==
@groovy.transform.ToString
@groovy.transform.EqualsAndHashCode
@groovy.transform.TupleConstructor
@groovy.transform.MapConstructor
@groovy.transform.Canonical
@groovy.transform.InheritConstructors
@groovy.lang.Category
@groovy.transform.IndexedProperty
@groovy.lang.Lazy
@groovy.lang.Newify
@groovy.transform.Sortable
@groovy.transform.builder.Builder
@groovy.transform.AutoImplement
@groovy.transform.NullCheck
@groovy.transform.BaseScript
@groovy.lang.Delegate
@groovy.transform.Immutable
@groovy.transform.ImmutableBase
@groovy.transform.PropertyOptions
@groovy.transform.VisibilityOptions
@groovy.transform.ImmutableOptions
@groovy.transform.KnownImmutable
@groovy.transform.Memoized
@groovy.transform.TailRecursive
@groovy.lang.Singleton
@groovy.lang.Mixin
Groovy…
is an agile and dynamic language for the Java Virtual Machine
builds upon the strengths of Java but has additional power features inspired by languages like Python, Ruby and Smalltalk
makes modern programming features available to Java developers with almost-zero learning curve
provides the ability to statically type check and statically compile your code for robustness and performance
supports Domain-Specific Languages and other compact syntax so your code becomes easy to read and maintain
makes writing shell and build scripts easy with its powerful processing primitives, OO abilities and an Ant DSL
increases developer productivity by reducing scaffolding code when developing web, GUI, database or console applications
simplifies testing by supporting unit testing and mocking out-of-the-box
seamlessly integrates with all existing Java classes and libraries
compiles straight to Java bytecode so you can use it anywhere you can use Java
This chapter covers the syntax of the Groovy programming language.The grammar of the language derives from the Java grammar,but enhances it with specific constructs for Groovy, and allows certain simplifications.
Single-line comments start with//
and can be found at any position in the line.The characters following//
, until the end of the line, are considered part of the comment.
// a standalone single line commentprintln "hello" // a comment till the end of the line
A multiline comment starts with/*
and can be found at any position in the line.The characters following/*
will be considered part of the comment, including new line characters,up to the first*/
closing the comment.Multiline comments can thus be put at the end of a statement, or even inside a statement.
/* a standalone multiline comment spanning two lines */println "hello" /* a multiline comment starting at the end of a statement */println 1 /* one */ + 2 /* two */
Similarly to multiline comments, Groovydoc comments are multiline, but start with/**
and end with*/
.Lines following the first Groovydoc comment line can optionally start with a star*
.Those comments are associated with:
type definitions (classes, interfaces, enums, annotations),
fields and properties definitions
methods definitions
Although the compiler will not complain about Groovydoc comments not being associated with the above language elements,you should prepend those constructs with the comment right before it.
/** * A Class description */class Person { /** the name of the person */ String name /** * Creates a greeting method for a certain person. * * @param otherPerson the person to greet * @return a greeting message */ String greet(String otherPerson) { "Hello ${otherPerson}" }}
Groovydoc follows the same conventions as Java’s own Javadoc.So you’ll be able to use the same tags as with Javadoc.
In addition, Groovy supportsRuntime Groovydoc since 3.0.0, i.e. Groovydoc can be retained at runtime.
Runtime Groovydoc is disabled by default. It can be enabled by adding JVM option-Dgroovy.attach.runtime.groovydoc=true |
The Runtime Groovydoc starts with/**@
and ends with*/
, for example:
/**@ * Some class groovydoc for Foo */class Foo { /**@ * Some method groovydoc for bar */ void bar() { }}assert Foo.class.groovydoc.content.contains('Some class groovydoc for Foo')(1)assert Foo.class.getMethod('bar', new Class[0]).groovydoc.content.contains('Some method groovydoc for bar')(2)
1 | Get the runtime groovydoc for classFoo |
2 | Get the runtime groovydoc for methodbar |
Beside the single-line comment, there is a special line comment, often called theshebang line understood by UNIX systemswhich allows scripts to be run directly from the command-line, provided you have installed the Groovy distributionand thegroovy
command is available on thePATH
.
#!/usr/bin/env groovyprintln "Hello from the shebang line"
The# character must be the first character of the file. Any indentation would yield a compilation error. |
Groovy has the following reserved keywords:
abstract | assert | break | case |
catch | class | const | continue |
def | default | do | else |
enum | extends | final | finally |
for | goto | if | implements |
import | instanceof | interface | native |
new | null | non-sealed | package |
public | protected | private | return |
static | strictfp | super | switch |
synchronized | this | threadsafe | throw |
throws | transient | try | while |
Of these,const
,goto
,strictfp
, andthreadsafe
are not currently in use.
The reserved keywords can’t in general be used for variable, field and method names.
A trick allows methods to be defined having the same name as a keywordby surrounding the name in quotes as shown in the following example:
// reserved keywords can be used for method names if quoteddef "abstract"() { true }// when calling such methods, the name must be qualified using "this."this.abstract()
Using such names might be confusing and is often best to avoid.The trick is primarily intended to enable certain Java integration scenariosand certainDSL scenarios wherehaving "verbs" and "nouns" with the same name as keywords may be desirable.
In addition, Groovy has the following contextual keywords:
as | in | permits | record |
sealed | trait | var | yields |
These words are only keywords in certain contexts and can be more freely used in some places,in particular for variables, fields and method names.
This extra lenience allows using method or variable names that were not keywords in earlierversions of Groovy or are not keywords in Java. Examples are shown here:
// contextual keywords can be used for field and variable namesdef as = trueassert as// contextual keywords can be used for method namesdef in() { true }// when calling such methods, the name only needs to be qualified using "this." in scenarios which would be ambiguousthis.in()
Groovy programmers familiar with these contextual keywords may still wish to avoidusing those names unless there is a good reason to use such a name.
The restrictions on reserved keywords also apply for theprimitive types, the boolean literals and the null literal (all of which are discussed later):
null | true | false | boolean |
char | byte | short | int |
long | float | double |
While not recommended, the same trick as for reserved keywords can be used:
def "null"() { true } // not recommended; potentially confusingassert this.null() // must be qualified
Using such words as method names is potentially confusing and is often best to avoid, however,it might be useful for certain kinds ofDSLs.
Identifiers start with a letter, a dollar or an underscore.They cannot start with a number.
A letter can be in the following ranges:
'a' to 'z' (lowercase ascii letter)
'A' to 'Z' (uppercase ascii letter)
'\u00C0' to '\u00D6'
'\u00D8' to '\u00F6'
'\u00F8' to '\u00FF'
'\u0100' to '\uFFFE'
Then following characters can contain letters and numbers.
Here are a few examples of valid identifiers (here, variable names):
def namedef item3def with_underscoredef $dollarStart
But the following ones are invalid identifiers:
def 3tierdef a+bdef a#b
All keywords are also valid identifiers when following a dot:
foo.asfoo.assertfoo.breakfoo.casefoo.catch
Quoted identifiers appear after the dot of a dotted expression.For instance, thename
part of theperson.name
expression can be quoted withperson."name"
orperson.'name'
.This is particularly interesting when certain identifiers contain illegal characters that are forbidden by the Java Language Specification,but which are allowed by Groovy when quoted. For example, characters like a dash, a space, an exclamation mark, etc.
def map = [:]map."an identifier with a space and double quotes" = "ALLOWED"map.'with-dash-signs-and-single-quotes' = "ALLOWED"assert map."an identifier with a space and double quotes" == "ALLOWED"assert map.'with-dash-signs-and-single-quotes' == "ALLOWED"
As we shall see in thefollowing section on strings, Groovy provides different string literals.All kind of strings are actually allowed after the dot:
map.'single quote'map."double quote"map.'''triple single quote'''map."""triple double quote"""map./slashy string/map.$/dollar slashy string/$
There’s a difference between plain character strings and Groovy’s GStrings (interpolated strings),as in that the latter case, the interpolated values are inserted in the final string for evaluating the whole identifier:
def firstname = "Homer"map."Simpson-${firstname}" = "Homer Simpson"assert map.'Simpson-Homer' == "Homer Simpson"
Text literals are represented in the form of chain of characters called strings.Groovy lets you instantiatejava.lang.String
objects, as well as GStrings (groovy.lang.GString
)which are also calledinterpolated strings in other programming languages.
Single-quoted strings are a series of characters surrounded by single quotes:
'a single-quoted string'
Single-quoted strings are plainjava.lang.String and don’t support interpolation. |
All the Groovy strings can be concatenated with the+
operator:
assert 'ab' == 'a' + 'b'
Triple-single-quoted strings are a series of characters surrounded by triplets of single quotes:
'''a triple-single-quoted string'''
Triple-single-quoted strings are plainjava.lang.String and don’t support interpolation. |
Triple-single-quoted strings may span multiple lines.The content of the string can cross line boundaries without the need to split the string in several piecesand without concatenation or newline escape characters:
def aMultilineString = '''line oneline twoline three'''
If your code is indented, for example in the body of the method of a class, your string will contain the whitespace of the indentation.The Groovy Development Kit contains methods for stripping out the indentation with theString#stripIndent()
method,and with theString#stripMargin()
method that takes a delimiter character to identify the text to remove from the beginning of a string.
When creating a string as follows:
def startingAndEndingWithANewline = '''line oneline twoline three'''
You will notice that the resulting string contains a newline character as first character.It is possible to strip that character by escaping the newline with a backslash:
def strippedFirstNewline = '''\line oneline twoline three'''assert !strippedFirstNewline.startsWith('\n')
You can escape single quotes with the backslash character to avoid terminating the string literal:
'an escaped single quote: \' needs a backslash'
And you can escape the escape character itself with a double backslash:
'an escaped escape character: \\ needs a double backslash'
Some special characters also use the backslash as escape character:
Escape sequence | Character |
---|---|
\b | backspace |
\f | formfeed |
\n | newline |
\r | carriage return |
\s | single space |
\t | tabulation |
\\ | backslash |
\' | single quote within a single-quoted string (and optional for triple-single-quoted and double-quoted strings) |
\" | double quote within a double-quoted string (and optional for triple-double-quoted and single-quoted strings) |
We’ll see some more escaping details when it comes to other types of strings discussed later.
For characters that are not present on your keyboard, you can use unicode escape sequences:a backslash, followed by 'u', then 4 hexadecimal digits.
For example, the Euro currency symbol can be represented with:
'The Euro currency symbol: \u20AC'
Double-quoted strings are a series of characters surrounded by double quotes:
"a double-quoted string"
Double-quoted strings are plainjava.lang.String if there’s no interpolated expression,but aregroovy.lang.GString instances if interpolation is present. |
To escape a double quote, you can use the backslash character: "A double quote: \"". |
Any Groovy expression can be interpolated in all string literals, apart from single and triple-single-quoted strings.Interpolation is the act of replacing a placeholder in the string with its value upon evaluation of the string.The placeholder expressions are surrounded by${}
. The curly braces may be omitted for unambiguous dotted expressions,i.e. we can use just a $ prefix in those cases.If the GString is ever passed to a method taking a String, the expression value inside the placeholderis evaluated to its string representation (by callingtoString()
on that expression) and the resultingString is passed to the method.
Here, we have a string with a placeholder referencing a local variable:
def name = 'Guillaume' // a plain stringdef greeting = "Hello ${name}"assert greeting.toString() == 'Hello Guillaume'
Any Groovy expression is valid, as we can see in this example with an arithmetic expression:
def sum = "The sum of 2 and 3 equals ${2 + 3}"assert sum.toString() == 'The sum of 2 and 3 equals 5'
Not only are expressions allowed in between the${} placeholder, but so are statements. However, a statement’s value is justnull .So if several statements are inserted in that placeholder, the last one should somehow return a meaningful value to be inserted.For instance, "The sum of 1 and 2 is equal to ${def a = 1; def b = 2; a + b}" is supported and works as expected but a good practice is usually to stick to simple expressions inside GString placeholders. |
In addition to${}
placeholders, we can also use a lone$
sign prefixing a dotted expression:
def person = [name: 'Guillaume', age: 36]assert "$person.name is $person.age years old" == 'Guillaume is 36 years old'
But only dotted expressions of the forma.b
,a.b.c
, etc, are valid. Expressions containing parentheses like method calls,curly braces for closures, dots which aren’t part of a property expression or arithmetic operators would be invalid.Given the following variable definition of a number:
def number = 3.14
The following statement will throw agroovy.lang.MissingPropertyException
because Groovy believes you’re trying to access thetoString
property of that number, which doesn’t exist:
shouldFail(MissingPropertyException) { println "$number.toString()"}
You can think of"$number.toString()" as being interpreted by the parser as"${number.toString}()" . |
Similarly, if the expression is ambiguous, you need to keep the curly braces:
String thing = 'treasure'assert 'The x-coordinate of the treasure is represented by treasure.x' == "The x-coordinate of the $thing is represented by $thing.x" // <= Not allowed: ambiguous!!assert 'The x-coordinate of the treasure is represented by treasure.x' == "The x-coordinate of the $thing is represented by ${thing}.x" // <= Curly braces required
If you need to escape the$
or${}
placeholders in a GString so they appear as is without interpolation,you just need to use a\
backslash character to escape the dollar sign:
assert '$5' == "\$5"assert '${name}' == "\${name}"
So far, we’ve seen we could interpolate arbitrary expressions inside the${}
placeholder, but there is a special case and notation for closure expressions. When the placeholder contains an arrow,${→}
, the expression is actually a closure expression — you can think of it as a closure with a dollar prepended in front of it:
def sParameterLessClosure = "1 + 2 == ${-> 3}"(1)assert sParameterLessClosure == '1 + 2 == 3'def sOneParamClosure = "1 + 2 == ${ w -> w << 3}"(2)assert sOneParamClosure == '1 + 2 == 3'
1 | The closure is a parameterless closure which doesn’t take arguments. |
2 | Here, the closure takes a singlejava.io.StringWriter argument, to which you can append content with the<< leftShift operator.In either case, both placeholders are embedded closures. |
In appearance, it looks like a more verbose way of defining expressions to be interpolated,but closures have an interesting advantage over mere expressions: lazy evaluation.
Let’s consider the following sample:
def number = 1(1)def eagerGString = "value == ${number}"def lazyGString = "value == ${ -> number }"assert eagerGString == "value == 1"(2)assert lazyGString == "value == 1"(3)number = 2(4)assert eagerGString == "value == 1"(5)assert lazyGString == "value == 2"(6)
1 | We define anumber variable containing1 that we then interpolate within two GStrings,as an expression ineagerGString and as a closure inlazyGString . |
2 | We expect the resulting string to contain the same string value of 1 foreagerGString . |
3 | Similarly forlazyGString |
4 | Then we change the value of the variable to a new number |
5 | With a plain interpolated expression, the value was actually bound at the time of creation of the GString. |
6 | But with a closure expression, the closure is called upon each coercion of the GString into String,resulting in an updated string containing the new number value. |
An embedded closure expression taking more than one parameter will generate an exception at runtime.Only closures with zero or one parameter are allowed. |
When a method (whether implemented in Java or Groovy) expects ajava.lang.String
,but we pass agroovy.lang.GString
instance,thetoString()
method of the GString is automatically and transparently called.
String takeString(String message) {(4) assert message instanceof String(5) return message}def message = "The message is ${'hello'}"(1)assert message instanceof GString(2)def result = takeString(message)(3)assert result instanceof Stringassert result == 'The message is hello'
1 | We create a GString variable |
2 | We double-check it’s an instance of the GString |
3 | We then pass that GString to a method taking a String as parameter |
4 | The signature of thetakeString() method explicitly says its sole parameter is a String |
5 | We also verify that the parameter is indeed a String and not a GString. |
Although interpolated strings can be used in lieu of plain Java strings,they differ with strings in a particular way: their hashCodes are different.Plain Java strings are immutable, whereas the resulting String representation of a GString can vary,depending on its interpolated values.Even for the same resulting string, GStrings and Strings don’t have the same hashCode.
assert "one: ${1}".hashCode() != "one: 1".hashCode()
GString and Strings having different hashCode values, using GString as Map keys should be avoided,especially if we try to retrieve an associated value with a String instead of a GString.
def key = "a"def m = ["${key}": "letter ${key}"](1)assert m["a"] == null(2)
1 | The map is created with an initial pair whose key is a GString |
2 | When we try to fetch the value with a String key, we will not find it, as Strings and GString have different hashCode values |
Triple-double-quoted strings behave like double-quoted strings, with the addition that they are multiline, like the triple-single-quoted strings.
def name = 'Groovy'def template = """ Dear Mr ${name}, You're the winner of the lottery! Yours sincerly, Dave"""assert template.toString().contains('Groovy')
Neither double quotes nor single quotes need be escaped in triple-double-quoted strings. |
Beyond the usual quoted strings, Groovy offers slashy strings, which use/
as the opening and closing delimiter.Slashy strings are particularly useful for defining regular expressions and patterns,as there is no need to escape backslashes.
Example of a slashy string:
def fooPattern = /.*foo.*/assert fooPattern == '.*foo.*'
Only forward slashes need to be escaped with a backslash:
def escapeSlash = /The character \/ is a forward slash/assert escapeSlash == 'The character / is a forward slash'
Slashy strings are multiline:
def multilineSlashy = /one two three/assert multilineSlashy.contains('\n')
Slashy strings can be thought of as just another way to define a GString but with different escaping rules. They hence support interpolation:
def color = 'blue'def interpolatedSlashy = /a ${color} car/assert interpolatedSlashy == 'a blue car'
An empty slashy string cannot be represented with a double forward slash, as it’s understood by the Groovy parser as a line comment.That’s why the following assert would actually not compile as it would look like a non-terminated statement:
assert '' == //
As slashy strings were mostly designed to make regexp easier so a few things thatare errors in GStrings like$()
or$5
will work with slashy strings.
Remember that escaping backslashes is not required. An alternative way of thinking of this isthat in fact escaping is not supported. The slashy string/\t/
won’t contain a tab but insteada backslash followed by the character 't'. Escaping is only allowed for the slash character, i.e./\/folder/
will be a slashy string containing'/folder'
. A consequence of slash escaping is that a slashy stringcan’t end with a backslash. Otherwise that will escape the slashy string terminator.You can instead use a special trick,/ends with slash ${'\'}/
. But best just avoid using a slashy string in such a case.
Dollar slashy strings are multiline GStrings delimited with an opening$/
and a closing/$
.The escaping character is the dollar sign, and it can escape another dollar, or a forward slash.Escaping for the dollar and forward slash characters is only needed where conflicts arise withthe special use of those characters. The characters$foo
would normally indicate a GStringplaceholder, so those four characters can be entered into a dollar slashy string by escaping the dollar, i.e.$$foo
.Similarly, you will need to escape a dollar slashy closing delimiter if you want it to appear in your string.
Here are a few examples:
def name = "Guillaume"def date = "April, 1st"def dollarSlashy = $/ Hello $name, today we're ${date}. $ dollar sign $$ escaped dollar sign \ backslash / forward slash $/ escaped forward slash $$$/ escaped opening dollar slashy $/$$ escaped closing dollar slashy/$assert [ 'Guillaume', 'April, 1st', '$ dollar sign', '$ escaped dollar sign', '\\ backslash', '/ forward slash', '/ escaped forward slash', '$/ escaped opening dollar slashy', '/$ escaped closing dollar slashy'].every { dollarSlashy.contains(it) }
It was created to overcome some of the limitations of the slashy string escaping rules.Use it when its escaping rules suit your string contents (typically if it has some slashes you don’t want to escape).
String name | String syntax | Interpolated | Multiline | Escape character |
Single-quoted |
|
| ||
Triple-single-quoted |
|
| ||
Double-quoted |
|
| ||
Triple-double-quoted |
|
| ||
Slashy |
|
| ||
Dollar slashy |
|
|
Unlike Java, Groovy doesn’t have an explicit character literal.However, you can be explicit about making a Groovy string an actual character, by three different means:
char c1 = 'A'(1)assert c1 instanceof Characterdef c2 = 'B' as char(2)assert c2 instanceof Characterdef c3 = (char)'C'(3)assert c3 instanceof Character
1 | by being explicit when declaring a variable holding the character by specifying thechar type |
2 | by using type coercion with theas operator |
3 | by using a cast to char operation |
The first option1 is interesting when the character is held in a variable,while the other two (2 and3) are more interesting when a char value must be passed as argument of a method call. |
Groovy supports different kinds of integral literals and decimal literals, backed by the usualNumber
types of Java.
The integral literal types are the same as in Java:
byte
char
short
int
long
java.math.BigInteger
You can create integral numbers of those types with the following declarations:
// primitive typesbyte b = 1char c = 2short s = 3int i = 4long l = 5// infinite precisionBigInteger bi = 6
If you use optional typing by using thedef
keyword, the type of the integral number will vary:it’ll adapt to the capacity of the type that can hold that number.
For positive numbers:
def a = 1assert a instanceof Integer// Integer.MAX_VALUEdef b = 2147483647assert b instanceof Integer// Integer.MAX_VALUE + 1def c = 2147483648assert c instanceof Long// Long.MAX_VALUEdef d = 9223372036854775807assert d instanceof Long// Long.MAX_VALUE + 1def e = 9223372036854775808assert e instanceof BigInteger
As well as for negative numbers:
def na = -1assert na instanceof Integer// Integer.MIN_VALUEdef nb = -2147483648assert nb instanceof Integer// Integer.MIN_VALUE - 1def nc = -2147483649assert nc instanceof Long// Long.MIN_VALUEdef nd = -9223372036854775808assert nd instanceof Long// Long.MIN_VALUE - 1def ne = -9223372036854775809assert ne instanceof BigInteger
Numbers can also be represented in binary, octal, hexadecimal and decimal bases.
Binary numbers start with a0b
prefix:
int xInt = 0b10101111assert xInt == 175short xShort = 0b11001001assert xShort == 201 as shortbyte xByte = 0b11assert xByte == 3 as bytelong xLong = 0b101101101101assert xLong == 2925lBigInteger xBigInteger = 0b111100100001assert xBigInteger == 3873gint xNegativeInt = -0b10101111assert xNegativeInt == -175
Octal numbers are specified in the typical format of0
followed by octal digits.
int xInt = 077assert xInt == 63short xShort = 011assert xShort == 9 as shortbyte xByte = 032assert xByte == 26 as bytelong xLong = 0246assert xLong == 166lBigInteger xBigInteger = 01111assert xBigInteger == 585gint xNegativeInt = -077assert xNegativeInt == -63
Hexadecimal numbers are specified in the typical format of0x
followed by hex digits.
int xInt = 0x77assert xInt == 119short xShort = 0xaaassert xShort == 170 as shortbyte xByte = 0x3aassert xByte == 58 as bytelong xLong = 0xffffassert xLong == 65535lBigInteger xBigInteger = 0xaaaaassert xBigInteger == 43690gDouble xDouble = new Double('0x1.0p0')assert xDouble == 1.0dint xNegativeInt = -0x77assert xNegativeInt == -119
The decimal literal types are the same as in Java:
float
double
java.math.BigDecimal
You can create decimal numbers of those types with the following declarations:
// primitive typesfloat f = 1.234double d = 2.345// infinite precisionBigDecimal bd = 3.456
Decimals can use exponents, with thee
orE
exponent letter, followed by an optional sign,and an integral number representing the exponent:
assert 1e3 == 1_000.0assert 2E4 == 20_000.0assert 3e+1 == 30.0assert 4E-2 == 0.04assert 5e-1 == 0.5
Conveniently for exact decimal number calculations, Groovy choosesjava.math.BigDecimal
as its decimal number type.In addition, bothfloat
anddouble
are supported, but require an explicit type declaration, type coercion or suffix.Even ifBigDecimal
is the default for decimal numbers, such literals are accepted in methods or closures takingfloat
ordouble
as parameter types.
Decimal numbers can’t be represented using a binary, octal or hexadecimal representation. |
When writing long literal numbers, it’s harder on the eye to figure out how some numbers are grouped together, for example with groups of thousands, of words, etc. By allowing you to place underscore in number literals, it’s easier to spot those groups:
long creditCardNumber = 1234_5678_9012_3456Llong socialSecurityNumbers = 999_99_9999Ldouble monetaryAmount = 12_345_132.12long hexBytes = 0xFF_EC_DE_5Elong hexWords = 0xFFEC_DE5Elong maxLong = 0x7fff_ffff_ffff_ffffLlong alsoMaxLong = 9_223_372_036_854_775_807Llong bytes = 0b11010010_01101001_10010100_10010010
We can force a number (including binary, octals and hexadecimals) to have a specific type by giving a suffix (see table below), either uppercase or lowercase.
Type | Suffix |
---|---|
BigInteger |
|
Long |
|
Integer |
|
BigDecimal |
|
Double |
|
Float |
|
Examples:
assert 42I == Integer.valueOf('42')assert 42i == Integer.valueOf('42') // lowercase i more readableassert 123L == Long.valueOf("123") // uppercase L more readableassert 2147483648 == Long.valueOf('2147483648') // Long type used, value too large for an Integerassert 456G == new BigInteger('456')assert 456g == new BigInteger('456')assert 123.45 == new BigDecimal('123.45') // default BigDecimal type usedassert .321 == new BigDecimal('.321')assert 1.200065D == Double.valueOf('1.200065')assert 1.234F == Float.valueOf('1.234')assert 1.23E23D == Double.valueOf('1.23E23')assert 0b1111L.class == Long // binaryassert 0xFFi.class == Integer // hexadecimalassert 034G.class == BigInteger // octal
Althoughoperators are covered in more detail elsewhere, it’s important to discuss the behavior of math operationsand what their resulting types are.
Division and power binary operations aside (covered below),
binary operations betweenbyte
,char
,short
andint
result inint
binary operations involvinglong
withbyte
,char
,short
andint
result inlong
binary operations involvingBigInteger
and any other integral type result inBigInteger
binary operations involvingBigDecimal
withbyte
,char
,short
,int
andBigInteger
result inBigDecimal
binary operations betweenfloat
,double
andBigDecimal
result indouble
binary operations between twoBigDecimal
result inBigDecimal
The following table summarizes those rules:
byte | char | short | int | long | BigInteger | float | double | BigDecimal | |
---|---|---|---|---|---|---|---|---|---|
byte | int | int | int | int | long | BigInteger | double | double | BigDecimal |
char | int | int | int | long | BigInteger | double | double | BigDecimal | |
short | int | int | long | BigInteger | double | double | BigDecimal | ||
int | int | long | BigInteger | double | double | BigDecimal | |||
long | long | BigInteger | double | double | BigDecimal | ||||
BigInteger | BigInteger | double | double | BigDecimal | |||||
float | double | double | double | ||||||
double | double | double | |||||||
BigDecimal | BigDecimal |
Thanks to Groovy’s operator overloading, the usual arithmetic operators work as well withBigInteger andBigDecimal ,unlike in Java where you have to use explicit methods for operating on those numbers. |
The division operators/
(and/=
for division and assignment) produce adouble
resultif either operand is afloat
ordouble
, and aBigDecimal
result otherwise(when both operands are any combination of an integral typeshort
,char
,byte
,int
,long
,BigInteger
orBigDecimal
).
BigDecimal
division is performed with thedivide()
method if the division is exact(i.e. yielding a result that can be represented within the bounds of the same precision and scale),or using aMathContext
with aprecisionof the maximum of the two operands' precision plus an extra precision of 10,and ascaleof the maximum of 10 and the maximum of the operands' scale.
For integer division like in Java, you should use theintdiv() method,as Groovy doesn’t provide a dedicated integer division operator symbol. |
The power operation is represented by the**
operator, with two parameters: the base and the exponent.The result of the power operation depends on its operands, and the result of the operation(in particular if the result can be represented as an integral value).
The following rules are used by Groovy’s power operation to determine the resulting type:
If the exponent is a decimal value
if the result can be represented as anInteger
, then return anInteger
else if the result can be represented as aLong
, then return aLong
otherwise return aDouble
If the exponent is an integral value
if the exponent is strictly negative, then return anInteger
,Long
orDouble
if the result value fits in that type
if the exponent is positive or zero
if the base is aBigDecimal
, then return aBigDecimal
result value
if the base is aBigInteger
, then return aBigInteger
result value
if the base is anInteger
, then return anInteger
if the result value fits in it, otherwise aBigInteger
if the base is aLong
, then return aLong
if the result value fits in it, otherwise aBigInteger
We can illustrate those rules with a few examples:
// base and exponent are ints and the result can be represented by an Integerassert 2 ** 3 instanceof Integer // 8assert 10 ** 9 instanceof Integer // 1_000_000_000// the base is a long, so fit the result in a Long// (although it could have fit in an Integer)assert 5L ** 2 instanceof Long // 25// the result can't be represented as an Integer or Long, so return a BigIntegerassert 100 ** 10 instanceof BigInteger // 10e20assert 1234 ** 123 instanceof BigInteger // 170515806212727042875...// the base is a BigDecimal and the exponent a negative int// but the result can be represented as an Integerassert 0.5 ** -2 instanceof Integer // 4// the base is an int, and the exponent a negative float// but again, the result can be represented as an Integerassert 1 ** -0.3f instanceof Integer // 1// the base is an int, and the exponent a negative int// but the result will be calculated as a Double// (both base and exponent are actually converted to doubles)assert 10 ** -1 instanceof Double // 0.1// the base is a BigDecimal, and the exponent is an int, so return a BigDecimalassert 1.2 ** 10 instanceof BigDecimal // 6.1917364224// the base is a float or double, and the exponent is an int// but the result can only be represented as a Double valueassert 3.4f ** 5 instanceof Double // 454.35430372146965assert 5.6d ** 2 instanceof Double // 31.359999999999996// the exponent is a decimal value// and the result can only be represented as a Double valueassert 7.8 ** 1.9 instanceof Double // 49.542708423868476assert 2 ** 0.1f instanceof Double // 1.0717734636432956
Boolean is a special data type that is used to represent truth values:true
andfalse
.Use this data type for simple flags that track true/falseconditions.
Boolean values can be stored in variables, assigned into fields, just like any other data type:
def myBooleanVariable = trueboolean untypedBooleanVar = falsebooleanField = true
true
andfalse
are the only two primitive boolean values.But more complex boolean expressions can be represented usinglogical operators.
In addition, Groovy hasspecial rules (often referred to asGroovy Truth)for coercing non-boolean objects to a boolean value.
Groovy uses a comma-separated list of values, surrounded by square brackets, to denote lists.Groovy lists are plain JDKjava.util.List
, as Groovy doesn’t define its own collection classes.The concrete list implementation used when defining list literals arejava.util.ArrayList
by default,unless you decide to specify otherwise, as we shall see later on.
def numbers = [1, 2, 3](1)assert numbers instanceof List(2)assert numbers.size() == 3(3)
1 | We define a list numbers delimited by commas and surrounded by square brackets, and we assign that list into a variable |
2 | The list is an instance of Java’sjava.util.List interface |
3 | The size of the list can be queried with thesize() method, and shows our list contains 3 elements |
In the above example, we used a homogeneous list, but you can also create lists containing values of heterogeneous types:
def heterogeneous = [1, "a", true](1)
1 | Our list here contains a number, a string and a boolean value |
We mentioned that by default, list literals are actually instances ofjava.util.ArrayList
,but it is possible to use a different backing type for our lists,thanks to using type coercion with theas
operator, or with explicit type declaration for your variables:
def arrayList = [1, 2, 3]assert arrayList instanceof java.util.ArrayListdef linkedList = [2, 3, 4] as LinkedList(1)assert linkedList instanceof java.util.LinkedListLinkedList otherLinked = [3, 4, 5](2)assert otherLinked instanceof java.util.LinkedList
1 | We use coercion with theas operator to explicitly request ajava.util.LinkedList implementation |
2 | We can say that the variable holding the list literal is of typejava.util.LinkedList |
You can access elements of the list with the[]
subscript operator (both for reading and setting values)with positive indices or negative indices to access elements from the end of the list, as well as with ranges,and use the<<
leftShift operator to append elements to a list:
def letters = ['a', 'b', 'c', 'd']assert letters[0] == 'a'(1)assert letters[1] == 'b'assert letters[-1] == 'd'(2)assert letters[-2] == 'c'letters[2] = 'C'(3)assert letters[2] == 'C'letters << 'e'(4)assert letters[ 4] == 'e'assert letters[-1] == 'e'assert letters[1, 3] == ['b', 'd'](5)assert letters[2..4] == ['C', 'd', 'e'](6)
1 | Access the first element of the list (zero-based counting) |
2 | Access the last element of the list with a negative index: -1 is the first element from the end of the list |
3 | Use an assignment to set a new value for the third element of the list |
4 | Use the<< leftShift operator to append an element at the end of the list |
5 | Access two elements at once, returning a new list containing those two elements |
6 | Use a range to access a range of values from the list, from a start to an end element position |
As lists can be heterogeneous in nature, lists can also contain other lists to create multidimensional lists:
def multi = [[0, 1], [2, 3]](1)assert multi[1][0] == 2(2)
1 | Define a list of numbers |
2 | Access the second element of the top-most list, and the first element of the inner list |
Groovy reuses the list notation for arrays, but to make such literals arrays,you need to explicitly define the type of the array through coercion or type declaration.
String[] arrStr = ['Ananas', 'Banana', 'Kiwi'](1)assert arrStr instanceof String[](2)assert !(arrStr instanceof List)def numArr = [1, 2, 3] as int[](3)assert numArr instanceof int[](4)assert numArr.size() == 3
1 | Define an array of strings using explicit variable type declaration |
2 | Assert that we created an array of strings |
3 | Create an array of ints with theas operator |
4 | Assert that we created an array of primitive ints |
You can also create multi-dimensional arrays:
def matrix3 = new Integer[3][3](1)assert matrix3.size() == 3Integer[][] matrix2(2)matrix2 = [[1, 2], [3, 4]]assert matrix2 instanceof Integer[][]
1 | You can define the bounds of a new array |
2 | Or declare an array without specifying its bounds |
Access to elements of an array follows the same notation as for lists:
String[] names = ['Cédric', 'Guillaume', 'Jochen', 'Paul']assert names[0] == 'Cédric'(1)names[2] = 'Blackdrag'(2)assert names[2] == 'Blackdrag'
1 | Retrieve the first element of the array |
2 | Set the value of the third element of the array to a new value |
Groovy has always supported literal list/array definitions using square bracketsand has avoided Java-style curly braces so as not to conflict with closure definitions.In the case where the curly braces come immediately after an array type declaration however,there is no ambiguity with closure definitions,so Groovy 3 and above support that variant of the Java array initialization expression.
Examples:
def primes = new int[] {2, 3, 5, 7, 11}assert primes.size() == 5 && primes.sum() == 28assert primes.class.name == '[I'def pets = new String[] {'cat', 'dog'}assert pets.size() == 2 && pets.sum() == 'catdog'assert pets.class.name == '[Ljava.lang.String;'// traditional Groovy alternative still supportedString[] groovyBooks = [ 'Groovy in Action', 'Making Java Groovy' ]assert groovyBooks.every{ it.contains('Groovy') }
Sometimes called dictionaries or associative arrays in other languages, Groovy features maps.Maps associate keys to values, separating keys and values with colons, and each key/value pairs with commas,and the whole keys and values surrounded by square brackets.
def colors = [red: '#FF0000', green: '#00FF00', blue: '#0000FF'](1)assert colors['red'] == '#FF0000'(2)assert colors.green == '#00FF00'(3)colors['pink'] = '#FF00FF'(4)colors.yellow = '#FFFF00'(5)assert colors.pink == '#FF00FF'assert colors['yellow'] == '#FFFF00'assert colors instanceof java.util.LinkedHashMap
1 | We define a map of string color names, associated with their hexadecimal-coded html colors |
2 | We use the subscript notation to check the content associated with thered key |
3 | We can also use the property notation to assert the color green’s hexadecimal representation |
4 | Similarly, we can use the subscript notation to add a new key/value pair |
5 | Or the property notation, to add theyellow color |
When using names for the keys, we actually define string keys in the map. |
Groovy creates maps that are actually instances ofjava.util.LinkedHashMap . |
If you try to access a key which is not present in the map:
assert colors.unknown == nulldef emptyMap = [:]assert emptyMap.anyKey == null
You will retrieve anull
result.
In the examples above, we used string keys, but you can also use values of other types as keys:
def numbers = [1: 'one', 2: 'two']assert numbers[1] == 'one'
Here, we used numbers as keys, as numbers can unambiguously be recognized as numbers,so Groovy will not create a string key like in our previous examples.But consider the case you want to pass a variable in lieu of the key, to have the value of that variable become the key:
def key = 'name'def person = [key: 'Guillaume'](1)assert !person.containsKey('name')(2)assert person.containsKey('key')(3)
1 | Thekey associated with the'Guillaume' name will actually be the"key" string, not the value associated with thekey variable |
2 | The map doesn’t contain the'name' key |
3 | Instead, the map contains a'key' key |
You can also pass quoted strings as well as keys: ["name": "Guillaume"].This is mandatory if your key string isn’t a valid identifier,for example if you wanted to create a string key containing a dash like in: ["street-name": "Main street"]. |
When you need to pass variable values as keys in your map definitions, you must surround the variable or expression with parentheses:
person = [(key): 'Guillaume'](1)assert person.containsKey('name')(2)assert !person.containsKey('key')(3)
1 | This time, we surround thekey variable with parentheses, to instruct the parser we are passing a variable rather than defining a string key |
2 | The map does contain thename key |
3 | But the map doesn’t contain thekey key as before |
This chapter covers the operators of the Groovy programming language.
Groovy supports the usual familiar arithmetic operators you find in mathematics and in other programming languages like Java.All the Java arithmetic operators are supported. Let’s go through them in the following examples.
The following binary arithmetic operators are available in Groovy:
Operator | Purpose | Remarks |
---|---|---|
| addition | |
| subtraction | |
| multiplication | |
| division | Use |
| remainder | |
| power | See the section aboutthe power operation for more information on the return type of the operation. |
Here are a few examples of usage of those operators:
assert 1 + 2 == 3assert 4 - 3 == 1assert 3 * 5 == 15assert 3 / 2 == 1.5assert 10 % 3 == 1assert 2 ** 3 == 8
The+
and-
operators are also available as unary operators:
assert +3 == 3assert -4 == 0 - 4assert -(-1) == 1(1)
1 | Note the usage of parentheses to surround an expression to apply the unary minus to that surrounded expression. |
In terms of unary arithmetics operators, the++
(increment) and--
(decrement) operators are available,both in prefix and postfix notation:
def a = 2def b = a++ * 3(1)assert a == 3 && b == 6def c = 3def d = c-- * 2(2)assert c == 2 && d == 6def e = 1def f = ++e + 3(3)assert e == 2 && f == 5def g = 4def h = --g + 1(4)assert g == 3 && h == 4
1 | The postfix increment will incrementa after the expression has been evaluated and assigned intob |
2 | The postfix decrement will decrementc after the expression has been evaluated and assigned intod |
3 | The prefix increment will incremente before the expression is evaluated and assigned intof |
4 | The prefix decrement will decrementg before the expression is evaluated and assigned intoh |
For the unary not operator on Booleans, seeConditional operators.
The binary arithmetic operators we have seen above are also available in an assignment form:
+=
-=
*=
/=
%=
**=
Let’s see them in action:
def a = 4a += 3assert a == 7def b = 5b -= 3assert b == 2def c = 5c *= 3assert c == 15def d = 10d /= 2assert d == 5def e = 10e %= 3assert e == 1def f = 3f **= 2assert f == 9
Relational operators allow comparisons between objects, to know if two objects are the same or different,or if one is greater than, less than, or equal to the other.
The following operators are available:
Operator | Purpose |
---|---|
| equal |
| different |
| less than |
| less than or equal |
| greater than |
| greater than or equal |
| identical (Since Groovy 3.0.0) |
| not identical (Since Groovy 3.0.0) |
Here are some examples of simple number comparisons using these operators:
assert 1 + 2 == 3assert 3 != 4assert -2 < 3assert 2 <= 2assert 3 <= 4assert 5 > 1assert 5 >= -2
Both===
and!==
are supported which are the same as calling theis()
method,and negating a call to theis()
method respectively.
import groovy.transform.EqualsAndHashCode@EqualsAndHashCodeclass Creature { String type }def cat = new Creature(type: 'cat')def copyCat = catdef lion = new Creature(type: 'cat')assert cat.equals(lion) // Java logical equalityassert cat == lion // Groovy shorthand operatorassert cat.is(copyCat) // Groovy identityassert cat === copyCat // operator shorthandassert cat !== lion // negated operator shorthand
Groovy offers three logical operators for boolean expressions:
&&
: logical "and"
||
: logical "or"
!
: logical "not"
Let’s illustrate them with the following examples:
assert !false(1)assert true && true(2)assert true || false(3)
1 | "not" false is true |
2 | true "and" true is true |
3 | true "or" false is true |
The logical "not" has a higher priority than the logical "and".
assert (!false && false) == false(1)
1 | Here, the assertion is true (as the expression in parentheses is false), because "not" has a higher precedence than "and", so it only applies to the first "false" term; otherwise, it would have applied to the result of the "and", turned it into true, and the assertion would have failed |
The logical "and" has a higher priority than the logical "or".
assert true || true && false(1)
1 | Here, the assertion is true, because "and" has a higher precedence than "or", therefore the "or" is executed last and returns true, having one true argument; otherwise, the "and" would have executed last and returned false, having one false argument, and the assertion would have failed |
The logical||
operator supports short-circuiting: if the left operand is true, it knows that the result will be true in any case, so it won’t evaluate the right operand.The right operand will be evaluated only if the left operand is false.
Likewise for the logical&&
operator: if the left operand is false, it knows that the result will be false in any case, so it won’t evaluate the right operand.The right operand will be evaluated only if the left operand is true.
boolean checkIfCalled() {(1) called = true}called = falsetrue || checkIfCalled()assert !called(2)called = falsefalse || checkIfCalled()assert called(3)called = falsefalse && checkIfCalled()assert !called(4)called = falsetrue && checkIfCalled()assert called(5)
1 | We create a function that sets thecalled flag to true whenever it’s called |
2 | In the first case, after resetting the called flag, we confirm that if the left operand to|| is true, the function is not called, as|| short-circuits the evaluation of the right operand |
3 | In the second case, the left operand is false and so the function is called, as indicated by the fact our flag is now true |
4 | Likewise for&& , we confirm that the function is not called with a false left operand |
5 | But the function is called with a true left operand |
Groovy offers four bitwise operators:
&
: bitwise "and"
|
: bitwise "or"
^
: bitwise "xor" (exclusive "or")
~
: bitwise negation
Bitwise operators can be applied on arguments which are of typebyte
,short
,int
,long
, orBigInteger
.If one of the arguments is aBigInteger
, the result will be of typeBigInteger
;otherwise, if one of the arguments is along
, the result will be of typelong
;otherwise, the result will be of typeint
:
int a = 0b00101010assert a == 42int b = 0b00001000assert b == 8assert (a & a) == a(1)assert (a & b) == b(2)assert (a | a) == a(3)assert (a | b) == a(4)int mask = 0b11111111(5)assert ((a ^ a) & mask) == 0b00000000(6)assert ((a ^ b) & mask) == 0b00100010(7)assert ((~a) & mask) == 0b11010101(8)
1 | bitwise and |
2 | bitwise and returns common bits |
3 | bitwise or |
4 | bitwise or returns all '1' bits |
5 | setting a mask to check only the last 8 bits |
6 | bitwise exclusive or on self returns 0 |
7 | bitwise exclusive or |
8 | bitwise negation |
It’s worth noting that the internal representation of primitive types follow theJava Language Specification. In particular,primitive types are signed, meaning that for a bitwise negation, it is always good to use a mask to retrieve only the necessary bits.
In Groovy, bitwise operators areoverloadable, meaning that you can define the behavior of those operators for any kind of object.
Groovy offers three bit shift operators:
<<
: left shift
>>
: right shift
>>>
: right shift unsigned
All three operators are applicable where the left argument is of typebyte
,short
,int
, orlong
.The first two operators can also be applied where the left argument is of typeBigInteger
.If the left argument is aBigInteger
, the result will be of typeBigInteger
;otherwise, if the left argument is along
, the result will be of typelong
;otherwise, the result will be of typeint
:
assert 12.equals(3 << 2)(1)assert 24L.equals(3L << 3)(1)assert 48G.equals(3G << 4)(1)assert 4095 == -200 >>> 20assert -1 == -200 >> 20assert 2G == 5G >> 1assert -3G == -5G >> 1
1 | equals method used instead of== to confirm result type |
In Groovy, bit shift operators areoverloadable, meaning that you can define the behavior of those operators for any kind of object.
The "not" operator is represented with an exclamation mark (!
) and inverts the result of the underlying boolean expression. Inparticular, it is possible to combine thenot
operator with theGroovy truth:
assert (!true) == false(1)assert (!'foo') == false(2)assert (!'') == true(3)
1 | the negation oftrue isfalse |
2 | 'foo' is a non-empty string, evaluating totrue , so negation returnsfalse |
3 | '' is an empty string, evaluating tofalse , so negation returnstrue |
The ternary operator is a shortcut expression that is equivalent to an if/else branch assigning some value to a variable.
Instead of:
if (string!=null && string.length()>0) { result = 'Found'} else { result = 'Not found'}
You can write:
result = (string!=null && string.length()>0) ? 'Found' : 'Not found'
The ternary operator is also compatible with theGroovy truth, so you can make it even simpler:
result = string ? 'Found' : 'Not found'
The "Elvis operator" is a shortening of the ternary operator. One instance of where this is handy is for returninga 'sensible default' value if an expression resolves tofalse
-ish (as inGroovy truth). A simple example might look like this:
displayName = user.name ? user.name : 'Anonymous'(1)displayName = user.name ?: 'Anonymous'(2)
1 | with the ternary operator, you have to repeat the value you want to assign |
2 | with the Elvis operator, the value, which is tested, is used if it is notfalse -ish |
Usage of the Elvis operator reduces the verbosity of your code and reduces the risks of errors in case of refactorings,by removing the need to duplicate the expression which is tested in both the condition and the positive return value.
Groovy 3.0.0 introduces the Elvis operator, for example:
import groovy.transform.ToString@ToString(includePackage = false)class Element { String name int atomicNumber}def he = new Element(name: 'Helium')he.with { name = name ?: 'Hydrogen' // existing Elvis operator atomicNumber ?= 2 // new Elvis assignment shorthand}assert he.toString() == 'Element(Helium, 2)'
The Safe Navigation operator is used to avoid aNullPointerException
. Typically when you have a reference to an objectyou might need to verify that it is notnull
before accessing methods or properties of the object. To avoid this, the safenavigation operator will simply returnnull
instead of throwing an exception, like so:
def person = Person.find { it.id == 123 }(1)def name = person?.name(2)assert name == null(3)
1 | find will return anull instance |
2 | use of the null-safe operator prevents from aNullPointerException |
3 | result isnull |
Normally in Groovy, when you write code like this:
class User { public final String name(1) User(String name) { this.name = name} String getName() { "Name: $name" }(2)}def user = new User('Bob')assert user.name == 'Name: Bob'(3)
1 | public fieldname |
2 | a getter forname that returns a custom string |
3 | calls the getter |
Theuser.name
call triggers a call to the property of the same name, that is to say, here, to the getter forname
. Ifyou want to retrieve the field instead of calling the getter, you can use the direct field access operator:
assert user.@name == 'Bob'(1)
1 | use of.@ forces usage of the field instead of the getter |
The method pointer operator (.&
) can be used to store a reference to a method in a variable,in order to call it later:
def str = 'example of method reference'(1)def fun = str.&toUpperCase(2)def upper = fun()(3)assert upper == str.toUpperCase()(4)
1 | thestr variable contains aString |
2 | we store a reference to thetoUpperCase method on thestr instance inside a variable namedfun |
3 | fun can be called like a regular method |
4 | we can check that the result is the same as if we had called it directly onstr |
There are multiple advantages in using method pointers. First of all, the type of such a method pointer isagroovy.lang.Closure
, so it can be used in any place a closure would be used. In particular, it is suitable toconvert an existing method for the needs of the strategy pattern:
def transform(List elements, Closure action) {(1) def result = [] elements.each { result << action(it) } result}String describe(Person p) {(2) "$p.name is $p.age"}def action = this.&describe(3)def list = [ new Person(name: 'Bob', age: 42), new Person(name: 'Julia', age: 35)](4)assert transform(list, action) == ['Bob is 42', 'Julia is 35'](5)
1 | thetransform method takes each element of the list and calls theaction closure on them, returning a new list |
2 | we define a function that takes aPerson and returns aString |
3 | we create a method pointer on that function |
4 | we create the list of elements we want to collect the descriptors |
5 | the method pointer can be used where aClosure was expected |
Method pointers are bound by the receiver and a method name. Arguments are resolved at runtime, meaning that if you havemultiple methods with the same name, the syntax is not different, only resolution of the appropriate method to be calledwill be done at runtime:
def doSomething(String str) { str.toUpperCase() }(1)def doSomething(Integer x) { 2*x }(2)def reference = this.&doSomething(3)assert reference('foo') == 'FOO'(4)assert reference(123) == 246(5)
1 | define an overloadeddoSomething method accepting aString as an argument |
2 | define an overloadeddoSomething method accepting anInteger as an argument |
3 | create a single method pointer ondoSomething , without specifying argument types |
4 | using the method pointer with aString calls theString version ofdoSomething |
5 | using the method pointer with anInteger calls theInteger version ofdoSomething |
To align with Java 8 method reference expectations, in Groovy 3 and above, you can usenew
as themethod name to obtain a method pointer to the constructor:
def foo = BigInteger.&newdef fortyTwo = foo('42')assert fortyTwo == 42G
Also in Groovy 3 and above, you can obtain a method pointer to an instance method of a class.This method pointer takes an additional parameter being the receiver instance toinvoke the method on:
def instanceMethod = String.&toUpperCaseassert instanceMethod('foo') == 'FOO'
For backwards compatibility, any static methods that happen to have the correctparameters for the call will be given precedence over instance methods for this case.
The Parrot parser in Groovy 3+ supports the Java 8+ method reference operator.The method reference operator (::
) can be used to reference a method or constructorin contexts expecting a functional interface. This overlaps somewhat with the functionalityprovided by Groovy’s method pointer operator. Indeed, for dynamic Groovy, the methodreference operator is just an alias for the method pointer operator.For static Groovy, the operator results in bytecode similar to the bytecodethat Java would produce for the same context.
Some examples highlighting various supported method reference cases are shown in the following script:
import groovy.transform.CompileStaticimport static java.util.stream.Collectors.toList@CompileStaticvoid methodRefs() { assert 6G == [1G, 2G, 3G].stream().reduce(0G, BigInteger::add)(1) assert [4G, 5G, 6G] == [1G, 2G, 3G].stream().map(3G::add).collect(toList())(2) assert [1G, 2G, 3G] == [1L, 2L, 3L].stream().map(BigInteger::valueOf).collect(toList())(3) assert [1G, 2G, 3G] == [1L, 2L, 3L].stream().map(3G::valueOf).collect(toList())(4)}methodRefs()
1 | class instance method reference: add(BigInteger val) is an instance method in BigInteger |
2 | object instance method reference: add(BigInteger val) is an instance method for object 3G |
3 | class static method reference: valueOf(long val) is a static method for class BigInteger |
4 | object static method reference: valueOf(long val) is a static method for object 3G (some consider this bad style in normal circumstances) |
Some examples highlighting various supported constructor reference cases are shown in the following script:
@CompileStaticvoid constructorRefs() { assert [1, 2, 3] == ['1', '2', '3'].stream().map(Integer::valueOf).collect(toList())(1) def result = [1, 2, 3].stream().toArray(Integer[]::new)(2) assert result instanceof Integer[] assert result.toString() == '[1, 2, 3]'}constructorRefs()
1 | class constructor reference |
2 | array constructor reference |
The pattern operator (~
) provides a simple way to create ajava.util.regex.Pattern
instance:
def p = ~/foo/assert p instanceof Pattern
while in general, you find the pattern operator with an expression in a slashy-string, it can be used with any kind ofString
in Groovy:
p = ~'foo'(1)p = ~"foo"(2)p = ~$/dollar/slashy $ string/$(3)p = ~"${pattern}"(4)
1 | using single quote strings |
2 | using double quotes strings |
3 | the dollar-slashy string lets you use slashes and the dollar sign without having to escape them |
4 | you can also use a GString! |
While you can use most String forms with the Pattern, Find and Match operators,we recommend using the slashy string most of the time to save having toremember the otherwise needed escaping requirements. |
Alternatively to building a pattern, you can use the find operator=~
to directly create ajava.util.regex.Matcher
instance:
def text = "some text to match"def m = text =~ /match/(1)assert m instanceof Matcher(2)if (!m) {(3) throw new RuntimeException("Oops, text not found!")}
1 | =~ creates a matcher against thetext variable, using the pattern on the right hand side |
2 | the return type of=~ is aMatcher |
3 | equivalent to callingif (!m.find(0)) |
Since aMatcher
coerces to aboolean
by calling itsfind
method, the=~
operator is consistent with the simpleuse of Perl’s=~
operator, when it appears as a predicate (inif
,?:
, etc.). When the intent is to iterate overmatches of the specified pattern (inwhile
, etc.) callfind()
directly on the matcher or use theiterator
DGM.
The match operator (==~
) is a slight variation of the find operator, that does not return aMatcher
but a booleanand requires a strict match of the input string:
m = text ==~ /match/(1)assert m instanceof Boolean(2)if (m) {(3) throw new RuntimeException("Should not reach that point!")}
1 | ==~ matches the subject with the regular expression, but match must be strict |
2 | the return type of==~ is therefore aboolean |
3 | equivalent to callingif (text ==~ /match/) |
Typically, the match operator is used when the pattern involves a single exact match, otherwisethe find operator might be more useful.
assert 'two words' ==~ /\S+\s+\S+/assert 'two words' ==~ /^\S+\s+\S+$/(1)assert !(' leading space' ==~ /\S+\s+\S+/)(2)def m1 = 'two words' =~ /^\S+\s+\S+$/assert m1.size() == 1(3)def m2 = 'now three words' =~ /^\S+\s+\S+$/(4)assert m2.size() == 0(5)def m3 = 'now three words' =~ /\S+\s+\S+/assert m3.size() == 1(6)assert m3[0] == 'now three'def m4 = ' leading space' =~ /\S+\s+\S+/assert m4.size() == 1(7)assert m4[0] == 'leading space'def m5 = 'and with four words' =~ /\S+\s+\S+/assert m5.size() == 2(8)assert m5[0] == 'and with'assert m5[1] == 'four words'
1 | equivalent, but explicit ^ and $ are discouraged since they aren’t needed |
2 | no match because of leading space |
3 | one match |
4 | ^ and $ indicate exact match required |
5 | zero matches |
6 | one match, greedily starting at first word |
7 | one match, ignores leading space |
8 | two matches |
The Spread-dot Operator (*.
), often abbreviated to just Spread Operator, is used to invoke an action on all itemsof an aggregate object. It is equivalent to calling the action on each item and collecting the result into a list:
class Car { String make String model}def cars = [ new Car(make: 'Peugeot', model: '508'), new Car(make: 'Renault', model: 'Clio')](1)def makes = cars*.make(2)assert makes == ['Peugeot', 'Renault'](3)
1 | build a list ofCar items. The list is an aggregate of objects. |
2 | call the spread operator on the list, accessing themake property of each item |
3 | returns a list of strings corresponding to the collection ofmake items |
The expressioncars*.make
is equivalent tocars.collect{ it.make }
.Groovy’s GPath notation allows a short-cut when the referenced propertyisn’t a property of the containing list, in that case it is automaticallyspread. In the previously mentioned case, the expressioncars.make
canbe used, though retaining the explicit spread-dot operator is often recommended.
The spread operator is null-safe, meaning that if an element of the collection is null,it will return null instead of throwing aNullPointerException
:
cars = [ new Car(make: 'Peugeot', model: '508'), null,(1) new Car(make: 'Renault', model: 'Clio')]assert cars*.make == ['Peugeot', null, 'Renault'](2)assert null*.make == null(3)
1 | build a list for which one of the elements isnull |
2 | using the spread operator willnot throw aNullPointerException |
3 | the receiver might also be null, in which case the return value isnull |
The spread operator can be used on any class which implements theIterable
interface:
class Component { Integer id String name}class CompositeObject implements Iterable<Component> { def components = [ new Component(id: 1, name: 'Foo'), new Component(id: 2, name: 'Bar')] @Override Iterator<Component> iterator() { components.iterator() }}def composite = new CompositeObject()assert composite*.id == [1,2]assert composite*.name == ['Foo','Bar']
Use multiple invocations of the spread-dot operator (herecars*.models*.name
) whenworking with aggregates of data structures which themselves contain aggregates:
class Make { String name List<Model> models}@Canonicalclass Model { String name}def cars = [ new Make(name: 'Peugeot', models: [new Model('408'), new Model('508')]), new Make(name: 'Renault', models: [new Model('Clio'), new Model('Captur')])]def makes = cars*.nameassert makes == ['Peugeot', 'Renault']def models = cars*.models*.nameassert models == [['408', '508'], ['Clio', 'Captur']]assert models.sum() == ['408', '508', 'Clio', 'Captur'] // flatten one levelassert models.flatten() == ['408', '508', 'Clio', 'Captur'] // flatten all levels (one in this case)
Consider using thecollectNested
DGM method instead of the spread-dot operator for collections of collections:
class Car { String make String model}def cars = [ [ new Car(make: 'Peugeot', model: '408'), new Car(make: 'Peugeot', model: '508') ], [ new Car(make: 'Renault', model: 'Clio'), new Car(make: 'Renault', model: 'Captur') ]]def models = cars.collectNested{ it.model }assert models == [['408', '508'], ['Clio', 'Captur']]
There may be situations when the arguments of a method call can be found in a list that you need to adapt to the methodarguments. In such situations, you can use the spread operator to call the method. For example, imagine you have thefollowing method signature:
int function(int x, int y, int z) { x*y+z}
then if you have the following list:
def args = [4,5,6]
you can call the method without having to define intermediate variables:
assert function(*args) == 26
It is even possible to mix normal arguments with spread ones:
args = [4]assert function(*args,5,6) == 26
When used inside a list literal, the spread operator acts as if the spread element contents were inlined into the list:
def items = [4,5](1)def list = [1,2,3,*items,6](2)assert list == [1,2,3,4,5,6](3)
1 | items is a list |
2 | we want to insert the contents of theitems list directly intolist without having to calladdAll |
3 | the contents ofitems has been inlined intolist |
The spread map operator works in a similar manner as the spread list operator, but for maps. It allows you to inlinethe contents of a map into another map literal, like in the following example:
def m1 = [c:3, d:4](1)def map = [a:1, b:2, *:m1](2)assert map == [a:1, b:2, c:3, d:4](3)
1 | m1 is the map that we want to inline |
2 | we use the*:m1 notation to spread the contents ofm1 intomap |
3 | map contains all the elements ofm1 |
The position of the spread map operator is relevant, like illustrated in the following example:
def m1 = [c:3, d:4](1)def map = [a:1, b:2, *:m1, d: 8](2)assert map == [a:1, b:2, c:3, d:8](3)
1 | m1 is the map that we want to inline |
2 | we use the*:m1 notation to spread the contents ofm1 intomap , but redefine the keyd after spreading |
3 | map contains all the expected keys, butd was redefined |
Groovy supports the concept of ranges and provides a notation (..
) to create ranges of objects:
def range = 0..5(1)assert (0..5).collect() == [0, 1, 2, 3, 4, 5](2)assert (0..<5).collect() == [0, 1, 2, 3, 4](3)assert (0<..5).collect() == [1, 2, 3, 4, 5](4)assert (0<..<5).collect() == [1, 2, 3, 4](5)assert (0..5) instanceof List(6)assert (0..5).size() == 6(7)
1 | a simple range of integers, stored into a local variable |
2 | anIntRange , with inclusive bounds |
3 | anIntRange , with exclusive upper bound |
4 | anIntRange , with exclusive lower bound |
5 | anIntRange , with exclusive lower and upper bounds |
6 | agroovy.lang.Range implements theList interface |
7 | meaning that you can call thesize method on it |
Ranges implementation is lightweight, meaning that only the lower and upper bounds are stored. You can create a rangefrom anyComparable
object that hasnext()
andprevious()
methods to determine the next / previous item in the range.For example, you can create a range of characters this way:
assert ('a'..'d').collect() == ['a','b','c','d']
The spaceship operator (<=>
) delegates to thecompareTo
method:
assert (1 <=> 1) == 0assert (1 <=> 2) == -1assert (2 <=> 1) == 1assert ('a' <=> 'z') == -1
The subscript operator is a shorthand notation forgetAt
orputAt
, depending on whether you find it onthe left hand side or the right hand side of an assignment:
def list = [0,1,2,3,4]assert list[2] == 2(1)list[2] = 4(2)assert list[0..2] == [0,1,4](3)list[0..2] = [6,6,6](4)assert list == [6,6,6,3,4](5)
1 | [2] can be used instead ofgetAt(2) |
2 | if on left hand side of an assignment, will callputAt |
3 | getAt also supports ranges |
4 | so doesputAt |
5 | the list is mutated |
The subscript operator, in combination with a custom implementation ofgetAt
/putAt
is a convenient way for destructuringobjects:
class User { Long id String name def getAt(int i) {(1) switch (i) { case 0: return id case 1: return name } throw new IllegalArgumentException("No such element $i") } void putAt(int i, def value) {(2) switch (i) { case 0: id = value; return case 1: name = value; return } throw new IllegalArgumentException("No such element $i") }}def user = new User(id: 1, name: 'Alex')(3)assert user[0] == 1(4)assert user[1] == 'Alex'(5)user[1] = 'Bob'(6)assert user.name == 'Bob'(7)
1 | theUser class defines a customgetAt implementation |
2 | theUser class defines a customputAt implementation |
3 | create a sample user |
4 | using the subscript operator with index 0 allows retrieving the user id |
5 | using the subscript operator with index 1 allows retrieving the user name |
6 | we can use the subscript operator to write to a property thanks to the delegation toputAt |
7 | and check that it’s really the propertyname which was changed |
Groovy 3.0.0 introduces safe indexing operator, i.e.?[]
, which is similar to?.
. For example:
String[] array = ['a', 'b']assert 'b' == array?[1] // get using normal array indexarray?[1] = 'c' // set using normal array indexassert 'c' == array?[1]array = nullassert null == array?[1] // return null for all index valuesarray?[1] = 'c' // quietly ignore attempt to set valueassert null == array?[1]def personInfo = [name: 'Daniel.Sun', location: 'Shanghai']assert 'Daniel.Sun' == personInfo?['name'] // get using normal map indexpersonInfo?['name'] = 'sunlan' // set using normal map indexassert 'sunlan' == personInfo?['name']personInfo = nullassert null == personInfo?['name'] // return null for all map valuespersonInfo?['name'] = 'sunlan' // quietly ignore attempt to set valueassert null == personInfo?['name']
The membership operator (in
) is equivalent to calling theisCase
method. In the context of aList
, it is equivalentto callingcontains
, like in the following example:
def list = ['Grace','Rob','Emmy']assert ('Emmy' in list)(1)assert ('Alex' !in list)(2)
1 | equivalent to callinglist.contains('Emmy') orlist.isCase('Emmy') |
2 | membership negation equivalent to calling!list.contains('Emmy') or!list.isCase('Emmy') |
In Groovy, using==
to test equality is different from using the same operator in Java. In Groovy, it is callingequals
.If you want to compare reference equality, you should useis
like in the following example:
def list1 = ['Groovy 1.8','Groovy 2.0','Groovy 2.3'](1)def list2 = ['Groovy 1.8','Groovy 2.0','Groovy 2.3'](2)assert list1 == list2(3)assert !list1.is(list2)(4)assert list1 !== list2(5)
1 | Create a list of strings |
2 | Create another list of strings containing the same elements |
3 | using== , we test object equality, equivalent tolist1.equals(list2) in Java |
4 | usingis , we can check that references are distinct, equivalent tolist1 == list2 in Java |
5 | using=== or!== (supported and recommended since Groovy 3.0.0), we can also check whether references are distinct or not, equivalent tolist1 == list2 andlist1 != list2 in Java |
The coercion operator (as
) is a variant of casting. Coercion converts object from one type to anotherwithout thembeing compatible for assignment. Let’s take an example:
String input = '42'Integer num = (Integer) input(1)
1 | String is not assignable to anInteger , so it will produce aClassCastException at runtime |
This can be fixed by usingcoercion instead:
String input = '42'Integer num = input as Integer(1)
1 | String is not assignable to anInteger , but use ofas willcoerce it to anInteger |
When an object is coerced into another, unless the target type is the same as the source type, coercion will return anew object. The rules of coercion differ depending on the source and target types, and coercion may fail if no conversionrules are found. Custom conversion rules may be implemented thanks to theasType
method:
class Identifiable { String name}class User { Long id String name def asType(Class target) {(1) if (target == Identifiable) { return new Identifiable(name: name) } throw new ClassCastException("User cannot be coerced into $target") }}def u = new User(name: 'Xavier')(2)def p = u as Identifiable(3)assert p instanceof Identifiable(4)assert !(p instanceof User)(5)
1 | theUser class defines a custom conversion rule fromUser toIdentifiable |
2 | we create an instance ofUser |
3 | we coerce theUser instance into anIdentifiable |
4 | the target is an instance ofIdentifiable |
5 | the target is not an instance ofUser anymore |
The diamond operator (<>
) is a syntactic sugar only operator added to support compatibility with the operator of thesame name in Java 7. It is used to indicate that generic types should be inferred from the declaration:
List<String> strings = new LinkedList<>()
In dynamic Groovy, this is totally unused. In statically type checked Groovy, it is also optional since the Groovytype checker performs type inference whether this operator is present or not.
The call operator()
is used to call a method namedcall
implicitly. For any object which defines acall
method, you can omit the.call
part and use the call operator instead:
class MyCallable { int call(int x) {(1) 2*x }}def mc = new MyCallable()assert mc.call(2) == 4(2)assert mc(2) == 4(3)
1 | MyCallable defines a method namedcall . Note that it doesn’t need to implementjava.util.concurrent.Callable |
2 | we can call the method using the classic method call syntax |
3 | or we can omit.call thanks to the call operator |
The table below lists all groovy operators in order of precedence.
Level | Operator(s) | Name(s) |
---|---|---|
1 |
| object creation, explicit parentheses |
| method call, closure, literal list/map | |
| member access, method closure, field/attribute access | |
| safe dereferencing, spread, spread-dot, spread-map | |
| bitwise negate/pattern, not, typecast | |
| list/map/array (safe) index, post inc/decrement | |
2 |
| power |
3 |
| pre inc/decrement, unary plus, unary minus |
4 |
| multiply, div, remainder |
5 |
| addition, subtraction |
6 |
| left/right (unsigned) shift, inclusive/exclusive ranges |
7 |
| less/greater than/or equal, in, not in, instanceof, not instanceof, type coercion |
8 |
| equals, not equals, compare to, identical to, not identical to |
| regex find, regex match | |
9 |
| binary/bitwise and |
10 |
| binary/bitwise xor |
11 |
| binary/bitwise or |
12 |
| logical and |
13 |
| logical or |
14 |
| ternary conditional |
| elvis operator | |
15 |
| various assignments |
Groovy allows you to overload the various operators so that they can be used with your own classes. Consider this simpleclass:
class Bucket { int size Bucket(int size) { this.size = size } Bucket plus(Bucket other) {(1) return new Bucket(this.size + other.size) }}
1 | Bucket implements a special method calledplus() |
Just by implementing theplus()
method, theBucket
class can now be used with the+
operator like so:
def b1 = new Bucket(4)def b2 = new Bucket(11)assert (b1 + b2).size == 15(1)
1 | The twoBucket objects can be added together with the+ operator |
All (non-comparator) Groovy operators have a corresponding method that you can implement in your own classes. The onlyrequirements are that your method is public, has the correct name, and has the correct number of arguments. The argumenttypes depend on what types you want to support on the right hand side of the operator. For example, you could supportthe statement
assert (b1 + 11).size == 15
by implementing theplus()
method with this signature:
Bucket plus(int capacity) { return new Bucket(this.size + capacity)}
Here is a complete list of the operators and their corresponding methods:
Operator | Method | Operator | Method |
---|---|---|---|
| a.plus(b) |
| a.getAt(b) |
| a.minus(b) |
| a.putAt(b, c) |
| a.multiply(b) |
| b.isCase(a) |
| a.div(b) |
| a.leftShift(b) |
| a.mod(b) |
| a.rightShift(b) |
| a.power(b) |
| a.rightShiftUnsigned(b) |
| a.or(b) |
| a.next() |
| a.and(b) |
| a.previous() |
| a.xor(b) |
| a.positive() |
| a.asType(b) |
| a.negative() |
| a.call() |
| a.bitwiseNegate() |
This chapter covers the program structure of the Groovy programming language.
Package names play exactly the same role as in Java. They allow us to separate the code base without any conflicts. Groovy classes must specify their package before the class definition, else the default package is assumed.
Defining a package is very similar to Java:
// defining a package named com.yoursitepackage com.yoursite
To refer to some classFoo
in thecom.yoursite.com
package you will need to use the fully qualified namecom.yoursite.com.Foo
, or else you can use animport
statement as we’ll see below.
In order to refer to any class you need a qualified reference to its package. Groovy follows Java’s notion of allowingimport
statement to resolve class references.
For example, Groovy provides several builder classes, such asMarkupBuilder
.MarkupBuilder
is inside the packagegroovy.xml
so in order to use this class, you need toimport
it as shown:
// importing the class MarkupBuilderimport groovy.xml.MarkupBuilder// using the imported class to create an objectdef xml = new MarkupBuilder()assert xml != null
Default imports are the imports that Groovy language provides by default. For example look at the following code:
new Date()
The same code in Java needs an import statement toDate
class like this: import java.util.Date. Groovy by default imports these classes for you.
The below imports are added by groovy for you:
import java.lang.*import java.util.*import java.io.*import java.net.*import groovy.lang.*import groovy.util.*import java.math.BigIntegerimport java.math.BigDecimal
This is done because the classes from these packages are most commonly used. By importing these boilerplate code is reduced.
A simple import is an import statement where you fully define the class name along with the package. For example the import statement import groovy.xml.MarkupBuilder in the code below is a simple import which directly refers to a class inside a package.
// importing the class MarkupBuilderimport groovy.xml.MarkupBuilder// using the imported class to create an objectdef xml = new MarkupBuilder()assert xml != null
Groovy, like Java, provides a special way to import all classes from a package using*
, the so-called star import.MarkupBuilder
is a class which is in packagegroovy.xml
, alongside another class calledStreamingMarkupBuilder
. In case you need to use both classes, you can do:
import groovy.xml.MarkupBuilderimport groovy.xml.StreamingMarkupBuilderdef markupBuilder = new MarkupBuilder()assert markupBuilder != nullassert new StreamingMarkupBuilder() != null
That’s perfectly valid code. But with a*
import, we can achieve the same effect with just one line. The star imports all the classes under packagegroovy.xml
:
import groovy.xml.*def markupBuilder = new MarkupBuilder()assert markupBuilder != nullassert new StreamingMarkupBuilder() != null
One problem with*
imports is that they can clutter your local namespace. But with the kinds of aliasing provided by Groovy, this can be solved easily.
Groovy’s static import capability allows you to reference imported classes as if they were static methods in your own class:
import static Boolean.FALSEassert !FALSE //use directly, without Boolean prefix!
This is similar to Java’s static import capability but is a more dynamic than Java in that it allows you to define methods with the same name as an imported method as long as you have different types:
import static java.lang.String.format(1)class SomeClass { String format(Integer i) {(2) i.toString() } static void main(String[] args) { assert format('String') == 'String'(3) assert new SomeClass().format(Integer.valueOf(1)) == '1' }}
1 | static import of method |
2 | declaration of method with same name as method statically imported above, but with a different parameter type |
3 | compile error in java, but is valid groovy code |
If you have the same types, the imported class takes precedence.
Static imports with theas
keyword provide an elegant solution to namespace problems. Suppose you want to get aCalendar
instance, using itsgetInstance()
method. It’s a static method, so we can use a static import. But instead of callinggetInstance()
every time, which can be misleading when separated from its class name, we can import it with an alias, to increase code readability:
import static Calendar.getInstance as nowassert now().class == Calendar.getInstance().class
Now, that’s clean!
A static star import is very similar to the regular star import. It will import all the static methods from the given class.
For example, lets say we need to calculate sines and cosines for our application.The classjava.lang.Math
has static methods namedsin
andcos
which fit our need. With the help of a static star import, we can do:
import static java.lang.Math.*assert sin(0) == 0.0assert cos(0) == 1.0
As you can see, we were able to access the methodssin
andcos
directly, without theMath.
prefix.
With type aliasing, we can refer to a fully qualified class name using a name of our choice. This can be done with theas
keyword, as before.
For example we can importjava.sql.Date
asSQLDate
and use it in the same file asjava.util.Date
without having to use the fully qualified name of either class:
import java.util.Dateimport java.sql.Date as SQLDateDate utilDate = new Date(1000L)SQLDate sqlDate = new SQLDate(1000L)assert utilDate instanceof java.util.Dateassert sqlDate instanceof java.sql.Date
Groovy supports both scripts and classes. Take the following code for example:
class Main {(1) static void main(String... args) {(2) println 'Groovy world!'(3) }}
1 | define aMain class, the name is arbitrary |
2 | thepublic static void main(String[]) method is usable as the main method of the class |
3 | the main body of the method |
This is typical code that you would find coming from Java, where codehas to be embedded into a class to be executable.Groovy makes it easier, the following code is equivalent:
println 'Groovy world!'
A script can be considered as a class without needing to declare it, with some differences.
Agroovy.lang.Script is always compiled into a class. The Groovy compiler will compile the class for you,with the body of the script copied into arun
method. The previous example is therefore compiled as if it was thefollowing:
import org.codehaus.groovy.runtime.InvokerHelperclass Main extends Script {(1) def run() {(2) println 'Groovy world!'(3) } static void main(String[] args) {(4) InvokerHelper.runScript(Main, args)(5) }}
1 | TheMain class extends thegroovy.lang.Script class |
2 | groovy.lang.Script requires arun method returning a value |
3 | the script body goes into therun method |
4 | themain method is automatically generated |
5 | and delegates the execution of the script on therun method |
If the script is in a file, then the base name of the file is used to determine the name of the generated script class.In this example, if the name of the file isMain.groovy
, then the script class is going to beMain
.
It is possible to define methods into a script, as illustrated here:
int fib(int n) { n < 2 ? 1 : fib(n-1) + fib(n-2)}assert fib(10)==89
You can also mix methods and code. The generated script class will carry all methods into the script class, andassemble all script bodies into therun
method:
println 'Hello'(1)int power(int n) { 2**n }(2)println "2^6==${power(6)}"(3)
1 | script begins |
2 | a method is defined within the script body |
3 | and script continues |
This code is internally converted into:
import org.codehaus.groovy.runtime.InvokerHelperclass Main extends Script { int power(int n) { 2** n}(1) def run() { println 'Hello'(2) println "2^6==${power(6)}"(3) } static void main(String[] args) { InvokerHelper.runScript(Main, args) }}
1 | thepower method is copied as is into the generated script class |
2 | first statement is copied into therun method |
3 | second statement is copied into therun method |
Even if Groovy creates a class from your script, it is totally transparent for the user. In particular, scriptsare compiled to bytecode, and line numbers are preserved. This implies that if an exception is thrown in a script,the stack trace will show line numbers corresponding to the original script, not the generated code that we have shown. |
Variables in a script do not require a type definition. This means that this script:
int x = 1int y = 2assert x+y == 3
will behave the same as:
x = 1y = 2assert x+y == 3
However, there is a semantic difference between the two:
if the variable is declared as in the first example, it is alocal variable. It will be declared in therun
method that the compiler will generate and willnot be visible outside of the script main body. In particular, sucha variable willnot be visible in other methods of the script
if the variable is undeclared, it goes into thegroovy.lang.Script#getBinding(). The binding isvisible from the methods, and is especially important if you use a script to interact with an application and need toshare data between the script and the application. Readers might refer to theintegration guide for more information.
Another approach to making a variable visible to all methods, is to use the@Field annotation.A variable annotated this way will become a field of the generated script class and,as for local variables, access won’t involve the scriptBinding .While not recommended, if you have a local variable or script field with the same name as a binding variable,you can usebinding.varName to access the binding variable. |
This chapter covers the object-oriented aspects of the Groovy programming language.
Groovy supports the same primitive types as defined by theJava Language Specification:
integral types:byte
(8 bit),short
(16 bit),int
(32 bit) andlong
(64 bit)
floating-point types:float
(32 bit) anddouble
(64 bit)
theboolean
type (one oftrue
orfalse
)
thechar
type (16 bit, usable as a numeric type, representing a UTF-16 code)
Also like Java, Groovy uses the respective wrapper classes when objects corresponding to anyof the primitive types are required:
Primitive type | Wrapper class |
---|---|
boolean | Boolean |
char | Character |
short | Short |
int | Integer |
long | Long |
float | Float |
double | Double |
Automatic boxing and unboxing occur when, for instance, calling a method requiringthe wrapper class and passing it a primitive variable as the parameter, or vice-versa.This is similar to Java but Groovy takes the idea further.
In most scenarios, you can treat a primitive just like it was the full object wrapper equivalent.For instance, you can call.toString()
or.equals(other)
on a primitive.Groovy autowraps and unwraps between references and primitives as needed.
Here’s an example usingint
which is declared as a static field in a class (discussed shortly):
class Foo { static int i}assert Foo.class.getDeclaredField('i').type == int.class(1)assert Foo.i.class != int.class && Foo.i.class == Integer.class(2)
1 | Primitive type is respected in the bytecode |
2 | Looking at the field at runtime shows it has been autowrapped |
Now you may be concerned that this means every time you use a mathematical operator on a reference to a primitivethat you’ll incur the cost of unboxing and reboxing the primitive. But this is not the case, as Groovy will compileyour operators into theirmethod equivalents and uses those instead.Additionally, Groovy will automatically unbox to a primitive when calling a Java method that takes a primitiveparameter and automatically box primitive method return values from Java. However, be aware there are somedifferences from Java’s method resolution.
Apart from primitives, everything else is an object and has an associated class defining its type.We’ll discuss classes, and class-related or class-like things like interfaces, traits and records shortly.
We might declare two variables, of type String and List, as follows:
String movie = 'The Matrix'List actors = ['Keanu Reeves', 'Hugo Weaving']
Groovy carries across the same concepts with regard to generics as Java.When defining classes and methods, it is possible to use a type parameter and createa generic class, interface, method or constructor.
Usage of generic classes and methods, regardless of whether they are defined in Javaor Groovy, may involve supplying a type argument.
We might declare a variable, of type"list of string", as follows:
List<String> roles = ['Trinity', 'Morpheus']
Java employs type erasure for backwards compatibility with earlier versions of Java.Dynamic Groovy can be thought of as more aggressively applying type erasure.In general, less generics type information will be checked at compile time.Groovy’s static nature employs similar checks to Java with regard to generics information.
Groovy classes are very similar to Java classes, and are compatible with Java ones at JVM level.They may have methods, fields and properties (think JavaBeans properties but with less boilerplate).Classes and class members can have the same modifiers (public, protected, private, static, etc.) as in Javawith some minor differences at the source level which are explained shortly.
The key differences between Groovy classes and their Java counterparts are:
Classes or methods with no visibility modifier are automatically public (a special annotation can be used to achieve package private visibility).
Fields with no visibility modifier are turned into properties automatically, which results in less verbose code,since explicit getter and setter methods aren’t needed. More on this aspect will be covered in thefields and properties section.
Classes do not need to have the same base name as their source file definitions but it is highly recommended in most scenarios (see also the next point about scripts).
One source file may contain one or more classes (but if a file contains any code not in a class, it is considered a script). Scripts are just classes with somespecial conventions and will have the same name as their source file (so don’t include a class definition within a script having the same name as the script source file).
The following code presents an example class.
class Person {(1) String name(2) Integer age def increaseAge(Integer years) {(3) this.age += years }}
1 | class beginning, with the namePerson |
2 | string field and property namedname |
3 | method definition |
Normal classes refer to classes which are top level and concrete. This means they can be instantiated without restrictions from any other classes or scripts. This way, they can only be public (even though thepublic
keyword may be suppressed). Classes are instantiated by calling their constructors, using thenew
keyword, as in the following snippet.
def p = new Person()
Inner classes are defined within another classes. The enclosing class can use the inner class as usual. On the other side, an inner class can access members of its enclosing class, even if they are private. Classes other than the enclosing class are not allowed to access inner classes. Here is an example:
class Outer { private String privateStr def callInnerMethod() { new Inner().methodA()(1) } class Inner {(2) def methodA() { println "${privateStr}."(3) } }}
1 | the inner class is instantiated and its method gets called |
2 | inner class definition, inside its enclosing class |
3 | even being private, a field of the enclosing class is accessed by the inner class |
There are some reasons for using inner classes:
They increase encapsulation by hiding the inner class from other classes, which do not need to know about it. This also leads to cleaner packages and workspaces.
They provide a good organization, by grouping classes that are used by only one class.
They lead to more maintainable codes, since inner classes are near the classes that use them.
It is common for an inner class to be an implementation of some interface whose method(s) are needed by the outer class.The code below illustrates this typical usage pattern, here being used with threads.
class Outer2 { private String privateStr = 'some string' def startThread() { new Thread(new Inner2()).start() } class Inner2 implements Runnable { void run() { println "${privateStr}." } }}
Note that the classInner2
is defined only to provide an implementation of the methodrun
to classOuter2
.Anonymous inner classes help to eliminate verbosity in this case.That topic is covered shortly.
Groovy 3+ also supports Java syntax for non-static inner class instantiation, for example:
class Computer { class Cpu { int coreNumber Cpu(int coreNumber) { this.coreNumber = coreNumber } }}assert 4 == new Computer().new Cpu(4).coreNumber
The earlier example of an inner class (Inner2
) can be simplified with an anonymous inner class.The same functionality can be achieved with the following code:
class Outer3 { private String privateStr = 'some string' def startThread() { new Thread(new Runnable() {(1) void run() { println "${privateStr}." } }).start()(2) }}
1 | comparing with the last example of previous section, thenew Inner2() was replaced bynew Runnable() along with all its implementation |
2 | the methodstart is invoked normally |
Thus, there was no need to define a new class to be used just once.
Abstract classes represent generic concepts, thus, they cannot be instantiated, being created to be subclassed.Their members include fields/properties and abstract or concrete methods.Abstract methods do not have implementation, and must be implemented by concrete subclasses.
abstract class Abstract {(1) String name abstract def abstractMethod()(2) def concreteMethod() { println 'concrete' }}
1 | abstract classes must be declared withabstract keyword |
2 | abstract methods must also be declared withabstract keyword |
Abstract classes are commonly compared to interfaces.There are at least two important differences of choosing one or another.First, while abstract classes may contain fields/properties and concrete methods, interfaces may contain only abstract methods (method signatures).Moreover, one class can implement several interfaces, whereas it can extend just one class, abstract or not.
Inheritance in Groovy resembles inheritance in Java.It provides a mechanism for a child class (or subclass) to reusecode or properties from a parent (or super class).Classes related through inheritance form an inheritance hierarchy.Common behavior and members are pushed up the hierarchy to reduce duplication.Specializations occur in child classes.
Different forms of inheritance are supported:
implementation inheritance where code (methods, fields or properties) from asuperclass or fromone or moretraits is reused by a child class
contract inheritance where a class promises to provide particular abstract methods defined in asuperclass,or defined in one or moretraits orinterfaces.
Parent classes share visible fields, properties or methods with child classes.A child class may have at most one parent class.Theextends
keyword is used immediately prior to giving the superclass type.
An interface defines a contract that a class needs to conform to.An interface only defines a list of methods that needto be implemented, but does not define the method’s implementation.
interface Greeter {(1) void greet(String name)(2)}
1 | an interface needs to be declared using theinterface keyword |
2 | an interface only defines method signatures |
Methods of an interface are alwayspublic. It is an error to useprotected
orprivate
methods in interfaces:
interface Greeter { protected void greet(String name)(1)}
1 | Usingprotected is a compile-time error |
A classimplements an interface if it defines the interface in itsimplements
list or if any of its superclassesdoes:
class SystemGreeter implements Greeter {(1) void greet(String name) {(2) println "Hello $name" }}def greeter = new SystemGreeter()assert greeter instanceof Greeter(3)
1 | TheSystemGreeter declares theGreeter interface using theimplements keyword |
2 | Then implements the requiredgreet method |
3 | Any instance ofSystemGreeter is also an instance of theGreeter interface |
An interface can extend another interface:
interface ExtendedGreeter extends Greeter {(1) void sayBye(String name)}
1 | theExtendedGreeter interface extends theGreeter interface using theextends keyword |
It is worth noting that for a class to be an instance of an interface, it has to be explicit. For example, the followingclass defines thegreet
method as it is declared in theGreeter
interface, but does not declareGreeter
in itsinterfaces:
class DefaultGreeter { void greet(String name) { println "Hello" }}greeter = new DefaultGreeter()assert !(greeter instanceof Greeter)
In other words, Groovy does not define structural typing. It is however possible to make an instance of an objectimplement an interface at runtime, using theas
coercion operator:
greeter = new DefaultGreeter()(1)coerced = greeter as Greeter(2)assert coerced instanceof Greeter(3)
1 | create an instance ofDefaultGreeter that does not implement the interface |
2 | coerce the instance into aGreeter at runtime |
3 | the coerced instance implements theGreeter interface |
You can see that there are two distinct objects: one is the source object, aDefaultGreeter
instance, which does notimplement the interface. The other is an instance ofGreeter
that delegates to the coerced object.
Groovy interfaces do not support default implementation like Java 8 interfaces. If you are looking for somethingsimilar (but not equal),traits are close to interfaces, but allow default implementation as well as otherimportant features described in this manual. |
Constructors are special methods used to initialize an object with a specific state. As with normal methods,it is possible for a class to declare more than one constructor, so long as each constructor has a uniquetype signature. If an object doesn’t require any parameters during construction, it may use ano-arg constructor.If no constructors are supplied, an empty no-arg constructor will be provided by the Groovy compiler.
Groovy supports two invocation styles:
positional parameters are used in a similar to how you would use Java constructors
named parameters allow you to specify parameter names when invoking the constructor.
To create an object by using positional parameters, the respective class needs to declare one or moreconstructors. In the case of multiple constructors, each must have a unique type signature. The constructors can alsobe added to the class using thegroovy.transform.TupleConstructor annotation.
Typically, once at least one constructor is declared, the class can only be instantiated by having one of itsconstructors called. It is worth noting that, in this case, you can’t normally create the class with named parameters.Groovy does support named parameters so long as the class contains a no-arg constructor or provides a constructor whichtakes aMap
argument as the first (and potentially only) argument - see the next section for details.
There are three forms of using a declared constructor. The first one is the normal Java way, with thenew
keyword.The others rely on coercion of lists into the desired types. In this case, it is possible to coerce with theas
keyword and by statically typing the variable.
class PersonConstructor { String name Integer age PersonConstructor(name, age) {(1) this.name = name this.age = age }}def person1 = new PersonConstructor('Marie', 1)(2)def person2 = ['Marie', 2] as PersonConstructor(3)PersonConstructor person3 = ['Marie', 3](4)
1 | Constructor declaration |
2 | Constructor invocation, classic Java way |
3 | Constructor usage, using coercion withas keyword |
4 | Constructor usage, using coercion in assignment |
If no (or a no-arg) constructor is declared, it is possible to create objects by passing parameters in the form of amap (property/value pairs). This can be in handy in cases where one wants to allow several combinations of parameters.Otherwise, by using traditional positional parameters it would be necessary to declare all possible constructors.Having a constructor where the first (and perhaps only) argument is aMap
argument is also supported - such aconstructor may also be added using thegroovy.transform.MapConstructor annotation.
class PersonWOConstructor {(1) String name Integer age}def person4 = new PersonWOConstructor()(2)def person5 = new PersonWOConstructor(name: 'Marie')(3)def person6 = new PersonWOConstructor(age: 1)(4)def person7 = new PersonWOConstructor(name: 'Marie', age: 2)(5)
1 | No constructor declared |
2 | No parameters given in the instantiation |
3 | name parameter given in the instantiation |
4 | age parameter given in the instantiation |
5 | name andage parameters given in the instantiation |
It is important to highlight, however, that this approach gives more power to the constructor caller,while imposing an increased responsibility on the caller to get the names and value types correct.Thus, if greater control is desired, declaring constructors using positional parameters might be preferred.
Notes:
While the example above supplied no constructor, you can also supply a no-arg constructoror a constructor where the first argument is aMap
, most typically it’s the only argument.
When no (or a no-arg) constructor is declared, Groovy replaces the named constructor call by a callto the no-arg constructor followed by calls to the setter for each supplied named property.
When the first argument is a Map, Groovy combines all named parameters into a Map (regardless of ordering)and supplies the map as the first parameter. This can be a good approach if your properties are declared asfinal
(since they will be set in the constructor rather than after the fact with setters).
You can support both named and positional constructionby supply both positional constructors as well as a no-arg or Map constructor.
You can support hybrid construction by having a constructor where the first argumentis a Map but there are also additional positional parameters. Use this style with caution.
Groovy methods are quite similar to other languages. Some peculiarities will be shown in the next subsections.
A method is defined with a return type or with thedef
keyword, to make the return type untyped. A method can also receive any number of arguments, which may not have their types explicitly declared. Java modifiers can be used normally, and if no visibility modifier is provided, the method is public.
Methods in Groovy always return some value. If noreturn
statement is provided, the value evaluated in the last line executed will be returned. For instance, note that none of the following methods uses thereturn
keyword.
def someMethod() { 'method called' }(1)String anotherMethod() { 'another method called' }(2)def thirdMethod(param1) { "$param1 passed" }(3)static String fourthMethod(String param1) { "$param1 passed" }(4)
1 | Method with no return type declared and no parameter |
2 | Method with explicit return type and no parameter |
3 | Method with a parameter with no type defined |
4 | Static method with a String parameter |
Like constructors, normal methods can also be called with named parameters.To support this notation, a convention is used where the first argument to the method is aMap
.In the method body, the parameter values can be accessed as in normal maps (map.key
).If the method has just a single Map argument, all supplied parameters must be named.
def foo(Map args) { "${args.name}: ${args.age}" }foo(name: 'Marie', age: 1)
Named parameters can be mixed with positional parameters.The same convention applies, in this case, in addition to theMap
argument as the first argument,the method in question will have additional positional arguments as needed.Supplied positional parameters when calling the method must be in order.The named parameters can be in any position. They are grouped into the map and supplied asthe first parameter automatically.
def foo(Map args, Integer number) { "${args.name}: ${args.age}, and the number is ${number}" }foo(name: 'Marie', age: 1, 23)(1)foo(23, name: 'Marie', age: 1)(2)
1 | Method call with additionalnumber argument ofInteger type |
2 | Method call with changed order of arguments |
If we don’t have the Map as the first argument, then a Map must be supplied for that argument instead of named parameters.Failure to do so will lead togroovy.lang.MissingMethodException
:
def foo(Integer number, Map args) { "${args.name}: ${args.age}, and the number is ${number}" }foo(name: 'Marie', age: 1, 23)(1)
1 | Method call throwsgroovy.lang.MissingMethodException: No signature of method: foo() is applicable for argument types: (LinkedHashMap, Integer) values: [[name:Marie, age:1], 23] , because the named argumentMap parameter is not defined as the first argument |
Above exception can be avoided if we replace named arguments with an explicitMap
argument:
def foo(Integer number, Map args) { "${args.name}: ${args.age}, and the number is ${number}" }foo(23, [name: 'Marie', age: 1])(1)
1 | ExplicitMap argument in place of named arguments makes invocation valid |
Although Groovy allows you to mix named and positional parameters, it can lead to unnecessary confusion.Mix named and positional arguments with caution. |
Default arguments make parameters optional.If the argument is not supplied, the method assumes a default value.
def foo(String par1, Integer par2 = 1) { [name: par1, age: par2] }assert foo('Marie').age == 1
Parameters are dropped from the right, however mandatory parameters are never dropped.
def baz(a = 'a', int b, c = 'c', boolean d, e = 'e') { "$a $b $c $d $e" }assert baz(42, true) == 'a 42 c true e'assert baz('A', 42, true) == 'A 42 c true e'assert baz('A', 42, 'C', true) == 'A 42 C true e'assert baz('A', 42, 'C', true, 'E') == 'A 42 C true E'
The same rule applies to constructors as well as methods.If using@TupleConstructor
, additional configuration options apply.
Groovy supports methods with a variable number of arguments. They are defined like this:def foo(p1, …, pn, T… args)
.Herefoo
supportsn
arguments by default, but also an unspecified number of further arguments exceedingn
.
def foo(Object... args) { args.length }assert foo() == 0assert foo(1) == 1assert foo(1, 2) == 2
This example defines a methodfoo
, that can take any number of arguments, including no arguments at all.args.length
will return the number of arguments given. Groovy allowsT[]
as an alternative notation toT…
.That means any method with an array as last parameter is seen by Groovy as a method that can take a variable number of arguments.
def foo(Object[] args) { args.length }assert foo() == 0assert foo(1) == 1assert foo(1, 2) == 2
If a method with varargs is called withnull
as the vararg parameter, then the argument will benull
and not an array of length one withnull
as the only element.
def foo(Object... args) { args }assert foo(null) == null
If a varargs method is called with an array as an argument, then the argument will be that array instead of an array of length one containing the given array as the only element.
def foo(Object... args) { args }Integer[] ints = [1, 2]assert foo(ints) == [1, 2]
Another important point are varargs in combination with method overloading. In case of method overloading Groovy will select the most specific method.For example if a methodfoo
takes a varargs argument of typeT
and another methodfoo
also takes one argument of typeT
, the second method is preferred.
def foo(Object... args) { 1 }def foo(Object x) { 2 }assert foo() == 1assert foo(1) == 2assert foo(1, 2) == 1
Dynamic Groovy supportsmultiple dispatch (aka multimethods).When calling a method, the actual method invoked is determineddynamically based on the run-time type of methods arguments.First the method name and number of arguments will be considered (including allowance for varargs),and then the type of each argument.Consider the following method definitions:
def method(Object o1, Object o2) { 'o/o' }def method(Integer i, String s) { 'i/s' }def method(String s, Integer i) { 's/i' }
Perhaps as expected, callingmethod
withString
andInteger
parameters,invokes our third method definition.
assert method('foo', 42) == 's/i'
Of more interest here is when the types are not known at compile time.Perhaps the arguments are declared to be of typeObject
(a list of such objects in our case).Java would determine that themethod(Object, Object)
variant would be selected in allcases (unless casts were used) but as can be seen in the following example, Groovy uses the runtime typeand will invoke each of our methods once (and normally, no casting is needed):
List<List<Object>> pairs = [['foo', 1], [2, 'bar'], [3, 4]]assert pairs.collect { a, b -> method(a, b) } == ['s/i', 'i/s', 'o/o']
For each of the first two of our three method invocations an exact match of argument types was found.For the third invocation, an exact match ofmethod(Integer, Integer)
wasn’t found butmethod(Object, Object)
is still valid and will be selected.
Method selection then is about finding theclosest fit from valid method candidates which have compatibleparameter types.So,method(Object, Object)
is also valid for the first two invocations but is not as close a matchas the variants where types exactly match.To determine the closest fit, the runtime has a notion of thedistance an actual argumenttype is away from the declared parameter type and tries to minimise the total distance across all parameters.
The following table illustrates some factors which affect the distance calculation.
Aspect | Example |
---|---|
Directly implemented interfaces match more closely than ones from further up the inheritance hierarchy. | Given these interface and method definitions:
The directly implemented interface will match:
|
An Object array is preferred over an Object. |
|
Non-vararg variants are favored over vararg variants. |
|
If two vararg variants are applicable, the one which uses the minimum number of vararg arguments is preferred. |
|
Interfaces are preferred over super classes. |
|
For a primitive argument type, a declared parameter type which is the same or slightly larger is preferred. |
|
In the case where two variants have exactly the same distance, this is deemed ambiguous and will cause a runtime exception:
def method(Date d, Object o) { 'd/o' }def method(Object o, String s) { 'o/s' }def ex = shouldFail { println method(new Date(), 'baz')}assert ex.message.contains('Ambiguous method overloading')
Casting can be used to select the desired method:
assert method(new Date(), (Object)'baz') == 'd/o'assert method((Object)new Date(), 'baz') == 'o/s'
Groovy automatically allows you to treat checked exceptions like unchecked exceptions.This means that you don’t need to declare any checked exceptions that a method may throwas shown in the following example which can throw aFileNotFoundException
if the file isn’t found:
def badRead() { new File('doesNotExist.txt').text}shouldFail(FileNotFoundException) { badRead()}
Nor will you be required to surround the call to thebadRead
method in the previous example within a try/catchblock - though you are free to do so if you wish.
If you wish to declare any exceptions that your code might throw (checked or otherwise) you are free to do so.Adding exceptions won’t change how the code is used from any other Groovy code but can be seen as documentationfor the human reader of your code. The exceptions will become part of the method declaration in the bytecode,so if your code might be called from Java, it might be useful to include them.Using an explicit checked exception declaration is illustrated in the following example:
def badRead() throws FileNotFoundException { new File('doesNotExist.txt').text}shouldFail(FileNotFoundException) { badRead()}
A field is a member of a class, interface or trait which stores data.A field defined in a Groovy source file has:
a mandatoryaccess modifier (public
,protected
, orprivate
)
one or more optionalmodifiers (static
,final
,synchronized
)
an optionaltype
a mandatoryname
class Data { private int id(1) protected String description(2) public static final boolean DEBUG = false(3)}
1 | aprivate field namedid , of typeint |
2 | aprotected field nameddescription , of typeString |
3 | apublic static final field namedDEBUG of typeboolean |
A field may be initialized directly at declaration:
class Data { private String id = IDGenerator.next()(1) // ...}
1 | the private fieldid is initialized withIDGenerator.next() |
It is possible to omit the type declaration of a field. This is however considered a bad practice and in general itis a good idea to use strong typing for fields:
class BadPractice { private mapping(1)}class GoodPractice { private Map<String,String> mapping(2)}
1 | the fieldmapping doesn’t declare a type |
2 | the fieldmapping has a strong type |
The difference between the two is important if you want to use optional type checking later.It is also important as a way to document the class design.However, in some cases like scripting or if you want to rely on duck typing it may be usefulto omit the type.
A property is an externally visible feature of a class. Rather than just using a public field to representsuch features (which provides a more limited abstraction and would restrict refactoring possibilities),the typical approach in Java is to follow the conventions outlined in theJavaBeans Specification, i.e. represent the property using acombination of a private backing field and getters/setters. Groovy follows these same conventionsbut provides a simpler way to define the property. You can define a property with:
anabsent access modifier (nopublic
,protected
orprivate
)
one or more optionalmodifiers (static
,final
,synchronized
)
an optionaltype
a mandatoryname
Groovy will then generate the getters/setters appropriately. For example:
class Person { String name(1) int age(2)}
1 | creates a backingprivate String name field, agetName and asetName method |
2 | creates a backingprivate int age field, agetAge and asetAge method |
If a property is declaredfinal
, no setter is generated:
class Person { final String name(1) final int age(2) Person(String name, int age) { this.name = name(3) this.age = age(4) }}
1 | defines a read-only property of typeString |
2 | defines a read-only property of typeint |
3 | assigns thename parameter to thename field |
4 | assigns theage parameter to theage field |
Properties are accessed by name and will call the getter or setter transparently, unless the code is in the classwhich defines the property:
class Person { String name void name(String name) { this.name = "Wonder $name"(1) } String title() { this.name(2) }}def p = new Person()p.name = 'Diana'(3)assert p.name == 'Diana'(4)p.name('Woman')(5)assert p.title() == 'Wonder Woman'(6)
1 | this.name will directly access the field because the property is accessed from within the class that defines it |
2 | similarly a read access is done directly on thename field |
3 | write access to the property is done outside of thePerson class so it will implicitly callsetName |
4 | read access to the property is done outside of thePerson class so it will implicitly callgetName |
5 | this will call thename method onPerson which performs a direct access to the field |
6 | this will call thetitle method onPerson which performs a direct read access to the field |
It is worth noting that this behavior of accessing the backing field directly is done in order to prevent a stackoverflow when using the property access syntax within a class that defines the property.
It is possible to list the properties of a class thanks to the metaproperties
field of an instance:
class Person { String name int age}def p = new Person()assert p.properties.keySet().containsAll(['name','age'])
By convention, Groovy will recognize properties even if there is no backing fieldprovided there are getters or settersthat follow the Java Beans specification. For example:
class PseudoProperties { // a pseudo property "name" void setName(String name) {} String getName() {} // a pseudo read-only property "age" int getAge() { 42 } // a pseudo write-only property "groovy" void setGroovy(boolean groovy) { }}def p = new PseudoProperties()p.name = 'Foo'(1)assert p.age == 42(2)p.groovy = true(3)
1 | writingp.name is allowed because there is a pseudo-propertyname |
2 | readingp.age is allowed because there is a pseudo-readonly propertyage |
3 | writingp.groovy is allowed because there is a pseudo-write-only propertygroovy |
This syntactic sugar is at the core of many DSLs written in Groovy.
It is generally recommended that the first two letters of a property name arelowercase and for multi-word properties that camel case is used.In those cases, generated getters and setters will have a name formed by capitalizing theproperty name and adding aget
orset
prefix (or optionally "is" for a boolean getter).So,getLength
would be a getter for alength
property andsetFirstName
a setter for afirstName
property.isEmpty
might be the getter method name for a property namedempty
.
Property names starting with a capital letter would have getters/setters with just the prefix added.So, the property |
The JavaBeans specification makes a special case for properties which typically might be acronyms.If the first two letters of a property name are uppercase, no capitalization is performed(or more importantly, no decapitalization is done if generating the property name from the accessor method name).So,getURL
would be the getter for aURL
property.
Because of the special "acronym handling" property naming logic in the JavaBeans specification, theconversion to and from a property name are non-symmetrical. This leads to some strange edge cases.Groovy adopts a naming convention that avoids one ambiguity that might seem a little strange butwas popular at the time of Groovy’s design and has remained (so far) for historical reasons.Groovy looks at the second letter of a property name. If that is a capital, the property is deemed to beone of the acronym style properties and no capitalization is done, otherwise normal capitalization is done.Although wenever recommend it, it does allow you to have what might seem like "duplicate named" properties,e.g. you can have |
We have already seen that properties are defined by omitting the visibility modifier.In general, any other modifiers, e.g.transient
would be copied across to the field.Two special cases are worth noting:
final
, which we saw earlier is for read-only properties, is copied onto the backing field but also causes no setter to be defined
static
is copied onto the backing field but also causes the accessor methods to be static
If you wish to have a modifier likefinal
also carried over to the accessor methods,you can write your properties long hand or consider using asplit property definition.
Annotations, including those associated with AST transforms,are copied on to the backing field for the property.This allows AST transforms which are applicable to fields tobe applied to properties, e.g.:
class Animal { int lowerCount = 0 @Lazy String name = { lower().toUpperCase() }() String lower() { lowerCount++; 'sloth' }}def a = new Animal()assert a.lowerCount == 0(1)assert a.name == 'SLOTH'(2)assert a.lowerCount == 1(3)
1 | Confirms no eager initialization |
2 | Normal property access |
3 | Confirms initialization upon property access |
Groovy’s property syntax is a convenient shorthand when your class designfollows certain conventions which align with common JavaBean practice.If your class doesn’t exactly fit these conventions,you can certainly write the getter, setter and backing field long hand like you would in Java.However, Groovy does provide a split definition capability which still providesa shortened syntax while allowing slight adjustments to the conventions.For a split definition, you write a field and a property with the same name and type.Only one of the field or property may have an initial value.
For split properties, annotations on the field remain on the backing field for the property.Annotations on the property part of the definition are copied onto the getter and setter methods.
This mechanism allows a number of common variations that property users may wishto use if the standard property definition doesn’t exactly fit their needs.For example, if the backing field should beprotected
rather thanprivate
:
class HasPropertyWithProtectedField { protected String name(1) String name(2)}
1 | Protected backing field for name property instead of normal private one |
2 | Declare name property |
Or, the same example but with a package-private backing field:
class HasPropertyWithPackagePrivateField { String name(1) @PackageScope String name(2)}
1 | Declare name property |
2 | Package-private backing field for name property instead of normal private one |
As a final example, we may wish to apply method-related AST transforms,or in general, any annotation to the setters/getters,e.g. to have the accessors be synchronized:
class HasPropertyWithSynchronizedAccessorMethods { private String name(1) @Synchronized String name(2)}
1 | Backing field for name property |
2 | Declare name property with annotation for setter/getter |
The automatic generation of accessor methods doesn’t occur if thereis an explicit definition of the getter or setter in the class.This allows you to modify the normal behavior of such a getter or setter if needed.Inherited accessor methods aren’t normally considered but if an inheritedaccessor method is marked final, that will also cause no generation of anadditional accessor method to honor thefinal
requirement of no subclassing of such methods.
An annotation is a kind of special interface dedicated at annotating elements of the code. An annotation is a type whichsuperinterface is thejava.lang.annotation.Annotation interface. Annotations are declared in a verysimilar way to interfaces, using the@interface
keyword:
@interface SomeAnnotation {}
An annotation may define members in the form of methods without bodies and an optional default value. The possiblemember types are limited to:
primitive types
or any array of the above
For example:
@interface SomeAnnotation { String value()(1)}@interface SomeAnnotation { String value() default 'something'(2)}@interface SomeAnnotation { int step()(3)}@interface SomeAnnotation { Class appliesTo()(4)}@interface SomeAnnotation {}@interface SomeAnnotations { SomeAnnotation[] value()(5)}enum DayOfWeek { mon, tue, wed, thu, fri, sat, sun }@interface Scheduled { DayOfWeek dayOfWeek()(6)}
1 | an annotation defining avalue member of typeString |
2 | an annotation defining avalue member of typeString with a default value ofsomething |
3 | an annotation defining astep member of type the primitive typeint |
4 | an annotation defining aappliesTo member of typeClass |
5 | an annotation defining avalue member which type is an array of another annotation type |
6 | an annotation defining adayOfWeek member which type is the enumeration typeDayOfWeek |
Unlike in the Java language, in Groovy, an annotation can be used to alter the semantics of the language. It is especiallytrue of AST transformations which will generate code based on annotations.
An annotation can be applied on various elements of the code:
@SomeAnnotation(1)void someMethod() { // ...}@SomeAnnotation(2)class SomeClass {}@SomeAnnotation String var(3)
1 | @SomeAnnotation applies to thesomeMethod method |
2 | @SomeAnnotation applies to theSomeClass class |
3 | @SomeAnnotation applies to thevar variable |
In order to limit the scope where an annotation can be applied, it is necessary to declare it on the annotationdefinition, using thejava.lang.annotation.Target annotation. For example, here is how you woulddeclare that an annotation can be applied to a class or a method:
import java.lang.annotation.ElementTypeimport java.lang.annotation.Target@Target([ElementType.METHOD, ElementType.TYPE])(1)@interface SomeAnnotation {}(2)
1 | the@Target annotation is meant to annotate an annotation with a scope. |
2 | @SomeAnnotation will therefore only be allowed onTYPE orMETHOD |
The list of possible targets is available in thejava.lang.annotation.ElementType.
Groovy does not support thejava.lang.annotation.ElementType#TYPE_PARAMETER andjava.lang.annotation.ElementType#TYPE_PARAMETER element types which were introduced in Java 8. |
When an annotation is used, it is required to set at least all members that do not have a default value. For example:
@interface Page { int statusCode()}@Page(statusCode=404)void notFound() { // ...}
However it is possible to omitvalue=
in the declaration of the value of an annotation if the membervalue
is theonly one being set:
@interface Page { String value() int statusCode() default 200}@Page(value='/home')(1)void home() { // ...}@Page('/users')(2)void userList() { // ...}@Page(value='error',statusCode=404)(3)void notFound() { // ...}
1 | we can omit thestatusCode because it has a default value, butvalue needs to be set |
2 | sincevalue is the only mandatory member without a default, we can omitvalue= |
3 | if bothvalue andstatusCode need to be set, it is required to usevalue= for the defaultvalue member |
The visibility of an annotation depends on its retention policy. The retention policy of an annotation is set usingthejava.lang.annotation.Retention annotation:
import java.lang.annotation.Retentionimport java.lang.annotation.RetentionPolicy@Retention(RetentionPolicy.SOURCE)(1)@interface SomeAnnotation {}(2)
1 | the@Retention annotation annotates the@SomeAnnotation annotation |
2 | so@SomeAnnotation will have aSOURCE retention |
The list of possible retention targets and description is available in thejava.lang.annotation.RetentionPolicy enumeration. Thechoice usually depends on whether you want an annotation to be visible atcompile time or runtime.
An interesting feature of annotations in Groovy is that you can use a closure as an annotation value. Thereforeannotations may be used with a wide variety of expressions and still have IDE support. For example, imagine aframework where you want to execute some methods based on environmental constraints like the JDK version or the OS.One could write the following code:
class Tasks { Set result = [] void alwaysExecuted() { result << 1 } @OnlyIf({ jdk>=6 }) void supportedOnlyInJDK6() { result << 'JDK 6' } @OnlyIf({ jdk>=7 && windows }) void requiresJDK7AndWindows() { result << 'JDK 7 Windows' }}
For the@OnlyIf
annotation to accept aClosure
as an argument, you only have to declare thevalue
as aClass
:
@Retention(RetentionPolicy.RUNTIME)@interface OnlyIf { Class value()(1)}
To complete the example, let’s write a sample runner that would use that information:
class Runner { static <T> T run(Class<T> taskClass) { def tasks = taskClass.newInstance()(1) def params = [jdk: 6, windows: false](2) tasks.class.declaredMethods.each { m ->(3) if (Modifier.isPublic(m.modifiers) && m.parameterTypes.length == 0) {(4) def onlyIf = m.getAnnotation(OnlyIf)(5) if (onlyIf) { Closure cl = onlyIf.value().newInstance(tasks,tasks)(6) cl.delegate = params(7) if (cl()) {(8) m.invoke(tasks)(9) } } else { m.invoke(tasks)(10) } } } tasks(11) }}
1 | create a new instance of the class passed as an argument (the task class) |
2 | emulate an environment which is JDK 6 and not Windows |
3 | iterate on all declared methods of the task class |
4 | if the method is public and takes no-argument |
5 | try to find the@OnlyIf annotation |
6 | if it is found get thevalue and create a newClosure out of it |
7 | set thedelegate of the closure to our environment variable |
8 | call the closure, which is the annotation closure. It will return aboolean |
9 | if it istrue , call the method |
10 | if the method is not annotated with@OnlyIf , execute the method anyway |
11 | after that, return the task object |
Then the runner can be used this way:
def tasks = Runner.run(Tasks)assert tasks.result == [1, 'JDK 6'] as Set
Meta-annotations, also known as annotation aliases are annotations thatare replaced at compile time by other annotations (one meta-annotationis an alias for one or more annotations). Meta-annotations can be used toreduce the size of code involving multiple annotations.
Let’s start with a simple example. Imagine you have the @Service
and @Transactional
annotations and that you want to annotate a classwith both:
@Service@Transactionalclass MyTransactionalService {}
Given the multiplication of annotations that you could add to the same class, a meta-annotationcould help by reducing the two annotations with a single one having the very same semantics. For example,we might want to write this instead:
@TransactionalService(1)class MyTransactionalService {}
1 | @TransactionalService is a meta-annotation |
A meta-annotation is declared as a regular annotation but annotated with@AnnotationCollector
and thelist of annotations it is collecting. In our case, the@TransactionalService
annotation can be written:
import groovy.transform.AnnotationCollector@Service(1)@Transactional(2)@AnnotationCollector(3)@interface TransactionalService {}
1 | annotate the meta-annotation with@Service |
2 | annotate the meta-annotation with@Transactional |
3 | annotate the meta-annotation with@AnnotationCollector |
Groovy supports bothprecompiled andsource formmeta-annotations. This means that your meta-annotation may beprecompiled, or you can have it in the same source tree as the one youare currently compiling.
INFO: Meta-annotations are a Groovy-only feature. There isno chance for you to annotate a Java class with a meta-annotation andhope it will do the same as in Groovy. Likewise, you cannot write ameta-annotation in Java: both the meta-annotation definition and usagehave to be Groovy code. But you can happily collect Java annotationsand Groovy annotations within your meta-annotation.
When the Groovy compiler encounters a class annotated with ameta-annotation, it replaces it with the collected annotations. So,in our previous example, it willreplace @TransactionalService
with @Transactional
and @Service
:
def annotations = MyTransactionalService.annotations*.annotationType()assert (Service in annotations)assert (Transactional in annotations)
The conversion from a meta-annotation to the collected annotations is performed during thesemantic analysis compilation phase.
In addition to replacing the alias with the collected annotations, a meta-annotation is capable ofprocessing them, including arguments.
Meta-annotations can collect annotations which have parameters. To illustrate this,we will imagine two annotations, each of them accepting one argument:
@Timeout(after=3600)@Dangerous(type='explosive')
And suppose that you want to create a meta-annotation named @Explosive
:
@Timeout(after=3600)@Dangerous(type='explosive')@AnnotationCollectorpublic @interface Explosive {}
By default, when the annotations are replaced, they will get theannotation parameter valuesas they were defined in the alias. More interesting,the meta-annotation supports overriding specific values:
@Explosive(after=0)(1)class Bomb {}
1 | theafter value provided as a parameter to @Explosive overrides the one defined in the@Timeout annotation |
If two annotations define the same parameter name, the default processorwill copy the annotation value to all annotations that accept this parameter:
@Retention(RetentionPolicy.RUNTIME)public @interface Foo { String value()(1)}@Retention(RetentionPolicy.RUNTIME)public @interface Bar { String value()(2)}@Foo@Bar@AnnotationCollectorpublic @interface FooBar {}(3)@Foo('a')@Bar('b')class Bob {}(4)assert Bob.getAnnotation(Foo).value() == 'a'(5)println Bob.getAnnotation(Bar).value() == 'b'(6)@FooBar('a')class Joe {}(7)assert Joe.getAnnotation(Foo).value() == 'a'(8)println Joe.getAnnotation(Bar).value() == 'a'(9)
1 | the@Foo annotation defines thevalue member of typeString |
2 | the@Bar annotation also defines thevalue member of typeString |
3 | the@FooBar meta-annotation aggregates@Foo and@Bar |
4 | classBob is annotated with@Foo and@Bar |
5 | the value of the@Foo annotation onBob isa |
6 | while the value of the@Bar annotation onBob isb |
7 | classJoe is annotated with@FooBar |
8 | then the value of the@Foo annotation onJoe isa |
9 | and the value of the@Bar annotation onJoe is alsoa |
In the second case, the meta-annotation value was copied inboth@Foo
and@Bar
annotations.
It is a compile time error if the collected annotations define the same memberswith incompatible types. For example if on the previous example@Foo defined a value oftypeString but@Bar defined a value of typeint . |
It is however possible to customize the behavior of meta-annotations and describe how collectedannotations are expanded. We’ll look at how to do that shortly but first there is an advancedprocessing option to cover.
The@AnnotationCollector
annotation supports amode
parameter which can be used toalter how the default processor handles annotation replacement in the presence ofduplicate annotations.
INFO: Custom processors (discussed next) may or may not support this parameter.
As an example, suppose you create a meta-annotation containing the@ToString
annotationand then place your meta-annotation on a class that already has an explicit@ToString
annotation. Should this be an error? Should both annotations be applied? Does one takepriority over the other? There is no correct answer. In some scenarios it might bequite appropriate for any of these answers to be correct. So, rather than trying topreempt one correct way to handle the duplicate annotation issue, Groovy lets youwrite your own custom meta-annotation processors (covered next) and lets you writewhatever checking logic you like within AST transforms - which are a frequent target foraggregating. Having said that, by simply setting themode
, a number of commonlyexpected scenarios are handled automatically for you within any extra coding.The behavior of themode
parameter is determined by theAnnotationCollectorMode
enum value chosen and is summarized in the following table.
Mode | Description |
DUPLICATE | Annotations from the annotation collection will always be inserted. After all transforms have been run, it will be an error if multiple annotations (excluding those with SOURCE retention) exist. |
PREFER_COLLECTOR | Annotations from the collector will be added and any existing annotations with the same name will be removed. |
PREFER_COLLECTOR_MERGED | Annotations from the collector will be added and any existing annotations with the same name will be removed but any new parameters found within existing annotations will be merged into the added annotation. |
PREFER_EXPLICIT | Annotations from the collector will be ignored if any existing annotations with the same name are found. |
PREFER_EXPLICIT_MERGED | Annotations from the collector will be ignored if any existing annotations with the same name are found but any new parameters on the collector annotation will be added to existing annotations. |
A custom annotation processor will let you choose how to expand ameta-annotation into collected annotations. The behaviour of the meta-annotation is,in this case, totally up to you. To do this, you must:
create a meta-annotation processor, extendingorg.codehaus.groovy.transform.AnnotationCollectorTransform
declare the processor to be used in the meta-annotation declaration
To illustrate this, we are going to explore how the meta-annotation@CompileDynamic
is implemented.
@CompileDynamic
is a meta-annotation that expands itselfto @CompileStatic(TypeCheckingMode.SKIP)
. The problem is that thedefault meta annotation processor doesn’t support enums and theannotation valueTypeCheckingMode.SKIP
is one.
The naive implementation here would not work:
@CompileStatic(TypeCheckingMode.SKIP)@AnnotationCollectorpublic @interface CompileDynamic {}
Instead, we will define it like this:
@AnnotationCollector(processor = "org.codehaus.groovy.transform.CompileDynamicProcessor")public @interface CompileDynamic {}
The first thing you may notice is that our interface is no longerannotated with @CompileStatic
. The reason for this is that we rely ontheprocessor
parameter instead, that references a class whichwill generate the annotation.
Here is how the custom processor is implemented:
@CompileStatic(1)class CompileDynamicProcessor extends AnnotationCollectorTransform {(2) private static final ClassNode CS_NODE = ClassHelper.make(CompileStatic)(3) private static final ClassNode TC_NODE = ClassHelper.make(TypeCheckingMode)(4) List<AnnotationNode> visit(AnnotationNode collector,(5) AnnotationNode aliasAnnotationUsage,(6) AnnotatedNode aliasAnnotated,(7) SourceUnit source) {(8) def node = new AnnotationNode(CS_NODE)(9) def enumRef = new PropertyExpression( new ClassExpression(TC_NODE), "SKIP")(10) node.addMember("value", enumRef)(11) Collections.singletonList(node)(12) }}
1 | our custom processor is written in Groovy, and for better compilation performance, we use static compilation |
2 | the custom processor has to extendorg.codehaus.groovy.transform.AnnotationCollectorTransform |
3 | create a class node representing the@CompileStatic annotation type |
4 | create a class node representing theTypeCheckingMode enum type |
5 | collector is the@AnnotationCollector node found in the meta-annotation. Usually unused. |
6 | aliasAnnotationUsage is the meta-annotation being expanded, here it is@CompileDynamic |
7 | aliasAnnotated is the node being annotated with the meta-annotation |
8 | sourceUnit is theSourceUnit being compiled |
9 | we create a new annotation node for@CompileStatic |
10 | we create an expression equivalent toTypeCheckingMode.SKIP |
11 | we add that expression to the annotation node, which is now@CompileStatic(TypeCheckingMode.SKIP) |
12 | return the generated annotation |
In the example, thevisit
method is the only method which has to be overridden. It is meant to return a list ofannotation nodes that will be added to the node annotated with the meta-annotation. In this example, we return asingle one corresponding to@CompileStatic(TypeCheckingMode.SKIP)
.
Traits are a structural construct of the language which allows:
composition of behaviors
runtime implementation of interfaces
behavior overriding
compatibility with static type checking/compilation
They can be seen asinterfaces carrying bothdefault implementations andstate. A trait is defined using thetrait
keyword:
trait FlyingAbility {(1) String fly() { "I'm flying!" }(2)}
1 | declaration of a trait |
2 | declaration of a method inside a trait |
Then it can be used like a normal interface using theimplements
keyword:
class Bird implements FlyingAbility {}(1)def b = new Bird()(2)assert b.fly() == "I'm flying!"(3)
1 | Adds the traitFlyingAbility to theBird class capabilities |
2 | instantiate a newBird |
3 | theBird class automatically gets the behavior of theFlyingAbility trait |
Traits allow a wide range of capabilities, from simple composition to testing, which are described thoroughly in this section.
Declaring a method in a trait can be done like any regular method in a class:
trait FlyingAbility {(1) String fly() { "I'm flying!" }(2)}
1 | declaration of a trait |
2 | declaration of a method inside a trait |
In addition, traits may declareabstract methods too, which therefore need to be implemented in the class implementing the trait:
trait Greetable { abstract String name()(1) String greeting() { "Hello, ${name()}!" }(2)}
1 | implementing class will have to declare thename method |
2 | can be mixed with a concrete method |
Then the trait can be used like this:
class Person implements Greetable {(1) String name() { 'Bob' }(2)}def p = new Person()assert p.greeting() == 'Hello, Bob!'(3)
1 | implement the traitGreetable |
2 | sincename was abstract, it is required to implement it |
3 | thengreeting can be called |
Traits may also define private methods. Those methods will not appear in the trait contract interface:
trait Greeter { private String greetingMessage() {(1) 'Hello from a private method!' } String greet() { def m = greetingMessage()(2) println m m }}class GreetingMachine implements Greeter {}(3)def g = new GreetingMachine()assert g.greet() == "Hello from a private method!"(4)try { assert g.greetingMessage()(5)} catch (MissingMethodException e) { println "greetingMessage is private in trait"}
1 | define a private methodgreetingMessage in the trait |
2 | the publicgreet message callsgreetingMessage by default |
3 | create a class implementing the trait |
4 | greet can be called |
5 | but notgreetingMessage |
Traits only supportpublic andprivate methods. Neitherprotected norpackage private scopes aresupported. |
If we have a class implementing a trait, conceptually implementations from the trait methodsare "inherited" into the class. But, in reality, there is no base class containing suchimplementations. Rather, they are woven directly into the class. A final modifier on a methodjust indicates what the modifier will be for the woven method. While it would likely beconsidered bad style to inherit and override or multiply inherit methods with the samesignature but a mix of final and non-final variants, Groovy doesn’t prohibit this scenario.Normal method selection applies and the modifier used will be determined from the resulting method.You might consider creating a base class which implements the desired trait(s) if youwant trait implementation methods that can’t be overridden.
this
represents the implementing instance. Think of a trait as a superclass. This means that when you write:
trait Introspector { def whoAmI() { this }}class Foo implements Introspector {}def foo = new Foo()
then calling:
foo.whoAmI()
will return the same instance:
assert foo.whoAmI().is(foo)
Traits may implement interfaces, in which case the interfaces are declared using theimplements
keyword:
interface Named {(1) String name()}trait Greetable implements Named {(2) String greeting() { "Hello, ${name()}!" }}class Person implements Greetable {(3) String name() { 'Bob' }(4)}def p = new Person()assert p.greeting() == 'Hello, Bob!'(5)assert p instanceof Named(6)assert p instanceof Greetable(7)
1 | declaration of a normal interface |
2 | addNamed to the list of implemented interfaces |
3 | declare a class that implements theGreetable trait |
4 | implement the missingname method |
5 | thegreeting implementation comes from the trait |
6 | make surePerson implements theNamed interface |
7 | make surePerson implements theGreetable trait |
A trait may define properties, like in the following example:
trait Named { String name(1)}class Person implements Named {}(2)def p = new Person(name: 'Bob')(3)assert p.name == 'Bob'(4)assert p.getName() == 'Bob'(5)
1 | declare a propertyname inside a trait |
2 | declare a class which implements the trait |
3 | the property is automatically made visible |
4 | it can be accessed using the regular property accessor |
5 | or using the regular getter syntax |
Since traits allow the use of private methods, it can also be interesting to use private fields to store state. Traitswill let you do that:
trait Counter { private int count = 0(1) int count() { count += 1; count }(2)}class Foo implements Counter {}(3)def f = new Foo()assert f.count() == 1(4)assert f.count() == 2
1 | declare a private fieldcount inside a trait |
2 | declare a public methodcount that increments the counter and returns it |
3 | declare a class that implements theCounter trait |
4 | thecount method can use the private field to keep state |
This is a major difference withJava 8 virtual extension methods. While virtual extension methodsdo not carry state, traits can. Moreover, traits in Groovy are supported starting with Java 6, because their implementation does not rely on virtual extension methods. Thismeans that even if a trait can be seen from a Java class as a regular interface, that interface willnot have default methods, only abstract ones. |
Public fields work the same way as private fields, but in order to avoid thediamond problem,field names are remapped in the implementing class:
trait Named { public String name(1)}class Person implements Named {}(2)def p = new Person()(3)p.Named__name = 'Bob'(4)
1 | declare a publicfield inside the trait |
2 | declare a class implementing the trait |
3 | create an instance of that class |
4 | the public field is available, but renamed |
The name of the field depends on the fully qualified name of the trait. All dots (.
) in package are replaced with an underscore (_
), and the final name includes a double underscore.So if the type of the field isString
, the name of the package ismy.package
, the name of the trait isFoo
and the name of the field isbar
,in the implementing class, the public field will appear as:
String my_package_Foo__bar
While traits support public fields, it is not recommended to use them and considered as a bad practice. |
Traits can be used to implement multiple inheritance in a controlled way. For example, we can have the following traits:
trait FlyingAbility {(1) String fly() { "I'm flying!" }(2)}trait SpeakingAbility { String speak() { "I'm speaking!" }}
And a class implementing both traits:
class Duck implements FlyingAbility, SpeakingAbility {}(1)def d = new Duck()(2)assert d.fly() == "I'm flying!"(3)assert d.speak() == "I'm speaking!"(4)
1 | theDuck class implements bothFlyingAbility andSpeakingAbility |
2 | creates a new instance ofDuck |
3 | we can call the methodfly fromFlyingAbility |
4 | but also the methodspeak fromSpeakingAbility |
Traits encourage the reuse of capabilities among objects, and the creation of new classes by the composition of existing behavior.
Traits provide default implementations for methods, but it is possible to override them in the implementing class. For example, wecan slightly change the example above, by having a duck which quacks:
class Duck implements FlyingAbility, SpeakingAbility { String quack() { "Quack!" }(1) String speak() { quack() }(2)}def d = new Duck()assert d.fly() == "I'm flying!"(3)assert d.quack() == "Quack!"(4)assert d.speak() == "Quack!"(5)
1 | define a method specific toDuck , namedquack |
2 | override the default implementation ofspeak so that we usequack instead |
3 | the duck is still flying, from the default implementation |
4 | quack comes from theDuck class |
5 | speak no longer uses the default implementation fromSpeakingAbility |
Traits may extend another trait, in which case you must use theextends
keyword:
trait Named { String name(1)}trait Polite extends Named {(2) String introduce() { "Hello, I am $name" }(3)}class Person implements Polite {}def p = new Person(name: 'Alice')(4)assert p.introduce() == 'Hello, I am Alice'(5)
1 | theNamed trait defines a singlename property |
2 | thePolite traitextends theNamed trait |
3 | Polite adds a new method which has access to thename property of the super-trait |
4 | thename property is visible from thePerson class implementingPolite |
5 | as is theintroduce method |
Alternatively, a trait may extend multiple traits. In that case, all super traits must be declared in theimplements
clause:
trait WithId {(1) Long id}trait WithName {(2) String name}trait Identified implements WithId, WithName {}(3)
1 | WithId trait defines theid property |
2 | WithName trait defines thename property |
3 | Identified is a trait which inherits bothWithId andWithName |
Traits can call any dynamic code, like a normal Groovy class. This means that you can, in the body of a method, callmethods which are supposed to exist in an implementing class, without having to explicitly declare them in an interface.This means that traits are fully compatible with duck typing:
trait SpeakingDuck { String speak() { quack() }(1)}class Duck implements SpeakingDuck { String methodMissing(String name, args) { "${name.capitalize()}!"(2) }}def d = new Duck()assert d.speak() == 'Quack!'(3)
1 | theSpeakingDuck expects thequack method to be defined |
2 | theDuck class does implement the method usingmethodMissing |
3 | calling thespeak method triggers a call toquack which is handled bymethodMissing |
It is also possible for a trait to implement MOP methods likemethodMissing
orpropertyMissing
, in which case implementing classeswill inherit the behavior from the trait, like in this example:
trait DynamicObject {(1) private Map props = [:] def methodMissing(String name, args) { name.toUpperCase() } def propertyMissing(String name) { props.get(name) } void setProperty(String name, Object value) { props.put(name, value) }}class Dynamic implements DynamicObject { String existingProperty = 'ok'(2) String existingMethod() { 'ok' }(3)}def d = new Dynamic()assert d.existingProperty == 'ok'(4)assert d.foo == null(5)d.foo = 'bar'(6)assert d.foo == 'bar'(7)assert d.existingMethod() == 'ok'(8)assert d.someMethod() == 'SOMEMETHOD'(9)
1 | create a trait implementing several MOP methods |
2 | theDynamic class defines a property |
3 | theDynamic class defines a method |
4 | calling an existing property will call the method fromDynamic |
5 | calling a non-existing property will call the method from the trait |
6 | will callsetProperty defined on the trait |
7 | will callgetProperty defined on the trait |
8 | calling an existing method onDynamic |
9 | but calling a non-existing method thanks to the traitmethodMissing |
It is possible for a class to implement multiple traits. If some trait defines a method with the same signature as amethod in another trait, we have a conflict:
trait A { String exec() { 'A' }(1)}trait B { String exec() { 'B' }(2)}class C implements A,B {}(3)
1 | traitA defines a method namedexec returning aString |
2 | traitB defines the very same method |
3 | classC implements both traits |
In this case, the default behavior is that the method from thelast declared trait in theimplements
clause wins.Here,B
is declared afterA
so the method fromB
will be picked up:
def c = new C()assert c.exec() == 'B'
In case this behavior is not the one you want, you can explicitly choose which method to call using theTrait.super.foo
syntax.In the example above, we can ensure the method from trait A is invoked by writing this:
class C implements A,B { String exec() { A.super.exec() }(1)}def c = new C()assert c.exec() == 'A'(2)
1 | explicit call ofexec from the traitA |
2 | calls the version fromA instead of using the default resolution, which would be the one fromB |
Groovy also supports implementing traits dynamically at runtime. It allows you to "decorate" an existing object using atrait. As an example, let’s start with this trait and the following class:
trait Extra { String extra() { "I'm an extra method" }(1)}class Something {(2) String doSomething() { 'Something' }(3)}
1 | theExtra trait defines anextra method |
2 | theSomething class doesnot implement theExtra trait |
3 | Something only defines a methoddoSomething |
Then if we do:
def s = new Something()s.extra()
the call to extra would fail becauseSomething
is not implementingExtra
. It is possible to do it at runtime withthe following syntax:
def s = new Something() as Extra(1)s.extra()(2)s.doSomething()(3)
1 | use of theas keyword to coerce an object to a traitat runtime |
2 | thenextra can be called on the object |
3 | anddoSomething is still callable |
When coercing an object to a trait, the result of the operation is not the same instance. It is guaranteedthat the coerced object will implement both the traitand the interfaces that the original object implements, butthe result willnot be an instance of the original class. |
Should you need to implement several traits at once, you can use thewithTraits
method instead of theas
keyword:
trait A { void methodFromA() {} }trait B { void methodFromB() {} }class C {}def c = new C()c.methodFromA()(1)c.methodFromB()(2)def d = c.withTraits A, B(3)d.methodFromA()(4)d.methodFromB()(5)
1 | call tomethodFromA will fail becauseC doesn’t implementA |
2 | call tomethodFromB will fail becauseC doesn’t implementB |
3 | withTrait will wrapc into something which implementsA andB |
4 | methodFromA will now pass becaused implementsA |
5 | methodFromB will now pass becaused also implementsB |
When coercing an object to multiple traits, the result of the operation is not the same instance. It is guaranteedthat the coerced object will implement both the traitsand the interfaces that the original object implements, butthe result willnot be an instance of the original class. |
Groovy supports the concept ofstackable traits. The idea is to delegate from one trait to the other if the current traitis not capable of handling a message. To illustrate this, let’s imagine a message handler interface like this:
interface MessageHandler { void on(String message, Map payload)}
Then you can compose a message handler by applying small behaviors. For example, let’s define a default handler in theform of a trait:
trait DefaultHandler implements MessageHandler { void on(String message, Map payload) { println "Received $message with payload $payload" }}
Then any class can inherit the behavior of the default handler by implementing the trait:
class SimpleHandler implements DefaultHandler {}
Now what if you want to log all messages, in addition to the default handler? One option is to write this:
class SimpleHandlerWithLogging implements DefaultHandler { void on(String message, Map payload) {(1) println "Seeing $message with payload $payload"(2) DefaultHandler.super.on(message, payload)(3) }}
1 | explicitly implement theon method |
2 | perform logging |
3 | continue by delegating to theDefaultHandler trait |
This works but this approach has drawbacks:
the logging logic is bound to a "concrete" handler
we have an explicit reference toDefaultHandler
in theon
method, meaning that if we happen to change the trait that our class implements, code will be broken
As an alternative, we can write another trait which responsibility is limited to logging:
trait LoggingHandler implements MessageHandler {(1) void on(String message, Map payload) { println "Seeing $message with payload $payload"(2) super.on(message, payload)(3) }}
1 | the logging handler is itself a handler |
2 | prints the message it receives |
3 | thensuper makes it delegate the call to the next trait in the chain |
Then our class can be rewritten as this:
class HandlerWithLogger implements DefaultHandler, LoggingHandler {}def loggingHandler = new HandlerWithLogger()loggingHandler.on('test logging', [:])
which will print:
Seeing test logging with payload [:]Received test logging with payload [:]
As the priority rules imply thatLoggerHandler
wins because it is declared last, then a call toon
will usethe implementation fromLoggingHandler
. But the latter has a call tosuper
, which means the next trait in thechain. Here, the next trait isDefaultHandler
soboth will be called:
The interest of this approach becomes more evident if we add a third handler, which is responsible for handling messagesthat start withsay
:
trait SayHandler implements MessageHandler { void on(String message, Map payload) { if (message.startsWith("say")) {(1) println "I say ${message - 'say'}!" } else { super.on(message, payload)(2) } }}
1 | a handler specific precondition |
2 | if the precondition is not met, pass the message to the next handler in the chain |
Then our final handler looks like this:
class Handler implements DefaultHandler, SayHandler, LoggingHandler {}def h = new Handler()h.on('foo', [:])h.on('sayHello', [:])
Which means:
messages will first go through the logging handler
the logging handler callssuper
which will delegate to the next handler, which is theSayHandler
if the message starts withsay
, then the handler consumes the message
if not, thesay
handler delegates to the next handler in the chain
This approach is very powerful because it allows you to write handlers that do not know each other and yet let youcombine them in the order you want. For example, if we execute the code, it will print:
Seeing foo with payload [:]Received foo with payload [:]Seeing sayHello with payload [:]I say Hello!
but if we move the logging handler to be the second one in the chain, the output is different:
class AlternateHandler implements DefaultHandler, LoggingHandler, SayHandler {}h = new AlternateHandler()h.on('foo', [:])h.on('sayHello', [:])
prints:
Seeing foo with payload [:]Received foo with payload [:]I say Hello!
The reason is that now, since theSayHandler
consumes the message without callingsuper
, the logging handler isnot called anymore.
If a class implements multiple traits and a call to an unqualifiedsuper
is found, then:
if the class implements another trait, the call delegates to the next trait in the chain
if there isn’t any trait left in the chain,super
refers to the super class of the implementing class (this)
For example, it is possible to decorate final classes thanks to this behavior:
trait Filtering {(1) StringBuilder append(String str) {(2) def subst = str.replace('o','')(3) super.append(subst)(4) } String toString() { super.toString() }(5)}def sb = new StringBuilder().withTraits Filtering(6)sb.append('Groovy')assert sb.toString() == 'Grvy'(7)
1 | define a trait namedFiltering , supposed to be applied on aStringBuilder at runtime |
2 | redefine theappend method |
3 | remove all 'o’s from the string |
4 | then delegate tosuper |
5 | in casetoString is called, delegate tosuper.toString |
6 | runtime implementation of theFiltering trait on aStringBuilder instance |
7 | the string which has been appended no longer contains the lettero |
In this example, whensuper.append
is encountered, there is no other trait implemented by the target object, so themethod which is called is the originalappend
method, that is to say the one fromStringBuilder
. The same trickis used fortoString
, so that the string representation of the proxy object which is generated delegates to thetoString
of theStringBuilder
instance.
If a trait defines a single abstract method, it is candidate for SAM (Single Abstract Method) type coercion. For example,imagine the following trait:
trait Greeter { String greet() { "Hello $name" }(1) abstract String getName()(2)}
1 | thegreet method is not abstract and calls the abstract methodgetName |
2 | getName is an abstract method |
SincegetName
is thesingle abstract method in theGreeter
trait, you can write:
Greeter greeter = { 'Alice' }(1)
1 | the closure "becomes" the implementation of thegetName single abstract method |
or even:
void greet(Greeter g) { println g.greet() }(1)greet { 'Alice' }(2)
1 | the greet method accepts the SAM type Greeter as parameter |
2 | we can call it directly with a closure |
In Java 8, interfaces can have default implementations of methods. If a class implements an interface and does not providean implementation for a default method, then the implementation from the interface is chosen. Traits behave the same butwith a major difference: the implementation from the trait isalways used if the class declares the trait in its interfacelistand that it doesn’t provide an implementationeven if a super class does.
This feature can be used to compose behaviors in a very precise way, in case you want to override the behavior of analready implemented method.
To illustrate the concept, let’s start with this simple example:
import groovy.test.GroovyTestCaseimport groovy.transform.CompileStaticimport org.codehaus.groovy.control.CompilerConfigurationimport org.codehaus.groovy.control.customizers.ASTTransformationCustomizerimport org.codehaus.groovy.control.customizers.ImportCustomizerclass SomeTest extends GroovyTestCase { def config def shell void setup() { config = new CompilerConfiguration() shell = new GroovyShell(config) } void testSomething() { assert shell.evaluate('1+1') == 2 } void otherTest() { /* ... */ }}
In this example, we create a simple test case which uses two properties (config andshell) and uses those inmultiple test methods. Now imagine that you want to test the same, but with another distinct compiler configuration.One option is to create a subclass ofSomeTest
:
class AnotherTest extends SomeTest { void setup() { config = new CompilerConfiguration() config.addCompilationCustomizers( ... ) shell = new GroovyShell(config) }}
It works, but what if you have actually multiple test classes, and that you want to test the new configuration for allthose test classes? Then you would have to create a distinct subclass for each test class:
class YetAnotherTest extends SomeTest { void setup() { config = new CompilerConfiguration() config.addCompilationCustomizers( ... ) shell = new GroovyShell(config) }}
Then what you see is that thesetup
method of both tests is the same. The idea, then, is to create a trait:
trait MyTestSupport { void setup() { config = new CompilerConfiguration() config.addCompilationCustomizers( new ASTTransformationCustomizer(CompileStatic) ) shell = new GroovyShell(config) }}
Then use it in the subclasses:
class AnotherTest extends SomeTest implements MyTestSupport {}class YetAnotherTest extends SomeTest2 implements MyTestSupport {}...
It would allow us to dramatically reduce the boilerplate code, and reduces the risk of forgetting to change the setupcode in case we decide to change it. Even ifsetup
is already implemented in the super class, since the test class declaresthe trait in its interface list, the behavior will be borrowed from the trait implementation!
This feature is in particular useful when you don’t have access to the super class source code. It can be used tomock methods or force a particular implementation of a method in a subclass. It lets you refactor your code to keepthe overridden logic in a single trait and inherit a new behavior just by implementing it. The alternative, of course,is to override the method inevery place you would have used the new code.
It’s worth noting that if you use runtime traits, the methods from the trait arealways preferred to those of the proxiedobject: |
class Person { String name(1)}trait Bob { String getName() { 'Bob' }(2)}def p = new Person(name: 'Alice')assert p.name == 'Alice'(3)def p2 = p as Bob(4)assert p2.name == 'Bob'(5)
1 | thePerson class defines aname property which results in agetName method |
2 | Bob is a trait which definesgetName as returningBob |
3 | the default object will returnAlice |
4 | p2 coercesp intoBob at runtime |
5 | getName returnsBob becausegetName is taken from thetrait |
Again, don’t forget that dynamic trait coercion returns a distinct object which only implements the originalinterfaces, as well as the traits. |
There are several conceptual differences with mixins, as they are available in Groovy. Note that we are talking aboutruntime mixins, not the @Mixin annotation which is deprecated in favour of traits.
First of all, methods defined in a trait are visible in bytecode:
internally, the trait is represented as an interface (without default or static methods) and several helper classes
this means that an object implementing a trait effectively implements aninterface
those methods are visible from Java
they are compatible with type checking and static compilation
Methods added through a mixin are, on the contrary, only visible at runtime:
class A { String methodFromA() { 'A' } }(1)class B { String methodFromB() { 'B' } }(2)A.metaClass.mixin B(3)def o = new A()assert o.methodFromA() == 'A'(4)assert o.methodFromB() == 'B'(5)assert o instanceof A(6)assert !(o instanceof B)(7)
1 | classA definesmethodFromA |
2 | classB definesmethodFromB |
3 | mixin B into A |
4 | we can callmethodFromA |
5 | we can also callmethodFromB |
6 | the object is an instance ofA |
7 | but it’snot an instanceofB |
The last point is actually a very important and illustrates a place where mixins have an advantage over traits: the instancesarenot modified, so if you mixin some class into another, there isn’t a third class generated, and methods which respond toA will continue responding to A even if mixed in.
The following instructions are subject to caution. Static member support is work in progress and still experimental. Theinformation below is valid for 4.0.27 only. |
It is possible to define static methods in a trait, but it comes with numerous limitations:
Traits with static methods cannot be compiled statically or type checked. All static methods,properties and field are accessed dynamically (it’s a limitation from the JVM).
Static methods do not appear within the generated interfaces for each trait.
The trait is interpreted as atemplate for the implementing class, which means that eachimplementing class will get its own static methods, properties and fields. So a static memberdeclared on a trait doesn’t belong to theTrait
, but to its implementing class.
You should typically not mix static and instance methods of the same signature. The normalrules for applying traits apply (including multiple inheritance conflict resolution). If themethod chosen is static but some implemented trait has an instance variant, a compilation errorwill occur. If the method chosen is the instance variant, the static variant will be ignored(the behavior is similar to static methods in Java interfaces for this case).
Let’s start with a simple example:
trait TestHelper { public static boolean CALLED = false(1) static void init() {(2) CALLED = true(3) }}class Foo implements TestHelper {}Foo.init()(4)assert Foo.TestHelper__CALLED(5)
1 | the static field is declared in the trait |
2 | a static method is also declared in the trait |
3 | the static field is updatedwithin the trait |
4 | a static methodinit is made available to the implementing class |
5 | the static field isremapped to avoid the diamond issue |
As usual, it is not recommended to use public fields. Anyway, should you want this, you must understand that the following code would fail:
Foo.CALLED = true
because there isno static fieldCALLED defined on the trait itself. Likewise, if you have two distinct implementing classes, each one gets a distinct static field:
class Bar implements TestHelper {}(1)class Baz implements TestHelper {}(2)Bar.init()(3)assert Bar.TestHelper__CALLED(4)assert !Baz.TestHelper__CALLED(5)
1 | classBar implements the trait |
2 | classBaz also implements the trait |
3 | init is only called onBar |
4 | the static fieldCALLED onBar is updated |
5 | but the static fieldCALLED onBaz is not, because it isdistinct |
We have seen that traits are stateful. It is possible for a trait to define fields or properties, but when a class implements a trait, it gets those fields/properties ona per-trait basis. So consider the following example:
trait IntCouple { int x = 1 int y = 2 int sum() { x+y }}
The trait defines two properties,x
andy
, as well as asum
method. Now let’s create a class which implements the trait:
class BaseElem implements IntCouple { int f() { sum() }}def base = new BaseElem()assert base.f() == 3
The result of callingf
is3
, becausef
delegates tosum
in the trait, which has state. But what if we write this instead?
class Elem implements IntCouple { int x = 3(1) int y = 4(2) int f() { sum() }(3)}def elem = new Elem()
1 | Override propertyx |
2 | Override propertyy |
3 | Callsum from trait |
If you callelem.f()
, what is the expected output? Actually it is:
assert elem.f() == 3
The reason is that thesum
method accesses thefields of the trait. So it is using thex
andy
values definedin the trait. If you want to use the values from the implementing class, then you need to dereference fields by usinggetters and setters, like in this last example:
trait IntCouple { int x = 1 int y = 2 int sum() { getX()+getY() }}class Elem implements IntCouple { int x = 3 int y = 4 int f() { sum() }}def elem = new Elem()assert elem.f() == 7
Sometimes you will want to write a trait that can only be applied to some type. For example, you may want to apply atrait on a class that extends another class which is beyond your control, and still be able to call those methods.To illustrate this, let’s start with this example:
class CommunicationService { static void sendMessage(String from, String to, String message) {(1) println "$from sent [$message] to $to" }}class Device { String id }(2)trait Communicating { void sendMessage(Device to, String message) { CommunicationService.sendMessage(id, to.id, message)(3) }}class MyDevice extends Device implements Communicating {}(4)def bob = new MyDevice(id:'Bob')def alice = new MyDevice(id:'Alice')bob.sendMessage(alice,'secret')(5)
1 | AService class, beyond your control (in a library, …) defines asendMessage method |
2 | ADevice class, beyond your control (in a library, …) |
3 | Defines a communicating trait for devices that can call the service |
4 | DefinesMyDevice as a communicating device |
5 | The method from the trait is called, andid is resolved |
It is clear, here, that theCommunicating
trait can only apply toDevice
. However, there’s no explicitcontract to indicate that, because traits cannot extend classes. However, the code compiles and runs perfectlyfine, becauseid
in the trait method will be resolved dynamically. The problem is that there is nothing thatprevents the trait from being applied to any class which isnot aDevice
. Any class which has anid
wouldwork, while any class that does not have anid
property would cause a runtime error.
The problem is even more complex if you want to enable type checking or apply@CompileStatic
on the trait: becausethe trait knows nothing about itself being aDevice
, the type checker will complain saying that it does not findtheid
property.
One possibility is to explicitly add agetId
method in the trait, but it would not solve all issues. What if a methodrequiresthis
as a parameter, and actually requires it to be aDevice
?
class SecurityService { static void check(Device d) { if (d.id==null) throw new SecurityException() }}
If you want to be able to callthis
in the trait, then you will explicitly need to castthis
into aDevice
. This canquickly become unreadable with explicit casts tothis
everywhere.
In order to make this contract explicit, and to make the type checker aware of thetype of itself, Groovy providesa@SelfType
annotation that will:
let you declare the types that a class that implements this trait must inherit or implement
throw a compile-time error if those type constraints are not satisfied
So in our previous example, we can fix the trait using the@groovy.transform.SelfType
annotation:
@SelfType(Device)@CompileStatictrait Communicating { void sendMessage(Device to, String message) { SecurityService.check(this) CommunicationService.sendMessage(id, to.id, message) }}
Now if you try to implement this trait on a class that isnot a device, a compile-time error will occur:
class MyDevice implements Communicating {} // forgot to extend Device
The error will be:
class 'MyDevice' implements trait 'Communicating' but does not extend self type class 'Device'
In conclusion, self types are a powerful way of declaring constraints on traits without having to declare the contractdirectly in the trait or having to use casts everywhere, maintaining separation of concerns as tight as it should be.
Both@Sealed
and@SelfType
restrict classes which use a trait but in orthogonal ways.Consider the following example:
interface HasHeight { double getHeight() }interface HasArea { double getArea() }@SelfType([HasHeight, HasArea])(1)@Sealed(permittedSubclasses=[UnitCylinder,UnitCube])(2)trait HasVolume { double getVolume() { height * area }}final class UnitCube implements HasVolume, HasHeight, HasArea { // for the purposes of this example: h=1, w=1, l=1 double height = 1d double area = 1d}final class UnitCylinder implements HasVolume, HasHeight, HasArea { // for the purposes of this example: h=1, diameter=1 // radius=diameter/2, area=PI * r^2 double height = 1d double area = Math.PI * 0.5d**2}assert new UnitCube().volume == 1dassert new UnitCylinder().volume == 0.7853981633974483d
1 | All usages of theHasVolume trait must implement or extend bothHasHeight andHasArea |
2 | OnlyUnitCube orUnitCylinder can use the trait |
For the degenerate case where a single class implements a trait, e.g.:
final class Foo implements FooTrait {}
Then, either:
@SelfType(Foo)trait FooTrait {}
or:
@Sealed(permittedSubclasses='Foo')(1)trait FooTrait {}
1 | Or just@Sealed ifFoo andFooTrait are in the same source file |
could express this constraint. Generally, the former of these is preferred.
Traits are not officially compatible with AST transformations. Some of them, like@CompileStatic will be appliedon the trait itself (not on implementing classes), while others will apply on both the implementing class and the trait.There is absolutely no guarantee that an AST transformation will run on a trait as it does on a regular class, so use itat your own risk! |
Within traits, prefix and postfix operations are not allowed if they update a field of the trait:
trait Counting { int x void inc() { x++(1) } void dec() { --x(2) }}class Counter implements Counting {}def c = new Counter()c.inc()
1 | x is defined within the trait, postfix increment is not allowed |
2 | x is defined within the trait, prefix decrement is not allowed |
A workaround is to use the+=
operator instead.
Record classes, orrecords for short, are a special kind of classuseful for modelling plain data aggregates.They provide a compact syntax with less ceremony than normal classes.Groovy already has AST transforms such as@Immutable
and@Canonical
which already dramatically reduce ceremony but records have beenintroduced in Java and record classes in Groovy are designed to alignwith Java record classes.
For example, suppose we want to create aMessage
recordrepresenting an email message. For the purposes of this example,let’s simplify such a message to contain just afrom email address,ato email address, and a messagebody. We can define sucha record as follows:
record Message(String from, String to, String body) { }
We’d use the record class in the same way as a normal class, as shown below:
def msg = new Message('me@myhost.com', 'you@yourhost.net', 'Hello!')assert msg.toString() == 'Message[from=me@myhost.com, to=you@yourhost.net, body=Hello!]'
The reduced ceremony saves us from defining explicit fields, getters andtoString
,equals
andhashCode
methods. In fact, it’s a shorthandfor the following rough equivalent:
final class Message extends Record { private final String from private final String to private final String body private static final long serialVersionUID = 0 /* constructor(s) */ final String toString() { /*...*/ } final boolean equals(Object other) { /*...*/ } final int hashCode() { /*...*/ } String from() { from } // other getters ...}
Note the special naming convention for record getters. They are the same name as the field(rather than the often common JavaBean convention of capitalized with a "get" prefix).Rather than referring to a record’s fields or properties, the termcomponentis typically used for records. So ourMessage
record hasfrom
,to
, andbody
components.
Like in Java, you can override the normally implicitly supplied methodsby writing your own:
record Point3D(int x, int y, int z) { String toString() { "Point3D[coords=$x,$y,$z]" }}assert new Point3D(10, 20, 30).toString() == 'Point3D[coords=10,20,30]'
You can also use generics with records in the normal way. For example, consider the followingCoord
record definition:
record Coord<T extends Number>(T v1, T v2){ double distFromOrigin() { Math.sqrt(v1()**2 + v2()**2 as double) }}
It can be used as follows:
def r1 = new Coord<Integer>(3, 4)assert r1.distFromOrigin() == 5def r2 = new Coord<Double>(6d, 2.5d)assert r2.distFromOrigin() == 6.5d
Records have an implicit constructor. This can be overridden in the normal wayby providing your own constructor - you need to make sure you set all the fieldsif you do this.However, for succinctness, a compact constructor syntax can be used wherethe parameter declaration part of a normal constructor is elided.For this special case, the normal implicit constructor is still providedbut is augmented by the supplied statements in the compact constructor definition:
public record Warning(String message) { public Warning { Objects.requireNonNull(message) message = message.toUpperCase() }}def w = new Warning('Help')assert w.message() == 'HELP'
Groovynative records follow thespecial conventionsfor serializability which apply to Java records.Groovyrecord-like classes (discussed below) follow normal Java class serializability conventions.
Groovy supports default values for constructor arguments.This capability is also available for records as shown in the following record definitionwhich has default values fory
andcolor
:
record ColoredPoint(int x, int y = 0, String color = 'white') {}
Arguments when left off (dropping one or more arguments from the right) are replacedwith their defaults values as shown in the following example:
assert new ColoredPoint(5, 5, 'black').toString() == 'ColoredPoint[x=5, y=5, color=black]'assert new ColoredPoint(5, 5).toString() == 'ColoredPoint[x=5, y=5, color=white]'assert new ColoredPoint(5).toString() == 'ColoredPoint[x=5, y=0, color=white]'
This processing follows normal Groovy conventions for default arguments for constructors, essentially automatically providing the constructors with the following signatures:
ColoredPoint(int, int, String)ColoredPoint(int, int)ColoredPoint(int)
Named arguments may also be used (default values also apply here):
assert new ColoredPoint(x: 5).toString() == 'ColoredPoint[x=5, y=0, color=white]'assert new ColoredPoint(x: 0, y: 5).toString() == 'ColoredPoint[x=0, y=5, color=white]'
You can disable default argument processing as shown here:
@TupleConstructor(defaultsMode=DefaultsMode.OFF)record ColoredPoint2(int x, int y, String color) {}assert new ColoredPoint2(4, 5, 'red').toString() == 'ColoredPoint2[x=4, y=5, color=red]'
This will produce a single constructor as per the default with Java.It will be an error if you drop off arguments in this scenario.
You can force all properties to have a default value as shown here:
@TupleConstructor(defaultsMode=DefaultsMode.ON)record ColoredPoint3(int x, int y = 0, String color = 'white') {}assert new ColoredPoint3(y: 5).toString() == 'ColoredPoint3[x=0, y=5, color=white]'
Any property/field without an explicit initial value will be given the default value for the argument’s type (null, or zero/false for primitives).
We previously described aMessage
record and displayed it’s rough equivalent.Groovy in fact steps through an intermediate stage where therecord
keywordis replaced by theclass
keyword and an accompanying@RecordType
annotation:
@RecordTypeclass Message { String from String to String body}
Then@RecordType
itself is processed as ameta-annotation (annotation collector)and expanded into its constituent sub-annotations such as@TupleConstructor
,@POJO
,@RecordBase
, and others. This is in some sense an implementation detail which can often be ignored.However, if you wish to customise or configure the record implementation,you may wish to drop back to the@RecordType
style or augment your record classwith one of the constituent sub-annotations.
toString
customizationAs per Java, you can customize a record’stoString
method by writing your own.If you prefer a more declarative style, you can alternatively use Groovy’s@ToString
transformto override the default recordtoString
.As an example, you can a three-dimensional point record as follows:
package threedimport groovy.transform.ToString@ToString(ignoreNulls=true, cache=true, includeNames=true, leftDelimiter='[', rightDelimiter=']', nameValueSeparator='=')record Point(Integer x, Integer y, Integer z=null) { }assert new Point(10, 20).toString() == 'threed.Point[x=10, y=20]'
We customise thetoString
by including the package name (excluded by default for records)and by caching thetoString
value since it won’t change for this immutable record.We are also ignoring null values (the default value forz
in our definition).
We can have a similar definition for a two-dimensional point:
package twodimport groovy.transform.ToString@ToString(ignoreNulls=true, cache=true, includeNames=true, leftDelimiter='[', rightDelimiter=']', nameValueSeparator='=')record Point(Integer x, Integer y) { }assert new Point(10, 20).toString() == 'twod.Point[x=10, y=20]'
We can see here that without the package name it would have the same toString as our previous example.
We can obtain the component values from a record as a list like so:
record Point(int x, int y, String color) { }def p = new Point(100, 200, 'green')def (x, y, c) = p.toList()assert x == 100assert y == 200assert c == 'green'
You can use@RecordOptions(toList=false)
to disable this feature.
We can obtain the component values from a record as a map like so:
record Point(int x, int y, String color) { }def p = new Point(100, 200, 'green')assert p.toMap() == [x: 100, y: 200, color: 'green']
You can use@RecordOptions(toMap=false)
to disable this feature.
We can obtain the number of components in a record like so:
record Point(int x, int y, String color) { }def p = new Point(100, 200, 'green')assert p.size() == 3
You can use@RecordOptions(size=false)
to disable this feature.
We can use Groovy’s normal positional indexing to obtain a particular component in a record like so:
record Point(int x, int y, String color) { }def p = new Point(100, 200, 'green')assert p[1] == 200
You can use@RecordOptions(getAt=false)
to disable this feature.
It can be useful to make a copy of a record with some components changed.This can be done using an optionalcopyWith
method which takes named arguments.Record components are set from the supplied arguments.For components not mentioned, a (shallow) copy of the original record component is used.Here is how you might usecopyWith
for theFruit
record:
@RecordOptions(copyWith=true)record Fruit(String name, double price) {}def apple = new Fruit('Apple', 11.6)assert 'Apple' == apple.name()assert 11.6 == apple.price()def orange = apple.copyWith(name: 'Orange')assert orange.toString() == 'Fruit[name=Orange, price=11.6]'
ThecopyWith
functionality can be disabled by setting theRecordOptions#copyWith
annotation attribute tofalse
.
As with Java, records by default offer shallow immutability.Groovy’s@Immutable
transform performs defensive copying for a range of mutabledata types. Records can make use of this defensive copying to gain deep immutability as follows:
@ImmutablePropertiesrecord Shopping(List items) {}def items = ['bread', 'milk']def shop = new Shopping(items)items << 'chocolate'assert shop.items() == ['bread', 'milk']
These examples illustrate the principal behindGroovy’s record feature offering three levels of convenience:
Using therecord
keyword for maximum succinctness
Supporting low-ceremony customization using declarative annotations
Allowing normal method implementations when full control is required
You can obtain the components of a record as a typed tuple:
import groovy.transform.*@RecordOptions(components=true)record Point(int x, int y, String color) { }@CompileStaticdef method() { def p1 = new Point(100, 200, 'green') def (int x1, int y1, String c1) = p1.components() assert x1 == 100 assert y1 == 200 assert c1 == 'green' def p2 = new Point(10, 20, 'blue') def (x2, y2, c2) = p2.components() assert x2 * 10 == 100 assert y2 ** 2 == 400 assert c2.toUpperCase() == 'BLUE' def p3 = new Point(1, 2, 'red') assert p3.components() instanceof Tuple3}method()
Groovy has a limited number ofTupleN
classes.If you have a large number of components in your record, you might not be able to use this feature.
Groovy supports creatingrecord-like classes as well as native records.Record-like classes don’t extend Java’sRecord
class and such classeswon’t be seen by Java as records but will otherwise have similar properties.
The@RecordOptions
annotation (part of@RecordType
) supports amode
annotation attributewhich can take one of three values (withAUTO
being the default):
Produces a class similar to what Java would do. Produces an error when compiling on JDKs earlier than JDK16.
Produces a record-like class for all JDK versions.
Produces a native record for JDK16+ and emulates the record otherwise.
Whether you use therecord
keyword or the@RecordType
annotationis independent of the mode.
Sealed classes, interfaces and traits restrict which subclasses can extend/implement them.Prior to sealed classes, class hierarchy designers had two main options:
Make a class final to allow no extension.
Make the class public and non-final to allow extension by anyone.
Sealed classes provide a middle-ground compared to these all or nothing choices.
Sealed classes are also more flexible than other tricks previously usedto try to achieve a middle-ground. For example, for class hierarchies,access modifiers like protected and package-private give some ability to restrict inheritancehierarchies but often at the expense of flexible use of those hierarchies.
Sealed hierarchies provide full inheritance within a known hierarchy of classes, interfacesand traits but disable or only provide controlled inheritance outside the hierarchy.
As an example, suppose we want to create a shape hierarchy containingonly circles and squares. We also want a shape interface tobe able to refer to instances in our hierarchy.We can create the hierarchy as follows:
sealed interface ShapeI permits Circle,Square { }final class Circle implements ShapeI { }final class Square implements ShapeI { }
Groovy also supports an alternative annotation syntax.We think the keyword style is nicer but you might choose the annotation style if your editor doesn’t yet have Groovy 4 support.
@Sealed(permittedSubclasses=[Circle,Square]) interface ShapeI { }final class Circle implements ShapeI { }final class Square implements ShapeI { }
We can have a reference of typeShapeI
which, thanks to thepermits
clause,can point to either aCircle
orSquare
and, since our classes arefinal
,we know no additional classes will be added to our hierarchy in the future.At least not without changing thepermits
clause and recompiling.
In general, we might want to have some parts of our class hierarchyimmediately locked down like we have here, where we marked thesubclasses asfinal
but other times we might want to allow furthercontrolled inheritance.
sealed class Shape permits Circle,Polygon,Rectangle { }final class Circle extends Shape { }class Polygon extends Shape { }non-sealed class RegularPolygon extends Polygon { }final class Hexagon extends Polygon { }sealed class Rectangle extends Shape permits Square{ }final class Square extends Rectangle { }
@Sealed(permittedSubclasses=[Circle,Polygon,Rectangle]) class Shape { }final class Circle extends Shape { }class Polygon extends Shape { }@NonSealed class RegularPolygon extends Polygon { }final class Hexagon extends Polygon { }@Sealed(permittedSubclasses=Square) class Rectangle extends Shape { }final class Square extends Rectangle { }
In this example, our permitted subclasses forShape
areCircle
,Polygon
, andRectangle
.Circle
isfinal
and hence that part of the hierarchy cannot be extended.Polygon
is implicitly non-sealed andRegularPolygon
is explicitly marked asnon-sealed
.That means our hierarchy is open to any further extension by subclassing,as seen withPolygon → RegularPolygon
andRegularPolygon → Hexagon
.Rectangle
is itself sealed which means that part of the hierarchy can be extendedbut only in a controlled way (onlySquare
is permitted).
Sealed classes are useful for creating enum-like related classeswhich need to contain instance specific data. For instance, we might have the following enum:
enum Weather { Rainy, Cloudy, Sunny }def forecast = [Weather.Rainy, Weather.Sunny, Weather.Cloudy]assert forecast.toString() == '[Rainy, Sunny, Cloudy]'
but we now wish to also add weather specific instance data to weather forecasts.We can alter our abstraction as follows:
sealed abstract class Weather { }@Immutable(includeNames=true) class Rainy extends Weather { Integer expectedRainfall }@Immutable(includeNames=true) class Sunny extends Weather { Integer expectedTemp }@Immutable(includeNames=true) class Cloudy extends Weather { Integer expectedUV }def forecast = [new Rainy(12), new Sunny(35), new Cloudy(6)]assert forecast.toString() == '[Rainy(expectedRainfall:12), Sunny(expectedTemp:35), Cloudy(expectedUV:6)]'
Sealed hierarchies are also useful when specifying Algebraic or Abstract Data Types (ADTs) as shown in the following example:
import groovy.transform.*sealed interface Tree<T> {}@Singleton final class Empty implements Tree { String toString() { 'Empty' }}@Canonical final class Node<T> implements Tree<T> { T value Tree<T> left, right}Tree<Integer> tree = new Node<>(42, new Node<>(0, Empty.instance, Empty.instance), Empty.instance)assert tree.toString() == 'Node(42, Node(0, Empty, Empty), Empty)'
Sealed hierarchies work well with records as shown in the following example:
sealed interface Expr {}record ConstExpr(int i) implements Expr {}record PlusExpr(Expr e1, Expr e2) implements Expr {}record MinusExpr(Expr e1, Expr e2) implements Expr {}record NegExpr(Expr e) implements Expr {}def threePlusNegOne = new PlusExpr(new ConstExpr(3), new NegExpr(new ConstExpr(1)))assert threePlusNegOne.toString() == 'PlusExpr[e1=ConstExpr[i=3], e2=NegExpr[e=ConstExpr[i=1]]]'
Java provides no default modifier for subclasses of sealed classesand requires that one offinal
,sealed
ornon-sealed
be specified.Groovy defaults tonon-sealed but you can still usenon-sealed/@NonSealed
if you wish.We anticipate the style checking tool CodeNarc will eventually have a rule thatlooks for the presence ofnon-sealed
so developers wanting that stricterstyle will be able to use CodeNarc and that rule if they want.
Currently, Groovy doesn’t check that all classes mentioned inpermittedSubclasses
are available at compile-time and compiled along with the base sealed class.This may change in a future version of Groovy.
Groovy supports annotating classes as sealed as well as "native" sealed classes.
The@SealedOptions
annotation supports amode
annotation attributewhich can take one of three values (withAUTO
being the default):
Produces a class similar to what Java would do.Produces an error when compiling on JDKs earlier than JDK17.
Indicates the class is sealed using the@Sealed
annotation.This mechanism works with the Groovy compiler for JDK8+ but is not recognised by the Java compiler.
Produces a native record for JDK17+ and emulates the record otherwise.
Whether you use thesealed
keyword or the@Sealed
annotationis independent of the mode.
This chapter covers Groovy Closures. A closure in Groovy is an open, anonymous, block of code that can take arguments,return a value and be assigned to a variable. A closure may reference variables declared in its surrounding scope. Inopposition to the formal definition of a closure,Closure
in the Groovy language can also contain free variables whichare defined outside of its surrounding scope. While breaking the formal concept of a closure, it offers a variety ofadvantages which are described in this chapter.
A closure definition follows this syntax:
{ [closureParameters -> ] statements }
Where[closureParameters->]
is an optional comma-delimited list ofparameters, and statements are 0 or more Groovy statements. The parameterslook similar to a method parameter list, and these parameters may betyped or untyped.
When a parameter list is specified, the->
characteris required and serves to separate the arguments from the closure body.Thestatements portion consists of 0, 1, or many Groovy statements.
Some examples of valid closure definitions:
{ item++ }(1){ -> item++ }(2){ println it }(3){ it -> println it }(4){ name -> println name }(5){ String x, int y ->(6) println "hey ${x} the value is ${y}"}{ reader ->(7) def line = reader.readLine() line.trim()}
1 | A closure referencing a variable nameditem |
2 | It is possible to explicitly separate closure parameters from code by adding an arrow (-> ) |
3 | A closure using an implicit parameter (it ) |
4 | An alternative version whereit is an explicit parameter |
5 | In that case it is often better to use an explicit name for the parameter |
6 | A closure accepting two typed parameters |
7 | A closure can contain multiple statements |
A closure is an instance of thegroovy.lang.Closure
class, making it assignable to a variable or a field as anyother variable, despite being a block of code:
def listener = { e -> println "Clicked on $e.source" }(1)assert listener instanceof ClosureClosure callback = { println 'Done!' }(2)Closure<Boolean> isTextFile = { File it -> it.name.endsWith('.txt')(3)}
1 | You can assign a closure to a variable, and it is an instance ofgroovy.lang.Closure |
2 | If not usingdef orvar , usegroovy.lang.Closure as the type |
3 | Optionally, you can specify the return type of the closure by using the generic type ofgroovy.lang.Closure |
A closure, as an anonymous block of code, can be called like any other method. If you define a closure which takesno argument like this:
def code = { 123 }
Then the code inside the closure will only be executed when youcall the closure, which can be done by using thevariable as if it was a regular method:
assert code() == 123
Alternatively, you can be explicit and use thecall
method:
assert code.call() == 123
The principle is the same if the closure accepts arguments:
def isOdd = { int i -> i%2 != 0 }(1)assert isOdd(3) == true(2)assert isOdd.call(2) == false(3)def isEven = { it%2 == 0 }(4)assert isEven(3) == false(5)assert isEven.call(2) == true(6)
1 | define a closure which accepts anint as a parameter |
2 | it can be called directly |
3 | or using thecall method |
4 | same goes for a closure with an implicit argument (it ) |
5 | which can be called directly using(arg) |
6 | or usingcall |
Unlike a method, a closurealways returns a value when called. The next section discusses how to declare closure arguments, when to use them and what is theimplicit"it" parameter.
Parameters of closures follow the same principle as parameters of regular methods:
an optional type
a name
an optional default value
Parameters are separated with commas:
def closureWithOneArg = { str -> str.toUpperCase() }assert closureWithOneArg('groovy') == 'GROOVY'def closureWithOneArgAndExplicitType = { String str -> str.toUpperCase() }assert closureWithOneArgAndExplicitType('groovy') == 'GROOVY'def closureWithTwoArgs = { a,b -> a+b }assert closureWithTwoArgs(1,2) == 3def closureWithTwoArgsAndExplicitTypes = { int a, int b -> a+b }assert closureWithTwoArgsAndExplicitTypes(1,2) == 3def closureWithTwoArgsAndOptionalTypes = { a, int b -> a+b }assert closureWithTwoArgsAndOptionalTypes(1,2) == 3def closureWithTwoArgAndDefaultValue = { int a, int b=2 -> a+b }assert closureWithTwoArgAndDefaultValue(1) == 3
When a closure does not explicitly define a parameter list (using->
), a closurealways defines an implicitparameter, namedit
. This means that this code:
def greeting = { "Hello, $it!" }assert greeting('Patrick') == 'Hello, Patrick!'
is strictly equivalent to this one:
def greeting = { it -> "Hello, $it!" }assert greeting('Patrick') == 'Hello, Patrick!'
If you want to declare a closure which accepts no argument and must be restricted to calls without arguments,then youmust declare it with an explicit empty argument list:
def magicNumber = { -> 42 }// this call will fail because the closure doesn't accept any argumentmagicNumber(11)
It is possible for a closure to declare variable arguments like any other method.Vargs methods are methods thatcan accept a variable number of arguments if the last parameter is of variable length (or an array) like in the nextexamples:
def concat1 = { String... args -> args.join('') }(1)assert concat1('abc','def') == 'abcdef'(2)def concat2 = { String[] args -> args.join('') }(3)assert concat2('abc', 'def') == 'abcdef'def multiConcat = { int n, String... args ->(4) args.join('')*n}assert multiConcat(2, 'abc','def') == 'abcdefabcdef'
1 | A closure accepting a variable number of strings as first parameter |
2 | It may be called using any number of argumentswithout having to explicitly wrap them into an array |
3 | The same behavior is directly available if theargs parameter is declared as an array |
4 | As long as thelast parameter is an array or an explicit vargs type |
Groovy defines closures asinstances of the Closure class. It makes it very different fromlambda expressions in Java 8. Delegation is akey concept in Groovy closures which has no equivalent in lambdas. The ability tochange the delegate orchange thedelegation strategy of closures make it possible to design beautiful domain specific languages (DSLs) in Groovy.
To understand the concept of delegate, we must first explain the meaning ofthis
inside a closure. A closure actuallydefines 3 distinct things:
this
corresponds to theenclosing class where the closure is defined
owner
corresponds to theenclosing object where the closure is defined, which may be either a class or a closure
delegate
corresponds to a third party object where methods calls or properties are resolved whenever the receiver ofthe message is not defined
In a closure, callinggetThisObject
will return the enclosing class where the closure is defined. It is equivalent tousing an explicitthis
:
class Enclosing { void run() { def whatIsThisObject = { getThisObject() }(1) assert whatIsThisObject() == this(2) def whatIsThis = { this }(3) assert whatIsThis() == this(4) }}class EnclosedInInnerClass { class Inner { Closure cl = { this }(5) } void run() { def inner = new Inner() assert inner.cl() == inner(6) }}class NestedClosures { void run() { def nestedClosures = { def cl = { this }(7) cl() } assert nestedClosures() == this(8) }}
1 | a closure is defined inside theEnclosing class, and returnsgetThisObject |
2 | calling the closure will return the instance ofEnclosing where the closure is defined |
3 | in general, you will just want to use the shortcutthis notation |
4 | and it returnsexactly the same object |
5 | if the closure is defined in an inner class |
6 | this in the closurewill return the inner class, not the top-level one |
7 | in case of nested closures, like herecl being defined inside the scope ofnestedClosures |
8 | thenthis corresponds to the closest outer class, not the enclosing closure! |
It is of course possible to call methods from the enclosing class this way:
class Person { String name int age String toString() { "$name is $age years old" } String dump() { def cl = { String msg = this.toString()(1) println msg msg } cl() }}def p = new Person(name:'Janice', age:74)assert p.dump() == 'Janice is 74 years old'
1 | the closure callstoString onthis , which will actually call thetoString method on the enclosing object,that is to say thePerson instance |
The owner of a closure is very similar to the definition ofthis in a closure with a subtle difference:it will return the direct enclosing object, be it a closure or a class:
class Enclosing { void run() { def whatIsOwnerMethod = { getOwner() }(1) assert whatIsOwnerMethod() == this(2) def whatIsOwner = { owner }(3) assert whatIsOwner() == this(4) }}class EnclosedInInnerClass { class Inner { Closure cl = { owner }(5) } void run() { def inner = new Inner() assert inner.cl() == inner(6) }}class NestedClosures { void run() { def nestedClosures = { def cl = { owner }(7) cl() } assert nestedClosures() == nestedClosures(8) }}
1 | a closure is defined inside theEnclosing class, and returnsgetOwner |
2 | calling the closure will return the instance ofEnclosing where the closure is defined |
3 | in general, you will just want to use the shortcutowner notation |
4 | and it returnsexactly the same object |
5 | if the closure is defined in an inner class |
6 | owner in the closurewill return the inner class, not the top-level one |
7 | but in case of nested closures, like herecl being defined inside the scope ofnestedClosures |
8 | thenowner corresponds to the enclosing closure, hence a different object fromthis ! |
The delegate of a closure can be accessed by using thedelegate
property or calling thegetDelegate
method. It is apowerful concept for building domain specific languages in Groovy. Whilethis andownerrefer to the lexical scope of a closure, the delegate is a user defined object that a closure will use. By default, thedelegate is set toowner
:
class Enclosing { void run() { def cl = { getDelegate() }(1) def cl2 = { delegate }(2) assert cl() == cl2()(3) assert cl() == this(4) def enclosed = { { -> delegate }.call()(5) } assert enclosed() == enclosed(6) }}
1 | you can get the delegate of a closure calling thegetDelegate method |
2 | or using thedelegate property |
3 | both return the same object |
4 | which is the enclosing class or closure |
5 | in particular in case of nested closures |
6 | delegate will correspond to theowner |
The delegate of a closure can be changed toany object. Let’s illustrate this by creating two classes which are notsubclasses of each other but both define a property calledname
:
class Person { String name}class Thing { String name}def p = new Person(name: 'Norman')def t = new Thing(name: 'Teapot')
Then let’s define a closure which fetches thename
property on the delegate:
def upperCasedName = { delegate.name.toUpperCase() }
Then by changing the delegate of the closure, you can see that the target object will change:
upperCasedName.delegate = passert upperCasedName() == 'NORMAN'upperCasedName.delegate = tassert upperCasedName() == 'TEAPOT'
At this point, the behavior is not different from having atarget
variable defined in the lexical scope of the closure:
def target = pdef upperCasedNameUsingVar = { target.name.toUpperCase() }assert upperCasedNameUsingVar() == 'NORMAN'
However, there are major differences:
in the last example,target is a local variable referenced from within the closure
the delegate can be used transparently, that is to say without prefixing method calls withdelegate.
as explainedin the next paragraph.
Whenever, in a closure, a property is accessed without explicitly setting a receiver object, then a delegation strategyis involved:
class Person { String name}def p = new Person(name:'Igor')def cl = { name.toUpperCase() }(1)cl.delegate = p(2)assert cl() == 'IGOR'(3)
1 | name is not referencing a variable in the lexical scope of the closure |
2 | we can change the delegate of the closure to be an instance ofPerson |
3 | and the method call will succeed |
The reason this code works is that thename
property will be resolved transparently on thedelegate
object! This isa very powerful way to resolve properties or method calls inside closures. There’s no need to set an explicitdelegate.
receiver: the call will be made because the default delegation strategy of the closure makes it so. A closure actuallydefines multiple resolution strategies that you can choose:
Closure.OWNER_FIRST
is thedefault strategy. If a property/method exists on theowner, then it will be called onthe owner. If not, then thedelegate is used.
Closure.DELEGATE_FIRST
reverses the logic: thedelegate is used first, then theowner
Closure.OWNER_ONLY
will only resolve the property/method lookup on the owner: the delegate will be ignored.
Closure.DELEGATE_ONLY
will only resolve the property/method lookup on the delegate: the owner will be ignored.
Closure.TO_SELF
can be used by developers who need advanced meta-programming techniques and wish to implement acustom resolution strategy: the resolution will not be made on the owner or the delegate but only on the closure classitself. It makes only sense to use this if you implement your own subclass ofClosure
.
Let’s illustrate the default "owner first" strategy with this code:
class Person { String name def pretty = { "My name is $name" }(1) String toString() { pretty() }}class Thing { String name(2)}def p = new Person(name: 'Sarah')def t = new Thing(name: 'Teapot')assert p.toString() == 'My name is Sarah'(3)p.pretty.delegate = t(4)assert p.toString() == 'My name is Sarah'(5)
1 | for the illustration, we define a closure member which references "name" |
2 | both thePerson and theThing class define aname property |
3 | Using the default strategy, thename property is resolved on the owner first |
4 | so if we change thedelegate tot which is an instance ofThing |
5 | there is no change in the result:name is first resolved on theowner of the closure |
However, it is possible to change the resolution strategy of the closure:
p.pretty.resolveStrategy = Closure.DELEGATE_FIRSTassert p.toString() == 'My name is Teapot'
By changing theresolveStrategy
, we are modifying the way Groovy will resolve the "implicit this" references: in thiscase,name
will first be looked in the delegate, then if not found, on the owner. Sincename
is defined in thedelegate, an instance ofThing
, then this value is used.
The difference between "delegate first" and "delegate only" or "owner first" and "owner only" can be illustrated if oneof the delegate (resp. owner) doesnot have such a method or property:
class Person { String name int age def fetchAge = { age }}class Thing { String name}def p = new Person(name:'Jessica', age:42)def t = new Thing(name:'Printer')def cl = p.fetchAgecl.delegate = passert cl() == 42(1)cl.delegate = tassert cl() == 42(1)cl.resolveStrategy = Closure.DELEGATE_ONLYcl.delegate = passert cl() == 42(2)cl.delegate = ttry { cl()(3) assert false} catch (MissingPropertyException ex) { // "age" is not defined on the delegate}
1 | for "owner first" it doesn’t matter what the delegate is |
2 | for "delegate only" havingp as the delegate succeeds |
3 | for "delegate only" havingt as the delegate fails |
In this example, we define two classes which both have aname
property but only thePerson
class declares anage
.ThePerson
class also declares a closure which referencesage
. We can change the default resolution strategy from"owner first" to "delegate only". Since the owner of the closure is thePerson
class, then we can check that if thedelegate is an instance ofPerson
, calling the closure is successful, but if we call it with a delegate being aninstance ofThing
, it fails with agroovy.lang.MissingPropertyException
. Despite the closure being defined insidethePerson
class, the owner is not used.
A comprehensive explanation about how to use this feature to develop DSLs can be found in adedicated section of the manual. |
When describing the "owner first" delegation strategy we spokeabout using a property/method from the owner if it "existed" otherwiseusing the respective property/method from the delegate. And a similarstory for "delegate first" but in reverse. Instead of using the word"existed", it would have been more accurate to use the wording "handled".That means that for "owner first", if the property/method exists inthe owner, or it has a propertyMissing/methodMissing hook, then the ownerwill handle the member access.
We can see this in action with a slightly altered version of our previous example:
class Person { String name int age def fetchAge = { age }}class Thing { String name def propertyMissing(String name) { -1 }}def p = new Person(name:'Jessica', age:42)def t = new Thing(name:'Printer')def cl = p.fetchAgecl.resolveStrategy = Closure.DELEGATE_FIRSTcl.delegate = passert cl() == 42cl.delegate = tassert cl() == -1
In this example, even though our instance of theThing
class (our delegate for the last use ofcl
) has noage
property,the fact that it handles the missing property via itspropertyMissing
hook,means thatage
will be-1
.
Take the following code:
def x = 1def gs = "x = ${x}"assert gs == 'x = 1'
The code behaves as you would expect, but what happens if you add:
x = 2assert gs == 'x = 2'
You will see that the assert fails! There are two reasons for this:
a GString only evaluates lazily thetoString
representation of values
the syntax${x}
in a GString doesnot represent a closure but anexpression to$x
, evaluated when the GStringis created.
In our example, theGString
is created with an expression referencingx
. When theGString
is created, thevalueofx
is 1, so theGString
is created with a value of 1. When the assert is triggered, theGString
is evaluatedand 1 is converted to aString
usingtoString
. When we changex
to 2, we did change the value ofx
, but it isa different object, and theGString
still references the old one.
AGString will only change itstoString representation if the values it references are mutating. If the referenceschange, nothing will happen. |
If you need a real closure in a GString and for example enforce lazy evaluation of variables, you need to use thealternate syntax${→ x}
like in the fixed example:
def x = 1def gs = "x = ${-> x}"assert gs == 'x = 1'x = 2assert gs == 'x = 2'
And let’s illustrate how it differs from mutation with this code:
class Person { String name String toString() { name }(1)}def sam = new Person(name:'Sam')(2)def lucy = new Person(name:'Lucy')(3)def p = sam(4)def gs = "Name: ${p}"(5)assert gs == 'Name: Sam'(6)p = lucy(7)assert gs == 'Name: Sam'(8)sam.name = 'Lucy'(9)assert gs == 'Name: Lucy'(10)
1 | thePerson class has atoString method returning thename property |
2 | we create a firstPerson namedSam |
3 | we create anotherPerson namedLucy |
4 | thep variable is set toSam |
5 | and a closure is created, referencing the value ofp , that is to saySam |
6 | so when we evaluate the string, it returnsSam |
7 | if we changep toLucy |
8 | the string still evaluates toSam because it was thevalue ofp when theGString was created |
9 | so if we mutateSam to change the name toLucy |
10 | this time theGString is correctly mutated |
So if you don’t want to rely on mutating objects or wrapping objects, youmust use closures inGString
by explicitlydeclaring an empty argument list:
class Person { String name String toString() { name }}def sam = new Person(name:'Sam')def lucy = new Person(name:'Lucy')def p = sam// Create a GString with lazy evaluation of "p"def gs = "Name: ${-> p}"assert gs == 'Name: Sam'p = lucyassert gs == 'Name: Lucy'
Closures can be converted into interfaces or single-abstract method types. Please refer tothis section of the manual for a complete description.
Closures, likelambda expressions in Java 8 are at the core of the functional programming paradigm in Groovy. Some functional programmingoperations on functions are available directly on theClosure
class, like illustrated in this section.
In Groovy, currying refers to the concept of partial application. It doesnot correspond to the real concept of curryingin functional programming because of the different scoping rules that Groovy applies on closures. Currying in Groovy willlet you set the value of one parameter of a closure, and it will return a new closure accepting one less argument.
Left currying is the fact of setting the left-most parameter of a closure, like in this example:
def nCopies = { int n, String str -> str*n }(1)def twice = nCopies.curry(2)(2)assert twice('bla') == 'blabla'(3)assert twice('bla') == nCopies(2, 'bla')(4)
1 | thenCopies closure defines two parameters |
2 | curry will set the first parameter to2 , creating a new closure (function) which accepts a singleString |
3 | so the new function call be called with only aString |
4 | and it is equivalent to callingnCopies with two parameters |
Similarly to left currying, it is possible to set the right-most parameter of a closure:
def nCopies = { int n, String str -> str*n }(1)def blah = nCopies.rcurry('bla')(2)assert blah(2) == 'blabla'(3)assert blah(2) == nCopies(2, 'bla')(4)
1 | thenCopies closure defines two parameters |
2 | rcurry will set the last parameter tobla , creating a new closure (function) which accepts a singleint |
3 | so the new function call be called with only anint |
4 | and it is equivalent to callingnCopies with two parameters |
In case a closure accepts more than 2 parameters, it is possible to set an arbitrary parameter usingncurry
:
def volume = { double l, double w, double h -> l*w*h }(1)def fixedWidthVolume = volume.ncurry(1, 2d)(2)assert volume(3d, 2d, 4d) == fixedWidthVolume(3d, 4d)(3)def fixedWidthAndHeight = volume.ncurry(1, 2d, 4d)(4)assert volume(3d, 2d, 4d) == fixedWidthAndHeight(3d)(5)
1 | thevolume function defines 3 parameters |
2 | ncurry will set the second parameter (index = 1) to2d , creating a new volume function which accepts length and height |
3 | that function is equivalent to callingvolume omitting the width |
4 | it is also possible to set multiple parameters, starting from the specified index |
5 | the resulting function accepts as many parameters as the initial one minus the number of parameters set byncurry |
Memoization allows the result of the call of a closure to be cached. It is interesting if the computation done by afunction (closure) is slow, but you know that this function is going to be called often with the same arguments. Atypical example is the Fibonacci suite. A naive implementation may look like this:
def fibfib = { long n -> n<2?n:fib(n-1)+fib(n-2) }assert fib(15) == 610 // slow!
It is a naive implementation because 'fib' is often called recursively with the same arguments, leading to an exponentialalgorithm:
computingfib(15)
requires the result offib(14)
andfib(13)
computingfib(14)
requires the result offib(13)
andfib(12)
Since calls are recursive, you can already see that we will compute the same values again and again, although they couldbe cached. This naive implementation can be "fixed" by caching the result of calls usingmemoize
:
fib = { long n -> n<2?n:fib(n-1)+fib(n-2) }.memoize()assert fib(25) == 75025 // fast!
The cache worksusing the actual values of the arguments. This means that you should be very careful if you usememoization with something else than primitive or boxed primitive types. |
The behavior of the cache can be tweaked using alternate methods:
memoizeAtMost
will generate a new closure which cachesat mostn values
memoizeAtLeast
will generate a new closure which cachesat leastn values
memoizeBetween
will generate a new closure which cachesat leastn values andat mostn values
The cache used in all memoize variants is an LRU cache.
Closure composition corresponds to the concept of function composition, that is to say creating a new function bycomposing two or more functions (chaining calls), as illustrated in this example:
def plus2 = { it + 2 }def times3 = { it * 3 }def times3plus2 = plus2 << times3assert times3plus2(3) == 11assert times3plus2(4) == plus2(times3(4))def plus2times3 = times3 << plus2assert plus2times3(3) == 15assert plus2times3(5) == times3(plus2(5))// reverse compositionassert times3plus2(3) == (times3 >> plus2)(3)
Recursive algorithms are often restricted by a physical limit: the maximum stack height. For example, if you call a methodthat recursively calls itself too deep, you will eventually receive aStackOverflowException
.
An approach that helps in those situations is by usingClosure
and its trampoline capability.
Closures are wrapped in aTrampolineClosure
. Upon calling, a trampolinedClosure
will call the originalClosure
waitingfor its result. If the outcome of the call is another instance of aTrampolineClosure
, created perhaps as a resultto a call to thetrampoline()
method, theClosure
will again be invoked. This repetitive invocation of returnedtrampolined Closures instances will continue until a value other than a trampolinedClosure
is returned. That valuewill become the final result of the trampoline. That way, calls are made serially, rather than filling the stack.
Here’s an example of the use oftrampoline()
to implement the factorial function:
def factorialfactorial = { int n, def accu = 1G -> if (n < 2) return accu factorial.trampoline(n - 1, n * accu)}factorial = factorial.trampoline()assert factorial(1) == 1assert factorial(3) == 1 * 2 * 3assert factorial(1000) // == 402387260.. plus another 2560 digits
It is often practical to be able to use a regular method as a closure. For example, you might want to use the curryingabilities of a closure, but those are not available to normal methods. In Groovy, you can obtain a closure from anymethod with themethod pointer operator.
This chapter covers the semantics of the Groovy programming language.
Variables can be defined using either their type (likeString
) or by using the keyworddef
(orvar
) followed by a variable name:
String xdef yvar z
def
andvar
act as a type placeholder, i.e. a replacement for the type name,when you do not want to give an explicit type.It could be that you don’t care about the type at compile timeor are relying on type inference (with Groovy’s static nature).It is mandatory for variable definitions to have a type or placeholder.If left out, the type name will be deemed to refer to an existing variable (presumably declared earlier).For scripts, undeclared variables are assumed to come from the Script binding.In other cases, you will get a missing property (dynamic Groovy) or compile time error (static Groovy).If you think ofdef
andvar
as an alias ofObject
, you will understand in an instant.
Variable definitions can provide an initial value,in which case it’s like having a declaration and assignment (which we cover next) all in one.
Variable definition types can be refined by using generics, like inList<String> names .To learn more about the generics support, please read thegenerics section. |
You can assign values to variables for later use. Try the following:
x = 1println xx = new java.util.Date()println xx = -3.1499392println xx = falseprintln xx = "Hi"println x
Groovy supports multiple assignment, i.e. where multiple variables can be assigned at once, e.g.:
def (a, b, c) = [10, 20, 'foo']assert a == 10 && b == 20 && c == 'foo'
You can provide types as part of the declaration if you wish:
def (int i, String j) = [10, 'foo']assert i == 10 && j == 'foo'
As well as used when declaring variables it also applies to existing variables:
def nums = [1, 3, 5]def a, b, c(a, b, c) = numsassert a == 1 && b == 3 && c == 5
The syntax works for arrays as well as lists, as well as methods that return either of these:
def (_, month, year) = "18th June 2009".split()assert "In $month of $year" == 'In June of 2009'
If the left hand side has too many variables, excess ones are filled with null’s:
def (a, b, c) = [1, 2]assert a == 1 && b == 2 && c == null
If the right hand side has too many variables, the extra ones are ignored:
def (a, b) = [1, 2, 3]assert a == 1 && b == 2
In the section describing Groovy’s operators,the case of thesubscript operator has been covered,explaining how you can override thegetAt()
/putAt()
method.
With this technique, we can combine multiple assignments and the subscript operator methods to implementobject destructuring.
Consider the following immutableCoordinates
class, containing a pair of longitude and latitude doubles,and notice our implementation of thegetAt()
method:
@Immutableclass Coordinates { double latitude double longitude double getAt(int idx) { if (idx == 0) latitude else if (idx == 1) longitude else throw new Exception("Wrong coordinate index, use 0 or 1") }}
Now let’s instantiate this class and destructure its longitude and latitude:
def coordinates = new Coordinates(latitude: 43.23, longitude: 3.67)(1)def (la, lo) = coordinates(2)assert la == 43.23(3)assert lo == 3.67
1 | we create an instance of theCoordinates class |
2 | then, we use a multiple assignment to get the individual longitude and latitude values |
3 | and we can finally assert their values. |
Groovy supports the usual if - else syntax from Java
def x = falsedef y = falseif ( !x ) { x = true}assert x == trueif ( x ) { x = false} else { y = true}assert x == y
Groovy also supports the normal Java "nested" if then else if syntax:
if ( ... ) { ...} else if (...) { ...} else { ...}
The switch statement in Groovy is backwards compatible with Java code; so you can fall through cases sharing the same code for multiple matches.
One difference though is that the Groovy switch statement can handle any kind of switch value and different kinds of matching can be performed.
def x = 1.23def result = ""switch (x) { case "foo": result = "found foo" // lets fall through case "bar": result += "bar" case [4, 5, 6, 'inList']: result = "list" break case 12..30: result = "range" break case Integer: result = "integer" break case Number: result = "number" break case ~/fo*/: // toString() representation of x matches the pattern? result = "foo regex" break case { it < 0 }: // or { x < 0 } result = "negative" break default: result = "default"}assert result == "number"
Switch supports the following kinds of comparisons:
Class case values match if the switch value is an instance of the class
Regular expression case values match if thetoString()
representation of the switch value matches the regex
Collection case values match if the switch value is contained in the collection. This also includes ranges (since they are Lists)
Closure case values match if the calling the closure returns a result which is true according to theGroovy truth
If none of the above are used then the case value matches if the case value equals the switch value
When using a closure case value, the defaultit parameter is actually the switch value (in our example, variablex ). |
Groovy also supports switch expressions as shown in the following example:
def partner = switch(person) { case 'Romeo' -> 'Juliet' case 'Adam' -> 'Eve' case 'Antony' -> 'Cleopatra' case 'Bonnie' -> 'Clyde'}
Groovy supports the standard Java / C for loop:
String message = ''for (int i = 0; i < 5; i++) { message += 'Hi '}assert message == 'Hi Hi Hi Hi Hi '
The more elaborate form of Java’s classic for loop with comma-separate expressionsis now supported. Example:
def facts = []def count = 5for (int fact = 1, i = 1; i <= count; i++, fact *= i) { facts << fact}assert facts == [1, 2, 6, 24, 120]
Groovy has supported multi-assignment statements since Groovy 1.6:
// multi-assignment with typesdef (String x, int y) = ['foo', 42]assert "$x $y" == 'foo 42'
These can now appear in for loops:
// multi-assignment goes loopydef baNums = []for (def (String u, int v) = ['bar', 42]; v < 45; u++, v++) { baNums << "$u $v"}assert baNums == ['bar 42', 'bas 43', 'bat 44']
The for loop in Groovy is much simpler and works with any kind of array, collection, Map, etc.
// iterate over a rangedef x = 0for ( i in 0..9 ) { x += i}assert x == 45// iterate over a listx = 0for ( i in [0, 1, 2, 3, 4] ) { x += i}assert x == 10// iterate over an arraydef array = (0..4).toArray()x = 0for ( i in array ) { x += i}assert x == 10// iterate over a mapdef map = ['abc':1, 'def':2, 'xyz':3]x = 0for ( e in map ) { x += e.value}assert x == 6// iterate over values in a mapx = 0for ( v in map.values() ) { x += v}assert x == 6// iterate over the characters in a stringdef text = "abc"def list = []for (c in text) { list.add(c)}assert list == ["a", "b", "c"]
Groovy also supports the Java colon variation with colons:for (char c : text) {} |
Groovy supports the usual while {…} loops like Java:
def x = 0def y = 5while ( y-- > 0 ) { x++}assert x == 5
Java’s class do/while loop is now supported. Example:
// classic Java-style do..while loopdef count = 5def fact = 1do { fact *= count--} while(count > 1)assert fact == 120
Exception handling is the same as Java.
You can specify a completetry-catch-finally
, atry-catch
, or atry-finally
set of blocks.
Braces are required around each block’s body. |
try { 'moo'.toLong() // this will generate an exception assert false // asserting that this point should never be reached} catch ( e ) { assert e in NumberFormatException}
We can put code within a 'finally' clause following a matching 'try' clause, so that regardless of whether the code in the 'try' clause throws an exception, the code in the finally clause will always execute:
def ztry { def i = 7, j = 0 try { def k = i / j assert false //never reached due to Exception in previous line } finally { z = 'reached here' //always executed even if Exception thrown }} catch ( e ) { assert e in ArithmeticException assert z == 'reached here'}
With the multi catch block (since Groovy 2.0), we’re able to define several exceptions to be catch and treated by the same catch block:
try { /* ... */} catch ( IOException | NullPointerException e ) { /* one block to handle 2 exceptions */}
Groovy often provides better alternatives to Java 7’stry
-with-resources statement for Automatic Resource Management (ARM).That syntax is now supported for Java programmers migrating to Groovy and still wanting to use the old style:
class FromResource extends ByteArrayInputStream { @Override void close() throws IOException { super.close() println "FromResource closing" } FromResource(String input) { super(input.toLowerCase().bytes) }}class ToResource extends ByteArrayOutputStream { @Override void close() throws IOException { super.close() println "ToResource closing" }}def wrestle(s) { try ( FromResource from = new FromResource(s) ToResource to = new ToResource() ) { to << from return to.toString() }}def wrestle2(s) { FromResource from = new FromResource(s) try (from; ToResource to = new ToResource()) { // Enhanced try-with-resources in Java 9+ to << from return to.toString() }}assert wrestle("ARM was here!").contains('arm')assert wrestle2("ARM was here!").contains('arm')
Which yields the following output:
ToResource closingFromResource closingToResource closingFromResource closing
Unlike Java with which Groovy shares theassert
keyword, the latter in Groovy behaves very differently. First of all,an assertion in Groovy is always executed, independently of the-ea
flag of the JVM. It makes this a first class choicefor unit tests. The notion of "power asserts" is directly related to how the Groovyassert
behaves.
A power assertion is decomposed into 3 parts:
assert [left expression] == [right expression] : (optional message)
The result of the assertion is very different from what you would get in Java. If the assertion is true, then nothinghappens. If the assertion is false, then it provides a visual representation of the value of each sub-expressions of theexpression being asserted. For example:
assert 1+1 == 3
Will yield:
Caught: Assertion failed:assert 1+1 == 3 | | 2 false
Power asserts become very interesting when the expressions are more complex, like in the next example:
def x = 2def y = 7def z = 5def calc = { a,b -> a*b+1 }assert calc(x,y) == [x,z].sum()
Which will print the value for each sub-expression:
assert calc(x,y) == [x,z].sum() | | | | | | | 15 2 7 | 2 5 7 false
In case you don’t want a pretty printed error message like above, you can fall back to a custom error message bychanging the optional message part of the assertion, like in this example:
def x = 2def y = 7def z = 5def calc = { a,b -> a*b+1 }assert calc(x,y) == z*z : 'Incorrect computation result'
Which will print the following error message:
Incorrect computation result. Expression: (calc.call(x, y) == (z * z)). Values: z = 5, z = 5
Any statement can be associated with a label. Labels do not impact the semantics of the code and can be used to makethe code easier to read like in the following example:
given: def x = 1 def y = 2when: def z = x+ythen: assert z == 3
Despite not changing the semantics of the labelled statement, it is possible to use labels in thebreak
instructionas a target for jump, as in the next example. However, even if this is allowed, this coding style is in general considereda bad practice:
for (int i=0;i<10;i++) { for (int j=0;j<i;j++) { println "j=$j" if (j == 5) { break exit } } exit: println "i=$i"}
It is important to understand that by default labels have no impact on the semantics of the code, however they belong to the abstractsyntax tree (AST) so it is possible for an AST transformation to use that information to perform transformations overthe code, hence leading to different semantics. This is in particular what theSpock Frameworkdoes to make testing easier.
Expressions are the building blocks of Groovy programs that are used to referenceexisting values and execute code to create new ones.
Groovy supports many of the same kinds of expressions as Java, including:
Example expression(s) | Description |
| the name of a variable, field, parameter, … |
| special names |
| literals |
| Class literal |
| parenthesised expressions |
| Unaryoperator expressions |
| Binaryoperator expressions |
| Ternaryoperator expressions |
| Lambda expressions |
| switch expressions |
Groovy also has some of its own special expressions:
Example expression(s) | Description |
| Abbreviated class literal (when not ambiguous) |
| Closure expressions |
| literal list expressions |
| literal map expressions |
Groovy also expands on the normal dot-notation used in Java for member access.Groovy provides special support for accessing hierarchical data structures by specifying thepath in the hierarchy of some data of interest.TheseGroovy path expressions are known as GPath expressions.
GPath
is a path expression language integrated into Groovy which allows parts of nested structured data to be identified. In thissense, it has similar aims and scope as XPath does for XML. GPath is often used in the context of processing XML, but it really appliesto any object graph. Where XPath uses a filesystem-like path notation, a tree hierarchy with parts separated by a slash/
, GPathuse adot-object notation to perform object navigation.
As an example, you can specify a path to an object or element of interest:
a.b.c
→ for XML, yields all thec
elements insideb
insidea
a.b.c
→ for POJOs, yields thec
properties for all theb
properties ofa
(sort of likea.getB().getC()
in JavaBeans)
In both cases, the GPath expression can be viewed as a query on an object graph. For POJOs, the object graph is most often built by theprogram being written through object instantiation and composition; for XML processing, the object graph is the result ofparsing
the XML text, most often with classes like XmlParser or XmlSlurper. SeeProcessing XMLfor more in-depth details on consuming XML in Groovy.
When querying the object graph generated from XmlParser or XmlSlurper, a GPath expression can refer to attributes defined on elements withthe
|
Let’s see an example of a GPath expression on a simpleobject graph, the one obtained using java reflection. Suppose you are in a non-static method of aclass having another method namedaMethodFoo
void aMethodFoo() { println "This is aMethodFoo." }(0)
the following GPath expression will get the name of that method:
assert ['aMethodFoo'] == this.class.methods.name.grep(~/.*Foo/)
More precisely, the above GPath expression produces a list of String, each being the name of an existing method onthis
where that name ends withFoo
.
Now, given the following methods also defined in that class:
void aMethodBar() { println "This is aMethodBar." }(1)void anotherFooMethod() { println "This is anotherFooMethod." }(2)void aSecondMethodBar() { println "This is aSecondMethodBar." }(3)
then the following GPath expression will get the names of(1) and(3), but not(2) or(0):
assert ['aMethodBar', 'aSecondMethodBar'] as Set == this.class.methods.name.grep(~/.*Bar/) as Set
We can decompose the expressionthis.class.methods.name.grep(~/.*Bar/)
to get an idea of how a GPath is evaluated:
this.class
property accessor, equivalent tothis.getClass()
in Java, yields aClass
object.
this.class.methods
property accessor, equivalent tothis.getClass().getMethods()
, yields an array ofMethod
objects.
this.class.methods.name
apply a property accessor on each element of an array and produce a list of the results.
this.class.methods.name.grep(…)
call methodgrep
on each element of the list yielded bythis.class.methods.name
and produce a list of the results.
A sub-expression likethis.class.methods yields an array because this is what callingthis.getClass().getMethods() in Javawould produce.GPath expressions do not have a convention where as means a list or anything like that. |
One powerful feature of GPath expression is that property access on a collection is converted to aproperty access on each element of the collection withthe results collected into a collection. Therefore, the expressionthis.class.methods.name
could be expressed as follows in Java:
List<String> methodNames = new ArrayList<String>();for (Method method : this.getClass().getMethods()) { methodNames.add(method.getName());}return methodNames;
Array access notation can also be used in a GPath expression where a collection is present :
assert 'aSecondMethodBar' == this.class.methods.name.grep(~/.*Bar/).sort()[1]
array access are zero-based in GPath expressions |
Here is an example with an XML document and various form of GPath expressions:
def xmlText = """ | <root> | <level> | <sublevel id='1'> | <keyVal> | <key>mykey</key> | <value>value 123</value> | </keyVal> | </sublevel> | <sublevel id='2'> | <keyVal> | <key>anotherKey</key> | <value>42</value> | </keyVal> | <keyVal> | <key>mykey</key> | <value>fizzbuzz</value> | </keyVal> | </sublevel> | </level> | </root> """def root = new XmlSlurper().parseText(xmlText.stripMargin())assert root.level.size() == 1(1)assert root.level.sublevel.size() == 2(2)assert root.level.sublevel.findAll { it.@id == 1 }.size() == 1(3)assert root.level.sublevel[1].keyVal[0].key.text() == 'anotherKey'(4)
1 | There is onelevel node underroot |
2 | There are twosublevel nodes underroot/level |
3 | There is one elementsublevel having an attributeid with value1 |
4 | Text value ofkey element of firstkeyVal element of secondsublevel element underroot/level is 'anotherKey' |
Further details about GPath expressions for XML are in theXML User Guide.
The rules of number promotion are specified in the section onmath operations.
A SAM type is a type which defines a single abstract method. This includes:
interface Predicate<T> { boolean accept(T obj)}
abstract class Greeter { abstract String getName() void greet() { println "Hello, $name" }}
Any closure can be converted into a SAM type using theas
operator:
Predicate filter = { it.contains 'G' } as Predicateassert filter.accept('Groovy') == trueGreeter greeter = { 'Groovy' } as Greetergreeter.greet()
However, theas Type
expression is optional since Groovy 2.2.0. You can omit it and simply write:
Predicate filter = { it.contains 'G' }assert filter.accept('Groovy') == trueGreeter greeter = { 'Groovy' }greeter.greet()
which means you are also allowed to use method pointers, as shown in the following example:
boolean doFilter(String s) { s.contains('G') }Predicate filter = this.&doFilterassert filter.accept('Groovy') == trueGreeter greeter = GroovySystem.&getVersiongreeter.greet()
The second and probably more important use case for closure to SAM type coercion is calling a method which acceptsa SAM type. Imagine the following method:
public <T> List<T> filter(List<T> source, Predicate<T> predicate) { source.findAll { predicate.accept(it) }}
Then you can call it with a closure, without having to create an explicit implementation of the interface:
assert filter(['Java','Groovy'], { it.contains 'G'} as Predicate) == ['Groovy']
But since Groovy 2.2.0, you are also able to omit the explicit coercion and call the method as if it used a closure:
assert filter(['Java','Groovy']) { it.contains 'G'} == ['Groovy']
As you can see, this has the advantage of letting you use the closure syntax for method calls, that is to say put theclosure outside the parenthesis, improving the readability of your code.
In addition to SAM types, a closure can be coerced to any type and in particular interfaces. Let’s define thefollowing interface:
interface FooBar { int foo() void bar()}
You can coerce a closure into the interface using theas
keyword:
def impl = { println 'ok'; 123 } as FooBar
This produces a class for which all methods are implemented using the closure:
assert impl.foo() == 123impl.bar()
But it is also possible to coerce a closure to any class. For example, we can replace theinterface
that we definedwithclass
without changing the assertions:
class FooBar { int foo() { 1 } void bar() { println 'bar' }}def impl = { println 'ok'; 123 } as FooBarassert impl.foo() == 123impl.bar()
Usually using a single closure to implement an interface or a class with multiple methods is not the way to go. As analternative, Groovy allows you to coerce a map into an interface or a class. In that case, keys of the map areinterpreted as method names, while the values are the method implementation. The following example illustrates thecoercion of a map into anIterator
:
def mapmap = [ i: 10, hasNext: { map.i > 0 }, next: { map.i-- },]def iter = map as Iterator
Of course this is a rather contrived example, but illustrates the concept. You only need to implement those methodsthat are actually called, but if a method is called that doesn’t exist in the map aMissingMethodException
or anUnsupportedOperationException
is thrown, depending on the arguments passed to the call,as in the following example:
interface X { void f() void g(int n) void h(String s, int n)}x = [ f: {println "f called"} ] as Xx.f() // method existsx.g() // MissingMethodException herex.g(5) // UnsupportedOperationException here
The type of the exception depends on the call itself:
MissingMethodException
if the arguments of the call do not match those from the interface/class
UnsupportedOperationException
if the arguments of the call match one of the overloaded methods of the interface/class
Groovy allows transparentString
(orGString
) to enum values coercion. Imagine you define the following enum:
enum State { up, down}
then you can assign a string to the enum without having to use an explicitas
coercion:
State st = 'up'assert st == State.up
It is also possible to use aGString
as the value:
def val = "up"State st = "${val}"assert st == State.up
However, this would throw a runtime error (IllegalArgumentException
):
State st = 'not an enum value'
Note that it is also possible to use implicit coercion in switch statements:
State switchState(State st) { switch (st) { case 'up': return State.down // explicit constant case 'down': return 'up' // implicit coercion for return types }}
in particular, see how thecase
use string constants. But if you call a method that uses an enum with aString
argument, you still have to use an explicitas
coercion:
assert switchState('up' as State) == State.downassert switchState(State.down) == State.up
It is possible for a class to define custom coercion strategies by implementing theasType
method. Custom coercionis invoked using theas
operator and is never implicit. As an example,imagine you defined two classes,Polar
andCartesian
, like in the following example:
class Polar { double r double phi}class Cartesian { double x double y}
And that you want to convert from polar coordinates to cartesian coordinates. One way of doing this is to definetheasType
method in thePolar
class:
def asType(Class target) { if (Cartesian==target) { return new Cartesian(x: r*cos(phi), y: r*sin(phi)) }}
which allows you to use theas
coercion operator:
def sigma = 1E-16def polar = new Polar(r:1.0,phi:PI/2)def cartesian = polar as Cartesianassert abs(cartesian.x-sigma) < sigma
Putting it all together, thePolar
class looks like this:
class Polar { double r double phi def asType(Class target) { if (Cartesian==target) { return new Cartesian(x: r*cos(phi), y: r*sin(phi)) } }}
but it is also possible to defineasType
outside of thePolar
class, which can be practical if you want to definecustom coercion strategies for "closed" classes or classes for which you don’t own the source code, for example usinga metaclass:
Polar.metaClass.asType = { Class target -> if (Cartesian==target) { return new Cartesian(x: r*cos(phi), y: r*sin(phi)) }}
Using theas
keyword is only possible if you have a static reference to a class, like in the following code:
interface Greeter { void greet()}def greeter = { println 'Hello, Groovy!' } as Greeter // Greeter is known staticallygreeter.greet()
But what if you get the class by reflection, for example by callingClass.forName
?
Class clazz = Class.forName('Greeter')
Trying to use the reference to the class with theas
keyword would fail:
greeter = { println 'Hello, Groovy!' } as clazz// throws:// unable to resolve class clazz// @ line 9, column 40.// greeter = { println 'Hello, Groovy!' } as clazz
It is failing because theas
keyword only works with class literals. Instead, you need to call theasType
method:
greeter = { println 'Hello, Groovy!' }.asType(clazz)greeter.greet()
Method calls can omit the parentheses if there is at least one parameter and there is no ambiguity:
println 'Hello World'def maximum = Math.max 5, 10
Parentheses are required for method calls without parameters or ambiguous method calls:
println()println(Math.max(5, 10))
In Groovy semicolons at the end of the line can be omitted, if the line contains only a single statement.
This means that:
assert true;
can be more idiomatically written as:
assert true
Multiple statements in a line require semicolons to separate them:
boolean a = true; assert a
In Groovy, the last expression evaluated in the body of a method or a closure is returned. This means that thereturn
keyword is optional.
int add(int a, int b) { return a+b}assert add(1, 2) == 3
Can be shortened to:
int add(int a, int b) { a+b}assert add(1, 2) == 3
By default, Groovy classes and methods arepublic
. Therefore this class:
public class Server { public String toString() { "a server" }}
is identical to this class:
class Server { String toString() { "a server" }}
Groovy decides whether an expression is true or false by applying the rules given below.
Iterators and Enumerations with further elements are coerced to true.
assert [0].iterator()assert ![].iterator()Vector v = [0] as VectorEnumeration enumeration = v.elements()assert enumerationenumeration.nextElement()assert !enumeration
Non-empty Strings, GStrings and CharSequences are coerced to true.
assert 'a'assert !''def nonEmpty = 'a'assert "$nonEmpty"def empty = ''assert !"$empty"
In order to customize whether groovy evaluates your object totrue
orfalse
implement theasBoolean()
method:
class Color { String name boolean asBoolean(){ name == 'green' ? true : false }}
Groovy will call this method to coerce your object to a boolean value, e.g.:
assert new Color(name: 'green')assert !new Color(name: 'red')
Optional typing is the idea that a program can work even if you don’t put an explicit type on a variable. Being a dynamiclanguage, Groovy naturally implements that feature, for example when you declare a variable:
String aString = 'foo'(1)assert aString.toUpperCase()(2)
1 | foo is declared using an explicit type,String |
2 | we can call thetoUpperCase method on aString |
Groovy will let you write this instead:
def aString = 'foo'(1)assert aString.toUpperCase()(2)
1 | foo is declared usingdef |
2 | we can still call thetoUpperCase method, because the type ofaString is resolved at runtime |
So it doesn’t matter that you use an explicit type here. It is in particular interesting when you combine this featurewithstatic type checking, because the type checker performs type inference.
Likewise, Groovy doesn’t make it mandatory to declare the types of a parameter in a method:
String concat(String a, String b) { a+b}assert concat('foo','bar') == 'foobar'
can be rewritten usingdef
as both return type and parameter types, in order to take advantage of duck typing, asillustrated in this example:
def concat(def a, def b) {(1) a+b}assert concat('foo','bar') == 'foobar'(2)assert concat(1,2) == 3(3)
1 | both the return type and the parameter types usedef |
2 | it makes it possible to use the method withString |
3 | but also withint since theplus method is defined |
Using thedef keyword here is recommended to describe the intent of a method which is supposed to work on anytype, but technically, we could useObject instead and the result would be the same:def is, in Groovy, strictlyequivalent to usingObject . |
Eventually, the type can be removed altogether from both the return type and the descriptor. But if you want to removeit from the return type, you then need to add an explicit modifier for the method, so that the compiler can make a differencebetween a method declaration and a method call, like illustrated in this example:
private concat(a,b) {(1) a+b}assert concat('foo','bar') == 'foobar'(2)assert concat(1,2) == 3(3)
1 | if we want to omit the return type, an explicit modifier has to be set. |
2 | it is still possible to use the method withString |
3 | and also withint |
Omitting types is in general considered a bad practice in method parameters or method return types for public APIs.While usingdef in a local variable is not really a problem because the visibility of the variable is limited to themethod itself, while set on a method parameter,def will be converted toObject in the method signature, making itdifficult for users to know which is the expected type of the arguments. This means that you should limit this to caseswhere you are explicitly relying on duck typing. |
By default, Groovy performs minimal type checking at compile time. Since it is primarily a dynamic language,most checks that a static compiler would normally do aren’t possible at compile time. A method added via runtimemetaprogramming might alter a class or object’s runtime behavior. Let’s illustrate why in thefollowing example:
class Person {(1) String firstName String lastName}def p = new Person(firstName: 'Raymond', lastName: 'Devos')(2)assert p.formattedName == 'Raymond Devos'(3)
1 | thePerson class only defines two properties,firstName andlastName |
2 | we can create an instance of Person |
3 | and call a method namedformattedName |
It is quite common in dynamic languages for code such as the above example not to throw any error. How can this be?In Java, this would typically fail at compile time. However, in Groovy, it will not fail at compile time, and if codedcorrectly, will also not fail at runtime. In fact, to make this work at runtime,one possibility is to rely onruntime metaprogramming. So just adding this line after the declaration of thePerson
class is enough:
Person.metaClass.getFormattedName = { "$delegate.firstName $delegate.lastName" }
This means that in general, in Groovy, you can’t make any assumption about the type of an object beyond its declarationtype, and even if you know it, you can’t determine at compile time what method will be called, or which property willbe retrieved. It has a lot of interest, going from writing DSLs to testing, which is discussed in other sections of thismanual.
However, if your program doesn’t rely on dynamic features and that you come from the static world (in particular, froma Java mindset), not catching such "errors" at compile time can be surprising. As we have seen in the previous example,the compiler cannot be sure this is an error. To make it aware that it is, you have to explicitly instruct the compilerthat you are switching to a type checked mode. This can be done by annotating a class or a method with@groovy.transform.TypeChecked
.
When type checking is activated, the compiler performs much more work:
type inference is activated, meaning that even if you usedef
on a local variable for example, the type checker will beable to infer the type of the variable from the assignments
method calls are resolved at compile time, meaning that if a method is not declared on a class, the compiler will throw an error
in general, all the compile time errors that you are used to find in a static language will appear: method not found, property not found,incompatible types for method calls, number precision errors, …
In this section, we will describe the behavior of the type checker in various situations and explain the limits of using@TypeChecked
on your code.
@TypeChecked
annotationThegroovy.transform.TypeChecked
annotation enables type checking. It can be placed on a class:
@groovy.transform.TypeCheckedclass Calculator { int sum(int x, int y) { x+y }}
Or on a method:
class Calculator { @groovy.transform.TypeChecked int sum(int x, int y) { x+y }}
In the first case, all methods, properties, fields, inner classes, … of the annotated class will be type checked, whereasin the second case, only the method and potential closures or anonymous inner classes that it contains will be type checked.
The scope of type checking can be restricted. For example, if a class is type checked, you can instruct the type checkerto skip a method by annotating it with@TypeChecked(TypeCheckingMode.SKIP)
:
import groovy.transform.TypeCheckedimport groovy.transform.TypeCheckingMode@TypeChecked(1)class GreetingService { String greeting() {(2) doGreet() } @TypeChecked(TypeCheckingMode.SKIP)(3) private String doGreet() { def b = new SentenceBuilder() b.Hello.my.name.is.John(4) b }}def s = new GreetingService()assert s.greeting() == 'Hello my name is John'
1 | theGreetingService class is marked as type checked |
2 | so thegreeting method is automatically type checked |
3 | butdoGreet is marked withSKIP |
4 | the type checker doesn’t complain about missing properties here |
In the previous example,SentenceBuilder
relies on dynamic code. There’s no realHello
method or property, so thetype checker would normally complain and compilation would fail. Since the method that uses the builder is marked withTypeCheckingMode.SKIP
, type checking isskipped for this method, so the code will compile, even if the rest of theclass is type checked.
The following sections describe the semantics of type checking in Groovy.
An objecto
of typeA
can be assigned to a variable of typeT
if and only if:
T
equalsA
Date now = new Date()
orT
is one ofString
,boolean
,Boolean
orClass
String s = new Date() // implicit call to toStringBoolean boxed = 'some string' // Groovy truthboolean prim = 'some string' // Groovy truthClass clazz = 'java.lang.String' // class coercion
oro
is null andT
is not a primitive type
String s = null // passesint i = null // fails
orT
is an array andA
is an array and the component type ofA
is assignable to the component type ofT
int[] i = new int[4] // passesint[] i = new String[4] // fails
orT
is an array andA
is a collection or stream and the component type ofA
is assignable to the component type ofT
int[] i = [1,2,3] // passesint[] i = [1,2, new Date()] // failsSet set = [1,2,3]Number[] na = set // passesdef stream = Arrays.stream(1,2,3)int[] i = stream // passes
orT
is a superclass ofA
AbstractList list = new ArrayList() // passesLinkedList list = new ArrayList() // fails
orT
is an interface implemented byA
List list = new ArrayList() // passesRandomAccess list = new LinkedList() // fails
orT
orA
are a primitive type and their boxed types are assignable
int i = 0Integer bi = 1int x = Integer.valueOf(123)double d = Float.valueOf(5f)
orT
extendsgroovy.lang.Closure
andA
is a SAM-type (single abstract method type)
Runnable r = { println 'Hello' }interface SAMType { int doSomething()}SAMType sam = { 123 }assert sam.doSomething() == 123abstract class AbstractSAM { int calc() { 2* value() } abstract int value()}AbstractSAM c = { 123 }assert c.calc() == 246
orT
andA
derive fromjava.lang.Number
and conform to the following table
T | A | Examples |
---|---|---|
Double | Any but BigDecimal or BigInteger |
|
Float | Any type but BigDecimal, BigInteger or Double |
|
Long | Any type but BigDecimal, BigInteger, Double or Float |
|
Integer | Any type but BigDecimal, BigInteger, Double, Float or Long |
|
Short | Any type but BigDecimal, BigInteger, Double, Float, Long or Integer |
|
Byte | Byte |
|
In addition to the assignment rules above, if an assignment is deemed invalid, in type checked mode, alist literal or amap literalA
can be assignedto a variable of typeT
if:
the assignment is a variable declaration andA
is a list literal andT
has a constructor whose parameters match the types of the elements in the list literal
the assignment is a variable declaration andA
is a map literal andT
has a no-arg constructor and a property for each of the map keys
For example, instead of writing:
@groovy.transform.TupleConstructorclass Person { String firstName String lastName}Person classic = new Person('Ada','Lovelace')
You can use a "list constructor":
Person list = ['Ada','Lovelace']
or a "map constructor":
Person map = [firstName:'Ada', lastName:'Lovelace']
If you use a map constructor, additional checks are done on the keys of the map to check if a property of the same nameis defined. For example, the following will fail at compile time:
@groovy.transform.TupleConstructorclass Person { String firstName String lastName}Person map = [firstName:'Ada', lastName:'Lovelace', age: 24](1)
1 | The type checker will throw an errorNo such property: age for class: Person at compile time |
In type checked mode, methods are resolved at compile time. Resolution works by name and arguments. The return type isirrelevant to method selection. Types of arguments are matched against the types of the parameters following those rules:
An argumento
of typeA
can be used for a parameter of typeT
if and only if:
T
equalsA
int sum(int x, int y) { x+y}assert sum(3,4) == 7
orT
is aString
andA
is aGString
String format(String str) { "Result: $str"}assert format("${3+4}") == "Result: 7"
oro
is null andT
is not a primitive type
String format(int value) { "Result: $value"}assert format(7) == "Result: 7"format(null) // fails
orT
is an array andA
is an array and the component type ofA
is assignable to the component type ofT
String format(String[] values) { "Result: ${values.join(' ')}"}assert format(['a','b'] as String[]) == "Result: a b"format([1,2] as int[]) // fails
orT
is a superclass ofA
String format(AbstractList list) { list.join(',')}format(new ArrayList()) // passesString format(LinkedList list) { list.join(',')}format(new ArrayList()) // fails
orT
is an interface implemented byA
String format(List list) { list.join(',')}format(new ArrayList()) // passesString format(RandomAccess list) { 'foo'}format(new LinkedList()) // fails
orT
orA
are a primitive type and their boxed types are assignable
int sum(int x, Integer y) { x+y}assert sum(3, new Integer(4)) == 7assert sum(new Integer(3), 4) == 7assert sum(new Integer(3), new Integer(4)) == 7assert sum(new Integer(3), 4) == 7
orT
extendsgroovy.lang.Closure
andA
is a SAM-type (single abstract method type)
interface SAMType { int doSomething()}int twice(SAMType sam) { 2*sam.doSomething() }assert twice { 123 } == 246abstract class AbstractSAM { int calc() { 2* value() } abstract int value()}int eightTimes(AbstractSAM sam) { 4*sam.calc() }assert eightTimes { 123 } == 984
orT
andA
derive fromjava.lang.Number
and conform to the same rules asassignment of numbers
If a method with the appropriate name and arguments is not found at compile time, an error is thrown. The difference with "normal" Groovy isillustrated in the following example:
class MyService { void doSomething() { printLine 'Do something'(1) }}
1 | printLine is an error, but since we’re in a dynamic mode, the error is not caught at compile time |
The example above shows a class that Groovy will be able to compile. However, if you try to create an instance ofMyService
and call thedoSomething
method, then it will failat runtime, becauseprintLine
doesn’t exist. Of course, we already showed how Groovy could makethis a perfectly valid call, for example by catchingMethodMissingException
or implementing a custom metaclass, but if you know you’renot in such a case,@TypeChecked
comes handy:
@groovy.transform.TypeCheckedclass MyService { void doSomething() { printLine 'Do something'(1) }}
1 | printLine is this time a compile-time error |
Just adding@TypeChecked
will trigger compile time method resolution. The type checker will try to find a methodprintLine
acceptingaString
on theMyService
class, but cannot find one. It will fail compilation with the following message:
Cannot find matching method MyService#printLine(java.lang.String)
It is important to understand the logic behind the type checker: it is a compile-time check, so by definition, the type checkeris not aware of any kind ofruntime metaprogramming that you do. This means that code which is perfectly valid without@TypeChecked willnot compile anymore if you activate type checking. This is in particular true if you think of duck typing: |
class Duck { void quack() {(1) println 'Quack!' }}class QuackingBird { void quack() {(2) println 'Quack!' }}@groovy.transform.TypeCheckedvoid accept(quacker) { quacker.quack()(3)}accept(new Duck())(4)
1 | we define aDuck class which defines aquack method |
2 | we define anotherQuackingBird class which also defines aquack method |
3 | quacker is loosely typed, so since the method is@TypeChecked , we will obtain a compile-time error |
4 | even if in non type-checked Groovy, this would have passed |
There are possible workarounds, like introducing an interface, but basically, by activating type checking, you gain type safetybut you loose some features of the language. Hopefully, Groovy introduces some features like flow typing to reduce the gap betweentype-checked and non type-checked Groovy.
When code is annotated with@TypeChecked
, the compiler performs type inference. It doesn’t simply rely on static types, but also uses varioustechniques to infer the types of variables, return types, literals, … so that the code remains as clean as possible even if you activate thetype checker.
The simplest example is inferring the type of a variable:
def message = 'Welcome to Groovy!'(1)println message.toUpperCase()(2)println message.upper() // compile time error(3)
1 | a variable is declared using thedef keyword |
2 | callingtoUpperCase is allowed by the type checker |
3 | callingupper will fail at compile time |
The reason the call totoUpperCase
works is because the type ofmessage
wasinferred as being aString
.
It is worth noting that although the compiler performs type inference on local variables, it doesnot perform any kindof type inference on fields, always falling back to thedeclared type of a field. To illustrate this, let’s take alook at this example:
class SomeClass { def someUntypedField(1) String someTypedField(2) void someMethod() { someUntypedField = '123'(3) someUntypedField = someUntypedField.toUpperCase() // compile-time error(4) } void someSafeMethod() { someTypedField = '123'(5) someTypedField = someTypedField.toUpperCase()(6) } void someMethodUsingLocalVariable() { def localVariable = '123'(7) someUntypedField = localVariable.toUpperCase()(8) }}
1 | someUntypedField usesdef as a declaration type |
2 | someTypedField usesString as a declaration type |
3 | we can assignanything tosomeUntypedField |
4 | yet callingtoUpperCase fails at compile time because the field is not typed properly |
5 | we can assign aString to a field of typeString |
6 | and this timetoUpperCase is allowed |
7 | if we assign aString to a local variable |
8 | then callingtoUpperCase is allowed on the local variable |
Why such a difference? The reason isthread safety. At compile time, we can’t makeany guarantee about the type ofa field. Any thread can access any field at any time and between the moment a field is assigned a variable of sometype in a method and the time is used the line after, another thread may have changed the contents of the field. Thisis not the case for local variables: we know if they "escape" or not, so we can make sure that the type of a variable isconstant (or not) over time. Note that even if a field is final, the JVM makes no guarantee about it, so the type checkerdoesn’t behave differently if a field is final or not.
This is one of the reasons why we recommend to usetyped fields. While usingdef for local variables is perfectlyfine thanks to type inference, this is not the case for fields, which also belong to the public API of a class, hence thetype is important. |
Groovy provides a syntax for various type literals. There are three native collection literals in Groovy:
lists, using the[]
literal
maps, using the[:]
literal
ranges, usingfrom..to
(inclusive),from..<to
(right exclusive),from<..to
(left exclusive) andfrom<..<to
(full exclusive)
The inferred type of a literal depends on the elements of the literal, as illustrated in the following table:
Literal | Inferred type |
---|---|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
As you can see, with the noticeable exception of theIntRange
, the inferred type makes use of generics types to describethe contents of a collection. In case the collection contains elements of different types, the type checker still performstype inference of the components, but uses the notion ofleast upper bound.
In Groovy, theleast upper bound of two typesA
andB
is defined as a type which:
superclass corresponds to the common super class ofA
andB
interfaces correspond to the interfaces implemented by bothA
andB
ifA
orB
is a primitive type and thatA
isn’t equal toB
, the least upper bound ofA
andB
is the leastupper bound of their wrapper types
IfA
andB
only have one (1) interface in common and that their common superclass isObject
, then the LUB of bothis the common interface.
The least upper bound represents the minimal type to which bothA
andB
can be assigned. So for example, ifA
andB
are bothString
, then the LUB (least upper bound) of both is alsoString
.
class Top {}class Bottom1 extends Top {}class Bottom2 extends Top {}assert leastUpperBound(String, String) == String(1)assert leastUpperBound(ArrayList, LinkedList) == AbstractList(2)assert leastUpperBound(ArrayList, List) == List(3)assert leastUpperBound(List, List) == List(4)assert leastUpperBound(Bottom1, Bottom2) == Top(5)assert leastUpperBound(List, Serializable) == Object(6)
1 | the LUB ofString andString isString |
2 | the LUB ofArrayList andLinkedList is their common super type,AbstractList |
3 | the LUB ofArrayList andList is their only common interface,List |
4 | the LUB of two identical interfaces is the interface itself |
5 | the LUB ofBottom1 andBottom2 is their superclassTop |
6 | the LUB of two types which have nothing in common isObject |
In those examples, the LUB is always representable as a normal, JVM supported, type. But Groovy internally represents the LUBas a type which can be more complex, and that you wouldn’t be able to use to define a variable for example. To illustrate this,let’s continue with this example:
interface Foo {}class Top {}class Bottom extends Top implements Serializable, Foo {}class SerializableFooImpl implements Serializable, Foo {}
What is the least upper bound ofBottom
andSerializableFooImpl
? They don’t have a common super class (apart fromObject
),but they do share 2 interfaces (Serializable
andFoo
), so their least upper bound is a type which represents the union oftwo interfaces (Serializable
andFoo
). This type cannot be defined in the source code, yet Groovy knows about it.
In the context of collection type inference (and generic type inference in general), this becomes handy, because the type of thecomponents is inferred as the least upper bound. We can illustrate why this is important in the following example:
interface Greeter { void greet() }(1)interface Salute { void salute() }(2)class A implements Greeter, Salute {(3) void greet() { println "Hello, I'm A!" } void salute() { println "Bye from A!" }}class B implements Greeter, Salute {(4) void greet() { println "Hello, I'm B!" } void salute() { println "Bye from B!" } void exit() { println 'No way!' }(5)}def list = [new A(), new B()](6)list.each { it.greet()(7) it.salute()(8) it.exit()(9)}
1 | theGreeter interface defines a single method,greet |
2 | theSalute interface defines a single method,salute |
3 | classA implements bothGreeter andSalute but there’s no explicit interface extending both |
4 | same forB |
5 | butB defines an additionalexit method |
6 | the type oflist is inferred as "list of the LUB ofA and `B`" |
7 | so it is possible to callgreet which is defined on bothA andB through theGreeter interface |
8 | and it is possible to callsalute which is defined on bothA andB through theSalute interface |
9 | yet callingexit is a compile time error because it doesn’t belong to the LUB ofA andB (only defined inB ) |
The error message will look like:
[Static type checking] - Cannot find matching method Greeter or Salute#exit()
which indicates that theexit
method is neither defines onGreeter
norSalute
, which are the two interfaces definedin the least upper bound ofA
andB
.
In normal, non type checked, Groovy, you can write things like:
class Greeter { String greeting() { 'Hello' }}void doSomething(def o) { if (o instanceof Greeter) {(1) println o.greeting()(2) }}doSomething(new Greeter())
1 | guard the method call with aninstanceof check |
2 | make the call |
The method call works because of dynamic dispatch (the method is selected at runtime). The equivalent code in Java wouldrequire to casto
to aGreeter
before calling thegreeting
method, because methods are selected at compile time:
if (o instanceof Greeter) { System.out.println(((Greeter)o).greeting());}
However, in Groovy, even if you add@TypeChecked
(and thus activate type checking) on thedoSomething
method, thecast isnot necessary. The compiler embedsinstanceof inference that makes the cast optional.
Flow typing is an important concept of Groovy in type checked mode and an extension of type inference. The idea is thatthe compiler is capable of inferring the type of variables in the flow of the code, not just at initialization:
@groovy.transform.TypeCheckedvoid flowTyping() { def o = 'foo'(1) o = o.toUpperCase()(2) o = 9d(3) o = Math.sqrt(o)(4)}
1 | first,o is declared usingdef and assigned aString |
2 | the compiler inferred thato is aString , so callingtoUpperCase is allowed |
3 | o is reassigned with adouble |
4 | callingMath.sqrt passes compilation because the compiler knows that at this point,o is adouble |
So the type checker isaware of the fact that the concrete type of a variable is different over time. In particular,if you replace the last assignment with:
o = 9do = o.toUpperCase()
The type checker will now fail at compile time, because it knows thato
is adouble
whentoUpperCase
is called,so it’s a type error.
It is important to understand that it is not the fact of declaring a variable withdef
that triggers type inference.Flow typing works forany variable of any type. Declaring a variable with an explicit type only constrains what youcan assign to the variable:
@groovy.transform.TypeCheckedvoid flowTypingWithExplicitType() { List list = ['a','b','c'](1) list = list*.toUpperCase()(2) list = 'foo'(3)}
1 | list is declared as an uncheckedList and assigned a list literal of `String`s |
2 | this line passes compilation because of flow typing: the type checker knows thatlist is at this point aList<String> |
3 | but you can’t assign aString to aList so this is a type checking error |
You can also note that even if the variable is declaredwithout generics information, the type checker knows what isthe component type. Therefore, such code would fail compilation:
@groovy.transform.TypeCheckedvoid flowTypingWithExplicitType() { List list = ['a','b','c'](1) list.add(1)(2)}
1 | list is inferred asList<String> |
2 | so adding anint to aList<String> is a compile-time error |
Fixing this requires adding an explicit generic type to the declaration:
@groovy.transform.TypeCheckedvoid flowTypingWithExplicitType() { List<? extends Serializable> list = [](1) list.addAll(['a','b','c'])(2) list.add(1)(3)}
1 | list declared asList<? extends Serializable> and initialized with an empty list |
2 | elements added to the list conform to the declaration type of the list |
3 | so adding anint to aList<? extends Serializable> is allowed |
Flow typing has been introduced to reduce the difference in semantics between classic and static Groovy. In particular,consider the behavior of this code in Java:
public Integer compute(String str) { return str.length();}public String compute(Object o) { return "Nope";}// ...Object string = "Some string";(1)Object result = compute(string);(2)System.out.println(result);(3)
1 | o is declared as anObject and assigned aString |
2 | we call thecompute method witho |
3 | and print the result |
In Java, this code will outputNope
, because method selection is done at compile time and based on thedeclared types.So even ifo
is aString
at runtime, it is still theObject
version which is called, becauseo
has been declaredas anObject
. To be short, in Java, declared types are most important, be it variable types, parameter types or returntypes.
In Groovy, we could write:
int compute(String string) { string.length() }String compute(Object o) { "Nope" }Object o = 'string'def result = compute(o)println result
But this time, it will return6
, because the method which is chosenat runtime, based on theactualargument types. So at runtime,o
is aString
so theString
variant is used. Note that this behavior has nothingto do with type checking, it’s the way Groovy works in general: dynamic dispatch.
In type checked Groovy, we want to make sure the type checker selects the same methodat compile time, that the runtimewould choose. It is not possible in general, due to the semantics of the language, but we can make things better with flowtyping. With flow typing,o
isinferred as aString
when thecompute
method is called, so the version which takesaString
and returns anint
is chosen. This means that we can infer the return type of the method to be anint
, andnot aString
. This is important for subsequent calls and type safety.
So in type checked Groovy, flow typing is a very important concept, which also implies that if@TypeChecked
is applied,methods are selected based on theinferred types of the arguments, not on the declared types. This doesn’t ensure 100%type safety, because the type checkermay select a wrong method, but it ensures the closest semantics to dynamic Groovy.
A combination offlow typing andleast upper bound inference is used to performadvanced type inference and ensure type safety in multiple situations. In particular, program control structures arelikely to alter the inferred type of a variable:
class Top { void methodFromTop() {}}class Bottom extends Top { void methodFromBottom() {}}def oif (someCondition) { o = new Top()(1)} else { o = new Bottom()(2)}o.methodFromTop()(3)o.methodFromBottom() // compilation error(4)
1 | ifsomeCondition is true,o is assigned aTop |
2 | ifsomeCondition is false,o is assigned aBottom |
3 | callingmethodFromTop is safe |
4 | but callingmethodFromBottom is not, so it’s a compile time error |
When the type checker visits anif/else
control structure, it checks all variables which are assigned inif/else
branchesand computes theleast upper bound of all assignments. This type is the type of the inferred variableafter theif/else
block, so in this example,o
is assigned aTop
in theif
branch and aBottom
in theelse
branch. TheLUB of those is aTop
, so after the conditional branches, the compiler inferso
as beingaTop
. CallingmethodFromTop
will therefore be allowed, but notmethodFromBottom
.
The same reasoning exists with closures and in particular closure shared variables. A closure shared variable is a variablewhich is defined outside of a closure, but used inside a closure, as in this example:
def text = 'Hello, world!'(1)def closure = { println text(2)}
1 | a variable namedtext is declared |
2 | text is used from inside a closure. It is aclosure shared variable. |
Groovy allows developers to use those variables without requiring them to be final. This means that a closure sharedvariable can be reassigned inside a closure:
String resultdoSomething { String it -> result = "Result: $it"}result = result?.toUpperCase()
The problem is that a closure is an independent block of code that can be executed (or not) atany time. In particular,doSomething
may be asynchronous, for example. This means that the body of a closure doesn’t belong to the main controlflow. For that reason, the type checker also computes, for each closure shared variable, theLUB of allassignments of the variable, and will use thatLUB
as the inferred type outside of the scope of the closure, like inthis example:
class Top { void methodFromTop() {}}class Bottom extends Top { void methodFromBottom() {}}def o = new Top()(1)Thread.start { o = new Bottom()(2)}o.methodFromTop()(3)o.methodFromBottom() // compilation error(4)
1 | a closure-shared variable is first assigned aTop |
2 | inside the closure, it is assigned aBottom |
3 | methodFromTop is allowed |
4 | methodFromBottom is a compilation error |
Here, it is clear that whenmethodFromBottom
is called, there’s no guarantee, at compile-time or runtime that thetype ofo
willeffectively be aBottom
. There are chances that it will be, but we can’t make sure, because it’sasynchronous. So the type checker will only allow calls on theleast upper bound, which is here aTop
.
The type checker performs special inference on closures, resulting on additional checks on one side and improved fluencyon the other side.
The first thing that the type checker is capable of doing is inferring thereturn type of a closure. This is simply illustrated in the following example:
@groovy.transform.TypeCheckedint testClosureReturnTypeInference(String arg) { def cl = { "Arg: $arg" }(1) def val = cl()(2) val.length()(3)}
1 | a closure is defined, and it returns a string (more precisely aGString ) |
2 | we call the closure and assign the result to a variable |
3 | the type checker inferred that the closure would return a string, so callinglength() is allowed |
As you can see, unlike a method which declares its return type explicitly, there’s no need to declare the return typeof a closure: its type is inferred from the body of the closure.
It’s worth noting that return type inference is only applicable to closures. While the type checker could do thesame on a method, it is in practice not desirable:in general, methods can be overridden and it is not staticallypossible to make sure that the method which is called is not an overridden version. So flow typing would actuallythink that a method returns something, while in reality, it could return something else, like illustrated in thefollowing example:
@TypeCheckedclass A { def compute() { 'some string' }(1) def computeFully() { compute().toUpperCase()(2) }}@TypeCheckedclass B extends A { def compute() { 123 }(3)}
1 | classA defines a methodcompute which effectively returns aString |
2 | this will fail compilation because the return type ofcompute isdef (akaObject ) |
3 | classB extendsA and redefinescompute , this type returning anint |
As you can see, if the type checker relied on the inferred return type of a method, withflow typing,the type checker could determine that it is ok to calltoUpperCase
. It is in fact anerror, because a subclass canoverridecompute
and return a different object. Here,B#compute
returns anint
, so someone callingcomputeFully
on an instance ofB
would see a runtime error. The compiler prevents this from happening by using the declared returntype of methods instead of the inferred return type.
For consistency, this behavior is the same forevery method, even if they are static or final.
In addition to the return type, it is possible for a closure to infer its parameter types from the context. There aretwo ways for the compiler to infer the parameter types:
throughimplicit SAM type coercion
through API metadata
To illustrate this, lets start with an example that will fail compilation due to the inability for the type checkerto infer the parameter types:
class Person { String name int age}void inviteIf(Person p, Closure<Boolean> predicate) {(1) if (predicate.call(p)) { // send invite // ... }}@groovy.transform.TypeCheckedvoid failCompilation() { Person p = new Person(name: 'Gerard', age: 55) inviteIf(p) {(2) it.age >= 18 // No such property: age(3) }}
1 | theinviteIf method accepts aPerson and aClosure |
2 | we call it with aPerson and aClosure |
3 | yetit is not statically known as being aPerson and compilation fails |
In this example, the closure body containsit.age
. With dynamic, not type checked code, this would work, because thetype ofit
would be aPerson
at runtime. Unfortunately, at compile-time, there’s no way to know what is the typeofit
, just by reading the signature ofinviteIf
.
To be short, the type checker doesn’t have enough contextual information on theinviteIf
method to determine staticallythe type ofit
. This means that the method call needs to be rewritten like this:
inviteIf(p) { Person it ->(1) it.age >= 18}
1 | the type ofit needs to be declared explicitly |
By explicitly declaring the type of theit
variable, you can work around the problem and make this code staticallychecked.
For an API or framework designer, there are two ways to make this more elegant for users, so that they don’t have todeclare an explicit type for the closure parameters. The first one, and easiest, is to replace the closure with aSAM type:
interface Predicate<On> { boolean apply(On e) }(1)void inviteIf(Person p, Predicate<Person> predicate) {(2) if (predicate.apply(p)) { // send invite // ... }}@groovy.transform.TypeCheckedvoid passesCompilation() { Person p = new Person(name: 'Gerard', age: 55) inviteIf(p) {(3) it.age >= 18(4) }}
1 | declare aSAM interface with anapply method |
2 | inviteIf now uses aPredicate<Person> instead of aClosure<Boolean> |
3 | there’s no need to declare the type of theit variable anymore |
4 | it.age compiles properly, the type ofit is inferred from thePredicate#apply method signature |
By using this technique, we leverage theautomatic coercion of closures to SAM types feature of Groovy.Whether you should use aSAM type or aClosure really depends on what you need to do. In a lot of cases,using a SAM interface is enough, especially if you consider functional interfaces as they are found in Java 8. However,closures provide features that are not accessible to functional interfaces. In particular, closures can have a delegate,and owner and can be manipulated as objects (for example, cloned, serialized, curried, …) before being called. They canalso support multiple signatures (polymorphism). So if you need that kind of manipulation, it is preferable to switch tothe most advanced type inference annotations which are described below. |
The original issue that needs to be solved when it comes to closure parameter type inference, that is to say, staticallydetermining the types of the arguments of a closurewithout having to have them explicitly declared, is that the Groovytype system inherits the Java type system, which is insufficient to describe the types of the arguments.
@ClosureParams
annotationGroovy provides an annotation,@ClosureParams
which is aimed at completing type information. This annotation is primarilyaimed at framework and API developers who want to extend the capabilities of the type checker by providing type inferencemetadata. This is important if your library makes use of closures and that you want the maximum level of tooling supporttoo.
Let’s illustrate this by fixing the original example, introducing the@ClosureParams
annotation:
import groovy.transform.stc.ClosureParamsimport groovy.transform.stc.FirstParamvoid inviteIf(Person p, @ClosureParams(FirstParam) Closure<Boolean> predicate) {(1) if (predicate.call(p)) { // send invite // ... }}inviteIf(p) {(2) it.age >= 18}
1 | the closure parameter is annotated with@ClosureParams |
2 | it’s not necessary to use an explicit type forit , which is inferred |
The@ClosureParams
annotation minimally accepts one argument, which is named atype hint. A type hint is a class whichis responsible for completing type information at compile time for the closure. In this example, the type hint being usedisgroovy.transform.stc.FirstParam
which indicated to the type checker that the closure will accept one parameterwhose type is the type of the first parameter of the method. In this case, the first parameter of the method isPerson
,so it indicates to the type checker that the first parameter of the closure is in fact aPerson
.
A second optional argument is namedoptions. Its semantics depend on thetype hint class. Groovy comes withvarious bundled type hints, illustrated in the table below:
Type hint | Polymorphic? | Description and examples |
---|---|---|
| No | The first (resp. second, third) parameter type of the method
|
| No | The first generic type of the first (resp. second, third) parameter of the method
Variants for |
| No | A type hint for which the type of closure parameters comes from the options string.
This type hint supports asingle signature and each of the parameter is specified as a value of theoptions arrayusing a fully-qualified type name or a primitive type. |
| Yes | A dedicated type hint for closures that either work on a
This type hintrequires that the first argument is a |
| Yes | Infers closure parameter types from the abstract method of some type. A signature is inferred foreach abstract method.
If there are multiple signatures like in the example above, the type checker willonly be able to infer the types ofthe arguments if the arity of each method is different. In the example above, |
| Yes | Infers the closure parameter types from the A single signature for a closure accepting a
A polymorphic closure, accepting either a
A polymorphic closure, accepting either a
|
Even though you useFirstParam ,SecondParam orThirdParam as a type hint, it doesn’t strictly mean that theargument which will be passed to the closurewill be the first (resp. second, third) argument of the method call. Itonly means that thetype of the parameter of the closure will be thesame as the type of the first (resp. second, third) argument of the method call. |
In short, the lack of the@ClosureParams
annotation on a method accepting aClosure
willnot fail compilation. If present (and it can be present in Java sources as well as Groovy sources), then the type checker hasmore information and can perform additional type inference. This makes this feature particularly interesting for framework developers.
A third optional argument is namedconflictResolutionStrategy. It can reference a class (extending fromClosureSignatureConflictResolver
) that can perform additional resolution of parameter types if more thanone are found after initial inference calculations are complete. Groovy comes with a default type resolverwhich does nothing, and another which selects the first signature if multiple are found. The resolver isonly invoked if more than one signature is found and is by design a post processor. Any statements which needinjected typing information must pass one of the parameter signatures determined through type hints. Theresolver then picks among the returned candidate signatures.
@DelegatesTo
The@DelegatesTo
annotation is used by the type checker to infer the type of the delegate. It allows the API designerto instruct the compiler what is the type of the delegate and the delegation strategy. The@DelegatesTo
annotation isdiscussed in aspecific section.
In thetype checking section, we have seen that Groovy provides optional type checking thanks to the@TypeChecked
annotation. The type checker runs at compile time and performs a static analysis of dynamic code. Theprogram will behave exactly the same whether type checking has been enabled or not. This means that the@TypeChecked
annotation is neutral in regard to the semantics of a program. Even though it may be necessary to add type informationin the sources so that the program is considered type safe, in the end, the semantics of the program are the same.
While this may sound fine, there is actually one issue with this: type checking of dynamic code, done at compile time, isby definition only correct if no runtime specific behavior occurs. For example, the following program passes type checking:
class Computer { int compute(String str) { str.length() } String compute(int x) { String.valueOf(x) }}@groovy.transform.TypeCheckedvoid test() { def computer = new Computer() computer.with { assert compute(compute('foobar')) =='6' }}
There are twocompute
methods. One accepts aString
and returns anint
, the other accepts anint
and returnsaString
. If you compile this, it is considered type safe: the innercompute('foobar')
call will return anint
,and callingcompute
on thisint
will in turn return aString
.
Now, before callingtest()
, consider adding the following line:
Computer.metaClass.compute = { String str -> new Date() }
Using runtime metaprogramming, we’re actually modifying the behavior of thecompute(String)
method, so that instead ofreturning the length of the provided argument, it will return aDate
. If you execute the program, it will fail atruntime. Since this line can be added from anywhere, in any thread, there’s absolutely no way for the type checker tostatically make sure that no such thing happens. In short, the type checker is vulnerable to monkey patching. This isjust one example, but this illustrates the concept that doing static analysis of a dynamic program is inherently wrong.
The Groovy language provides an alternative annotation to@TypeChecked
which will actually make sure that the methodswhich are inferred as being calledwill effectively be called at runtime. This annotation turns the Groovy compilerinto astatic compiler, where all method calls are resolved at compile timeand the generated bytecode makes surethat this happens: the annotation is@groovy.transform.CompileStatic
.
@CompileStatic
annotationThe@CompileStatic
annotation can be added anywhere the@TypeChecked
annotation can be used, that is to say ona class or a method. It is not necessary to add both@TypeChecked
and@CompileStatic
, as@CompileStatic
performseverything@TypeChecked
does, but in addition triggers static compilation.
Let’s take theexample which failed, but this time let’s replace the@TypeChecked
annotationwith@CompileStatic
:
class Computer { int compute(String str) { str.length() } String compute(int x) { String.valueOf(x) }}@groovy.transform.CompileStaticvoid test() { def computer = new Computer() computer.with { assert compute(compute('foobar')) =='6' }}Computer.metaClass.compute = { String str -> new Date() }test()
This is theonly difference. If we execute this program, this time, there is no runtime error. Thetest
methodbecame immune to monkey patching, because thecompute
methods which are called in its body are linked at compiletime, so even if the metaclass ofComputer
changes, the program still behavesas expected by the type checker.
There are several benefits of using@CompileStatic
on your code:
type safety
immunity tomonkey patching
performance improvements
The performance improvements depend on the kind of program you are executing. If it is I/O bound, the difference betweenstatically compiled code and dynamic code is barely noticeable. On highly CPU intensive code, since the bytecode whichis generated is very close, if not equal, to the one that Java would produce for an equivalent program, the performanceis greatly improved.
Using theinvokedynamic version of Groovy, which is accessible to people using JDK 7 and above, the performanceof the dynamic code should be very close to the performance of statically compiled code. Sometimes, it can even be faster!There is only one way to determine which version you should choose: measuring. The reason is that depending on your programand the JVM that you use, the performance can be significantly different. In particular, theinvokedynamic version ofGroovy is very sensitive to the JVM version in use. |
Despite being a dynamic language, Groovy can be used with astatic type checkerat compile time, enabled using the@TypeChecked
annotation. In this mode, thecompiler becomes more verbose and throws errors for, example, typos, non-existentmethods, etc. This comes with a few limitations though, most of them coming fromthe fact that Groovy remains inherently a dynamic language. For example, youwouldn’t be able to use type checking on code that uses the markup builder:
def builder = new MarkupBuilder(out)builder.html { head { // ... } body { p 'Hello, world!' }}
In the previous example, none of thehtml
,head
,body
orp
methodsexist. However if you execute the code, it works because Groovy uses dynamic dispatchand converts those method calls at runtime. In this builder, there’s no limitation aboutthe number of tags that you can use, nor the attributes, which means there is no chancefor a type checker to know about all the possible methods (tags) at compile time, unlessyou create a builder dedicated to HTML for example.
Groovy is a platform of choice when it comes to implement internal DSLs. The flexible syntax,combined with runtime and compile-time metaprogramming capabilities make Groovy an interestingchoice because it allows the programmer to focus on the DSL rather thanon tooling or implementation. Since Groovy DSLs are Groovy code, it’seasy to have IDE support without having to write a dedicated plugin forexample.
In a lot of cases, DSL engines are written in Groovy (or Java) then usercode is executed as scripts, meaning that you have some kind of wrapperon top of user logic. The wrapper may consist, for example, in aGroovyShell
orGroovyScriptEngine
that performs some tasks transparentlybefore running the script (adding imports, applying AST transforms,extending a base script,…). Often, user written scripts come toproduction without testing because the DSL logic comes to a pointwhere any user may write code using the DSL syntax. In the end, a usermay just ignore that what they write is actually code. This adds somechallenges for the DSL implementer, such as securing execution of usercode or, in this case, early reporting of errors.
For example, imagine a DSL which goal is to drive a rover on Marsremotely. Sending a message to the rover takes around 15 minutes. If therover executes the script and fails with an error (say a typo), you havetwo problems:
first, feedback comes only after 30 minutes (the time needed for therover to get the script and the time needed to receive the error)
second, some portion of the script has been executed and you may haveto change the fixed script significantly (implying that you need to knowthe current state of the rover…)
Type checking extensions is a mechanism that willallow the developer of a DSL engine to make those scripts safer byapplying the same kind of checks that static type checking allows onregular groovy classes.
The principle, here, is to fail early, that isto say fail compilation of scripts as soon as possible, and if possibleprovide feedback to the user (including nice error messages).
In short, the idea behind type checking extensions is to make the compileraware of all the runtime metaprogramming tricks that the DSL uses, so thatscripts can benefit the same level of compile-time checks as a verbose staticallycompiled code would have. We will see that you can go even further by performingchecks that a normal type checker wouldn’t do, delivering powerful compile-timechecks for your users.
The @TypeChecked
annotation supports an attributenamed extensions
. This parameter takes an array of stringscorresponding to a list oftype checking extensions scripts. Thosescripts are found at compile time on classpath. For example, you wouldwrite:
@TypeChecked(extensions='/path/to/myextension.groovy')void foo() { ...}
In that case, the foo methods would be type checked with the rules ofthe normal type checker completed by those found inthe myextension.groovy script. Note that while internally the typechecker supports multiple mechanisms to implement type checkingextensions (including plain old java code), the recommended way is touse those type checking extension scripts.
The idea behind type checking extensions is to use a DSL to extend thetype checker capabilities. This DSL allows you to hook into thecompilation process, more specifically the type checking phase, using an"event-driven" API. For example, when the type checker enters a methodbody, it throws a beforeVisitMethod event that the extension can react to:
beforeVisitMethod { methodNode -> println "Entering ${methodNode.name}"}
Imagine that you have this rover DSL at hand. A user would write:
robot.move 100
If you have a class defined as such:
class Robot { Robot move(int qt) { this }}
The script can be type checked before being executed using the followingscript:
def config = new CompilerConfiguration()config.addCompilationCustomizers( new ASTTransformationCustomizer(TypeChecked)(1))def shell = new GroovyShell(config)(2)def robot = new Robot()shell.setVariable('robot', robot)shell.evaluate(script)(3)
1 | a compiler configuration adds the@TypeChecked annotation to all classes |
2 | use the configuration in aGroovyShell |
3 | so that scripts compiled using the shell are compiled with@TypeChecked without the user having to add it explicitly |
Using the compiler configuration above, we can apply @TypeCheckedtransparently to the script. In that case, it will fail at compiletime:
[Static type checking] - The variable [robot] is undeclared.
Now, we will slightly update the configuration to include the``extensions'' parameter:
config.addCompilationCustomizers( new ASTTransformationCustomizer( TypeChecked, extensions:['robotextension.groovy']))
Then add the following to your classpath:
unresolvedVariable { var -> if ('robot'==var.name) { storeType(var, classNodeFor(Robot)) handled = true }}
Here, we’re telling the compiler that if anunresolved variable is foundand that the name of the variable is robot, then we can make sure that the type of thisvariable isRobot
.
The type checking API is a low level API, dealing with the AbstractSyntax Tree. You will have to know your AST well to develop extensions,even if the DSL makes it much easier than just dealing with AST codefrom plain Java or Groovy.
The type checker sends the following events, to which an extensionscript can react:
Event name | setup |
Called When | Called after the type checker finished initialization |
Arguments | none |
Usage |
Can be used to perform setup of your extension |
Event name | finish |
Called When | Called after the type checker completed type checking |
Arguments | none |
Usage |
Can be used to perform additional checks after the type checker has finished its job. |
Event name | unresolvedVariable |
Called When | Called when the type checker finds an unresolved variable |
Arguments | VariableExpression vexp |
Usage |
Allows the developer to help the type checker with user-injected variables. |
Event name | unresolvedProperty |
Called When | Called when the type checker cannot find a property on the receiver |
Arguments | PropertyExpression pexp |
Usage |
Allows the developer to handle "dynamic" properties |
Event name | unresolvedAttribute |
Called When | Called when the type checker cannot find an attribute on the receiver |
Arguments | AttributeExpression aexp |
Usage |
Allows the developer to handle missing attributes |
Event name | beforeMethodCall |
Called When | Called before the type checker starts type checking a method call |
Arguments | MethodCall call |
Usage |
Allows you to intercept method calls before thetype checker performs its own checks. This is useful if you want toreplace the default type checking with a custom one for a limited scope.In that case, you must set the handled flag to true, so that the typechecker skips its own checks. |
Event name | afterMethodCall |
Called When | Called once the type checker has finished type checking a method call |
Arguments | MethodCall call |
Usage |
Allow you to perform additional checks after the typechecker has done its own checks. This is in particular useful if youwant to perform the standard type checking tests but also want to ensureadditional type safety, for example checking the arguments against eachother.Note that |
Event name | onMethodSelection |
Called When | Called by the type checker when it finds a method appropriate for a method call |
Arguments | Expression expr, MethodNode node |
Usage |
The type checker works by inferringargument types of a method call, then chooses a target method. If itfinds one that corresponds, then it triggers this event. It is forexample interesting if you want to react on a specific method call, suchas entering the scope of a method that takes a closure as argument (asin builders).Please note that this event may be thrown for various typesof expressions, not only method calls (binary expressions for example). |
Event name | methodNotFound |
Called When | Called by the type checker when it fails to find an appropriate method for a method call |
Arguments | ClassNode receiver, String name, ArgumentListExpression argList, ClassNode[] argTypes,MethodCall call |
Usage |
Unlike |
Event name | beforeVisitMethod |
Called When | Called by the type checker before type checking a method body |
Arguments | MethodNode node |
Usage |
The type checker will call this method beforestarting to type check a method body. If you want, for example, toperform type checking by yourself instead of letting the type checker doit, you have to set the handled flag to true. This event can also be usedto help define the scope of your extension (for example, applying itonly if you are inside method foo). |
Event name | afterVisitMethod |
Called When | Called by the type checker after type checking a method body |
Arguments | MethodNode node |
Usage |
Gives you the opportunity to perform additionalchecks after a method body is visited by the type checker. This isuseful if you collect information, for example, and want to performadditional checks once everything has been collected. |
Event name | beforeVisitClass |
Called When | Called by the type checker before type checking a class |
Arguments | ClassNode node |
Usage |
If a class is type checked, thenbefore visiting the class, this event will be sent. It is also the casefor inner classes defined inside a class annotated with |
Event name | afterVisitClass |
Called When | Called by the type checker after having finished the visit of a type checked class |
Arguments | ClassNode node |
Usage |
Calledfor every class being type checked after the type checker finished itswork. This includes classes annotated with |
Event name | incompatibleAssignment |
Called When | Called when the type checker thinks that an assignment is incorrect, meaning that the right-hand side of an assignment is incompatible with the left-hand side |
Arguments | ClassNode lhsType, ClassNode rhsType, Expression assignment |
Usage |
Gives thedeveloper the ability to handle incorrect assignments. This is forexample useful if a class overrides |
Event name | incompatibleReturnType |
Called When | Called when the type checker thinks that a return value is incompatibe with the return type of the enclosing closure or method |
Arguments | ReturnStatement statement, ClassNode valueType |
Usage |
Gives the developer the ability to handle incorrect return values. This is forexample useful when the return value will undergo implicit conversion or theenclosing closure’s target type is difficult to infer properly. In that case,you can help the type checker just by telling it that the assignment is valid(by setting the |
Event name | ambiguousMethods |
Called When | Called when the type checker cannot choose between several candidate methods |
Arguments | List<MethodNode> methods, Expression origin |
Usage |
Gives thedeveloper the ability to handle incorrect assignments. This is forexample useful if a class overrides |
Of course, an extension script may consist of several blocks, and youcan have multiple blocks responding to the same event. This makes theDSL look nicer and easier to write. However, reacting to events is farfrom sufficient. If you know you can react to events, you also need todeal with the errors, which implies severalhelper methods that willmake things easier.
The DSL relies on a support class called org.codehaus.groovy.transform.stc.GroovyTypeCheckingExtensionSupport .This class itself extends org.codehaus.groovy.transform.stc.TypeCheckingExtension .Those two classes define a number ofhelper methods that will make workingwith the AST easier, especially regarding type checking. One interestingthing to know is that you have access to the type checker. This meansthat you can programmatically call methods of the type checker,including those that allow you tothrow compilation errors.
The extension script delegates to the org.codehaus.groovy.transform.stc.GroovyTypeCheckingExtensionSupport class,meaning that you have direct access to the following variables:
context: the type checker context, of type org.codehaus.groovy.transform.stc.TypeCheckingContext
typeCheckingVisitor: the type checker itself, a org.codehaus.groovy.transform.stc.StaticTypeCheckingVisitor instance
generatedMethods: a list of "generated methods", which is in fact the list of "dummy" methods that you can createinside a type checking extension using the newMethod
calls
The type checking context contains a lot of information that is usefulin context for the type checker. For example, the current stack ofenclosing method calls, binary expressions, closures, … This informationis in particular important if you have to knowwhere you are when anerror occurs and that you want to handle it.
In addition to facilities provided byGroovyTypeCheckingExtensionSupport
andStaticTypeCheckingVisitor
,a type-checking DSL script imports static members fromorg.codehaus.groovy.ast.ClassHelper andorg.codehaus.groovy.transform.stc.StaticTypeCheckingSupport granting access to common types viaOBJECT_TYPE
,STRING_TYPE
,THROWABLE_TYPE
, etc. and checks likemissesGenericsTypes(ClassNode)
,isClassClassNodeWrappingConcreteType(ClassNode)
and so on.
Handling class nodes is something that needs particular attention whenyou work with a type checking extension. Compilation works with anabstract syntax tree (AST) and the tree may not be complete when you aretype checking a class. This also means that when you refer to types, youmust not use class literals such as String
or HashSet
, but to classnodes representing those types. This requires a certain level ofabstraction and understanding how Groovy deals with class nodes. To makethings easier, Groovy supplies several helper methods to deal with classnodes. For example, if you want to say "the type for String", you canwrite:
assert classNodeFor(String) instanceof ClassNode
You would also note that there is a variant of classNodeFor that takesa String
as an argument, instead of a Class
. In general, youshould not use that one, because it would create a class node forwhich the name isString
, but without any method, any property, …defined on it. The first version returns a class node that is resolvedbut the second one returns one that is not. So the latter should bereserved for very special cases.
The second problem that you might encounter is referencing a type whichis not yet compiled. This may happen more often than you think. Forexample, when you compile a set of files together. In that case, if youwant to say "that variable is of type Foo" butFoo
is not yetcompiled, you can still refer to theFoo
class nodeusing lookupClassNodeFor
:
assert lookupClassNodeFor('Foo') instanceof ClassNode
Say that you know that variable foo
is of type Foo
and you want totell the type checker about it. Then you can use the storeType
method,which takes two arguments: the first one is the node for which you wantto store the type and the second one is the type of the node. If youlook at the implementation of storeType
, you would see that itdelegates to the type checker equivalent method, which itself does a lotof work to store node metadata. You would also see that storing the typeis not limited to variables: you can set the type of any expression.
Likewise, getting the type of an AST node is just a matter ofcalling getType
on that node. This would in general be what you want,but there’s something that you must understand:
getType
returns the inferred type of an expression. This meansthat it will not return, for a variable declared of type Object
theclass node for Object
, but the inferred type of this variable at thispoint of the code (flow typing)
if you want to access the origin type of a variable (orfield/parameter), then you must call the appropriate method on the ASTnode
To throw a type checking error, you only have to call theaddStaticTypeError
method which takes two arguments:
a message which is a string that will be displayed to the end user
anAST node responsible for the error. It’s better to provide the bestsuiting AST node because it will be used to retrieve the line and columnnumbers
It is often required to know the type of an AST node. For readability,the DSL provides a special isXXXExpression method that will delegate tox instance of XXXExpression
. For example, instead of writing:
if (node instanceof BinaryExpression) { ...}
you can just write:
if (isBinaryExpression(node)) { ...}
When you perform type checking of dynamic code, you may often face thecase when you know that a method call is valid but there is no "real"method behind it. As an example, take the Grails dynamic finders. Youcan have a method call consisting of a method named findByName(…). Asthere’s no findByName method defined in the bean, the type checkerwould complain. Yet, you would know that this method wouldn’t fail atruntime, and you can even tell what is the return type of this method.For this case, the DSL supports two special constructs that consist ofphantom methods. This means that you will return a method node thatdoesn’t really exist but is defined in the context of type checking.Three methods exist:
newMethod(String name, Class returnType)
newMethod(String name, ClassNode returnType)
newMethod(String name, Callable<ClassNode> return Type)
All three variants do the same: they create a new method node which nameis the supplied name and define the return type of this method.Moreover, the type checker would add those methods inthe generatedMethods
list (see isGenerated
below). The reason why weonly set a name and a return type is that it is only what you need in90% of the cases. For example, in the findByName
example upper, theonly thing you need to know is that findByName
wouldn’t fail atruntime, and that it returns a domain class. The Callable
version ofreturn type is interesting because it defers the computation of thereturn type when the type checker actually needs it. This is interestingbecause in some circumstances, you may not know the actual return typewhen the type checker demands it, so you can use a closure that will becalled each time getReturnType
is called by the type checker on thismethod node. If you combine this with deferred checks, you can achievepretty complex type checking including handling of forward references.
newMethod(name) { // each time getReturnType on this method node will be called, this closure will be called! println 'Type checker called me!' lookupClassNodeFor(Foo) // return type}
Should you need more than the name and return type, you can alwayscreate a new MethodNode
by yourself.
Scoping is very important in DSL type checking and is one of the reasonswhy we couldn’t use a pointcut based approach to DSL type checking.Basically, you must be able to define very precisely when your extensionapplies and when it does not. Moreover, you must be able to handlesituations that a regular type checker would not be able to handle, suchas forward references:
point a(1,1)line a,b // b is referenced afterwards!point b(5,2)
Say for example that you want to handle a builder:
builder.foo { bar baz(bar)}
Your extension, then, should only be active once you’ve enteredthe foo
method, and inactive outside this scope. But you could havecomplex situations like multiple builders in the same file or embeddedbuilders (builders in builders). While you should not try to fix allthis from start (you must accept limitations to type checking), the typechecker does offer a nice mechanism to handle this: a scoping stack,using the newScope
and scopeExit
methods.
newScope
creates a new scope and puts it on top of the stack
scopeExits
pops a scope from the stack
A scope consists of:
a parent scope
a map of custom data
If you want to look at the implementation, it’s simply aLinkedHashMap
(org.codehaus.groovy.transform.stc.GroovyTypeCheckingExtensionSupport.TypeCheckingScope),but it’s quite powerful. For example, you can use such a scope to storea list of closures to be executed when you exit the scope. This is howyou would handle forward references:
def scope = newScope()scope.secondPassChecks = []//...scope.secondPassChecks << { println 'executed later' }// ...scopeExit { secondPassChecks*.run() // execute deferred checks}
That is to say, that if at some point you are not able to determine thetype of an expression, or that you are not able to check at this pointthat an assignment is valid or not, you can still make the check later…This is a very powerful feature. Now, newScope
and scopeExit
provide some interesting syntactic sugar:
newScope { secondPassChecks = []}
At anytime in the DSL, you can access the current scopeusing getCurrentScope()
or more simply currentScope
:
//...currentScope.secondPassChecks << { println 'executed later' }// ...
The general schema would then be:
determine apointcut where you push a new scope on stack andinitialize custom variables within this scope
using the various events, you can use the information stored in yourcustom scope to perform checks, defer checks,…
determine apointcut where you exit the scope, call scopeExit
and eventually perform additional checks
For the complete list of helper methods, please refer tothe org.codehaus.groovy.transform.stc.GroovyTypeCheckingExtensionSupport and org.codehaus.groovy.transform.stc.TypeCheckingExtension classes. However,take special attention to those methods:
isDynamic
: takes a VariableExpression as argument and returns trueif the variable is a DynamicExpression, which means, in a script, thatit wasn’t defined using a type ordef
.
isGenerated
: takes a MethodNode as an argument and tells if themethod is one that was generated by the type checker extension usingthe newMethod
method
isAnnotatedBy
: takes an AST node and a Class (or ClassNode), andtells if the node is annotated with this class. For example:isAnnotatedBy(node, NotNull)
getTargetMethod
: takes a method call as argument and returnsthe MethodNode
that the type checker has determined for it
delegatesTo
: emulates the behaviour of the @DelegatesTo
annotation. It allows you to tell that the argument will delegate to aspecific type (you can also specify the delegation strategy)
All the examples above use type checking scripts. They are found in source form in classpath, meaning that:
a Groovy source file, corresponding to the type checking extension, is available on compilation classpath
this file is compiled by the Groovy compiler for each source unit being compiled (often, a source unit correspondsto a single file)
It is a very convenient way to develop type checking extensions, however it implies a slower compilation phase, becauseof the compilation of the extension itself for each file being compiled. For those reasons, it can be practical to relyon a precompiled extension. You have two options to do this:
write the extension in Groovy, compile it, then use a reference to the extension class instead of the source
write the extension in Java, compile it, then use a reference to the extension class
Writing a type checking extension in Groovy is the easiest path. Basically, the idea is that the type checking extensionscript becomes the body of the main method of a type checking extension class, as illustrated here:
import org.codehaus.groovy.transform.stc.GroovyTypeCheckingExtensionSupportclass PrecompiledExtension extends GroovyTypeCheckingExtensionSupport.TypeCheckingDSL {(1) @Override Object run() {(2) unresolvedVariable { var -> if ('robot'==var.name) { storeType(var, classNodeFor(Robot))(3) handled = true } } }}
1 | extending theTypeCheckingDSL class is the easiest |
2 | then the extension code needs to go inside therun method |
3 | and you can use the very same events as an extension written in source form |
Setting up the extension is very similar to using a source form extension:
config.addCompilationCustomizers( new ASTTransformationCustomizer( TypeChecked, extensions:['typing.PrecompiledExtension']))
The difference is that instead of using a path in classpath, you just specify the fully qualified class name of theprecompiled extension.
In case you really want to write an extension in Java, then you will not benefit from the type checking extension DSL.The extension above can be rewritten in Java this way:
import org.codehaus.groovy.ast.ClassHelper;import org.codehaus.groovy.ast.expr.VariableExpression;import org.codehaus.groovy.transform.stc.AbstractTypeCheckingExtension;import org.codehaus.groovy.transform.stc.StaticTypeCheckingVisitor;public class PrecompiledJavaExtension extends AbstractTypeCheckingExtension {(1) public PrecompiledJavaExtension(final StaticTypeCheckingVisitor typeCheckingVisitor) { super(typeCheckingVisitor); } @Override public boolean handleUnresolvedVariableExpression(final VariableExpression vexp) {(2) if ("robot".equals(vexp.getName())) { storeType(vexp, ClassHelper.make(Robot.class)); setHandled(true); return true; } return false; }}
1 | extend theAbstractTypeCheckingExtension class |
2 | then override thehandleXXX methods as required |
It is totally possible to use the@Grab
annotation in a type checking extension.This means you can include libraries that would only beavailable at compile time. In that case, you must understand that youwould increase the time of compilation significantly (at least, thefirst time it grabs the dependencies).
A type checking extension is just a script that need to be on classpath. As such,you can share it as is, or bundle it in a jar file that would be added to classpath.
While you can configure the compiler to transparently add type checking extensions to yourscript, there is currently no way to apply an extension transparently just by having it onclasspath.
Type checking extensions are used with@TypeChecked
but can also be used with@CompileStatic
. However, you mustbe aware that:
a type checking extension used with@CompileStatic
will in general not be sufficient to let the compiler know howto generate statically compilable code from "unsafe" code
it is possible to use a type checking extension with@CompileStatic
just to enhance type checking, that is to sayintroducemore compilation errors, without actually dealing with dynamic code
Let’s explain the first point, which is that even if you use an extension, the compiler will not know how to compileyour code statically: technically, even if you tell the type checker what is the type of a dynamicvariable, for example, it would not know how to compile it. Is itgetBinding('foo')
,getProperty('foo')
,delegate.getFoo()
,…? There’s absolutely no direct way to tell the static compiler how to compile suchcode even if you use a type checking extension (that would, again, only give hints about the type).
One possible solution for this particular example is to instruct the compiler to usemixed mode compilation.The more advanced one is to useAST transformations during type checking but it is far morecomplex.
Type checking extensions allow you to help the type checker where itfails, but it also allows you to fail where it doesn’t. In that context,it makes sense to support extensions for @CompileStatic
too. Imaginean extension that is capable of type checking SQL queries. In that case,the extension would be valid in both dynamic and static context, becausewithout the extension, the code would still pass.
In the previous section, we highlighted the fact that you can activate type checking extensions with@CompileStatic
. In that context, the type checker would not complain anymore about some unresolved variables orunknown method calls, but it would still wouldn’t know how to compile them statically.
Mixed mode compilation offers a third way, which is to instruct the compiler that whenever an unresolved variableor method call is found, then it should fall back to a dynamic mode. This is possible thanks to type checking extensionsand a specialmakeDynamic
call.
To illustrate this, let’s come back to theRobot
example:
robot.move 100
And let’s try to activate our type checking extension using@CompileStatic
instead of@TypeChecked
:
def config = new CompilerConfiguration()config.addCompilationCustomizers( new ASTTransformationCustomizer( CompileStatic,(1) extensions:['robotextension.groovy'])(2))def shell = new GroovyShell(config)def robot = new Robot()shell.setVariable('robot', robot)shell.evaluate(script)
1 | Apply@CompileStatic transparently |
2 | Activate the type checking extension |
The script will run fine because the static compiler is told about the type of therobot
variable, so it is capableof making a direct call tomove
. But before that, how did the compiler know how to get therobot
variable? In factby default, in a type checking extension, settinghandled=true
on an unresolved variable will automatically triggera dynamic resolution, so in this case you don’t have anything special to make the compiler use a mixed mode. However,let’s slightly update our example, starting from the robot script:
move 100
Here you can notice that there is no reference torobot
anymore. Our extension will not help then because we will notbe able to instruct the compiler thatmove
is done on aRobot
instance. This example of code can be executed in atotally dynamic way thanks to the help of agroovy.util.DelegatingScript:
def config = new CompilerConfiguration()config.scriptBaseClass = 'groovy.util.DelegatingScript'(1)def shell = new GroovyShell(config)def runner = shell.parse(script)(2)runner.setDelegate(new Robot())(3)runner.run()(4)
1 | we configure the compiler to use aDelegatingScript as the base class |
2 | the script source needs to be parsed and will return an instance ofDelegatingScript |
3 | we can then callsetDelegate to use aRobot as the delegate of the script |
4 | then execute the script.move will be directly executed on the delegate |
If we want this to pass with@CompileStatic
, we have to use a type checking extension, so let’s update our configuration:
config.addCompilationCustomizers( new ASTTransformationCustomizer( CompileStatic,(1) extensions:['robotextension2.groovy'])(2))
1 | apply@CompileStatic transparently |
2 | use an alternate type checking extension meant to recognize the call tomove |
Then in the previous section we have learnt how to deal with unrecognized method calls, so we are able to write thisextension:
methodNotFound { receiver, name, argList, argTypes, call -> if (isMethodCallExpression(call)(1) && call.implicitThis(2) && 'move'==name(3) && argTypes.length==1(4) && argTypes[0] == classNodeFor(int)(5) ) { handled = true(6) newMethod('move', classNodeFor(Robot))(7) }}
1 | if the call is a method call (not a static method call) |
2 | that this call is made on "implicit this" (no explicitthis. ) |
3 | that the method being called ismove |
4 | and that the call is done with a single argument |
5 | and that argument is of typeint |
6 | then tell the type checker that the call is valid |
7 | and that the return type of the call isRobot |
If you try to execute this code, then you could be surprised that it actually fails at runtime:
java.lang.NoSuchMethodError: java.lang.Object.move()Ltyping/Robot;
The reason is very simple: while the type checking extension is sufficient for@TypeChecked
, which does not involvestatic compilation, it is not enough for@CompileStatic
which requires additional information. In this case, you toldthe compiler that the method existed, but you didn’t explain to itwhat method it is in reality, and what is thereceiver of the message (the delegate).
Fixing this is very easy and just implies replacing thenewMethod
call with something else:
methodNotFound { receiver, name, argList, argTypes, call -> if (isMethodCallExpression(call) && call.implicitThis && 'move'==name && argTypes.length==1 && argTypes[0] == classNodeFor(int) ) { makeDynamic(call, classNodeFor(Robot))(1) }}
1 | tell the compiler that the call should be make dynamic |
ThemakeDynamic
call does 3 things:
it returns a virtual method just likenewMethod
automatically sets thehandled
flag totrue
for you
but also marks thecall
to be done dynamically
So when the compiler will have to generate bytecode for the call tomove
, since it is now marked as a dynamic call,it will fall back to the dynamic compiler and let it handle the call. And since the extension tells us that the returntype of the dynamic call is aRobot
, subsequent calls will be done statically!
Some would wonder why the static compiler doesn’t do this by default without an extension. It is a design decision:
if the code is statically compiled, we normally want type safety and best performance
so if unrecognized variables/method calls are made dynamic, you loose type safety, but also all support for typos atcompile time!
In short, if you want to have mixed mode compilation, ithas to be explicit, through a type checking extension, sothat the compiler, and the designer of the DSL, are totally aware of what they are doing.
makeDynamic
can be used on 3 kind of AST nodes:
a method node (MethodNode
)
a variable (VariableExpression
)
a property expression (PropertyExpression
)
If that is not enough, then it means that static compilation cannot be done directly and that you have to rely on ASTtransformations.
Type checking extensions look very attractive from an AST transformation design point of view: extensions have accessto context like inferred types, which is often nice to have. And an extension has a direct access to the abstractsyntax tree. Since you have access to the AST, there is nothing in theory that preventsyou from modifying the AST. However, we do not recommend you to do so, unless you are an advanced AST transformationdesigner and well aware of the compiler internals:
First of all, you would explicitly break the contract of type checking, which is to annotate,and only annotate the AST. Type checking should not modify the AST tree because you wouldn’t be able toguarantee anymore that code without the @TypeChecked annotationbehaves the same without the annotation.
If your extension is meant to work with @CompileStatic, then you can modify the AST becausethis is indeed what @CompileStatic will eventually do. Static compilation doesn’t guarantee the same semantics atdynamic Groovy so there is effectively a difference between code compiled with @CompileStatic and code compiledwith @TypeChecked. It’s up to you to choose whatever strategy you want to update the AST, but probablyusing an AST transformation that runs before type checking is easier.
if you cannot rely on a transformation that kicks in before the type checker, then you must bevery careful
The type checking phase is the last phase running in the compiler before bytecode generation. All other ASTtransformations run before that and the compiler does a very good job at "fixing" incorrect AST generated before thetype checking phase. As soon as you perform a transformation during type checking, for example directly in a typechecking extension, then you have to do all this work of generating a 100% compiler compliant abstract syntax tree byyourself, which can easily become complex. That’s why we do not recommend to go that way if you are beginning withtype checking extensions and AST transformations. |
Examples of real life type checking extensions are easy to find. You can download the source code for Groovy andtake a look at theTypeCheckingExtensionsTestclass which is linked tovarious extension scripts.
An example of a complex type checking extension can be found in theMarkup Template Enginesource code: this template engine relies on a type checking extension and AST transformations to transform templates intofully statically compiled code. Sources for this can be foundhere.
groovy
invokes the Groovy command line processor. It allows you to run inline Groovy expressions, and scripts, tests or application within groovy files.It plays a similar role tojava
in the Java world but handles inline scripts and rather than invoking class files, it is normally called with scriptsand will automatically call the Groovy compiler as needed.
The easiest way to run a Groovy script, test or application is to run the following command at your shell prompt:
> groovy MyScript.groovy
The.groovy
part is optional. Thegroovy
command supports a number of command line switches:
Short version | Long version | Description | Example |
---|---|---|---|
-a | --autosplit <splitPattern> | split lines using splitPattern (default '\s') using implicit 'split' variable | |
-b | --basescript <class> | Base class name for scripts (must derive from Script) | |
-c | --encoding <charset> | specify the encoding of the files | |
-cp <path> | -classpath <path> | Specify the compilation classpath. Must be the first argument. | groovy -cp lib/dep.jar MyScript |
--configscript <path> | Advanced compiler configuration script | groovy --configscript config/config.groovy src/Person.groovy | |
-D | --define <name=value> | define a system property | |
-d | --debug | debug mode will print out full stack traces | |
--disableopt <optlist> | disables one or all optimization elements. | ||
-e <script> | specify an inline command line script | groovy -e "println new Date()" | |
-h | --help | Displays usage information for the command line groovy command | groovy --help |
-i <extension> | modify files in place; create backup if extension is given (e.g. '.bak') | ||
-l <port> | listen on a port and process inbound lines (default: 1960) | ||
-n | process files line by line using implicit 'line' variable | ||
-p | process files line by line and print result (see also -n) | ||
-v | --version | display the Groovy and JVM versions | groovy -v |
-pa | --parameters | Generates metadata for reflection on method parameter names on JDK 8 and above. Defaults to false. | groovy --parameters Person.groovy |
-pr | --enable-preview | Enable preview Java features (jdk12+ only). | groovy --enable-preview Person.groovy |
groovyc
is the Groovy compiler command line tool. It allows you to compile Groovy sources into bytecode. It playsthe same role asjavac
in the Java world. The easiest way to compile a Groovy script or class is to run the following command:
groovyc MyClass.groovy
This will produce aMyClass.class
file (as well as other .class files depending on the contents of the source).groovyc
supportsa number of command line switches:
Short version | Long version | Description | Example |
---|---|---|---|
-cp | -classpath, --classpath | Specify the compilation classpath. Must be the first argument. | groovyc -cp lib/dep.jar MyClass.groovy |
--sourcepath | Directory where to find source files. Not used anymore. Specifying this parameter will have no effect. | ||
--temp | Temporary directory for the compiler | ||
--encoding | Encoding of the source files | groovyc --encoding utf-8 script.groovy | |
--help | Displays help for the command line groovyc tool | groovyc --help | |
-d | Specify where to place generated class files. | groovyc -d target Person.groovy | |
-v | --version | Displays the compiler version | groovyc -v |
-e | --exception | Displays the stack trace in case of compilation error | groovyc -e script.groovy |
-j | --jointCompilation* | Enables joint compilation | groovyc -j A.groovy B.java |
-b | --basescript | Base class name for scripts (must derive from Script) | |
--configscript | Advanced compiler configuration script | groovyc --configscript config/config.groovy src/Person.groovy | |
-Jproperty=value | Properties to be passed to | groovyc -j -Jtarget=1.6 -Jsource=1.6 A.groovy B.java | |
-Fflag | Flags to be passed to | groovyc -j -Fnowarn A.groovy B.java | |
-pa | --parameters | Generates metadata for reflection on method parameter names. Requires Java 8+. | groovyc --parameters Person.groovy |
-pr | --enable-preview | Enable preview Java features (jdk12+ only). | groovy --enable-preview Person.groovy |
@argfile | Read options and source files from specified file. | groovyc @conf/args |
Notes:* for a full description of joint compilation, seethe joint compilation section.
See thegroovyc Ant task documentation.It allows the Groovy compiler to be invoked fromApache Ant.
Gant is a tool for scripting Ant tasks using Groovyinstead of XML to specify the logic. As such, it has exactly the same featuresas the Groovyc Ant task.
There are several approaches to compiling Groovy code in your Mavenprojects.GMavenPlus is themost flexible and feature rich, but like most Groovy compiler tools, it canhave difficulties with joint Java-Groovy projects (for the same reasonGMaven andGradle can have issues).TheGroovy-Eclipse compiler plugin for Mavensidesteps the joint compilation issues. Readthisfor a deeper discussion of the benefits and disadvantages of the twoapproaches.
A third approach is to use Maven’s Ant plugin to compile a groovyproject. Note that the Ant plugin is bound to the compile andtest-compile phases of the build in the example below. It will beinvoked during these phases and the contained tasks will be carried outwhich runs the Groovy compiler over the source and test directories. Theresulting Java classes will coexist with and be treated like anystandard Java classes compiled from Java source and will appear nodifferent to the JRE, or the JUnit runtime.
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.mycomp.MyGroovy</groupId> <artifactId>MyGroovy</artifactId> <packaging>jar</packaging> <version>1.0-SNAPSHOT</version> <name>Maven Example building a Groovy project</name> <dependencies> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>3.8.1</version> <scope>test</scope> </dependency> <dependency> <groupId>org.codehaus.groovy</groupId> <artifactId>groovy-all</artifactId> <version>2.5.0</version> <type>pom</type> <!-- required JUST since Groovy 2.5.0 --> </dependency> </dependencies> <build> <plugins> <plugin> <artifactId>maven-antrun-plugin</artifactId> <executions> <execution> <id>compile</id> <phase>compile</phase> <configuration> <tasks> <mkdir dir="${basedir}/src/main/groovy"/> <taskdef name="groovyc" classname="org.codehaus.groovy.ant.Groovyc"> <classpath refid="maven.compile.classpath"/> </taskdef> <mkdir dir="${project.build.outputDirectory}"/> <groovyc destdir="${project.build.outputDirectory}" srcdir="${basedir}/src/main/groovy/" listfiles="true"> <classpath refid="maven.compile.classpath"/> </groovyc> </tasks> </configuration> <goals> <goal>run</goal> </goals> </execution> <execution> <id>test-compile</id> <phase>test-compile</phase> <configuration> <tasks> <mkdir dir="${basedir}/src/test/groovy"/> <taskdef name="groovyc" classname="org.codehaus.groovy.ant.Groovyc"> <classpath refid="maven.test.classpath"/> </taskdef> <mkdir dir="${project.build.testOutputDirectory}"/> <groovyc destdir="${project.build.testOutputDirectory}" srcdir="${basedir}/src/test/groovy/" listfiles="true"> <classpath refid="maven.test.classpath"/> </groovyc> </tasks> </configuration> <goals> <goal>run</goal> </goals> </execution> </executions> </plugin> </plugins> </build></project>
This assumes you have a Maven project setup withgroovy
subfoldersas peers to the java src and test subfolders. You can use thejava
/jar
archetype to set this up then rename the java folders to groovy or keepthe java folders and just create groovy peer folders. There exists, alsoa groovy plugin which has not been tested or used in production. Afterdefining the build section as in the above example, you can invoke thetypical Maven build phases normally. For example,mvn test
willexecute the test phase, compiling Groovy source and Groovy test sourceand finally executing the unit tests. If you runmvn jar
it willexecute the jar phase bundling up all of your compiled productionclasses into a jar after all the unit tests pass. For more detail onMaven build phases consult the Maven2 documentation.
GMaven is the original Maven pluginfor Groovy, supporting both compiling and scripting Groovy.
Important:
You should be aware that GMaven isnot supported anymore and can havedifficulties withjoint compilation.GMavenPlus can be a good replacement, but if youare having problems with joint compilation, you might consider theGroovy Eclipse maven plugin.
GMavenPlus is a rewrite ofGMaven and is in active development. It supports most of thefeatures of GMaven (a couple notable exceptions beingmojo Javadoc tagsand support for older Groovy versions). Its joint compilation uses stubs (whichmeans it has the same potential issues asGMaven andGradle). The mainadvantages over its predecessor are that it supports recent Groovy versions,InvokeDynamic, Groovy on Android, GroovyDoc, and configuration scripts.
Groovy-Eclipseprovides a compiler plugin for Maven. Using the compilerplugin, it is possible to compile your maven projects using theGroovy-Eclipse compiler. One feature unavailable elsewhere isstubless joint compilation.
Joint compilation means that the Groovy compiler will parse theGroovy source files, create stubs for all of them, invoke the Javacompiler to compile the stubs along with Java sources, and then continuecompilation in the normal Groovy compiler way. This allows mixing ofJava and Groovy files without constraint.
Joint compilation can be enabled using the-j
flag with the command-line compiler,or using a nested tag and all the attributes and further nested tags as requiredfor the Ant task.
It is important to know that if you don’t enable joint compilation and try to compileJava source files with the Groovy compiler, the Java source files will be compiled asif they were Groovy sources. In some situations, this might work since most of the Javasyntax is compatible with Groovy, but there are a number of places where semantics could be different.
It is possible to write an Android application in Groovy. However this requires a specialversion of the compiler, meaning that you cannot use the regulargroovyc tool to target Android bytecode. In particular, Groovyprovides specific JAR files for Android, which have a classifier ofgrooid
. In order to makethings easier, aGradle plugin addssupport for the Groovy language in the Android Gradle toolchain.
The plugin can be applied like this:
buildscript { repositories { mavenCentral() } dependencies { classpath 'com.android.tools.build:gradle:2.1.2' classpath 'org.codehaus.groovy:groovy-android-gradle-plugin:1.0.0' }}apply plugin: 'groovyx.android'
Then you will need to add a dependency on thegrooid
version of the Groovy compiler:
dependencies { compile 'org.codehaus.groovy:groovy:2.4.7:grooid'}
Note that if a Groovy jar does not provide agrooid
classifier alternative, then it meansthat the jar is directly compatible with Android. In that case, you can add the dependency directlylike this:
dependencies { compile 'org.codehaus.groovy:groovy:2.4.7:grooid' // requires the grooid classifier compile ('org.codehaus.groovy:groovy-json:2.4.7') { // no grooid version available transitive = false // so do not depend on non-grooid version }}
Note that thetransitive=false
parameter forgroovy-json
will let Gradle download the JSON support jarwithout adding a dependency onto the normal jar of Groovy.
Please make sure to go to theplugin homepage in order tofind the latest documentation and version.
The Groovy Shell, aka.groovysh
is a command-line application whichallows easy access to evaluate Groovy expressions, define classes andrun simple experiments.
No need forgo
command to execute buffer.
Rich cross-platform edit-line editing, history and completion thankstoJLine2.
ANSI colors (prompt, exception traces, etc).
Simple, yet robust, command system with online help, user aliassupport and more.
User profile support
The shell supports several options to control verbosity, ANSI coloringand other features.
./bin/groovysh --helpUsage: groovysh [options] [...]The Groovy Shell, aka groovysh, is a command-line application which allows easyaccess to evaluate Groovy expressions, define classes and run simpleexperiments. -C, --color[=<FLAG>] Enable or disable use of ANSI colors -cp, -classpath, --classpath Specify where to find the class files - must be first argument -d, --debug Enable debug output -D, --define=<name=value> Define a system property -e, --evaluate=<CODE> Evaluate the code first when starting interactive session -h, --help Display this help message -pa, --parameters Generate metadata for reflection on method parameter names (jdk8+ only) -pr, --enable-preview Enable preview Java features (jdk12+ only) -q, --quiet Suppress superfluous output -T, --terminal=<TYPE> Specify the terminal TYPE to use -v, --verbose Enable verbose output -V, --version Display the version
println "Hello"
When a complete expression is found, it is compiled and evaluated. Theresult of the evaluation is stored into the _ variable.
Multi-line/complex expressions (like closure or class definitions) maybe defined over several lines. When the shell detects that it has acomplete expression it will compile and evaluate it.
class Foo { def bar() { println "baz" }}
foo = new Foo()foo.bar()
Shell variables areall untyped (i.e. nodef
or other type information).
Thiswill set a shell variable:
foo = "bar"
But, this will evaluate a local variable and willnot be saved to the shell’s environment:
def foo = "bar"
This behavior can be changed by activatinginterpreter mode.
Functions can be defined in the shell, and will be saved for later use.
Defining a function is easy:
groovy:000> def hello(name) {groovy:001> println("Hello $name")groovy:002> }
And then using it is as one might expect:
hello("Jason")
Internally the shell creates a closure to encapsulate the function andthen binds the closure to a variable. So variables and functions sharethe same namespace.
The shell has a number of different commands, which provide rich accessto the shell’s environment.
Commands all have aname and ashortcut (which is something like\h
). Commands may also have some predefined systemaliases. Usersmay also create their own aliases.
help
Display the list of commands (and aliases) or the help text for specific command.
The Command List
groovy:000> :helpFor information about Groovy, visit: http://groovy-lang.orgAvailable commands: :help (:h ) Display this help message ? (:? ) Alias to: :help :exit (:x ) Exit the shell :quit (:q ) Alias to: :exit import (:i ) Import a class into the namespace :display (:d ) Display the current buffer :clear (:c ) Clear the buffer and reset the prompt counter :show (:S ) Show variables, classes or imports :inspect (:n ) Inspect a variable or the last result with the GUI object browser :purge (:p ) Purge variables, classes, imports or preferences :edit (:e ) Edit the current buffer :load (:l ) Load a file or URL into the buffer . (:. ) Alias to: :load :save (:s ) Save the current buffer to a file :record (:r ) Record the current session to a file :history (:H ) Display, manage and recall edit-line history :alias (:a ) Create an alias :set (:= ) Set (or list) preferences :grab (:g ) Add a dependency to the shell environment :register (:rc) Register a new command with the shell :doc (:D ) Open a browser window displaying the doc for the argumentFor help on a specific command type: :help <command>
Help for a Command
While in the interactive shell, you can ask for help for any command toget more details about its syntax or function. Here is an example ofwhat happens when you ask for help for thehelp
command:
groovy:000> :help :helpusage: :help [<command>]Display the list of commands or the help text for <command>.
exit
Exit the shell.
This is theonly way to exit the shell. Well, you can stillCTRL-C
,but the shell will complain about an abnormal shutdown of the JVM.
import
Add a custom import which will be included for all shell evaluations.
This command can be given at any time to add new imports.
grab
Grab a dependency (Maven, Ivy, etc.) from Internet sources or cache,and add it to the Groovy Shell environment.
groovy:000> :grab 'com.google.guava:guava:19.0'groovy:000> import com.google.common.collect.BiMap===> com.google.common.collect.BiMap
This command can be given at any time to add new dependencies.
display
Display the contents of the current buffer.
This only displays the buffer of an incomplete expression. Once theexpression is complete, the buffer is reset. The prompt will update toshow the size of the current buffer as well.
Example
groovy:000> class Foo {groovy:001> def bargroovy:002> def baz() {groovy:003> :display 001> class Foo { 002> def bar 003> def baz() {
clear
Clears the current buffer, resetting the prompt counter to 000. Can be used to recover from compilation errors.
show
Show variables, classes or preferences or imports.
show variables
groovy:000> :show variablesVariables: _ = true
show classes
show imports
show preferences
show all
inspect
Opens the GUI object browser to inspect a variable or the result of thelast evaluation.
purge
Purges objects from the shell.
purge variables
purge classes
purge imports
purge preferences
purge all
edit
Edit the current buffer in an external editor.
Currently only works on UNIX systems which have theEDITOR
environmentvariable set, or have configured theeditor
preference.
load
Load one or more files (or urls) into the buffer.
save
Saves the buffer’s contents to a file.
history
Display, manage and recall edit-line history.
history show
history recall
history flush
history clear
alias
Create an alias.
doc
Opens a browser with documentation for the provided class.
For example, we can get both the Javadoc and GDK enhancements doc forjava.util.List
(shown running on JDK17):
groovy:000> :doc java.util.Listhttps://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/List.htmlhttps://docs.groovy-lang.org/4.0.27/html/groovy-jdk/java/util/List.html
This will print the documentation URLs found and open two windows (or tabs, depending on your browser):
one for the JDK documentation
one for the GDK documentation
By default, for Java classes, thejava.base
module is assumed. You can specify an optional modulefor other cases (shown running on JDK17):
groovy:000> :doc java.scripting javax.script.ScriptContexthttps://docs.oracle.com/en/java/javase/17/docs/api/java.scripting/javax/script/ScriptContext.html
For backwards compatibility, if no module is specified when searching for Java classes, and no class is found in thejava.base
module, an additional attempt is made to find documentation for the class in the JDK8 (pre-module) Javadoc:
groovy:000> :doc javax.script.ScriptContexthttps://docs.oracle.com/javase/8/docs/api/javax/script/ScriptContext.html
To get the Groovydoc forgroovy.ant.AntBuilder
andgroovy.xml.XmlSlurper
:
groovy:000> :doc groovy.ant.AntBuilderhttps://docs.groovy-lang.org/4.0.27/html/gapi/groovy/ant/AntBuilder.htmlgroovy:000> :doc groovy.xml.XmlSlurperhttps://docs.groovy-lang.org/4.0.27/html/gapi/groovy/xml/XmlSlurper.html
To get both the Groovydoc and GDK enhancements doc forgroovy.lang.Closure
andgroovy.sql.GroovyResultSet
:
groovy:000> :doc groovy.lang.Closurehttps://docs.groovy-lang.org/4.0.27/html/gapi/groovy/lang/Closure.htmlhttps://docs.groovy-lang.org/4.0.27/html/groovy-jdk/groovy/lang/Closure.htmlgroovy:000> :doc groovy.sql.GroovyResultSethttps://docs.groovy-lang.org/4.0.27/html/gapi/groovy/sql/GroovyResultSet.htmlhttps://docs.groovy-lang.org/4.0.27/html/groovy-jdk/groovy/sql/GroovyResultSet.html
Documentation is also available for the GDK enhancements to primitive arrays and arrays of arrays:
groovy:000> :doc int[]https://docs.groovy-lang.org/4.0.27/html/groovy-jdk/primitives-and-primitive-arrays/int%5B%5D.htmlgroovy:000> :doc double[][]https://docs.groovy-lang.org/4.0.27/html/groovy-jdk/primitives-and-primitive-arrays/double%5B%5D%5B%5D.html
In contexts where opening a browser may not be desirable, e.g. on a CI server,this command can be disabled by setting thegroovysh.disableDocCommand system property totrue . |
set
Set or list preferences.
Some aspects ofgroovysh
behaviors can be customized by settingpreferences. Preferences are set using theset
command or the:=
shortcut.
interpreterMode
Allows the use of typed variables (i.e.def
or other type information):
groovy:000> def x = 3===> 3groovy:000> x===> 3
It’s especially useful for copy&pasting code from tutorials etc. into the running session.
verbosity
Set the shell’s verbosity level. Expected to be one of:
DEBUG
VERBOSE
INFO
QUIET
Default isINFO
.
If this preference is set to an invalid value, then the previous settingwill be used, or if there is none, then the preference is removed andthe default is used.
editor
Configures the editor used by theedit
command.
Default is the value of the system environment variableEDITOR
.
To use TextEdit, the default text editor on macOS, configure:set editor /Applications/TextEdit.app/Contents/MacOS/TextEdit
groovy:000> :set verbosity DEBUG
To list the currentset preferences (and their values):
groovy:000> :show preferences
Limitation: At the moment, there is no way to list all theknown/available preferences to be set.
groovy:000> :purge preferences
$HOME/.groovy/groovysh.profile
This script, if it exists, is loaded when the shell starts up.
$HOME/.groovy/groovysh.rc
This script, if it exists, is loaded when the shell enters interactivemode.
$HOME/.groovy/groovysh.history
Edit-line history is stored in this file.
Theregister
command allows you to register custom commands in the shell. For example, writing the followingwill register theStats
command:
groovy:000> :register Stats
where theStats
class is a class extending theorg.apache.groovy.groovysh.CommandSupport
class. For example:
import org.apache.groovy.groovysh.CommandSupportimport org.apache.groovy.groovysh.Groovyshclass Stats extends CommandSupport { protected Stats(final Groovysh shell) { super(shell, 'stats', 'T') } public Object execute(List args) { println "Free memory: ${Runtime.runtime.freeMemory()}" }}
Then the command can be called using:
groovy:000> :statsstatsFree memory: 139474880groovy:000>
Note that the command class must be found on classpath: you cannot define a new command from within the shell.
Pleasereport any problems yourun into. Please be sure to mark the JIRA issue with theGroovysh
component.
On Windows,JLine2 (which is used for the fancyshell input/history/completion fluff), uses atiny DLL file to tricktheevil Windows faux-shell (CMD.EXE
orCOMMAND.COM
) intoproviding Java with unbuffered input. In some rare cases, this mightfail to load or initialize.
One solution is to disable the frills and use the unsupported terminalinstance. You can do that on the command-line using the--terminal
flag and set it to one of:
none
false
off
jline.UnsupportedTerminal
groovysh --terminal=none
Some people have issues when running groovysh with cygwin. If you havetroubles, the following may help:
stty -icanon min 1 -echogroovysh --terminal=unixstty icanon echo
GMavenPlus is a Maven plugin with goalsthat support launching a Groovy Shell or Groovy Console bound to a Mavenproject.
Gradle Groovysh Plugin is a Gradle plugin that provides gradle tasks to start a Groovy Shell bound to a Gradle project.
The Groovy Swing Console allows a user to enter and run Groovy scripts.This page documents the features of this user interface.
Groovy Console is launched viagroovyConsole
orgroovyConsole.bat
, both located in$GROOVY_HOME/bin
The Console has an input area and an output area.
You type a Groovy script in the input area.
When you selectRun
from theActions
menu, the consolecompiles the script and runs it.
Anything that would normally be printed onSystem.out
is printed inthe output area.
If the script returns a non-null result, that result is printed.
The Groovy Console supports several options to control classpath and other features.
./bin/groovyConsole --helpUsage: groovyConsole [options] [filename]The Groovy Swing Console allows a user to enter and run Groovy scripts. --configscript=PARAM A script for tweaking the compiler configuration options -cp, -classpath, --classpath Specify where to find the class files - must be first argument -D, --define=<name=value> Define a system property -h, --help Display this help message -pa, --parameters Generate metadata for reflection on method parameter names (jdk8+ only) -pr, --enable-preview Enable preview Java features (jdk12+ only) -V, --version Display the version
There are several shortcuts that you can use to run scripts or code snippets:
Ctrl+Enter
andCtrl+R
are both shortcut keys forRun Script
.
If you highlight just part of the text in the input area, then Groovyruns just that text.
The result of a script is the value of the last expressionexecuted.
You can turn the System.out capture on and off by selectingCaptureSystem.out
from theActions
menu
You can open any text file, edit it, run it (as a Groovy Script) andthen save it again when you are finished.
SelectFile > Open
(shortcut keyctrl+O
) to open a file
SelectFile > Save
(shortcut keyctrl+S
) to save a file
SelectFile > New File
(shortcut keyctrl+Q
) to start again with ablank input area
You can pop up a gui inspector on the last (non-null) result byselectingInspect Last
from theActions
menu. The inspector is aconvenient way to view lists and maps.
The console remembers the last ten script runs. You can scroll backand forth through the history by selectingNext
andPrevious
from theEdit
menu.Ctrl-N
andctrl-P
are convenient shortcut keys.
The last (non-null) result is bound to a variable named_
(anunderscore).
The last result (null and non-null) for every run in the history isbound into a list variable named (two underscores). The result ofthe last run is
[-1]
, the result of the second to last run is__[-2]
and so forth.
The Groovy console is a very handy tool to develop scripts. Often, you willfind yourself running a script multiple times until it works the way you wantit to. However, what if your code takes too long to finish or worse, createsan infinite loop? Interrupting script execution can be achieved by clickingtheinterrupt
button on the small dialog box that pops up when a scriptis executing or through theinterrupt
icon in the toolbar.
However, this may not be sufficient to interrupt a script: clicking the buttonwill interrupt the execution thread, but if your code doesn’t handle the interruptflag, the script is likely to keep running without you being able to effectivelystop it. To avoid that, you have to make sure that theScript > Allow interruption
menu item is flagged. This will automatically apply an AST transformation to yourscript which will take care of checking the interrupt flag (@ThreadInterrupt
).This way, you guarantee that the script can be interrupted even if you don’t explicitlyhandle interruption, at the cost of extra execution time.
You can change the font size by selectingSmaller Font
orLargerFont
from theActions menu
The console can be run as an Applet thanks togroovy.ui.ConsoleApplet
Code is auto indented when you hit return
You can drag’n’drop a Groovy script over the text area to open a file
You can modify the classpath with which the script in the console isbeing run by adding a new JAR or a directory to the classpath from theScript
menu
Error hyperlinking from the output area when a compilation error isexpected or when an exception is thrown
To embed a Swing console in your application, simply create the Consoleobject, load some variables, and then launch it. The console can be embedded ineither Java or Groovy code. The Java code for this is:
import groovy.ui.Console; ... Console console = new Console(); console.setVariable("var1", getValueOfVar1()); console.setVariable("var2", getValueOfVar2()); console.run(); ...
Once the console is launched, you can use the variable values in Groovycode.
You can customize the way script output results are visualized. Let’ssee how we can customize this. For example, viewing a map result wouldshow something like this:
What you see here is the usual textual representation of a Map. But,what if we enabled custom visualization of certain results? The Swingconsole allows you to do just that. First of all, you have to ensurethat the visualization option is ticked:View → Visualize ScriptResults
— for the record, all settings of the Groovy Console are storedand remembered thanks to the Preference API. There are a few resultvisualizations built-in: if the script returns ajava.awt.Image
, ajavax.swing.Icon
, or ajava.awt.Component
with no parent, the object isdisplayed instead of itstoString()
representation. Otherwise,everything else is still just represented as text. Now, create thefollowing Groovy script in~/.groovy/OutputTransforms.groovy
:
import javax.swing.*transforms << { result -> if (result instanceof Map) { def table = new JTable( result.collect{ k, v -> [k, v?.inspect()] as Object[] } as Object[][], ['Key', 'Value'] as Object[]) table.preferredViewportSize = table.preferredSize return new JScrollPane(table) }}
The Groovy Swing console will execute that script on startup, injectinga transforms list in the binding of the script, so that you can add yourown script results representations. In our case, we transform the Mapinto a nice-looking Swing JTable. We’re now able to visualize mapsin a friendly and attractive fashion, as the screenshot below shows:
Groovy Console can visualize the AST (Abstract Syntax Tree) representingthe currently edited script, as shown by the screenshot below. This isuseful when you want to understand how an AST transformationis working and particularly handy if you are developing your own AST transform.In the example below, we have annotated our class with the@Immutable
annotationand the Groovy compiler has generated a lot of boilerplate code for us.We can see the code for the generated equals method in theSource
tab.
We can even examine the JVM bytecode generated by the compiler.In the image below we are looking at the bytecode for the GroovyexpressionLocalDate.parse('2020/02/10', 'yyyy/MM/dd')
.
Groovy Console can visualize the CST (Concrete Syntax Tree) representingthe initial parsing of the script. This is mainly useful for parsing gurus.
GroovyDoc is a tool responsible for generating documentation from your code. It acts like the Javadoc tool in theJava world but is capable of handling bothgroovy
andjava
files. The distribution comes with two ways of generatingdocumentation: fromcommand line or fromApache Ant. Other build toolslike Maven or Gradle also offer wrappers for Groovydoc.
Thegroovydoc
command line can be invoked to generate groovydocs:
groovydoc [options] [packagenames] [sourcefiles]
where options must be picked from the following table:
Short version | Long version | Description |
---|---|---|
-author | Include @author paragraphs (currently not used) | |
-charset <charset> | Charset for cross-platform viewing of generated documentation | |
-classpath, -cp | --classpath | Specify where to find the class files - must befirst argument |
-d | --destdir <dir> | Destination directory for output files |
--debug | Enable debug output | |
-doctitle <html> | Include title for the overview page | |
-exclude <pkglist> | Specify a list of packages to exclude(separated by colons for all operating systems) | |
-fileEncoding <charset> | Charset for generated documentation files | |
-footer <html> | Include footer text for each page | |
-header <html> | Include header text for each page | |
-help | --help | Display help message |
-nomainforscripts | Don’t include the implicit 'public static voidmain' method for scripts | |
-noscripts | Don’t process Groovy Scripts | |
-notimestamp | Don’t include timestamp within hidden comment in generated HTML | |
-noversionstamp | Don’t include Groovy version within hidden comment in generated HTML | |
-overview <file> | Read overview documentation from HTML file | |
-package | Show package/protected/public classes and members | |
-private | Show all classes and members | |
-protected | Show protected/public classes and members (default) | |
-public | Show only public classes and members | |
-quiet | Suppress superfluous output | |
-sourcepath <pathlist> | Specify where to find source files (dirsseparated by platform path separator) | |
-stylesheetfile <path> | File to change style of the generated documentation | |
-verbose | Enable verbose output | |
--version | Display the version | |
-windowtitle <text> | Browser window title for the documentation | |
-javaversion <version> | The version of the Java source files |
The supported Java Versions forgroovydoc
are defined by the JavaParser library’sLanguageLevel class.
Thegroovydoc
Ant task allows generating groovydocs from an Ant build.
Assuming all the groovy jars you need are inmy.classpath (this will begroovy-VERSION.jar
,groovy-ant-VERSION.jar
,groovy-groovydoc-VERSION.jar
plus any modules and transitive dependencies you might be using)you will need to declare this task at some point in the build.xml prior to the groovydoc task being invoked.
<taskdef name = "groovydoc" classname = "org.codehaus.groovy.ant.Groovydoc" classpathref = "my.classpath"/>
Attribute | Description | Required |
---|---|---|
destdir | Location to store the class files. | Yes |
sourcepath | The sourcepath to use. | No |
packagenames | Comma separated list of package files (with terminatingwildcard). | No |
use | Create class and package usage pages. | No |
windowtitle | Browser window title for the documentation (text). | No |
doctitle | Include title for the package index(first) page (html-code). | No |
header | Include header text for each page (html-code). | No |
footer | Include footer text for each page (html-code). | No |
overview | Read overview documentation from HTML file. | No |
private | Show all classes and members (i.e. including private ones) ifset to ``true''. | No |
javaversion | The version of the Java source files. | No |
Create link to groovydoc/javadoc output at the given URL.
Attribute | Description | Required |
---|---|---|
packages | Comma separated list of package prefixes | Yes |
href | Base URL of external site | Yes |
<taskdef name = "groovydoc" classname = "org.codehaus.groovy.ant.Groovydoc" classpathref = "path_to_groovy_all"/><groovydoc destdir = "${docsDirectory}/gapi" sourcepath = "${mainSourceDirectory}" packagenames = "**.*" use = "true" windowtitle = "${title}" doctitle = "${title}" header = "${title}" footer = "${docFooter}" overview = "src/main/overview.html" private = "false"> <link packages="java.,org.xml.,javax.,org.xml." href="http://docs.oracle.com/javase/8/docs/api/"/> <link packages="org.apache.tools.ant." href="http://docs.groovy-lang.org/docs/ant/api/"/> <link packages="org.junit.,junit.framework." href="http://junit.org/junit4/javadoc/latest/"/> <link packages="groovy.,org.codehaus.groovy." href="http://docs.groovy-lang.org/latest/html/api/"/> <link packages="org.codehaus.gmaven." href="http://groovy.github.io/gmaven/apidocs/"/></groovydoc>
def ant = new AntBuilder()ant.taskdef(name: "groovydoc", classname: "org.codehaus.groovy.ant.Groovydoc")ant.groovydoc( destdir : "${docsDirectory}/gapi", sourcepath : "${mainSourceDirectory}", packagenames : "**.*", use : "true", windowtitle : "${title}", doctitle : "${title}", header : "${title}", footer : "${docFooter}", overview : "src/main/overview.html", private : "false") { link(packages:"java.,org.xml.,javax.,org.xml.",href:"http://docs.oracle.com/javase/8/docs/api/") link(packages:"groovy.,org.codehaus.groovy.", href:"http://docs.groovy-lang.org/latest/html/api/") link(packages:"org.apache.tools.ant.", href:"http://docs.groovy-lang.org/docs/ant/api/") link(packages:"org.junit.,junit.framework.", href:"http://junit.org/junit4/javadoc/latest/") link(packages:"org.codehaus.gmaven.", href:"http://groovy.github.io/gmaven/apidocs/")}
Thegroovydoc
Ant task supports custom templates, but it requires two steps:
A custom groovydoc class
A new groovydoc task definition
The first step requires you to extend theGroovydoc
class, like in the following example:
package org.codehaus.groovy.tools.groovydoc;import org.codehaus.groovy.ant.Groovydoc;/** * Overrides GroovyDoc's default class template - for testing purpose only. */public class CustomGroovyDoc extends Groovydoc { @Override protected String[] getClassTemplates() { return new String[]{"org/codehaus/groovy/tools/groovydoc/testfiles/classDocName.html"}; }}
You can override the following methods:
getClassTemplates
for class-level templates
getPackageTemplates
for package-level templates
getDocTemplates
for top-level templates
You can find the list of default templates in theorg.codehaus.groovy.tools.groovydoc.gstringTemplates.GroovyDocTemplateInfo
class.
Once you’ve written the class, using it is just a matter of redefining thegroovydoc
task:
<taskdef name = "groovydoc" classname = "org.codehaus.groovy.ant.CustomGroovyDoc" classpathref = "path_to_groovy_all"/>
Please note that template customization is provided as is. APIs are subject to change, so you must consider this as afragile feature.
GMavenPlus is a Maven plugin with goals thatsupport GroovyDoc generation.
Many IDEs and text editors support the Groovy programming language.
Editor | Syntax highlighting | Code completion | Refactoring |
---|---|---|---|
Yes | Yes | Yes | |
Yes | Yes | Yes | |
Yes | Yes | Yes | |
Yes | No | No | |
Yes | No | No | |
Yes | No | No | |
Yes | No | No | |
Yes | No | No | |
Yes | No | No | |
Yes | No |
From thedownload page,you will be able to download the distribution (binary and source),the Windows installer (a community artifact) and the documentation forGroovy.
For a quick and effortless start on Mac OSX, Linux, WSL2 or Cygwin, you can useSDKMAN!(The Software Development Kit Manager) to download and configure anyGroovy version of your choice.Basicinstructions can be found below.
Download zip:Binary Release |Source Release
Download documentation:JavaDoc and zipped online documentation
Combined binary / source / documentation bundle:Distribution bundle
You can learn more about this version in therelease notes or in thechangelog.
If you plan on using invokedynamic support,read those notes.
For those who want to test the very latest versions of Groovy and live on the bleeding edge, you can use oursnapshot builds.As soon as a build succeeds on our continuous integration server a snapshot is deployed to this repository.These snapshots are not official releases and are intended for integration testing by the developmentcommunity prior to official versions being released. We welcome any feedback.
Groovy 4.0 requires Java 8+ with support for up to Java 16.
Various Groovy CI servers run the test suite (with more than 10000 tests) across numerous versions of Java.Those servers are also useful to look at to confirm supported Java versions for different Groovy releases.
If you wish to embed Groovy in your application, you may just prefer to point your buildto your favourite maven repository or the Groovyartifactory instance.Please see thedownload page for available modules for each Groovy version.
This tool makes installing Groovy on any Bash platform (Mac OSX, Linux, Cygwin, Solaris or FreeBSD) very easy.
Simply open a new terminal and enter:
$ curl -s "https://get.sdkman.io" | bash
Follow the instructions on-screen to complete installation.
Open a new terminal or type the command:
$ source "$HOME/.sdkman/bin/sdkman-init.sh"
Then install the latest stable Groovy:
$ sdk install groovy
After installation is complete and you’ve made it your default version, test it with:
$ groovy -version
That’s all there is to it!
If you’re on Windows, you can also use theWindows installer.
You may download other distributions of Groovy from the ASFarchive repositoryor from the Groovyartifactory instance (also includes pre-ASF versions).
If you prefer to live on the bleeding edge, you can also grab thesource code from GitHub.
If you are an IDE user, you can just grab the latestIDE plugin and follow the plugin installation instructions.
These instructions describe how to install a binary distribution ofGroovy:
Download a binary distribution of Groovy and unpack it into some folder on your local file system.
Set yourGROOVY_HOME
environment variable to the directory where you unpacked the distribution.
AddGROOVY_HOME/bin
to yourPATH
environment variable.
Set yourJAVA_HOME
environment variable to point to your JDK. On OS X this is/Library/Java/Home
, on other unixes its often/usr/java
etc. If you’ve already installed tools like Ant or Maven you’ve probably already done this step.
You should now have Groovy installed properly. You can test this by typing the following in a command shell:
groovysh
Which should create an interactive groovy shell where you can type Groovy statements. Or to run theSwing interactive console type:
groovyConsole
To run a specific Groovy script type:
groovy SomeScript
Groovy tries to be as natural as possible for Java developers. We’vetried to follow the principle of least surprise when designing Groovy,particularly for developers learning Groovy who’ve come from a Javabackground.
Here we list all the major differences between Java and Groovy.
All these packages and classes are imported by default, i.e. you do nothave to use an explicitimport
statement to use them:
java.io.*
java.lang.*
java.math.BigDecimal
java.math.BigInteger
java.net.*
java.util.*
groovy.lang.*
groovy.util.*
In Groovy, the methods which will be invoked are chosen at runtime. This is called runtime dispatch or multi-methods. Itmeans that the method will be chosen based on the types of the arguments at runtime. In Java, this is the opposite: methodsare chosen at compile time, based on the declared types.
The following code, written as Java code, can be compiled in both Java and Groovy, but it will behave differently:
int method(String arg) { return 1;}int method(Object arg) { return 2;}Object o = "Object";int result = method(o);
In Java, you would have:
assertEquals(2, result);
Whereas in Groovy:
assertEquals(1, result);
That is because Java will use the static information type, which is thato
is declared as anObject
, whereasGroovy will choose at runtime, when the method is actually called. Since it is called with aString
, then theString
version is called.
In Java, array initializers take either of these two forms:
int[] array = {1, 2, 3}; // Java array initializer shorthand syntaxint[] array2 = new int[] {4, 5, 6}; // Java array initializer long syntax
In Groovy, the{ … }
block is reserved for closures.That means that you cannot create array literals using Java’s array initializer shorthand syntax.You instead borrow Groovy’s literal list notation like this:
int[] array = [1, 2, 3]
For Groovy 3+, you can optionally use the Java’s array initializer long syntax:
def array2 = new int[] {1, 2, 3} // Groovy 3.0+ supports the Java-style array initialization long syntax
In Groovy, omitting a modifier on a field doesn’t result in a package-private field like in Java:
class Person { String name}
Instead, it is used to create aproperty, that is to say aprivate field, an associatedgetter and an associatedsetter.
It is possible to create a package-private field by annotating it with@PackageScope
:
class Person { @PackageScope String name}
Java 7 introduced ARM (Automatic Resource Management) blocks (also know as try-with-resources) blocks like this:
Path file = Paths.get("/path/to/file");Charset charset = Charset.forName("UTF-8");try (BufferedReader reader = Files.newBufferedReader(file, charset)) { String line; while ((line = reader.readLine()) != null) { System.out.println(line); }} catch (IOException e) { e.printStackTrace();}
Such blocks are supported from Groovy 3+.However, Groovy provides various methods relying on closures, which have the same effect while being more idiomatic. For example:
new File('/path/to/file').eachLine('UTF-8') { println it}
or, if you want a version closer to Java:
new File('/path/to/file').withReader('UTF-8') { reader -> reader.eachLine { println it }}
The implementation of anonymous inner classes and nested classes follow Java closely,but there are some differences, e.g.local variables accessed from within such classes don’t have to be final.We piggyback on some implementation details we use forgroovy.lang.Closure when generating inner class bytecode. |
Here’s an example of static inner class:
class A { static class B {}}new A.B()
The usage of static inner classes is the best supported one. If youabsolutely need an inner class, you should make it a static one.
import java.util.concurrent.CountDownLatchimport java.util.concurrent.TimeUnitCountDownLatch called = new CountDownLatch(1)Timer timer = new Timer()timer.schedule(new TimerTask() { void run() { called.countDown() }}, 0)assert called.await(10, TimeUnit.SECONDS)
In Java you can do this:
public class Y { public class X {} public X foo() { return new X(); } public static X createX(Y y) { return y.new X(); }}
Before 3.0.0, Groovy doesn’t support they.new X()
syntax. Instead, you have to writenew X(y)
, like in the code below:
public class Y { public class X {} public X foo() { return new X() } public static X createX(Y y) { return new X(y) }}
Caution though, Groovy supports calling methods with oneparameter without giving an argument. The parameter will then have thevalue null. Basically the same rules apply to calling a constructor.There is a danger that you will write new X() instead of new X(this) forexample. Since this might also be the regular way we have not yet founda good way to prevent this problem. |
Groovy 3.0.0 supports Java style syntax for creating instances of non-static inner classes. |
Java 8+ supports lambda expressions and the method reference operator (::
):
Runnable run = () -> System.out.println("Run"); // Javalist.forEach(System.out::println);
Groovy 3 and above also support these within the Parrot parser.In earlier versions of Groovy you should use closures instead:
Runnable run = { println 'run' }list.each { println it } // or list.each(this.&println)
As double-quoted string literals are interpreted asGString
values, Groovy may failwith compile error or produce subtly different code if a class withString
literalcontaining a dollar character is compiled with Groovy and Java compiler.
While typically, Groovy will auto-cast betweenGString
andString
if an API declaresthe type of a parameter, beware of Java APIs that accept anObject
parameter and thencheck the actual type.
Singly-quoted literals in Groovy are used forString
, and double-quoted result inString
orGString
, depending whether there is interpolation in the literal.
assert 'c'.class == Stringassert "c".class == Stringassert "c${1}".class in GString
Groovy will automatically cast a single-characterString
tochar
only when assigning toa variable of typechar
. When calling methods with arguments of typechar
we needto either cast explicitly or make sure the value has been cast in advance.
char a = 'a'assert Character.digit(a, 16) == 10: 'But Groovy does boxing'assert Character.digit((char) 'a', 16) == 10try { assert Character.digit('a', 16) == 10 assert false: 'Need explicit cast'} catch(MissingMethodException e) {}
Groovy supports two styles of casting and in the case of casting tochar
thereare subtle differences when casting a multi-char strings. The Groovy style cast ismore lenient and will take the first character, while the C-style cast will failwith exception.
// for single char strings, both are the sameassert ((char) "c").class == Characterassert ("c" as char).class == Character// for multi char strings they are nottry { ((char) 'cx') == 'c' assert false: 'will fail - not castable'} catch(GroovyCastException e) {}assert ('cx' as char) == 'c'assert 'cx'.asType(char) == 'c'
==
In Java,==
means equality of primitive types or identity for objects.In Groovy,==
means equality in all places.For non-primitives, it translates toa.compareTo(b) == 0
,when evaluating equality forComparable
objects,anda.equals(b)
otherwise.
To check for identity (reference equality), use theis
method:a.is(b)
.From Groovy 3, you can also use the===
operator (or negated version):a === b
(orc !== d
).
In a pure object-oriented language, everything would be an object.Java takes the stance that primitive types, such as int, boolean and double,are used very frequently and worthy of special treatment.Primitives can be efficiently stored and manipulated but can’t be used in all contexts where an object could be used.Luckily, Java auto boxes and unboxes primitives when they are passed as parameters or used as return types:
public class Main { // Java float f1 = 1.0f; Float f2 = 2.0f; float add(Float a1, float a2) { return a1 + a2; } Float calc() { return add(f1, f2); }(1) public static void main(String[] args) { Float calcResult = new Main().calc(); System.out.println(calcResult); // => 3.0 }}
1 | Theadd method expects wrapper then primitive type arguments,but we are supplying parameters with a primitive then wrapper type.Similarly, the return type fromadd is primitive, but we need the wrapper type. |
Groovy does the same:
class Main { float f1 = 1.0f Float f2 = 2.0f float add(Float a1, float a2) { a1 + a2 } Float calc() { add(f1, f2) }}assert new Main().calc() == 3.0
Groovy, also supports primitives and object types, however, it goes a little furtherin pushing OO purity; it tries hard to treateverything as an object.Any primitive typed variable or field can be treated like an object, and itwill beauto-wrapped as needed.While primitive types might be used under the covers,their use should be indistinguishable from normal object use whenever possible,and they will be boxed/unboxed as needed.
Here is a little example using Java trying to (incorrectly for Java) dereference a primitivefloat
:
public class Main { // Java public float z1 = 0.0f; public static void main(String[] args){ new Main().z1.equals(1.0f); // DOESN'T COMPILE, error: float cannot be dereferenced }}
The same example using Groovy compiles and runs successfully:
class Main { float z1 = 0.0f}assert !(new Main().z1.equals(1.0f))
Because of Groovy’s additional use of un/boxing, it does not followJava’s behavior of widening taking priority over boxing.Here’s an example usingint
int im(i)void m(long l) {(1) println "in m(long)"}void m(Integer i) {(2) println "in m(Integer)"}
1 | This is the method that Java would call, since widening has precedence over unboxing. |
2 | This is the method Groovy actually calls, since all primitive references use their wrapper class. |
@CompileStatic
Since Groovy converts to wrapper classes in more places, you might wonderwhether it produces less efficient bytecode for numeric expressions.Groovy has a highly optimised set of classes for doing math computations.When using@CompileStatic
, expressions involving only primitivesuses the same bytecode that Java would use.
Java float/double operations for both primitives and wrapper classes follow the IEEE 754 standardbut there is an interesting edge case involving positive and negative zero.The standard supports distinguishing between these two cases and while in many scenariosprogrammers may not care about the difference, in some mathematical or data science scenariosit is important to cater for the distinction.
For primitives, Java maps down onto a specialbytecode instructionwhen comparing such values which has the property that"Positive zero and negative zero are considered equal".
jshell> float f1 = 0.0ff1 ==> 0.0jshell> float f2 = -0.0ff2 ==> -0.0jshell> f1 == f2$3 ==> true
For the wrapper classes, e.g.java.base/java.lang.Float#equals(java.lang.Object),the result isfalse
for this same case.
jshell> Float f1 = 0.0ff1 ==> 0.0jshell> Float f2 = -0.0ff2 ==> -0.0jshell> f1.equals(f2)$3 ==> false
Groovy on the one hand tries to follow Java behavior closely, but on the otherswitches automatically between primitives and wrapped equivalents in more places.To avoid confusion we recommend the following guidelines:
If you wish to distinguish between positive and negative zero, use theequals
method directly or cast any primitives to their wrapper equivalent before using==
.
If you wish to ignore the difference between positive and negative zero, use theequalsIgnoreZeroSign
method directly or cast any non-primitives to their primitive equivalent before using==
.
These guidelines are illustrated in the following example:
float f1 = 0.0ffloat f2 = -0.0fFloat f3 = 0.0fFloat f4 = -0.0fassert f1 == f2assert (Float) f1 != (Float) f2assert f3 != f4(1)assert (float) f3 == (float) f4assert !f1.equals(f2)assert !f3.equals(f4)assert f1.equalsIgnoreZeroSign(f2)assert f3.equalsIgnoreZeroSign(f4)
1 | Recall that for non-primitives,== maps to.equals() |
Java does automatic widening and narrowingconversions.
Converts to | ||||||||
Converts from | boolean | byte | short | char | int | long | float | double |
boolean | - | N | N | N | N | N | N | N |
byte | N | - | Y | C | Y | Y | Y | Y |
short | N | C | - | C | Y | Y | Y | Y |
char | N | C | C | - | Y | Y | Y | Y |
int | N | C | C | C | - | Y | T | Y |
long | N | C | C | C | C | - | T | T |
float | N | C | C | C | C | C | - | Y |
double | N | C | C | C | C | C | C | - |
'Y' indicates a conversion Java can make
'C' indicates a conversion Java can make when there is an explicit cast
'T` indicates a conversion Java can make but data is truncated
'N' indicates a conversion Java can’t make
Groovy expands greatly on this.
Converts to | ||||||||||||||||||
Converts from |
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|
|
|
|
|
| - | B | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
| B | - | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
| T | T | - | B | Y | Y | Y | D | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| T | T | B | - | Y | Y | Y | D | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| T | T | D | D | - | B | Y | D | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| T | T | D | T | B | - | Y | D | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| T | T | Y | D | Y | D | - | D | Y | D | Y | D | D | Y | D | Y | D | D |
| T | T | D | D | D | D | D | - | D | D | D | D | D | D | D | D | D | D |
| T | T | D | D | D | D | Y | D | - | B | Y | Y | Y | Y | Y | Y | Y | Y |
| T | T | D | D | D | D | Y | D | B | - | Y | Y | Y | Y | Y | Y | Y | Y |
| T | T | D | D | D | D | Y | D | D | D | - | B | Y | T | T | T | T | Y |
| T | T | D | D | D | T | Y | D | D | T | B | - | Y | T | T | T | T | Y |
| T | T | D | D | D | D | D | D | D | D | D | D | - | D | D | D | D | T |
| T | T | D | D | D | D | T | D | D | D | D | D | D | - | B | Y | Y | Y |
| T | T | D | T | D | T | T | D | D | T | D | T | D | B | - | Y | Y | Y |
| T | T | D | D | D | D | T | D | D | D | D | D | D | D | D | - | B | Y |
| T | T | D | T | D | T | T | D | D | T | D | T | D | D | T | B | - | Y |
| T | T | D | D | D | D | D | D | D | D | D | D | D | T | D | T | D | - |
'Y' indicates a conversion Groovy can make
'D' indicates a conversion Groovy can make when compiled dynamically or explicitly cast
'T' indicates a conversion Groovy can make but data is truncated
'B' indicates a boxing/unboxing operation
'N' indicates a conversion Groovy can’t make.
The truncation usesGroovy Truth when converting toboolean
/Boolean
. Convertingfrom a number to a character casts theNumber.intvalue()
tochar
. Groovy constructsBigInteger
andBigDecimal
usingNumber.doubleValue()
when converting from aFloat
orDouble
, otherwise it constructs usingtoString()
.Other conversions have their behavior defined byjava.lang.Number
.
Groovy has many of the same keywords as Java and Groovy 3 and above also has the samevar
reserved type as Java.In addition, Groovy has the following keywords:
as
def
in
trait
it
// within closures
Groovy is less stringent than Java in that it allows some keywords to appear in places that would be illegal in Java,e.g. the following is valid:var var = [def: 1, as: 2, in: 3, trait: 4]
.Never-the-less, you are discouraged from using the above keywords in places that might cause confusion even whenthe compiler might be happy. In particular, avoid using them for variable, method and class names,so our previousvar var
example would be considered poor style.
Additional documentation is available forkeywords.
Groovy provides a number ofhelper methods for workingwith I/O. While you could use standard Java code in Groovy to deal with those,Groovy provides much more convenient ways to handle files, streams, readers, …
In particular, you should take a look at methods added to:
thejava.io.File
class :http://docs.groovy-lang.org/latest/html/groovy-jdk/java/io/File.html
thejava.io.InputStream
class:http://docs.groovy-lang.org/latest/html/groovy-jdk/java/io/InputStream.html
thejava.io.OutputStream
class:http://docs.groovy-lang.org/latest/html/groovy-jdk/java/io/OutputStream.html
thejava.io.Reader
class:http://docs.groovy-lang.org/latest/html/groovy-jdk/java/io/Reader.html
thejava.io.Writer
class:http://docs.groovy-lang.org/latest/html/groovy-jdk/java/io/Writer.html
thejava.nio.file.Path
class:http://docs.groovy-lang.org/latest/html/groovy-jdk/java/nio/file/Path.html
The following section focuses on sample idiomatic constructs using helper methods available above but is not meantto be a complete description of all available methods. For that, please read theGDK API.
As a first example, let’s see how you would print all lines of a text file in Groovy:
new File(baseDir, 'haiku.txt').eachLine { line -> println line}
TheeachLine
method is a method added to theFile
class automatically by Groovy and has many variants, for exampleif you need to know the line number, you can use this variant:
new File(baseDir, 'haiku.txt').eachLine { line, nb -> println "Line $nb: $line"}
If for whatever reason an exception is thrown in theeachLine
body, the method makes sure that the resourceis properly closed. This is true for all I/O resource methods that Groovy adds.
For example in some cases you will prefer to use aReader
, but still benefit from the automatic resource managementfrom Groovy. In the next example, the readerwill be closed even if the exception occurs:
def count = 0, MAXSIZE = 3new File(baseDir,"haiku.txt").withReader { reader -> while (reader.readLine()) { if (++count > MAXSIZE) { throw new RuntimeException('Haiku should only have 3 verses') } }}
Should you need to collect the lines of a text file into a list, you can do:
def list = new File(baseDir, 'haiku.txt').collect {it}
Or you can even leverage theas
operator to get the contents of the file into an array of lines:
def array = new File(baseDir, 'haiku.txt') as String[]
How many times did you have to get the contents of a file into abyte[]
and how much code does it require? Groovymakes it very easy actually:
byte[] contents = file.bytes
Working with I/O is not limited to dealing with files. In fact, a lot of operations rely on input/output streams,hence why Groovy adds a lot of support methods to those, as you can see in thedocumentation.
As an example, you can obtain anInputStream
from aFile
very easily:
def is = new File(baseDir,'haiku.txt').newInputStream()// do something ...is.close()
However you can see that it requires you to deal with closing the inputstream. In Groovy it is in general a betteridea to use thewithInputStream
idiom that will take care of that for you:
new File(baseDir,'haiku.txt').withInputStream { stream -> // do something ...}
Of course in some cases you won’t want to read but write a file. One of the options is to use aWriter
:
new File(baseDir,'haiku.txt').withWriter('utf-8') { writer -> writer.writeLine 'Into the ancient pond' writer.writeLine 'A frog jumps' writer.writeLine 'Water’s sound!'}
But for such a simple example, using the<<
operator would have been enough:
new File(baseDir,'haiku.txt') << '''Into the ancient pondA frog jumpsWater’s sound!'''
Of course we do not always deal with text contents, so you could use theWriter
or directly write bytes as inthis example:
file.bytes = [66,22,11]
Of course you can also directly deal with output streams. For example, here is how you would create an outputstream to write into a file:
def os = new File(baseDir,'data.bin').newOutputStream()// do something ...os.close()
However you can see that it requires you to deal with closing the output stream. Again it is in general a betteridea to use thewithOutputStream
idiom that will handle the exceptions and close the stream in any case:
new File(baseDir,'data.bin').withOutputStream { stream -> // do something ...}
In scripting contexts it is a common task to traverse a file tree in order to find some specific files and dosomething with them. Groovy provides multiple methods to do this. For example you can perform something on all filesof a directory:
dir.eachFile { file ->(1) println file.name}dir.eachFileMatch(~/.*\.txt/) { file ->(2) println file.name}
1 | executes the closure code on each file found in the directory |
2 | executes the closure code on files in the directory matching the specified pattern |
Often you will have to deal with a deeper hierarchy of files, in which case you can useeachFileRecurse
:
dir.eachFileRecurse { file ->(1) println file.name}dir.eachFileRecurse(FileType.FILES) { file ->(2) println file.name}
1 | executes the closure code on each file or directory found in the directory, recursively |
2 | executes the closure code only on files, but recursively |
For more complex traversal techniques you can use thetraverse
method, which requires you to set a special flagindicating what to do with the traversal:
dir.traverse { file -> if (file.directory && file.name=='bin') { FileVisitResult.TERMINATE(1) } else { println file.name FileVisitResult.CONTINUE(2) }}
1 | if the current file is a directory and its name isbin , stop the traversal |
2 | otherwise print the file name and continue |
In Java it is not uncommon to serialize and deserialize data using thejava.io.DataOutputStream
andjava.io.DataInputStream
classes respectively. Groovy will make it even easier to deal with them. For example, you couldserialize data into a file and deserialize it using this code:
boolean b = trueString message = 'Hello from Groovy'// Serialize data into a filefile.withDataOutputStream { out -> out.writeBoolean(b) out.writeUTF(message)}// ...// Then read it backfile.withDataInputStream { input -> assert input.readBoolean() == b assert input.readUTF() == message}
And similarly, if the data you want to serialize implements theSerializable
interface, you can proceed withan object output stream, as illustrated here:
Person p = new Person(name:'Bob', age:76)// Serialize data into a filefile.withObjectOutputStream { out -> out.writeObject(p)}// ...// Then read it backfile.withObjectInputStream { input -> def p2 = input.readObject() assert p2.name == p.name assert p2.age == p.age}
The previous section described how easy it was to deal with files, readers or streams in Groovy. However in domainslike system administration or devops it is often required to communicate with external processes.
Groovy provides a simple way to execute command line processes. Simplywrite the command line as a string and call theexecute()
method.E.g., on a *nix machine (or a Windows machine with appropriate *nixcommands installed), you can execute this:
def process = "ls -l".execute()(1)println "Found text ${process.text}"(2)
1 | executes thels command in an external process |
2 | consume the output of the command and retrieve the text |
Theexecute()
method returns ajava.lang.Process
instance which willsubsequently allow the in/out/err streams to be processed and the exitvalue from the process to be inspected etc.
e.g. here is the same command as above but we will now process theresulting stream a line at a time:
def process = "ls -l".execute()(1)process.in.eachLine { line ->(2) println line(3)}
1 | executes thels command in an external process |
2 | for each line of the input stream of the process |
3 | print the line |
It is worth noting thatin
corresponds to an input stream to the standard output of the command.out
will referto a stream where you can send data to the process (its standard input).
Remember that many commands are shell built-ins and need specialhandling. So if you want a listing of files in a directory on a Windowsmachine and write:
def process = "dir".execute()println "${process.text}"
you will receive anIOException
saying Cannot run program "dir":CreateProcess error=2, The system cannot find the file specified.
This is becausedir
is built-in to the Windows shell (cmd.exe
) andcan’t be run as a simple executable. Instead, you will need to write:
def process = "cmd /c dir".execute()println "${process.text}"
Also, because this functionality currently makes use ofjava.lang.Process
undercover, the deficiencies of that classmust be taken into consideration. In particular, the javadocfor this class says:
Because some native platforms only provide limited buffer size forstandard input and output streams, failure to promptly write the inputstream or read the output stream of the subprocess may cause thesubprocess to block, and even deadlock
Because of this, Groovy provides some additional helper methods whichmake stream handling for processes easier.
Here is how to gobble all of the output (including the error streamoutput) from your process:
def p = "rm -f foo.tmp".execute([], tmpDir)p.consumeProcessOutput()p.waitFor()
There are also variations ofconsumeProcessOutput
that make use ofStringBuffer
,InputStream
,OutputStream
etc… For a complete list, please read theGDK API for java.lang.Process
In addition, there is apipeTo
command (mapped to|
to allow overloading) which lets the output stream of one process be fedinto the input stream of another process.
Here are some examples of use:
proc1 = 'ls'.execute()proc2 = 'tr -d o'.execute()proc3 = 'tr -d e'.execute()proc4 = 'tr -d i'.execute()proc1 | proc2 | proc3 | proc4proc4.waitFor()if (proc4.exitValue()) { println proc4.err.text} else { println proc4.text}
def sout = new StringBuilder()def serr = new StringBuilder()proc2 = 'tr -d o'.execute()proc3 = 'tr -d e'.execute()proc4 = 'tr -d i'.execute()proc4.consumeProcessOutput(sout, serr)proc2 | proc3 | proc4[proc2, proc3].each { it.consumeProcessErrorStream(serr) }proc2.withWriter { writer -> writer << 'testfile.groovy'}proc4.waitForOrKill(1000)println "Standard output: $sout"println "Standard error: $serr"
Groovy provides native support for various collection types, includinglists,maps orranges. Most of those are based on the Javacollection types and decorated with additional methods found in theGroovy development kit.
You can create lists as follows. Notice that[]
is the empty listexpression.
def list = [5, 6, 7, 8]assert list.get(2) == 7assert list[2] == 7assert list instanceof java.util.Listdef emptyList = []assert emptyList.size() == 0emptyList.add(5)assert emptyList.size() == 1
Each list expression creates an implementation ofjava.util.List.
Of course lists can be used as a source to construct another list:
def list1 = ['a', 'b', 'c']//construct a new list, seeded with the same items as in list1def list2 = new ArrayList<String>(list1)assert list2 == list1 // == checks that each corresponding element is the same// clone() can also be calleddef list3 = list1.clone()assert list3 == list1
A list is an ordered collection of objects:
def list = [5, 6, 7, 8]assert list.size() == 4assert list.getClass() == ArrayList // the specific kind of list being usedassert list[2] == 7 // indexing starts at 0assert list.getAt(2) == 7 // equivalent method to subscript operator []assert list.get(2) == 7 // alternative methodlist[2] = 9assert list == [5, 6, 9, 8,] // trailing comma OKlist.putAt(2, 10) // equivalent method to [] when value being changedassert list == [5, 6, 10, 8]assert list.set(2, 11) == 10 // alternative method that returns old valueassert list == [5, 6, 11, 8]assert ['a', 1, 'a', 'a', 2.5, 2.5f, 2.5d, 'hello', 7g, null, 9 as byte]//objects can be of different types; duplicates allowedassert [1, 2, 3, 4, 5][-1] == 5 // use negative indices to count from the endassert [1, 2, 3, 4, 5][-2] == 4assert [1, 2, 3, 4, 5].getAt(-2) == 4 // getAt() available with negative index...try { [1, 2, 3, 4, 5].get(-2) // but negative index not allowed with get() assert false} catch (e) { assert e instanceof IndexOutOfBoundsException}
Lists can be evaluated as aboolean
value:
assert ![] // an empty list evaluates as false//all other lists, irrespective of contents, evaluate as trueassert [1] && ['a'] && [0] && [0.0] && [false] && [null]
Iterating on elements of a list is usually done calling theeach
andeachWithIndex
methods, which execute code on eachitem of a list:
[1, 2, 3].each { println "Item: $it" // `it` is an implicit parameter corresponding to the current element}['a', 'b', 'c'].eachWithIndex { it, i -> // `it` is the current element, while `i` is the index println "$i: $it"}
In addition to iterating, it is often useful to create a new list by transforming each of its elements intosomething else. This operation, often called mapping, is done in Groovy thanks to thecollect
method:
assert [1, 2, 3].collect { it * 2 } == [2, 4, 6]// shortcut syntax instead of collectassert [1, 2, 3]*.multiply(2) == [1, 2, 3].collect { it.multiply(2) }def list = [0]// it is possible to give `collect` the list which collects the elementsassert [1, 2, 3].collect(list) { it * 2 } == [0, 2, 4, 6]assert list == [0, 2, 4, 6]
TheGroovy development kit contains a lot of methods on collections that enhancethe standard collections with pragmatic methods, some of which are illustrated here:
assert [1, 2, 3].find { it > 1 } == 2 // find 1st element matching criteriaassert [1, 2, 3].findAll { it > 1 } == [2, 3] // find all elements matching critieriaassert ['a', 'b', 'c', 'd', 'e'].findIndexOf { // find index of 1st element matching criteria it in ['c', 'e', 'g']} == 2assert ['a', 'b', 'c', 'd', 'c'].indexOf('c') == 2 // index returnedassert ['a', 'b', 'c', 'd', 'c'].indexOf('z') == -1 // index -1 means value not in listassert ['a', 'b', 'c', 'd', 'c'].lastIndexOf('c') == 4assert [1, 2, 3].every { it < 5 } // returns true if all elements match the predicateassert ![1, 2, 3].every { it < 3 }assert [1, 2, 3].any { it > 2 } // returns true if any element matches the predicateassert ![1, 2, 3].any { it > 3 }assert [1, 2, 3, 4, 5, 6].sum() == 21 // sum anything with a plus() methodassert ['a', 'b', 'c', 'd', 'e'].sum { it == 'a' ? 1 : it == 'b' ? 2 : it == 'c' ? 3 : it == 'd' ? 4 : it == 'e' ? 5 : 0 // custom value to use in sum} == 15assert ['a', 'b', 'c', 'd', 'e'].sum { ((char) it) - ((char) 'a') } == 10assert ['a', 'b', 'c', 'd', 'e'].sum() == 'abcde'assert [['a', 'b'], ['c', 'd']].sum() == ['a', 'b', 'c', 'd']// an initial value can be providedassert [].sum(1000) == 1000assert [1, 2, 3].sum(1000) == 1006assert [1, 2, 3].join('-') == '1-2-3' // String joiningassert [1, 2, 3].inject('counting: ') { str, item -> str + item // reduce operation} == 'counting: 123'assert [1, 2, 3].inject(0) { count, item -> count + item} == 6
And here is idiomatic Groovy code for finding the maximum and minimum in a collection:
def list = [9, 4, 2, 10, 5]assert list.max() == 10assert list.min() == 2// we can also compare single characters, as anything comparableassert ['x', 'y', 'a', 'z'].min() == 'a'// we can use a closure to specify the sorting behaviourdef list2 = ['abc', 'z', 'xyzuvw', 'Hello', '321']assert list2.max { it.size() } == 'xyzuvw'assert list2.min { it.size() } == 'z'
In addition to closures, you can use aComparator
to define the comparison criteria:
Comparator mc = { a, b -> a == b ? 0 : (a < b ? -1 : 1) }def list = [7, 4, 9, -6, -1, 11, 2, 3, -9, 5, -13]assert list.max(mc) == 11assert list.min(mc) == -13Comparator mc2 = { a, b -> a == b ? 0 : (Math.abs(a) < Math.abs(b)) ? -1 : 1 }assert list.max(mc2) == -13assert list.min(mc2) == -1assert list.max { a, b -> a.equals(b) ? 0 : Math.abs(a) < Math.abs(b) ? -1 : 1 } == -13assert list.min { a, b -> a.equals(b) ? 0 : Math.abs(a) < Math.abs(b) ? -1 : 1 } == -1
We can use[]
to assign a new empty list and<<
to append items to it:
def list = []assert list.emptylist << 5assert list.size() == 1list << 7 << 'i' << 11assert list == [5, 7, 'i', 11]list << ['m', 'o']assert list == [5, 7, 'i', 11, ['m', 'o']]//first item in chain of << is target listassert ([1, 2] << 3 << [4, 5] << 6) == [1, 2, 3, [4, 5], 6]//using leftShift is equivalent to using <<assert ([1, 2, 3] << 4) == ([1, 2, 3].leftShift(4))
We can add to a list in many ways:
assert [1, 2] + 3 + [4, 5] + 6 == [1, 2, 3, 4, 5, 6]// equivalent to calling the `plus` methodassert [1, 2].plus(3).plus([4, 5]).plus(6) == [1, 2, 3, 4, 5, 6]def a = [1, 2, 3]a += 4 // creates a new list and assigns it to `a`a += [5, 6]assert a == [1, 2, 3, 4, 5, 6]assert [1, *[222, 333], 456] == [1, 222, 333, 456]assert [*[1, 2, 3]] == [1, 2, 3]assert [1, [2, 3, [4, 5], 6], 7, [8, 9]].flatten() == [1, 2, 3, 4, 5, 6, 7, 8, 9]def list = [1, 2]list.add(3)list.addAll([5, 4])assert list == [1, 2, 3, 5, 4]list = [1, 2]list.add(1, 3) // add 3 just before index 1assert list == [1, 3, 2]list.addAll(2, [5, 4]) //add [5,4] just before index 2assert list == [1, 3, 5, 4, 2]list = ['a', 'b', 'z', 'e', 'u', 'v', 'g']list[8] = 'x' // the [] operator is growing the list as needed// nulls inserted if requiredassert list == ['a', 'b', 'z', 'e', 'u', 'v', 'g', null, 'x']
It is however important that the+
operator on a list isnot mutating. Compared to<<
, it will create a newlist, which is often not what you want and can lead to performance issues.
TheGroovy development kit also contains methods allowing you to easily remove elements from a list by value:
assert ['a','b','c','b','b'] - 'c' == ['a','b','b','b']assert ['a','b','c','b','b'] - 'b' == ['a','c']assert ['a','b','c','b','b'] - ['b','c'] == ['a']def list = [1,2,3,4,3,2,1]list -= 3 // creates a new list by removing `3` from the original oneassert list == [1,2,4,2,1]assert ( list -= [2,4] ) == [1,1]
It is also possible to remove an element by passing its index to theremove
method, in which case the list is mutated:
def list = ['a','b','c','d','e','f','b','b','a']assert list.remove(2) == 'c' // remove the third element, and return itassert list == ['a','b','d','e','f','b','b','a']
In case you only want to remove the first element having the same value in a list, instead of removing allelements, you can call theremove
method passing the value:
def list= ['a','b','c','b','b']assert list.remove('c') // remove 'c', and return true because element removedassert list.remove('b') // remove first 'b', and return true because element removedassert ! list.remove('z') // return false because no elements removedassert list == ['a','b','b']
As you can see, there are tworemove
methods available. One that takes an integer and removes an elementby its index, and another that will remove the first element that matches the passed value. So what should wedo when we have a list of integers? In this case, you may wish to useremoveAt
to remove an element by itsindex, andremoveElement
to remove the first element that matches a value.
def list = [1,2,3,4,5,6,2,2,1]assert list.remove(2) == 3 // this removes the element at index 2, and returns itassert list == [1,2,4,5,6,2,2,1]assert list.removeElement(2) // remove first 2 and return trueassert list == [1,4,5,6,2,2,1]assert ! list.removeElement(8) // return false because 8 is not in the listassert list == [1,4,5,6,2,2,1]assert list.removeAt(1) == 4 // remove element at index 1, and return itassert list == [1,5,6,2,2,1]
Of course,removeAt
andremoveElement
will work with lists of any type.
Additionally, removing all the elements in a list can be done by calling theclear
method:
def list= ['a',2,'c',4]list.clear()assert list == []
TheGroovy development kit also includes methods making it easy to reason on sets:
assert 'a' in ['a','b','c'] // returns true if an element belongs to the listassert ['a','b','c'].contains('a') // equivalent to the `contains` method in Javaassert [1,3,4].containsAll([1,4]) // `containsAll` will check that all elements are foundassert [1,2,3,3,3,3,4,5].count(3) == 4 // count the number of elements which have some valueassert [1,2,3,3,3,3,4,5].count { it%2==0 // count the number of elements which match the predicate} == 2assert [1,2,4,6,8,10,12].intersect([1,3,6,9,12]) == [1,6,12]assert [1,2,3].disjoint( [4,6,9] )assert ![1,2,3].disjoint( [2,4,6] )
Working with collections often implies sorting. Groovy offers a variety of options to sort lists,from using closures to comparators, as in the following examples:
assert [6, 3, 9, 2, 7, 1, 5].sort() == [1, 2, 3, 5, 6, 7, 9]def list = ['abc', 'z', 'xyzuvw', 'Hello', '321']assert list.sort { it.size()} == ['z', 'abc', '321', 'Hello', 'xyzuvw']def list2 = [7, 4, -6, -1, 11, 2, 3, -9, 5, -13]assert list2.sort { a, b -> a == b ? 0 : Math.abs(a) < Math.abs(b) ? -1 : 1 } == [-1, 2, 3, 4, 5, -6, 7, -9, 11, -13]Comparator mc = { a, b -> a == b ? 0 : Math.abs(a) < Math.abs(b) ? -1 : 1 }// JDK 8+ only// list2.sort(mc)// assert list2 == [-1, 2, 3, 4, 5, -6, 7, -9, 11, -13]def list3 = [6, -3, 9, 2, -7, 1, 5]Collections.sort(list3)assert list3 == [-7, -3, 1, 2, 5, 6, 9]Collections.sort(list3, mc)assert list3 == [1, 2, -3, 5, 6, -7, 9]
TheGroovy development kit also takes advantage of operator overloading to provide methods allowing duplication of elementsof a list:
assert [1, 2, 3] * 3 == [1, 2, 3, 1, 2, 3, 1, 2, 3]assert [1, 2, 3].multiply(2) == [1, 2, 3, 1, 2, 3]assert Collections.nCopies(3, 'b') == ['b', 'b', 'b']// nCopies from the JDK has different semantics than multiply for listsassert Collections.nCopies(2, [1, 2]) == [[1, 2], [1, 2]] //not [1,2,1,2]
In Groovy, maps (also known as associative arrays) can be created using the map literal syntax:[:]
:
def map = [name: 'Gromit', likes: 'cheese', id: 1234]assert map.get('name') == 'Gromit'assert map.get('id') == 1234assert map['name'] == 'Gromit'assert map['id'] == 1234assert map instanceof java.util.Mapdef emptyMap = [:]assert emptyMap.size() == 0emptyMap.put("foo", 5)assert emptyMap.size() == 1assert emptyMap.get("foo") == 5
Map keys are strings by default:[a:1]
is equivalent to['a':1]
. This can be confusing if you define a variablenameda
and that you want thevalue ofa
to be the key in your map. If this is the case, then youmust escapethe key by adding parenthesis, like in the following example:
def a = 'Bob'def ages = [a: 43]assert ages['Bob'] == null // `Bob` is not foundassert ages['a'] == 43 // because `a` is a literal!ages = [(a): 43] // now we escape `a` by using parenthesisassert ages['Bob'] == 43 // and the value is found!
In addition to map literals, it is possible, to get a new copy of a map, to clone it:
def map = [ simple : 123, complex: [a: 1, b: 2]]def map2 = map.clone()assert map2.get('simple') == map.get('simple')assert map2.get('complex') == map.get('complex')map2.get('complex').put('c', 3)assert map.get('complex').get('c') == 3
The resulting map is ashallow copy of the original one, as illustrated in the previous example.
Maps also act like beans so you can use the property notation to get/setitems inside theMap
as long as the keys are strings which are validGroovy identifiers:
def map = [name: 'Gromit', likes: 'cheese', id: 1234]assert map.name == 'Gromit' // can be used instead of map.get('name')assert map.id == 1234def emptyMap = [:]assert emptyMap.size() == 0emptyMap.foo = 5assert emptyMap.size() == 1assert emptyMap.foo == 5
Note: by designmap.foo
will always look for the keyfoo
in the map. Thismeansfoo.class
will returnnull
on a map that doesn’t contain theclass
key. Should you really want to knowthe class, then you must usegetClass()
:
def map = [name: 'Gromit', likes: 'cheese', id: 1234]assert map.class == nullassert map.get('class') == nullassert map.getClass() == LinkedHashMap // this is probably what you wantmap = [1 : 'a', (true) : 'p', (false): 'q', (null) : 'x', 'null' : 'z']assert map.containsKey(1) // 1 is not an identifier so used as isassert map.true == nullassert map.false == nullassert map.get(true) == 'p'assert map.get(false) == 'q'assert map.null == 'z'assert map.get(null) == 'x'
As usual in theGroovy development kit, idiomatic iteration on maps makes use of theeach
andeachWithIndex
methods.It’s worth noting that maps created using the map literal notation areordered, that is to say that if you iterateon map entries, it is guaranteed that the entries will be returned in the same order they were added in the map.
def map = [ Bob : 42, Alice: 54, Max : 33]// `entry` is a map entrymap.each { entry -> println "Name: $entry.key Age: $entry.value"}// `entry` is a map entry, `i` the index in the mapmap.eachWithIndex { entry, i -> println "$i - Name: $entry.key Age: $entry.value"}// Alternatively you can use key and value directlymap.each { key, value -> println "Name: $key Age: $value"}// Key, value and i as the index in the mapmap.eachWithIndex { key, value, i -> println "$i - Name: $key Age: $value"}
Adding an element to a map can be done either using theput
method, the subscript operator or usingputAll
:
def defaults = [1: 'a', 2: 'b', 3: 'c', 4: 'd']def overrides = [2: 'z', 5: 'x', 13: 'x']def result = new LinkedHashMap(defaults)result.put(15, 't')result[17] = 'u'result.putAll(overrides)assert result == [1: 'a', 2: 'z', 3: 'c', 4: 'd', 5: 'x', 13: 'x', 15: 't', 17: 'u']
Removing all the elements of a map can be done by calling theclear
method:
def m = [1:'a', 2:'b']assert m.get(1) == 'a'm.clear()assert m == [:]
Maps generated using the map literal syntax are using the objectequals
andhashcode
methods. This means thatyou shouldnever use an object which hash code is subject to change over time, or you wouldn’t be able to getthe associated value back.
It is also worth noting that you shouldnever use aGString
as the key of a map, because the hash code of aGString
is not the same as the hash code of an equivalentString
:
def key = 'some key'def map = [:]def gstringKey = "${key.toUpperCase()}"map.put(gstringKey,'value')assert map.get('SOME KEY') == null
We can inspect the keys, values, and entries in a view:
def map = [1:'a', 2:'b', 3:'c']def entries = map.entrySet()entries.each { entry -> assert entry.key in [1,2,3] assert entry.value in ['a','b','c']}def keys = map.keySet()assert keys == [1,2,3] as Set
Mutating values returned by the view (be it a map entry, a key or a value) is highly discouraged because successof the operation directly depends on the type of the map being manipulated. In particular, Groovy relies on collectionsfrom the JDK that in general make no guarantee that a collection can safely be manipulated throughkeySet
,entrySet
, orvalues
.
TheGroovy development kit contains filtering, searching and collecting methods similar to those foundforlists:
def people = [ 1: [name:'Bob', age: 32, gender: 'M'], 2: [name:'Johnny', age: 36, gender: 'M'], 3: [name:'Claire', age: 21, gender: 'F'], 4: [name:'Amy', age: 54, gender:'F']]def bob = people.find { it.value.name == 'Bob' } // find a single entrydef females = people.findAll { it.value.gender == 'F' }// both return entries, but you can use collect to retrieve the ages for exampledef ageOfBob = bob.value.agedef agesOfFemales = females.collect { it.value.age}assert ageOfBob == 32assert agesOfFemales == [21,54]// but you could also use a key/pair value as the parameters of the closuresdef agesOfMales = people.findAll { id, person -> person.gender == 'M'}.collect { id, person -> person.age}assert agesOfMales == [32, 36]// `every` returns true if all entries match the predicateassert people.every { id, person -> person.age > 18}// `any` returns true if any entry matches the predicateassert people.any { id, person -> person.age == 54}
We can group a list into a map using some criteria:
assert ['a', 7, 'b', [2, 3]].groupBy { it.class} == [(String) : ['a', 'b'], (Integer) : [7], (ArrayList): [[2, 3]]]assert [ [name: 'Clark', city: 'London'], [name: 'Sharma', city: 'London'], [name: 'Maradona', city: 'LA'], [name: 'Zhang', city: 'HK'], [name: 'Ali', city: 'HK'], [name: 'Liu', city: 'HK'],].groupBy { it.city } == [ London: [[name: 'Clark', city: 'London'], [name: 'Sharma', city: 'London']], LA : [[name: 'Maradona', city: 'LA']], HK : [[name: 'Zhang', city: 'HK'], [name: 'Ali', city: 'HK'], [name: 'Liu', city: 'HK']],]
Ranges allow you to create a list of sequential values. These can beused asList
sinceRange extendsjava.util.List.
Ranges defined with the..
notation are inclusive (that is the listcontains the from and to value).
Ranges defined with the..<
notation are half-open, they include thefirst value but not the last value.
Ranges defined with the<..
notation are also half-open, they include thelast value but not the first value.
Ranges defined with the<..<
notation are full-open, they do not include thefirst value nor the last value.
// an inclusive rangedef range = 5..8assert range.size() == 4assert range.get(2) == 7assert range[2] == 7assert range instanceof java.util.Listassert range.contains(5)assert range.contains(8)// lets use a half-open rangerange = 5..<8assert range.size() == 3assert range.get(2) == 7assert range[2] == 7assert range instanceof java.util.Listassert range.contains(5)assert !range.contains(8)//get the end points of the range without using indexesrange = 1..10assert range.from == 1assert range.to == 10
Note that int ranges are implemented efficiently, creating a lightweightJava object containing a from and to value.
Ranges can be used for any Java object which implements java.lang.Comparablefor comparison and also have methodsnext()
andprevious()
to return thenext / previous item in the range. For example, you can create a range ofString
elements:
// an inclusive rangedef range = 'a'..'d'assert range.size() == 4assert range.get(2) == 'c'assert range[2] == 'c'assert range instanceof java.util.Listassert range.contains('a')assert range.contains('d')assert !range.contains('e')
You can iterate on a range using a classicfor
loop:
for (i in 1..10) { println "Hello ${i}"}
but alternatively you can achieve the same effect in a more Groovy idiomatic style, by iterating a rangewitheach
method:
(1..10).each { i -> println "Hello ${i}"}
Ranges can be also used in theswitch
statement:
switch (years) { case 1..10: interestRate = 0.076; break; case 11..25: interestRate = 0.052; break; default: interestRate = 0.037;}
Thanks to the support of property notation for both lists and maps, Groovy provides syntactic sugar making itreally easy to deal with nested collections, as illustrated in the following examples:
def listOfMaps = [['a': 11, 'b': 12], ['a': 21, 'b': 22]]assert listOfMaps.a == [11, 21] //GPath notationassert listOfMaps*.a == [11, 21] //spread dot notationlistOfMaps = [['a': 11, 'b': 12], ['a': 21, 'b': 22], null]assert listOfMaps*.a == [11, 21, null] // caters for null valuesassert listOfMaps*.a == listOfMaps.collect { it?.a } //equivalent notation// But this will only collect non-null valuesassert listOfMaps.a == [11,21]
The spread operator can be used to "inline" a collection into another. It is syntactic sugar which often avoids callstoputAll
and facilitates the realization of one-liners:
assert [ 'z': 900, *: ['a': 100, 'b': 200], 'a': 300] == ['a': 300, 'b': 200, 'z': 900]//spread map notation in map definitionassert [*: [3: 3, *: [5: 5]], 7: 7] == [3: 3, 5: 5, 7: 7]def f = { [1: 'u', 2: 'v', 3: 'w'] }assert [*: f(), 10: 'zz'] == [1: 'u', 10: 'zz', 2: 'v', 3: 'w']//spread map notation in function argumentsf = { map -> map.c }assert f(*: ['a': 10, 'b': 20, 'c': 30], 'e': 50) == 30f = { m, i, j, k -> [m, i, j, k] }//using spread map notation with mixed unnamed and named argumentsassert f('e': 100, *[4, 5], *: ['a': 10, 'b': 20, 'c': 30], 6) == [["e": 100, "b": 20, "c": 30, "a": 10], 4, 5, 6]
The "star-dot" operator is a shortcut operator allowing you to call a method or a property on all elements of acollection:
assert [1, 3, 5] == ['a', 'few', 'words']*.size()class Person { String name int age}def persons = [new Person(name:'Hugo', age:17), new Person(name:'Sandra',age:19)]assert [17, 19] == persons*.age
You can index into lists, arrays, maps using the subscript expression. It is interesting that stringsare considered as special kinds of collections in that context:
def text = 'nice cheese gromit!'def x = text[2]assert x == 'c'assert x.class == Stringdef sub = text[5..10]assert sub == 'cheese'def list = [10, 11, 12, 13]def answer = list[2,3]assert answer == [12,13]
Notice that you can use ranges to extract part of a collection:
list = 100..200sub = list[1, 3, 20..25, 33]assert sub == [101, 103, 120, 121, 122, 123, 124, 125, 133]
The subscript operator can be used to update an existing collection (for collection type which are not immutable):
list = ['a','x','x','d']list[1..2] = ['b','c']assert list == ['a','b','c','d']
It is worth noting that negative indices are allowed, to extract more easily from the end of a collection:
text = "nice cheese gromit!"x = text[-1]assert x == "!"
You can use negative indices to count from the end of the List, array,String etc.
def name = text[-7..-2]assert name == "gromit"
Eventually, if you use a backwards range (the starting index is greater thanthe end index), then the answer is reversed.
text = "nice cheese gromit!"name = text[3..1]assert name == "eci"
In addition tolists,maps orranges, Groovy offersa lot of additional methods for filtering, collecting, grouping, counting, … which are directly available on eithercollections or more easily iterables.
In particular, we invite you to read theGroovy development kit API docs and specifically:
Groovy provides array support based on Java arrays with several extensions found in theGroovy development kit. The overallintention is that whether you are using an array or a collection, the code for working with the aggregate remains the same.
You can create arrays as follows. Notice that[]
is also used as the empty arrayexpression when given an explicit array type.
Integer[] nums = [5, 6, 7, 8]assert nums[1] == 6assert nums.getAt(2) == 7 // alternative syntaxassert nums[-1] == 8 // negative indicesassert nums instanceof Integer[]int[] primes = [2, 3, 5, 7] // primitivesassert primes instanceof int[]def evens = new int[]{2, 4, 6} // alt syntax 1assert evens instanceof int[]def odds = [1, 3, 5] as int[] // alt syntax 2assert odds instanceof int[]// empty array examplesInteger[] emptyNums = []assert emptyNums instanceof Integer[] && emptyNums.size() == 0def emptyStrings = new String[]{} // alternative syntax 1assert emptyStrings instanceof String[] && emptyStrings.size() == 0var emptyObjects = new Object[0] // alternative syntax 2assert emptyObjects instanceof Object[] && emptyObjects.size() == 0
Iterating on elements of a list is usually done calling theeach
andeachWithIndex
methods, which execute code on eachitem of a list:
String[] vowels = ['a', 'e', 'i', 'o', 'u']var result = ''vowels.each { result += it}assert result == 'aeiou'result = ''vowels.eachWithIndex { v, i -> result += v * i // index starts from 0}assert result == 'eiiooouuuu'
There are numerous other GDK methods for working with arrays.Just be a little careful to read the documentation.For collections, there are some mutating methods which alterthe original collection and others which produce new collections,leaving the original untouched.Since arrays are of a fixed size, we wouldn’t expect mutatingmethods which altered an array’s size. Often instead, such methods returncollections. Here are some interesting array GDK methods:
int[] nums = [1, 2, 3]def doubled = nums.collect { it * 2 }assert doubled == [2, 4, 6] && doubled instanceof Listdef tripled = nums*.multiply(3)assert tripled == [3, 6, 9] && doubled instanceof Listassert nums.any{ it > 2 }assert nums.every{ it < 4 }assert nums.average() == 2assert nums.min() == 1assert nums.max() == 3assert nums.sum() == 6assert nums.indices == [0, 1, 2]assert nums.swap(0, 2) == [3, 2, 1] as int[]
Thegroovy-dateutil
module supports numerous extensions for working withJava’s classicDate
andCalendar
classes.
You can access the properties of aDate
orCalendar
using the normal array index notationwith the constant field numbers from theCalendar
class as shown in the following example:
import static java.util.Calendar.*(1)def cal = Calendar.instancecal[YEAR] = 2000(2)cal[MONTH] = JANUARY(2)cal[DAY_OF_MONTH] = 1(2)assert cal[DAY_OF_WEEK] == SATURDAY(3)
1 | Import the constants |
2 | Setting the calendar’s year, month and day of month |
3 | Accessing the calendar’s day of week |
Groovy supports arithmetic on and iteration betweenDate
andCalendar
instances as shown in the following example:
def utc = TimeZone.getTimeZone('UTC')Date date = Date.parse("yyyy-MM-dd HH:mm", "2010-05-23 09:01", utc)def prev = date - 1def next = date + 1def diffInDays = next - prevassert diffInDays == 2int count = 0prev.upto(next) { count++ }assert count == 3
You can parse strings into dates and output dates into formatted strings:
def orig = '2000-01-01'def newYear = Date.parse('yyyy-MM-dd', orig)assert newYear[DAY_OF_WEEK] == SATURDAYassert newYear.format('yyyy-MM-dd') == origassert newYear.format('dd/MM/yyyy') == '01/01/2000'
You can also create a new Date or Calendar based on an existing one:
def newYear = Date.parse('yyyy-MM-dd', '2000-01-01')def newYearsEve = newYear.copyWith( year: 1999, month: DECEMBER, dayOfMonth: 31)assert newYearsEve[DAY_OF_WEEK] == FRIDAY
Thegroovy-datetime
module supports numerous extensions for working withtheDate/Time APIintroduced in Java 8. This documentation refers to the data types defined by this API as"JSR 310 types."
A common use case when working with date/time types is to convert them to Strings (formatting)and from Strings (parsing). Groovy provides these additional formatting methods:
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For parsing, Groovy adds a staticparse
method to many of the JSR 310 types. The methodtakes two arguments: the value to be formatted and the pattern to use. The pattern isdefined by thejava.time.format.DateTimeFormatter
API.As an example:
def date = LocalDate.parse('Jun 3, 04', 'MMM d, yy')assert date == LocalDate.of(2004, Month.JUNE, 3)def time = LocalTime.parse('4:45', 'H:mm')assert time == LocalTime.of(4, 45, 0)def offsetTime = OffsetTime.parse('09:47:51-1234', 'HH:mm:ssZ')assert offsetTime == OffsetTime.of(9, 47, 51, 0, ZoneOffset.ofHoursMinutes(-12, -34))def dateTime = ZonedDateTime.parse('2017/07/11 9:47PM Pacific Standard Time', 'yyyy/MM/dd h:mma zzzz')assert dateTime == ZonedDateTime.of( LocalDate.of(2017, 7, 11), LocalTime.of(21, 47, 0), ZoneId.of('America/Los_Angeles'))
Note that theseparse
methods have a different argument ordering than the staticparse
method Groovy added tojava.util.Date
.This was done to be consistent with the existingparse
methods of the Date/Time API.
Temporal
types haveplus
andminus
methods for adding or subtracting a providedjava.time.temporal.TemporalAmount
argument. Because Groovy maps the+
and-
operatorsto single-argument methods of these names, a more natural expression syntax can be used to add and subtract.
def aprilFools = LocalDate.of(2018, Month.APRIL, 1)def nextAprilFools = aprilFools + Period.ofDays(365) // add 365 daysassert nextAprilFools.year == 2019def idesOfMarch = aprilFools - Period.ofDays(17) // subtract 17 daysassert idesOfMarch.dayOfMonth == 15assert idesOfMarch.month == Month.MARCH
Groovy provides additionalplus
andminus
methods that accept an integer argument,enabling the above to be rewritten more succinctly:
def nextAprilFools = aprilFools + 365 // add 365 daysdef idesOfMarch = aprilFools - 17 // subtract 17 days
The unit of these integers depends on the JSR 310 type operand. As evident above,integers used withChronoLocalDate
types likeLocalDate
have a unit ofdays.Integers used withYear
andYearMonth
have a unit ofyears andmonths, respectively.All other types have a unit ofseconds,such asLocalTime
, for instance:
def mars = LocalTime.of(12, 34, 56) // 12:34:56 pmdef thirtySecondsToMars = mars - 30 // go back 30 secondsassert thirtySecondsToMars.second == 26
The*
operator can be used to multiplyPeriod
andDuration
instances by aninteger value; the/
operator can be used to divideDuration
instances by an integer value.
def period = Period.ofMonths(1) * 2 // a 1-month period times 2assert period.months == 2def duration = Duration.ofSeconds(10) / 5// a 10-second duration divided by 5assert duration.seconds == 2
The++
and--
operators can be used increment and decrement date/time values by one unit. Since the JSR 310 typesare immutable, the operation will create a new instance with the incremented/decremented value and reassign it to thereference.
def year = Year.of(2000)--year // decrement by one yearassert year.value == 1999def offsetTime = OffsetTime.of(0, 0, 0, 0, ZoneOffset.UTC) // 00:00:00.000 UTCoffsetTime++ // increment by one secondassert offsetTime.second == 1
TheDuration
andPeriod
types represent a negative or positive length of time.These can be negated with the unary-
operator.
def duration = Duration.ofSeconds(-15)def negated = -durationassert negated.seconds == 15
ThegetLong(TemporalField)
method ofTemporalAccessor
types (e.g.LocalDate
,LocalTime
,ZonedDateTime
, etc.) and theget(TemporalUnit)
method ofTemporalAmount
types (namelyPeriod
andDuration
), can be invoked withGroovy’s property notation. For example:
def date = LocalDate.of(2018, Month.MARCH, 12)assert date[ChronoField.YEAR] == 2018assert date[ChronoField.MONTH_OF_YEAR] == Month.MARCH.valueassert date[ChronoField.DAY_OF_MONTH] == 12assert date[ChronoField.DAY_OF_WEEK] == DayOfWeek.MONDAY.valuedef period = Period.ofYears(2).withMonths(4).withDays(6)assert period[ChronoUnit.YEARS] == 2assert period[ChronoUnit.MONTHS] == 4assert period[ChronoUnit.DAYS] == 6
upto
, anddownto
The JSR 310 types can be used with therange operator.The following example iterates between today and theLocalDate
six days from now,printing out the day of the week for each iteration. As both range bounds are inclusive,this prints all seven days of the week.
def start = LocalDate.now()def end = start + 6 // 6 days later(start..end).each { date -> println date.dayOfWeek}
Theupto
method will accomplish the same as the range in the above example.Theupto
method iterates from the earlierstart
value (inclusive) to the laterend
value(also inclusive), calling the closure with the incrementednext
value once per iteration.
def start = LocalDate.now()def end = start + 6 // 6 days laterstart.upto(end) { next -> println next.dayOfWeek}
Thedownto
method iterates in the opposite direction, from a laterstart
valueto an earlierend
value.
The unit of iteration forupto
,downto
, and ranges is the same as the unit for additionand subtraction:LocalDate
iterates by one day at a time,YearMonth
iterates by one month,Year
by one year, and everything else by one second.Both methods also support an optional aTemporalUnit
argument to change the unit ofiteration.
Consider the following example, where March 1st, 2018 is iterated up to March 2nd, 2018using an iteration unit ofmonths.
def start = LocalDate.of(2018, Month.MARCH, 1)def end = start + 1 // 1 day laterint iterationCount = 0start.upto(end, ChronoUnit.MONTHS) { next -> println next ++iterationCount}assert iterationCount == 1
Since thestart
date is inclusive, the closure is called with anext
date value of March 1st.Theupto
method then increments the date by one month, yielding the date, April 1st.Because this date isafter the specifiedend
date of March 2nd, the iteration stops immediately,having only called the closure once. This behavior is the same for thedownto
method except thatthe iteration will stop as soon as the value ofnext
becomes earlier than the targetedend
date.
In short, when iterating with theupto
ordownto
methods with a custom unit of iteration,the current value of iteration will never exceed the end value.
The left-shift operator (<<
) can be used to combine two JSR 310 types into an aggregate type.For example, aLocalDate
can be left-shifted into aLocalTime
to produce a compositeLocalDateTime
instance.
MonthDay monthDay = Month.JUNE << 3 // June 3rdLocalDate date = monthDay << Year.of(2015) // 3-Jun-2015LocalDateTime dateTime = date << LocalTime.NOON // 3-Jun-2015 @ 12pmOffsetDateTime offsetDateTime = dateTime << ZoneOffset.ofHours(-5) // 3-Jun-2015 @ 12pm UTC-5
The left-shift operator is reflexive; the order of the operands does not matter.
def year = Year.of(2000)def month = Month.DECEMBERYearMonth a = year << monthYearMonth b = month << yearassert a == b
The right-shift operator (>>
) produces a value representing the period or duration between theoperands. ForChronoLocalDate
,YearMonth
, andYear
, the operator yieldsaPeriod
instance:
def newYears = LocalDate.of(2018, Month.JANUARY, 1)def aprilFools = LocalDate.of(2018, Month.APRIL, 1)def period = newYears >> aprilFoolsassert period instanceof Periodassert period.months == 3
The operator produces aDuration
for the time-aware JSR types:
def duration = LocalTime.NOON >> (LocalTime.NOON + 30)assert duration instanceof Durationassert duration.seconds == 30
If the value on the left-hand side of the operator is earlier than the value on the right-handside, the result is positive. If the left-hand side is later than the right-hand side, theresult is negative:
def decade = Year.of(2010) >> Year.of(2000)assert decade.years == -10
Despite the shortcomings ofDate
,Calendar
, andTimeZone
types in thejava.util
packagethey are fairly common in Java APIs (at least in those prior to Java 8).To accommodate use of such APIs, Groovy provides methods for converting between theJSR 310 types and legacy types.
Most JSR types have been fitted withtoDate()
andtoCalendar()
methods forconverting to relatively equivalentjava.util.Date
andjava.util.Calendar
values.BothZoneId
andZoneOffset
have been given atoTimeZone()
method for converting tojava.util.TimeZone
.
// LocalDate to java.util.Datedef valentines = LocalDate.of(2018, Month.FEBRUARY, 14)assert valentines.toDate().format('MMMM dd, yyyy') == 'February 14, 2018'// LocalTime to java.util.Datedef noon = LocalTime.of(12, 0, 0)assert noon.toDate().format('HH:mm:ss') == '12:00:00'// ZoneId to java.util.TimeZonedef newYork = ZoneId.of('America/New_York')assert newYork.toTimeZone() == TimeZone.getTimeZone('America/New_York')// ZonedDateTime to java.util.Calendardef valAtNoonInNY = ZonedDateTime.of(valentines, noon, newYork)assert valAtNoonInNY.toCalendar().getTimeZone().toZoneId() == newYork
Note that when converting to a legacy type:
Nanosecond values are truncated to milliseconds. ALocalTime
, for example, with aChronoUnit.NANOS
valueof 999,999,999 nanoseconds translates to 999 milliseconds.
When converting the "local" types (LocalDate
,LocalTime
, andLocalDateTime
), the time zone of thereturnedDate
orCalendar
will be the system default.
When converting a time-only type (LocalTime
orOffsetTime
), the year/month/day of theDate
orCalendar
is setto the current date.
When converting a date-only type (LocalDate
), the time value of theDate
orCalendar
will be cleared,i.e.00:00:00.000
.
When converting anOffsetDateTime
to aCalendar
, only the hours and minutes of theZoneOffset
conveyinto the correspondingTimeZone
. Fortunately, Zone Offsets with non-zero seconds are rare.
Groovy has added a number of methods toDate
andCalendar
for converting into the various JSR 310 types:
Date legacy = Date.parse('yyyy-MM-dd HH:mm:ss.SSS', '2010-04-03 10:30:58.999')assert legacy.toLocalDate() == LocalDate.of(2010, 4, 3)assert legacy.toLocalTime() == LocalTime.of(10, 30, 58, 999_000_000) // 999M ns = 999msassert legacy.toOffsetTime().hour == 10assert legacy.toYear() == Year.of(2010)assert legacy.toMonth() == Month.APRILassert legacy.toDayOfWeek() == DayOfWeek.SATURDAYassert legacy.toMonthDay() == MonthDay.of(Month.APRIL, 3)assert legacy.toYearMonth() == YearMonth.of(2010, Month.APRIL)assert legacy.toLocalDateTime().year == 2010assert legacy.toOffsetDateTime().dayOfMonth == 3assert legacy.toZonedDateTime().zone == ZoneId.systemDefault()
ConfigSlurper
is a utility class for reading configuration files defined in the form of Groovy scripts. Like it isthe case with Java*.properties
files,ConfigSlurper
allows a dot notation. But in addition, it allows for Closure scopedconfiguration values and arbitrary object types.
def config = new ConfigSlurper().parse(''' app.date = new Date()(1) app.age = 42 app {(2) name = "Test${42}" }''')assert config.app.date instanceof Dateassert config.app.age == 42assert config.app.name == 'Test42'
1 | Usage of the dot notation |
2 | Usage of Closure scopes as an alternative to the dot notation |
As can be seen in the above example, theparse
method can be used to retrievegroovy.util.ConfigObject
instances. TheConfigObject
is a specializedjava.util.Map
implementation that either returns the configured value or a newConfigObject
instance but nevernull
.
def config = new ConfigSlurper().parse(''' app.date = new Date() app.age = 42 app.name = "Test${42}"''')assert config.test != null(1)
1 | config.test has not been specified yet it returns aConfigObject when being called. |
In the case of a dot being part of a configuration variable name, it can be escaped by using single or double quotes.
def config = new ConfigSlurper().parse(''' app."person.age" = 42''')assert config.app."person.age" == 42
In addition,ConfigSlurper
comes with support forenvironments
. Theenvironments
method can be used to hand overa Closure instance that itself may consist of a several sections. Let’s say we wanted to create a particular configurationvalue for the development environment. When creating theConfigSlurper
instance we can use theConfigSlurper(String)
constructor to specify the target environment.
def config = new ConfigSlurper('development').parse(''' environments { development { app.port = 8080 } test { app.port = 8082 } production { app.port = 80 } }''')assert config.app.port == 8080
TheConfigSlurper environments aren’t restricted to any particular environment names. It solely depends on theConfigSlurper client code what value are supported and interpreted accordingly. |
Theenvironments
method is built-in but theregisterConditionalBlock
method can be used to register other method namesin addition to theenvironments
name.
def slurper = new ConfigSlurper()slurper.registerConditionalBlock('myProject', 'developers')(1)def config = slurper.parse(''' sendMail = true myProject { developers { sendMail = false } }''')assert !config.sendMail
1 | Once the new block is registeredConfigSlurper can parse it. |
For Java integration purposes thetoProperties
method can be used to convert theConfigObject
to ajava.util.Properties
object that might be stored to a*.properties
text file. Be aware though that the configuration values are converted toString
instances during adding them to the newly createdProperties
instance.
def config = new ConfigSlurper().parse(''' app.date = new Date() app.age = 42 app { name = "Test${42}" }''')def properties = config.toProperties()assert properties."app.date" instanceof Stringassert properties."app.age" == '42'assert properties."app.name" == 'Test42'
TheExpando
class can be used to create a dynamically expandable object. Despite its name it does not use theExpandoMetaClass
underneath. EachExpando
object represents a standalone, dynamically-crafted instance that can beextended with properties (or methods) at runtime.
def expando = new Expando()expando.name = 'John'assert expando.name == 'John'
A special case occurs when a dynamic property registers aClosure
code block. Once being registered it can be invokedas it would be done with a method call.
def expando = new Expando()expando.toString = { -> 'John' }expando.say = { String s -> "John says: ${s}" }assert expando as String == 'John'assert expando.say('Hi') == 'John says: Hi'
Groovy comes with observable lists, maps and sets. Each of these collections triggerjava.beans.PropertyChangeEvent
events when elementsare added, removed or changed. Note that aPropertyChangeEvent
is not only signalling that a certain event has occurred, moreover, it holds information on the property name and the old/new value a certain property has been changed to.
Depending on the type of change that has happened, observable collections might fire more specializedPropertyChangeEvent
types. For example, adding an element to an observable list fires anObservableList.ElementAddedEvent
event.
def event(1)def listener = { if (it instanceof ObservableList.ElementEvent) {(2) event = it }} as PropertyChangeListenerdef observable = [1, 2, 3] as ObservableList(3)observable.addPropertyChangeListener(listener)(4)observable.add 42(5)assert event instanceof ObservableList.ElementAddedEventdef elementAddedEvent = event as ObservableList.ElementAddedEventassert elementAddedEvent.changeType == ObservableList.ChangeType.ADDEDassert elementAddedEvent.index == 3assert elementAddedEvent.oldValue == nullassert elementAddedEvent.newValue == 42
1 | Declares aPropertyChangeEventListener that is capturing the fired events |
2 | ObservableList.ElementEvent and its descendant types are relevant for this listener |
3 | Creates anObservableList from the given list |
4 | Registers the listener |
5 | Triggers anObservableList.ElementAddedEvent event |
Be aware that adding an element in fact causes two events to be triggered. The first is of typeObservableList.ElementAddedEvent ,the second is a plainPropertyChangeEvent that informs listeners about the change of propertysize . |
TheObservableList.ElementClearedEvent
event type is another interesting one. Whenever multiple elements are removed, for example when callingclear()
, it holds the elements being removed from the list.
def eventdef listener = { if (it instanceof ObservableList.ElementEvent) { event = it }} as PropertyChangeListenerdef observable = [1, 2, 3] as ObservableListobservable.addPropertyChangeListener(listener)observable.clear()assert event instanceof ObservableList.ElementClearedEventdef elementClearedEvent = event as ObservableList.ElementClearedEventassert elementClearedEvent.values == [1, 2, 3]assert observable.size() == 0
To get an overview of all the supported event types the reader is encouraged to have a look at the JavaDoc documentationor the source code of the observable collection in use.
ObservableMap
andObservableSet
come with the same concepts as we have seen forObservableList
in this section.
The Groovy language supports two flavors of metaprogramming: runtime and compile-time.The first allows altering the class model and the behavior of a program at runtime while the second only occursat compile-time. Both have pros and cons that we will detail in this section.
With runtime metaprogramming we can postpone to runtime the decision to intercept, inject and even synthesize methods of classes and interfaces. For a deep understanding of Groovy’s metaobject protocol (MOP) we need to understand Groovy objects and Groovy’s method handling.In Groovy we work with three kinds of objects: POJO, POGO and Groovy Interceptors. Groovy allows metaprogramming for all types of objects but in a different manner.
POJO - A regular Java object whose class can be written in Java or any other language for the JVM.
POGO - A Groovy object whose class is written in Groovy. It extendsjava.lang.Object
and implements thegroovy.lang.GroovyObject interface by default.
Groovy Interceptor - A Groovy object that implements thegroovy.lang.GroovyInterceptable interface and has method-interception capability which is discussed in theGroovyInterceptable section.
For every method call Groovy checks whether the object is a POJO or a POGO. For POJOs, Groovy fetches itsMetaClass
from thegroovy.lang.MetaClassRegistry and delegates method invocation to it. For POGOs, Groovy takes more steps, as illustrated in the following figure:
groovy.lang.GroovyObject is the main interface in Groovy as theObject
class is in Java.GroovyObject
has a default implementation in thegroovy.lang.GroovyObjectSupport class and it is responsible to transfer invocation to thegroovy.lang.MetaClass object. TheGroovyObject
source looks like this:
package groovy.lang;public interface GroovyObject { Object invokeMethod(String name, Object args); Object getProperty(String propertyName); void setProperty(String propertyName, Object newValue); MetaClass getMetaClass(); void setMetaClass(MetaClass metaClass);}
This method is primarily intended to be used in conjunction with theGroovyInterceptableinterface or an object’sMetaClass
where it will intercept all method calls.
It is also invoked when the method called is not present on a Groovy object. Here is a simple example using anoverriddeninvokeMethod()
method:
class SomeGroovyClass { def invokeMethod(String name, Object args) { return "called invokeMethod $name $args" } def test() { return 'method exists' }}def someGroovyClass = new SomeGroovyClass()assert someGroovyClass.test() == 'method exists'assert someGroovyClass.someMethod() == 'called invokeMethod someMethod []'
However, the use ofinvokeMethod
to intercept missing methods is discouraged. In cases where the intent is to onlyintercept method calls in the case of a failed method dispatch usemethodMissinginstead.
Every read access to a property can be intercepted by overriding thegetProperty()
method of the current object.Here is a simple example:
class SomeGroovyClass { def property1 = 'ha' def field2 = 'ho' def field4 = 'hu' def getField1() { return 'getHa' } def getProperty(String name) { if (name != 'field3') return metaClass.getProperty(this, name)(1) else return 'field3' }}def someGroovyClass = new SomeGroovyClass()assert someGroovyClass.field1 == 'getHa'assert someGroovyClass.field2 == 'ho'assert someGroovyClass.field3 == 'field3'assert someGroovyClass.field4 == 'hu'
1 | Forwards the request to the getter for all properties exceptfield3 . |
You can intercept write access to properties by overriding thesetProperty()
method:
class POGO { String property void setProperty(String name, Object value) { this.@"$name" = 'overridden' }}def pogo = new POGO()pogo.property = 'a'assert pogo.property == 'overridden'
You can access an object’smetaClass
or set your ownMetaClass
implementation for changing the default interception mechanism. For example, you can write your own implementation of theMetaClass
interface and assign it to objects in order to change the interception mechanism:
// getMetaclasssomeObject.metaClass// setMetaClasssomeObject.metaClass = new OwnMetaClassImplementation()
You can find an additional example in theGroovyInterceptable topic. |
This functionality is related to theMetaClass
implementation. In the default implementation you can access fields without invoking their getters and setters. The examples below demonstrates this approach:
class SomeGroovyClass { def field1 = 'ha' def field2 = 'ho' def getField1() { return 'getHa' }}def someGroovyClass = new SomeGroovyClass()assert someGroovyClass.metaClass.getAttribute(someGroovyClass, 'field1') == 'ha'assert someGroovyClass.metaClass.getAttribute(someGroovyClass, 'field2') == 'ho'
class POGO { private String field String property1 void setProperty1(String property1) { this.property1 = "setProperty1" }}def pogo = new POGO()pogo.metaClass.setAttribute(pogo, 'field', 'ha')pogo.metaClass.setAttribute(pogo, 'property1', 'ho')assert pogo.field == 'ha'assert pogo.property1 == 'ho'
Groovy supports the concept ofmethodMissing
. This method differs frominvokeMethod
in that itis only invoked in the case of a failed method dispatch when no method can be found for the given name and/or thegiven arguments:
class Foo { def methodMissing(String name, def args) { return "this is me" }}assert new Foo().someUnknownMethod(42l) == 'this is me'
Typically when usingmethodMissing
it is possible to cache the result for the next time the same method is called.
For example, consider dynamic finders in GORM. These are implemented in terms ofmethodMissing
. The code resemblessomething like this:
class GORM { def dynamicMethods = [...] // an array of dynamic methods that use regex def methodMissing(String name, args) { def method = dynamicMethods.find { it.match(name) } if(method) { GORM.metaClass."$name" = { Object[] varArgs -> method.invoke(delegate, name, varArgs) } return method.invoke(delegate,name, args) } else throw new MissingMethodException(name, delegate, args) }}
Notice how, if we find a method to invoke, we then dynamically register a new method on the fly usingExpandoMetaClass.This is so that the next time the same method is called it is more efficient. This way of usingmethodMissing
does not havethe overhead ofinvokeMethod
and is not expensive from the second call on.
Groovy supports the concept ofpropertyMissing
for intercepting otherwise failing property resolution attempts. In thecase of a getter method,propertyMissing
takes a singleString
argument containing the property name:
class Foo { def propertyMissing(String name) { name }}assert new Foo().boo == 'boo'
ThepropertyMissing(String)
method is only called when no getter method for the given property can be found by the Groovyruntime.
For setter methods a secondpropertyMissing
definition can be added that takes an additional value argument:
class Foo { def storage = [:] def propertyMissing(String name, value) { storage[name] = value } def propertyMissing(String name) { storage[name] }}def f = new Foo()f.foo = "bar"assert f.foo == "bar"
As withmethodMissing
it is best practice to dynamically register new properties at runtime to improve the overall lookupperformance.
Static variant ofmethodMissing
method can be added via theExpandoMetaClassor can be implemented at the class level with$static_methodMissing
method.
class Foo { static def $static_methodMissing(String name, Object args) { return "Missing static method name is $name" }}assert Foo.bar() == 'Missing static method name is bar'
Static variant ofpropertyMissing
method can be added via theExpandoMetaClassor can be implemented at the class level with$static_propertyMissing
method.
class Foo { static def $static_propertyMissing(String name) { return "Missing static property name is $name" }}assert Foo.foobar == 'Missing static property name is foobar'
Thegroovy.lang.GroovyInterceptable interface is marker interface that extendsGroovyObject
and is used to notify the Groovy runtime that all methods should be intercepted through the method dispatcher mechanism of the Groovy runtime.
package groovy.lang;public interface GroovyInterceptable extends GroovyObject {}
When a Groovy object implements theGroovyInterceptable
interface, itsinvokeMethod()
is called for any method calls. Below you can see a simple example of an object of this type:
class Interception implements GroovyInterceptable { def definedMethod() { } def invokeMethod(String name, Object args) { 'invokedMethod' }}
The next piece of code is a test which shows that both calls to existing and non-existing methods will return the same value.
class InterceptableTest extends GroovyTestCase { void testCheckInterception() { def interception = new Interception() assert interception.definedMethod() == 'invokedMethod' assert interception.someMethod() == 'invokedMethod' }}
We cannot use default groovy methods likeprintln because these methods are injected into all Groovy objects so they will be intercepted too. |
If we want to intercept all method calls but do not want to implement theGroovyInterceptable
interface we can implementinvokeMethod()
on an object’sMetaClass
.This approach works for both POGOs and POJOs, as shown by this example:
class InterceptionThroughMetaClassTest extends GroovyTestCase { void testPOJOMetaClassInterception() { String invoking = 'ha' invoking.metaClass.invokeMethod = { String name, Object args -> 'invoked' } assert invoking.length() == 'invoked' assert invoking.someMethod() == 'invoked' } void testPOGOMetaClassInterception() { Entity entity = new Entity('Hello') entity.metaClass.invokeMethod = { String name, Object args -> 'invoked' } assert entity.build(new Object()) == 'invoked' assert entity.someMethod() == 'invoked' }}
Additional information aboutMetaClass can be found in theMetaClasses section. |
There are situations where it is useful if a classnot under control had additional methods. In order to enable thiscapability, Groovy implements a feature borrowed from Objective-C, calledCategories.
Categories are implemented with so-calledcategory classes. A category class is special in that it needs to meet certainpre-defined rules for defining extension methods.
There are a few categories that are included in the system for adding functionality to classes that make them moreusable within the Groovy environment:
Category classes aren’t enabled by default. To use the methods defined in a category class it is necessary to applythe scopeduse
method that is provided by the GDK and available from inside every Groovy object instance:
use(TimeCategory) { println 1.minute.from.now(1) println 10.hours.ago def someDate = new Date()(2) println someDate - 3.months}
1 | TimeCategory adds methods toInteger |
2 | TimeCategory adds methods toDate |
Theuse
method takes the category class as its first parameter and a closure code block as second parameter. Inside theClosure
access to the category methods is available. As can be seen in the example above even JDK classeslikejava.lang.Integer
orjava.util.Date
can be enriched with user-defined methods.
A category needs not to be directly exposed to the user code, the following will also do:
class JPACategory{ // Let's enhance JPA EntityManager without getting into the JSR committee static void persistAll(EntityManager em , Object[] entities) { //add an interface to save all entities?.each { em.persist(it) } }}def transactionContext = { EntityManager em, Closure c -> def tx = em.transaction try { tx.begin() use(JPACategory) { c() } tx.commit() } catch (e) { tx.rollback() } finally { //cleanup your resource here }}// user code, they always forget to close resource in exception, some even forget to commit, let's not rely on them.EntityManager em; //probably injectedtransactionContext (em) { em.persistAll(obj1, obj2, obj3) // let's do some logics here to make the example sensible em.persistAll(obj2, obj4, obj6)}
When we have a look at thegroovy.time.TimeCategory
class we see that the extension methods are all declared asstatic
methods. In fact, this is one of the requirements that must be met by category classes for its methods to be successfully added toa class inside theuse
code block:
public class TimeCategory { public static Date plus(final Date date, final BaseDuration duration) { return duration.plus(date); } public static Date minus(final Date date, final BaseDuration duration) { final Calendar cal = Calendar.getInstance(); cal.setTime(date); cal.add(Calendar.YEAR, -duration.getYears()); cal.add(Calendar.MONTH, -duration.getMonths()); cal.add(Calendar.DAY_OF_YEAR, -duration.getDays()); cal.add(Calendar.HOUR_OF_DAY, -duration.getHours()); cal.add(Calendar.MINUTE, -duration.getMinutes()); cal.add(Calendar.SECOND, -duration.getSeconds()); cal.add(Calendar.MILLISECOND, -duration.getMillis()); return cal.getTime(); } // ...
Another requirement is the first argument of the static method must define the type the method is attached to once being activated. Theother arguments are the normal arguments the method will take as parameters.
Because of the parameter and static method convention, category method definitions may be a bit less intuitive thannormal method definitions. As an alternative Groovy comes with a@Category
annotation that transforms annotated classesinto category classes at compile-time.
class Distance { def number String toString() { "${number}m" }}@Category(Number)class NumberCategory { Distance getMeters() { new Distance(number: this) }}use (NumberCategory) { assert 42.meters.toString() == '42m'}
Applying the@Category
annotation has the advantage of being able to use instance methods without the target type as afirst parameter. The target type class is given as an argument to the annotation instead.
There is a distinct section on@Category in thecompile-time metaprogramming section. |
As explained earlier, Metaclasses play a central role in method resolution.For every method invocation from groovy code, Groovy will find theMetaClass
for the given objectand delegate the method resolution to the metaclass viagroovy.lang.MetaClass#invokeMethod(java.lang.Class,java.lang.Object,java.lang.String,java.lang.Object,boolean,boolean)which should not be confused withgroovy.lang.GroovyObject#invokeMethod(java.lang.String,java.lang.Object)which happens to be a method that the metaclass may eventually call.
MetaClassImpl
By default, objects get an instance ofMetaClassImpl
that implements the default method lookup.This method lookup includes looking up of the method in the object class ("regular" method) but also if nomethod is found this way it will resort to callingmethodMissing
and ultimatelygroovy.lang.GroovyObject#invokeMethod(java.lang.String,java.lang.Object)
class Foo {}def f = new Foo()assert f.metaClass =~ /MetaClassImpl/
You can change the metaclass of any object or class and replace it with acustom implementation of theMetaClass
groovy.lang.MetaClass.Usually you will want to extend one of the existing metaclasses such asMetaClassImpl
,DelegatingMetaClass
,ExpandoMetaClass
, orProxyMetaClass
;otherwise you will need to implement the complete method lookup logic.Before using a new metaclass instance you should callgroovy.lang.MetaClass#initialize(),otherwise the metaclass may or may not behave as expected.
If you only need to decorate an existing metaclass theDelegatingMetaClass
simplifies that use case.The old metaclass implementation is still accessible viasuper
making it easy to applypretransformations to the inputs, routing to other methods and postprocessing the outputs.
class Foo { def bar() { "bar" } }class MyFooMetaClass extends DelegatingMetaClass { MyFooMetaClass(MetaClass metaClass) { super(metaClass) } MyFooMetaClass(Class theClass) { super(theClass) } Object invokeMethod(Object object, String methodName, Object[] args) { def result = super.invokeMethod(object,methodName.toLowerCase(), args) result.toUpperCase(); }}def mc = new MyFooMetaClass(Foo.metaClass)mc.initialize()Foo.metaClass = mcdef f = new Foo()assert f.BAR() == "BAR" // the new metaclass routes .BAR() to .bar() and uppercases the result
It is possible to change the metaclass at startup time by giving the metaclass a specially crafted (magic) class name and package name. In order to change the metaclass forjava.lang.Integer
it’s enough to put a classgroovy.runtime.metaclass.java.lang.IntegerMetaClass
in the classpath. This is useful, for example, when working with frameworks if you want to do metaclass changes before your code is executed by the framework. The general form of the magic package isgroovy.runtime.metaclass.[package].[class]MetaClass
. In the example below the[package]
isjava.lang
and the[class]
isInteger
:
// file: IntegerMetaClass.groovypackage groovy.runtime.metaclass.java.lang;class IntegerMetaClass extends DelegatingMetaClass { IntegerMetaClass(MetaClass metaClass) { super(metaClass) } IntegerMetaClass(Class theClass) { super(theClass) } Object invokeMethod(Object object, String name, Object[] args) { if (name =~ /isBiggerThan/) { def other = name.split(/isBiggerThan/)[1].toInteger() object > other } else { return super.invokeMethod(object,name, args); } }}
By compiling the above file withgroovyc IntegerMetaClass.groovy
a./groovy/runtime/metaclass/java/lang/IntegerMetaClass.class
will be generated. The example below will use this new metaclass:
// File testInteger.groovydef i = 10assert i.isBiggerThan5()assert !i.isBiggerThan15()println i.isBiggerThan5()
By running that file withgroovy -cp . testInteger.groovy
theIntegerMetaClass
will be in the classpath and therefore it will become the metaclass forjava.lang.Integer
intercepting the method calls toisBiggerThan*()
methods.
You can change the metaclass of individual objects separately, so it’s possible to have multiple object of the same class with different metaclasses.
class Foo { def bar() { "bar" }}class FooMetaClass extends DelegatingMetaClass { FooMetaClass(MetaClass metaClass) { super(metaClass) } Object invokeMethod(Object object, String name, Object[] args) { super.invokeMethod(object,name,args).toUpperCase() }}def f1 = new Foo()def f2 = new Foo()f2.metaClass = new FooMetaClass(f2.metaClass)assert f1.bar() == "bar"assert f2.bar() == "BAR"assert f1.metaClass =~ /MetaClassImpl/assert f2.metaClass =~ /FooMetaClass/assert f1.class.toString() == "class Foo"assert f2.class.toString() == "class Foo"
Groovy comes with a specialMetaClass
the so-calledExpandoMetaClass
. It is special in that it allows for dynamicallyadding or changing methods, constructors, properties and even static methods by using a neat closure syntax.
Applying those modifications can be especially useful in mocking or stubbing scenarios as shown in theTesting Guide.
Everyjava.lang.Class
is supplied by Groovy with a specialmetaClass
property that will give you a reference to anExpandoMetaClass
instance. This instance can then be used to add methods or change the behaviour of already existingones.
By defaultExpandoMetaClass doesn’t do inheritance. To enable this you must callExpandoMetaClass#enableGlobally() before your app starts such as in the main method or servlet bootstrap. |
The following sections go into detail on howExpandoMetaClass
can be used in various scenarios.
Once theExpandoMetaClass
is accessed by calling themetaClass
property, methods can be added by using either the left shift<<
or the=
operator.
Note that the left shift operator is used toappend a new method. If a public method with the same name andparameter types is declared by the class or interface, including those inherited from superclasses and superinterfacesbut excluding those added to themetaClass at runtime, an exception will be thrown. If you want toreplace amethod declared by the class or interface you can use the= operator. |
The operators are applied on a non-existent property ofmetaClass
passing an instance of aClosure
code block.
class Book { String title}Book.metaClass.titleInUpperCase << {-> title.toUpperCase() }def b = new Book(title:"The Stand")assert "THE STAND" == b.titleInUpperCase()
The example above shows how a new method can be added to a class by accessing themetaClass
property and using the<<
or=
operator to assign aClosure
code block. TheClosure
parameters are interpreted as method parameters. Parameterless methods can be added by using the{→ …}
syntax.
ExpandoMetaClass
supports two mechanisms for adding or overriding properties.
Firstly, it has support for declaring amutable property by simply assigning a value to a property ofmetaClass
:
class Book { String title}Book.metaClass.author = "Stephen King"def b = new Book()assert "Stephen King" == b.author
Another way is to add getter and/or setter methods by using the standard mechanisms for adding instance methods.
class Book { String title}Book.metaClass.getAuthor << {-> "Stephen King" }def b = new Book()assert "Stephen King" == b.author
In the source code example above the property is dictated by the closure and is a read-only property. It is feasible to addan equivalent setter method but then the property value needs to be stored for later usage. This could be done asshown in the following example.
class Book { String title}def properties = Collections.synchronizedMap([:])Book.metaClass.setAuthor = { String value -> properties[System.identityHashCode(delegate) + "author"] = value}Book.metaClass.getAuthor = {-> properties[System.identityHashCode(delegate) + "author"]}
This is not the only technique however. For example in a servlet container one way might be to store the values inthe currently executing request as request attributes (as is done in some cases in Grails).
Constructors can be added by using a specialconstructor
property. Either the<<
or=
operator can be usedto assign aClosure
code block. TheClosure
arguments will become the constructor arguments when the code isexecuted at runtime.
class Book { String title}Book.metaClass.constructor << { String title -> new Book(title:title) }def book = new Book('Groovy in Action - 2nd Edition')assert book.title == 'Groovy in Action - 2nd Edition'
Be careful when adding constructors however, as it is very easy to get into stack overflow troubles. |
Static methods can be added using the same technique as instance methods with the addition of thestatic
qualifierbefore the method name.
class Book { String title}Book.metaClass.static.create << { String title -> new Book(title:title) }def b = Book.create("The Stand")
WithExpandoMetaClass
it is possible to use Groovy’s method pointer syntax to borrow methods from other classes.
class Person { String name}class MortgageLender { def borrowMoney() { "buy house" }}def lender = new MortgageLender()Person.metaClass.buyHouse = lender.&borrowMoneydef p = new Person()assert "buy house" == p.buyHouse()
Since Groovy allows you to use Strings as property names this in turns allows you to dynamically create method andproperty names at runtime. To create a method with a dynamic name simply use the language feature of reference propertynames as strings.
class Person { String name = "Fred"}def methodName = "Bob"Person.metaClass."changeNameTo${methodName}" = {-> delegate.name = "Bob" }def p = new Person()assert "Fred" == p.namep.changeNameToBob()assert "Bob" == p.name
The same concept can be applied to static methods and properties.
One application of dynamic method names can be found in the Grails web application framework. The concept of "dynamiccodecs" is implemented by using dynamic method names.
HTMLCodec
Classclass HTMLCodec { static encode = { theTarget -> HtmlUtils.htmlEscape(theTarget.toString()) } static decode = { theTarget -> HtmlUtils.htmlUnescape(theTarget.toString()) }}
The example above shows a codec implementation. Grails comes with various codec implementations each defined in a single class.At runtime there will be multiple codec classes in the application classpath. At application startup the framework addsaencodeXXX
and adecodeXXX
method to certain metaclasses whereXXX
is the first part of the codec class name (e.g.encodeHTML
). This mechanism is in the following shown in some Groovy pseudocode:
def codecs = classes.findAll { it.name.endsWith('Codec') }codecs.each { codec -> Object.metaClass."encodeAs${codec.name-'Codec'}" = { codec.newInstance().encode(delegate) } Object.metaClass."decodeFrom${codec.name-'Codec'}" = { codec.newInstance().decode(delegate) }}def html = '<html><body>hello</body></html>'assert '<html><body>hello</body></html>' == html.encodeAsHTML()
At runtime it is often useful to know what other methods or properties exist at the time the method is executed.ExpandoMetaClass
provides the following methods as of this writing:
getMetaMethod
hasMetaMethod
getMetaProperty
hasMetaProperty
Why can’t you just use reflection? Well because Groovy is different, it has the methods that are "real" methods andmethods that are available only at runtime. These are sometimes (but not always) represented as MetaMethods. TheMetaMethods tell you what methods are available at runtime, thus your code can adapt.
This is of particular use when overridinginvokeMethod
,getProperty
and/orsetProperty
.
Another feature ofExpandoMetaClass
is that it allows to override the methodsinvokeMethod
,getProperty
andsetProperty
, all of them can be found in thegroovy.lang.GroovyObject
class.
The following example shows how to overrideinvokeMethod
:
class Stuff { def invokeMe() { "foo" }}Stuff.metaClass.invokeMethod = { String name, args -> def metaMethod = Stuff.metaClass.getMetaMethod(name, args) def result if(metaMethod) result = metaMethod.invoke(delegate,args) else { result = "bar" } result}def stf = new Stuff()assert "foo" == stf.invokeMe()assert "bar" == stf.doStuff()
The first step in theClosure
code is to look up theMetaMethod
for the given name and arguments. If the methodcan be found everything is fine and it is delegated to. If not, a dummy value is returned.
AMetaMethod is a method that is known to exist on theMetaClass whether added at runtime or at compile-time. |
The same logic can be used to overridesetProperty
orgetProperty
.
class Person { String name = "Fred"}Person.metaClass.getProperty = { String name -> def metaProperty = Person.metaClass.getMetaProperty(name) def result if(metaProperty) result = metaProperty.getProperty(delegate) else { result = "Flintstone" } result}def p = new Person()assert "Fred" == p.nameassert "Flintstone" == p.other
The important thing to note here is that instead of aMetaMethod
aMetaProperty
instance is looked up. If that existsthegetProperty
method of theMetaProperty
is called, passing the delegate.
ExpandoMetaClass
even allows for overriding static method with a specialinvokeMethod
syntax.
class Stuff { static invokeMe() { "foo" }}Stuff.metaClass.'static'.invokeMethod = { String name, args -> def metaMethod = Stuff.metaClass.getStaticMetaMethod(name, args) def result if(metaMethod) result = metaMethod.invoke(delegate,args) else { result = "bar" } result}assert "foo" == Stuff.invokeMe()assert "bar" == Stuff.doStuff()
The logic that is used for overriding the static method is the same as we’ve seen before for overriding instance methods. Theonly difference is the access to themetaClass.static
property and the call togetStaticMethodName
for retrievingthe staticMetaMethod
instance.
It is possible to add methods onto interfaces withExpandoMetaClass
. To do this however, itmust be enabledglobally using theExpandoMetaClass.enableGlobally()
method before application start-up.
List.metaClass.sizeDoubled = {-> delegate.size() * 2 }def list = []list << 1list << 2assert 4 == list.sizeDoubled()
An extension module allows you to add new methods to existing classes, including classes which are precompiled, likeclasses from the JDK. Those new methods, unlike those defined through a metaclass or using a category, are availableglobally. For example, when you write:
def file = new File(...)def contents = file.getText('utf-8')
ThegetText
method doesn’t exist on theFile
class. However, Groovy knows it because it is defined in a specialclass,ResourceGroovyMethods
:
public static String getText(File file, String charset) throws IOException { return IOGroovyMethods.getText(newReader(file, charset));}
You may notice that the extension method is defined using a static method in a helper class (where various extensionmethods are defined). The first argument of thegetText
method corresponds to the receiver, while additional parameterscorrespond to the arguments of the extension method. So here, we are defining a method calledgetText ontheFile
class (because the first argument is of typeFile
), which takes a single argument as a parameter (the encodingString
).
The process of creating an extension module is simple:
write an extension class like above
write a module descriptor file
Then you have to make the extension module visible to Groovy, which is as simple as having the extension module classesand descriptor available on classpath. This means that you have the choice:
either provide the classes and module descriptor directly on classpath
or bundle your extension module into a jar for reusability
An extension module may add two kind of methods to a class:
instance methods (to be called on an instance of a class)
static methods (to be called on the class itself)
To add an instance method to an existing class, you need to create an extension class. For example, let’s say youwant to add amaxRetries
method onInteger
which accepts a closure and executes it at mostn times until noexception is thrown. To do that, you only need to write the following:
class MaxRetriesExtension {(1) static void maxRetries(Integer self, Closure code) {(2) assert self >= 0 int retries = self Throwable e = null while (retries > 0) { try { code.call() break } catch (Throwable err) { e = err retries-- } } if (retries == 0 && e) { throw e } }}
1 | The extension class |
2 | First argument of the static method corresponds to the receiver of the message, that is to say the extended instance |
Then, afterhaving declared your extension class, you can call it this way:
int i=05.maxRetries { i++}assert i == 1i=0try { 5.maxRetries { i++ throw new RuntimeException("oops") }} catch (RuntimeException e) { assert i == 5}
It is also possible to add static methods to a class. In that case, the static method needs to be defined in itsownfile. Static and instance extension methodscannot be present in the same class.
class StaticStringExtension {(1) static String greeting(String self) {(2) 'Hello, world!' }}
1 | The static extension class |
2 | First argument of the static method corresponds to the class being extended and isunused |
In which case you can call it directly on theString
class:
assert String.greeting() == 'Hello, world!'
For Groovy to be able to load your extension methods, you must declareyour extension helper classes. You must create a file namedorg.codehaus.groovy.runtime.ExtensionModule
into theMETA-INF/groovy
directory:
moduleName=Test module for specificationsmoduleVersion=1.0-testextensionClasses=support.MaxRetriesExtensionstaticExtensionClasses=support.StaticStringExtension
The module descriptor requires 4 keys:
moduleName : the name of your module
moduleVersion: the version of your module. Note that version numberis only used to check that you don’t load the same module in twodifferent versions.
extensionClasses: the list of extension helper classes for instancemethods. You can provide several classes, given that they are commaseparated.
staticExtensionClasses: the list of extension helper classes forstatic methods. You can provide several classes, given that they arecomma separated.
Note that it is not required for a module to define both static helpersand instance helpers, and that you may add several classes to a singlemodule. You can also extend different classes in a single module withoutproblem. It is even possible to use different classes in a singleextension class, but it is recommended to group extension methods intoclasses by feature set.
It’s worth noting that you can’t use an extension which is compiled at the same time as code using it. That means thatto use an extension, ithas to be available on classpath, as compiled classes, before the code using it gets compiled.Usually, this means that you can’t have thetest classes in the same source unit as the extension class itself. Sincein general, test sources are separated from normal sources and executed in another step of the build, this is not an issue.
Unlike categories, extension modules are compatible with type checking: if they are found on classpath, then the typechecker is aware of the extension methods and will not complain when you call them. It is also compatible with staticcompilation.
Compile-time metaprogramming in Groovy allows code generation at compile-time. Those transformations are altering theAbstract Syntax Tree (AST) of a program, which is why in Groovy we call it AST transformations. AST transformationsallow you to hook into the compilation process, modify the AST and continue the compilation process to generate regularbytecode. Compared to runtime metaprogramming, this has the advantage of making the changes visible in the class fileitself (that is to say, in the bytecode). Making it visible in the bytecode is important for example if you want thetransformations to be part of the class contract (implementing interfaces, extending abstract classes, …) or evenif you need your class to be callable from Java (or other JVM languages). For example, an AST transformation can addmethods to a class. If you do it with runtime metaprogramming, the new method would only be visible from Groovy. If youdo the same using compile-time metaprogramming, the method would be visible from Java too. Last but not least, performancewould likely be better with compile-time metaprogramming (because no initialization phase is required).
In this section, we will start with explaining the various compile-time transformations that are bundled with the Groovydistribution. In a subsequent section, we will describe how you canimplement your own AST transformationsand what are the disadvantages of this technique.
Groovy comes with various AST transformations covering different needs: reducing boilerplate (code generation), implementingdesign patterns (delegation, …), logging, declarative concurrency, cloning, safer scripting, tweaking the compilation,implementing Swing patterns, testing and eventually managing dependencies. If none of those AST transformations coveryour needs, you can still implement your own, as show in sectionDeveloping your own AST transformations.
AST transformations can be separated into two categories:
global AST transformations are applied transparently, globally, as soon as they are found on compile classpath
local AST transformations are applied by annotating the source code with markers. Unlike global AST transformations,local AST transformations may support parameters.
Groovy doesn’t ship with any global AST transformation, but you can find a list of local AST transformationsavailable for you to use in your code here:
This category of transformation includes AST transformations which help removing boilerplate code. This is typicallycode that you have to write but that does not carry any useful information. By autogenerating this boilerplate code,the code you have to write is left clean and concise and the chance of introducing an error by getting suchboilerplate code incorrect is reduced.
@groovy.transform.ToString
The@ToString
AST transformation generates a human-readabletoString
representation of the class. For example,annotating thePerson
class like below will automatically generate thetoString
method for you:
import groovy.transform.ToString@ToStringclass Person { String firstName String lastName}
With this definition, then the following assertion passes, meaning that atoString
method taking the field values fromthe class and printing them out has been generated:
def p = new Person(firstName: 'Jack', lastName: 'Nicholson')assert p.toString() == 'Person(Jack, Nicholson)'
The@ToString
annotation accepts several parameters which are summarized in the following table:
Attribute | Default value | Description | Example |
---|---|---|---|
excludes | Empty list | List of properties to exclude from toString |
|
includes | Undefined marker list (indicates all fields) | List of fields to include in toString |
|
includeSuper | False | Should superclass be included in toString |
|
includeNames | false | Whether to include names of properties in generated toString. |
|
includeFields | False | Should fields be included in toString, in addition to properties |
|
includeSuperProperties | False | Should super properties be included in toString |
|
includeSuperFields | False | Should visible super fields be included in toString |
|
ignoreNulls | False | Should properties/fields with null value be displayed |
|
includePackage | True | Use fully qualified class name instead of simple name in toString |
|
allProperties | True | Include all JavaBean properties in toString |
|
cache | False | Cache the toString string. Should only be set to true if the class is immutable. |
|
allNames | False | Should fields and/or properties with internal names be included in the generated toString |
|
@groovy.transform.EqualsAndHashCode
The@EqualsAndHashCode
AST transformation aims at generatingequals
andhashCode
methods for you. The generatedhashcode follows the best practices as described inEffective Java byJosh Bloch:
import groovy.transform.EqualsAndHashCode@EqualsAndHashCodeclass Person { String firstName String lastName}def p1 = new Person(firstName: 'Jack', lastName: 'Nicholson')def p2 = new Person(firstName: 'Jack', lastName: 'Nicholson')assert p1==p2assert p1.hashCode() == p2.hashCode()
There are several options available to tweak the behavior of@EqualsAndHashCode
:
Attribute | Default value | Description | Example |
---|---|---|---|
excludes | Empty list | List of properties to exclude from equals/hashCode |
|
includes | Undefined marker list (indicating all fields) | List of fields to include in equals/hashCode |
|
cache | False | Cache the hashCode computation. Should only be set to true if the class is immutable. |
|
callSuper | False | Whether to include super in equals and hashCode calculations |
|
includeFields | False | Should fields be included in equals/hashCode, in addition to properties |
|
useCanEqual | True | Should equals call canEqual helper method. | |
allProperties | False | Should JavaBean properties be included in equals and hashCode calculations |
|
allNames | False | Should fields and/or properties with internal names be included in equals and hashCode calculations |
|
@groovy.transform.TupleConstructor
The@TupleConstructor
annotation aims at eliminating boilerplate code by generating constructors for you. A tupleconstructor is created having a parameter for each property (and possibly each field). Each parameter has a default value(using the initial value of the property if present or otherwise Java’s default value according to the properties type).
Normally you don’t need to understand the implementation details of the generated constructor(s); you just use them in the normal way.However, if you want to add multiple constructors, understand Java integration options or meet requirements of somedependency injection frameworks, then some details are useful.
As previously mentioned, the generated constructor has default values applied. In later compilation phases,the Groovy compiler’s standard default value processing behavior is then applied.The end result is that multiple constructors are placed within the bytecode of your class.This provides a well understood semantics and is also useful for Java integration purposes. As an example, thefollowing code will generate 3 constructors:
import groovy.transform.TupleConstructor@TupleConstructorclass Person { String firstName String lastName}// traditional map-style constructordef p1 = new Person(firstName: 'Jack', lastName: 'Nicholson')// generated tuple constructordef p2 = new Person('Jack', 'Nicholson')// generated tuple constructor with default value for second propertydef p3 = new Person('Jack')
The first constructor is a no-arg constructor which allows the traditional map-style construction so long asyou don’t have final properties. Groovy calls the no-arg constructor and then the relevant setters under the covers.It is worth noting that if the first property (or field) has type LinkedHashMap or if there is a single Map,AbstractMap or HashMap property (or field), then the map-style named arguments won’t be available.
The other constructors are generated by taking the properties in the order they are defined. Groovy will generate asmany constructors as there are properties (or fields, depending on the options).
Setting thedefaults
attribute (see the available configuration options table) tofalse
, disables the normal default values behavior which means:
Exactly one constructor will be produced
Attempting to use an initial value will produce an error
Map-style named arguments won’t be available
This attribute is normally only used in situations where another Java framework isexpecting exactly one constructor, e.g. injection frameworks or JUnit parameterized runners.
If the@PropertyOptions
annotation is also found on the class with the@TupleConstructor
annotation,then the generated constructor may contain custom property handling logic.ThepropertyHandler
attribute on the@PropertyOptions
annotation could for instance be set toImmutablePropertyHandler
which will result in the addition of the necessary logic for immutable classes(defensive copy in, cloning, etc.). This normally would happen automatically behind the scenes when you usethe@Immutable
meta-annotation.Some of the annotation attributes might not be supported by all property handlers.
The@TupleConstructor
AST transformation accepts several annotation attributes:
Attribute | Default value | Description | Example |
---|---|---|---|
excludes | Empty list | List of properties to exclude from tuple constructor generation |
|
includes | Undefined list (indicates all fields) | List of fields to include in tuple constructor generation |
|
includeProperties | True | Should properties be included in tuple constructor generation |
|
includeFields | False | Should fields be included in tuple constructor generation, in addition to properties |
|
includeSuperProperties | True | Should properties from super classes be included in tuple constructor generation |
|
includeSuperFields | False | Should fields from super classes be included in tuple constructor generation |
|
callSuper | False | Should super properties be called within a call to the parent constructor rather than set as properties |
|
force | False | By default, the transformation will do nothing if a constructor is already defined. Setting this attribute totrue, the constructor will be generated and it’s your responsibility to ensure that no duplicate constructor is defined. |
|
defaults | True | Indicates that default value processing is enabled for constructor parameters.Set to false to obtain exactly one constructor but with initial value support and named-arguments disabled. |
|
useSetters | False | By default, the transformation will directly set the backing field of each propertyfrom its corresponding constructor parameter. Setting this attribute to true, the constructor will instead call setters ifthey exist. It’s usually deemed bad style from within a constructor to call setters that can be overridden. It’s yourresponsibility to avoid such bad style. |
|
allNames | False | Should fields and/or properties with internal names be included within the constructor |
|
allProperties | False | Should JavaBean properties be included within the constructor |
|
pre | empty | A closure containing statements to be inserted at the start of the generated constructor(s) |
|
post | empty | A closure containing statements to be inserted at the end of the generated constructor(s) |
|
Setting thedefaults
annotation attribute tofalse
and theforce
annotation attribute totrue
allowsmultiple tuple constructors to be created by using different customization options for the different cases(provided each case has a different type signature) as shown in the following example:
class Named { String name}@ToString(includeSuperProperties=true, ignoreNulls=true, includeNames=true, includeFields=true)@TupleConstructor(force=true, defaults=false)@TupleConstructor(force=true, defaults=false, includeFields=true)@TupleConstructor(force=true, defaults=false, includeSuperProperties=true)class Book extends Named { Integer published private Boolean fiction Book() {}}assert new Book("Regina", 2015).toString() == 'Book(published:2015, name:Regina)'assert new Book(2015, false).toString() == 'Book(published:2015, fiction:false)'assert new Book(2015).toString() == 'Book(published:2015)'assert new Book().toString() == 'Book()'assert Book.constructors.size() == 4
Similarly, here is another example using different options forincludes
:
@ToString(includeSuperProperties=true, ignoreNulls=true, includeNames=true, includeFields=true)@TupleConstructor(force=true, defaults=false, includes='name,year')@TupleConstructor(force=true, defaults=false, includes='year,fiction')@TupleConstructor(force=true, defaults=false, includes='name,fiction')class Book { String name Integer year Boolean fiction}assert new Book("Regina", 2015).toString() == 'Book(name:Regina, year:2015)'assert new Book(2015, false).toString() == 'Book(year:2015, fiction:false)'assert new Book("Regina", false).toString() == 'Book(name:Regina, fiction:false)'assert Book.constructors.size() == 3
@groovy.transform.MapConstructor
The@MapConstructor
annotation aims at eliminating boilerplate code by generating a map constructor for you. A mapconstructor is created such that each property in the class is set based on the value in the supplied maphaving the key with the name of the property. Usage is as shown in this example:
import groovy.transform.*@ToString@MapConstructorclass Person { String firstName String lastName}def p1 = new Person(firstName: 'Jack', lastName: 'Nicholson')assert p1.toString() == 'Person(Jack, Nicholson)'
The generated constructor will be roughly like this:
public Person(Map args) { if (args.containsKey('firstName')) { this.firstName = args.get('firstName') } if (args.containsKey('lastName')) { this.lastName = args.get('lastName') }}
@groovy.transform.Canonical
The@Canonical
meta-annotation combines the@ToString,@EqualsAndHashCode and@TupleConstructorannotations:
import groovy.transform.Canonical@Canonicalclass Person { String firstName String lastName}def p1 = new Person(firstName: 'Jack', lastName: 'Nicholson')assert p1.toString() == 'Person(Jack, Nicholson)' // Effect of @ToStringdef p2 = new Person('Jack','Nicholson') // Effect of @TupleConstructorassert p2.toString() == 'Person(Jack, Nicholson)'assert p1==p2 // Effect of @EqualsAndHashCodeassert p1.hashCode()==p2.hashCode() // Effect of @EqualsAndHashCode
A similar immutable class can be generated using the@Immutable meta-annotation instead.The@Canonical
meta-annotation supports the configuration options found in the annotationsit aggregates. See those annotations for more details.
import groovy.transform.Canonical@Canonical(excludes=['lastName'])class Person { String firstName String lastName}def p1 = new Person(firstName: 'Jack', lastName: 'Nicholson')assert p1.toString() == 'Person(Jack)' // Effect of @ToString(excludes=['lastName'])def p2 = new Person('Jack') // Effect of @TupleConstructor(excludes=['lastName'])assert p2.toString() == 'Person(Jack)'assert p1==p2 // Effect of @EqualsAndHashCode(excludes=['lastName'])assert p1.hashCode()==p2.hashCode() // Effect of @EqualsAndHashCode(excludes=['lastName'])
The@Canonical
meta-annotation can be used in conjunction with an explicit use one or more of itscomponent annotations, like this:
import groovy.transform.Canonical@Canonical(excludes=['lastName'])class Person { String firstName String lastName}def p1 = new Person(firstName: 'Jack', lastName: 'Nicholson')assert p1.toString() == 'Person(Jack)' // Effect of @ToString(excludes=['lastName'])def p2 = new Person('Jack') // Effect of @TupleConstructor(excludes=['lastName'])assert p2.toString() == 'Person(Jack)'assert p1==p2 // Effect of @EqualsAndHashCode(excludes=['lastName'])assert p1.hashCode()==p2.hashCode() // Effect of @EqualsAndHashCode(excludes=['lastName'])
Any applicable annotation attributes from@Canonical
are passed along to the explicit annotation butattributes already existing in the explicit annotation take precedence.
@groovy.transform.InheritConstructors
The@InheritConstructor
AST transformation aims at generating constructors matching super constructors for you. Thisis in particular useful when overriding exception classes:
import groovy.transform.InheritConstructors@InheritConstructorsclass CustomException extends Exception {}// all those are generated constructorsnew CustomException()new CustomException("A custom message")new CustomException("A custom message", new RuntimeException())new CustomException(new RuntimeException())// Java 7 only// new CustomException("A custom message", new RuntimeException(), false, true)
The@InheritConstructor
AST transformation supports the following configuration options:
Attribute | Default value | Description | Example |
---|---|---|---|
constructorAnnotations | False | Whether to carry over annotations from the constructor during copying |
|
parameterAnnotations | False | Whether to carry over annotations from the constructor parameters when copying the constructor |
|
@groovy.lang.Category
The@Category
AST transformation simplifies the creation of Groovy categories. Historically, a Groovy category waswritten like this:
class TripleCategory { public static Integer triple(Integer self) { 3*self }}use (TripleCategory) { assert 9 == 3.triple()}
The@Category
transformation lets you write the same using an instance-style class, rather than a static class style.This removes the need for having the first argument of each method being the receiver. The category can be written likethis:
@Category(Integer)class TripleCategory { public Integer triple() { 3*this }}use (TripleCategory) { assert 9 == 3.triple()}
Note that the mixed in class can be referenced usingthis
instead. It’s also worth noting that using instance fieldsin a category class is inherently unsafe: categories are not stateful (like traits).
@groovy.transform.IndexedProperty
The@IndexedProperty
annotation aims at generating indexed getters/setters for properties of list/array types.This is in particular useful if you want to use a Groovy class from Java. While Groovy supports GPath to access properties,this is not available from Java. The@IndexedProperty
annotation will generate indexed properties of the followingform:
class SomeBean { @IndexedProperty String[] someArray = new String[2] @IndexedProperty List someList = []}def bean = new SomeBean()bean.setSomeArray(0, 'value')bean.setSomeList(0, 123)assert bean.someArray[0] == 'value'assert bean.someList == [123]
@groovy.lang.Lazy
The@Lazy
AST transformation implements lazy initialization of fields. For example, the following code:
class SomeBean { @Lazy LinkedList myField}
will produce the following code:
List $myFieldList getMyField() { if ($myField!=null) { return $myField } else { $myField = new LinkedList() return $myField }}
The default value which is used to initialize the field is the default constructor of the declaration type. It is possibleto define a default value by using a closure on the right hand side of the property assignment, as in the followingexample:
class SomeBean { @Lazy LinkedList myField = { ['a','b','c']}()}
In that case, the generated code looks like the following:
List $myFieldList getMyField() { if ($myField!=null) { return $myField } else { $myField = { ['a','b','c']}() return $myField }}
If the field is declared volatile then initialization will be synchronized using thedouble-checked locking pattern.
Using thesoft=true
parameter, the helper field will use aSoftReference
instead, providing a simple way toimplement caching. In that case, if the garbage collector decides to collect the reference, initialization will occurthe next time the field is accessed.
@groovy.lang.Newify
The@Newify
AST transformation is used to bring alternative syntaxes to construct objects:
Using thePython
style:
@Newify([Tree,Leaf])class TreeBuilder { Tree tree = Tree(Leaf('A'),Leaf('B'),Tree(Leaf('C')))}
or using theRuby
style:
@Newify([Tree,Leaf])class TreeBuilder { Tree tree = Tree.new(Leaf.new('A'),Leaf.new('B'),Tree.new(Leaf.new('C')))}
TheRuby
version can be disabled by setting theauto
flag tofalse
.
@groovy.transform.Sortable
The@Sortable
AST transformation is used to help write classes that areComparable
and easily sortedtypically by numerous properties. It is easy to use as shown in the following example where we annotatethePerson
class:
import groovy.transform.Sortable@Sortable class Person { String first String last Integer born}
The generated class has the following properties:
it implements theComparable
interface
it contains acompareTo
method with an implementation based on the natural ordering of thefirst
,last
andborn
properties
it has three methods returning comparators:comparatorByFirst
,comparatorByLast
andcomparatorByBorn
.
The generatedcompareTo
method will look like this:
public int compareTo(java.lang.Object obj) { if (this.is(obj)) { return 0 } if (!(obj instanceof Person)) { return -1 } java.lang.Integer value = this.first <=> obj.first if (value != 0) { return value } value = this.last <=> obj.last if (value != 0) { return value } value = this.born <=> obj.born if (value != 0) { return value } return 0}
As an example of the generated comparators, thecomparatorByFirst
comparator will have acompare
method that looks like this:
public int compare(java.lang.Object arg0, java.lang.Object arg1) { if (arg0 == arg1) { return 0 } if (arg0 != null && arg1 == null) { return -1 } if (arg0 == null && arg1 != null) { return 1 } return arg0.first <=> arg1.first}
ThePerson
class can be used wherever aComparable
is expected and the generated comparatorswherever aComparator
is expected as shown by these examples:
def people = [ new Person(first: 'Johnny', last: 'Depp', born: 1963), new Person(first: 'Keira', last: 'Knightley', born: 1985), new Person(first: 'Geoffrey', last: 'Rush', born: 1951), new Person(first: 'Orlando', last: 'Bloom', born: 1977)]assert people[0] > people[2]assert people.sort()*.last == ['Rush', 'Depp', 'Knightley', 'Bloom']assert people.sort(false, Person.comparatorByFirst())*.first == ['Geoffrey', 'Johnny', 'Keira', 'Orlando']assert people.sort(false, Person.comparatorByLast())*.last == ['Bloom', 'Depp', 'Knightley', 'Rush']assert people.sort(false, Person.comparatorByBorn())*.last == ['Rush', 'Depp', 'Bloom', 'Knightley']
Normally, all properties are used in the generatedcompareTo
method in the priority order in which they are defined.You can include or exclude certain properties from the generatedcompareTo
method by giving a list of property namesin theincludes
orexcludes
annotation attributes. If usingincludes
, the order of the property names given willdetermine the priority of properties when comparing. To illustrate, consider the followingPerson
class definition:
@Sortable(includes='first,born') class Person { String last int born String first}
It will have two comparator methodscomparatorByFirst
andcomparatorByBorn
and the generatedcompareTo
method will look like this:
public int compareTo(java.lang.Object obj) { if (this.is(obj)) { return 0 } if (!(obj instanceof Person)) { return -1 } java.lang.Integer value = this.first <=> obj.first if (value != 0) { return value } value = this.born <=> obj.born if (value != 0) { return value } return 0}
ThisPerson
class can be used as follows:
def people = [ new Person(first: 'Ben', last: 'Affleck', born: 1972), new Person(first: 'Ben', last: 'Stiller', born: 1965)]assert people.sort()*.last == ['Stiller', 'Affleck']
The behavior of the@Sortable
AST transformation can be further changed using the following additional parameters:
Attribute | Default value | Description | Example |
---|---|---|---|
allProperties | True | Should JavaBean properties (ordered after native properties) be used |
|
allNames | False | Should properties with "internal" names be used |
|
includeSuperProperties | False | Should super properties also be used (ordered first) |
|
@groovy.transform.builder.Builder
The@Builder
AST transformation is used to help write classes that can be created usingfluent api calls.The transform supports multiple building strategies to cover a range of cases and there are a numberof configuration options to customize the building process. If you’re an AST hacker, you can also define your ownstrategy class. The following table lists the available strategies that are bundled with Groovy and theconfiguration options each strategy supports.
Strategy | Description | builderClassName | builderMethodName | buildMethodName | prefix | includes/excludes | includeSuperProperties | allNames |
| chained setters | n/a | n/a | n/a | yes, default "set" | yes | n/a | yes, default |
| explicit builder class, class being built untouched | n/a | n/a | yes, default "build" | yes, default "" | yes | yes, default | yes, default |
| creates a nested helper class | yes, default<TypeName>Builder | yes, default "builder" | yes, default "build" | yes, default "" | yes | yes, default | yes, default |
| creates a nested helper class providing type-safe fluent creation | yes, default<TypeName>Initializer | yes, default "createInitializer" | yes, default "create" but usually only used internally | yes, default "" | yes | yes, default | yes, default |
To use theSimpleStrategy
, annotate your Groovy class using the@Builder
annotation, and specify the strategy as shown in this example:
import groovy.transform.builder.*@Builder(builderStrategy=SimpleStrategy)class Person { String first String last Integer born}
Then, just call the setters in a chained fashion as shown here:
def p1 = new Person().setFirst('Johnny').setLast('Depp').setBorn(1963)assert "$p1.first $p1.last" == 'Johnny Depp'
For each property, a generated setter will be created which looks like this:
public Person setFirst(java.lang.String first) { this.first = first return this}
You can specify a prefix as shown in this example:
import groovy.transform.builder.*@Builder(builderStrategy=SimpleStrategy, prefix="")class Person { String first String last Integer born}
And calling the chained setters would look like this:
def p = new Person().first('Johnny').last('Depp').born(1963)assert "$p.first $p.last" == 'Johnny Depp'
You can use theSimpleStrategy
in conjunction with@TupleConstructor
. If your@Builder
annotation doesn’t have explicitincludes
orexcludes
annotation attributes but your@TupleConstructor
annotation does, the ones from@TupleConstructor
will be re-used for@Builder
. The same applies for anyannotation aliases which combine@TupleConstructor
such as@Canonical
.
The annotation attributeuseSetters
can be used if you have a setter which you want called as part of theconstruction process. See the JavaDoc for details.
The annotation attributesbuilderClassName
,buildMethodName
,builderMethodName
,forClass
andincludeSuperProperties
are not supported for this strategy.
Groovy already has built-in building mechanisms. Don’t rush to using@Builder if the built-in mechanisms meet your needs. Some examples: |
def p2 = new Person(first: 'Keira', last: 'Knightley', born: 1985)def p3 = new Person().with { first = 'Geoffrey' last = 'Rush' born = 1951}
To use theExternalStrategy
, create and annotate a Groovy builder class using the@Builder
annotation, specify theclass the builder is for usingforClass
and indicate use of theExternalStrategy
.Suppose you have the following class you would like a builder for:
class Person { String first String last int born}
you explicitly create and use your builder class as follows:
import groovy.transform.builder.*@Builder(builderStrategy=ExternalStrategy, forClass=Person)class PersonBuilder { }def p = new PersonBuilder().first('Johnny').last('Depp').born(1963).build()assert "$p.first $p.last" == 'Johnny Depp'
Note that the (normally empty) builder class you provide will be filled in with appropriate setters and a build method.The generated build method will look something like:
public Person build() { Person _thePerson = new Person() _thePerson.first = first _thePerson.last = last _thePerson.born = born return _thePerson}
The class you are creating the builder for can be any Java or Groovy class following the normal JavaBean conventions,e.g. a no-arg constructor and setters for the properties. Here is an example using a Java class:
import groovy.transform.builder.*@Builder(builderStrategy=ExternalStrategy, forClass=javax.swing.DefaultButtonModel)class ButtonModelBuilder {}def model = new ButtonModelBuilder().enabled(true).pressed(true).armed(true).rollover(true).selected(true).build()assert model.isArmed()assert model.isPressed()assert model.isEnabled()assert model.isSelected()assert model.isRollover()
The generated builder can be customised using theprefix
,includes
,excludes
andbuildMethodName
annotation attributes.Here is an example illustrating various customisations:
import groovy.transform.builder.*import groovy.transform.Canonical@Canonicalclass Person { String first String last int born}@Builder(builderStrategy=ExternalStrategy, forClass=Person, includes=['first', 'last'], buildMethodName='create', prefix='with')class PersonBuilder { }def p = new PersonBuilder().withFirst('Johnny').withLast('Depp').create()assert "$p.first $p.last" == 'Johnny Depp'
ThebuilderMethodName
andbuilderClassName
annotation attributes for@Builder
aren’t applicable for this strategy.
You can use theExternalStrategy
in conjunction with@TupleConstructor
. If your@Builder
annotation doesn’t haveexplicitincludes
orexcludes
annotation attributes but the@TupleConstructor
annotation of the class you are creatingthe builder for does, the ones from@TupleConstructor
will be re-used for@Builder
. The same applies for anyannotation aliases which combine@TupleConstructor
such as@Canonical
.
To use theDefaultStrategy
, annotate your Groovy class using the@Builder
annotation as shown in this example:
import groovy.transform.builder.Builder@Builderclass Person { String firstName String lastName int age}def person = Person.builder().firstName("Robert").lastName("Lewandowski").age(21).build()assert person.firstName == "Robert"assert person.lastName == "Lewandowski"assert person.age == 21
If you want, you can customize various aspects of the building processusing thebuilderClassName
,buildMethodName
,builderMethodName
,prefix
,includes
andexcludes
annotation attributes,some of which are used in the example here:
import groovy.transform.builder.Builder@Builder(buildMethodName='make', builderMethodName='maker', prefix='with', excludes='age')class Person { String firstName String lastName int age}def p = Person.maker().withFirstName("Robert").withLastName("Lewandowski").make()assert "$p.firstName $p.lastName" == "Robert Lewandowski"
This strategy also supports annotating static methods and constructors. In this case, the static method or constructorparameters become the properties to use for building purposes and in the case of static methods, the return typeof the method becomes the target class being built. If you have more than one@Builder
annotation used withina class (at either the class, method or constructor positions) then it is up to you to ensure that the generatedhelper classes and factory methods have unique names (i.e. no more than one can use the default name values).Here is an example highlighting method and constructor usage (and also illustrating the renaming required for unique names).
import groovy.transform.builder.*import groovy.transform.*@ToString@Builderclass Person { String first, last int born Person(){} @Builder(builderClassName='MovieBuilder', builderMethodName='byRoleBuilder') Person(String roleName) { if (roleName == 'Jack Sparrow') { this.first = 'Johnny'; this.last = 'Depp'; this.born = 1963 } } @Builder(builderClassName='NameBuilder', builderMethodName='nameBuilder', prefix='having', buildMethodName='fullName') static String join(String first, String last) { first + ' ' + last } @Builder(builderClassName='SplitBuilder', builderMethodName='splitBuilder') static Person split(String name, int year) { def parts = name.split(' ') new Person(first: parts[0], last: parts[1], born: year) }}assert Person.splitBuilder().name("Johnny Depp").year(1963).build().toString() == 'Person(Johnny, Depp, 1963)'assert Person.byRoleBuilder().roleName("Jack Sparrow").build().toString() == 'Person(Johnny, Depp, 1963)'assert Person.nameBuilder().havingFirst('Johnny').havingLast('Depp').fullName() == 'Johnny Depp'assert Person.builder().first("Johnny").last('Depp').born(1963).build().toString() == 'Person(Johnny, Depp, 1963)'
TheforClass
annotation attribute is not supported for this strategy.
To use theInitializerStrategy
, annotate your Groovy class using the@Builder
annotation, and specify the strategy as shown in this example:
import groovy.transform.builder.*import groovy.transform.*@ToString@Builder(builderStrategy=InitializerStrategy)class Person { String firstName String lastName int age}
Your class will be locked down to have a single public constructor taking a "fully set" initializer.It will also have a factory method to create the initializer. These are used as follows:
@CompileStaticdef firstLastAge() { assert new Person(Person.createInitializer().firstName("John").lastName("Smith").age(21)).toString() == 'Person(John, Smith, 21)'}firstLastAge()
Any attempt to use the initializer which doesn’t involve setting all the properties (though order is not important) will result ina compilation error. If you don’t need this level of strictness, you don’t need to use@CompileStatic
.
You can use theInitializerStrategy
in conjunction with@Canonical
and@Immutable
. If your@Builder
annotationdoesn’t have explicitincludes
orexcludes
annotation attributes but your@Canonical
annotation does, the onesfrom@Canonical
will be re-used for@Builder
. Here is an example using@Builder
with@Immutable
:
import groovy.transform.builder.*import groovy.transform.*import static groovy.transform.options.Visibility.PRIVATE@Builder(builderStrategy=InitializerStrategy)@Immutable@VisibilityOptions(PRIVATE)class Person { String first String last int born}def publicCons = Person.constructorsassert publicCons.size() == 1@CompileStaticdef createFirstLastBorn() { def p = new Person(Person.createInitializer().first('Johnny').last('Depp').born(1963)) assert "$p.first $p.last $p.born" == 'Johnny Depp 1963'}createFirstLastBorn()
The annotation attributeuseSetters
can be used if you have a setter which you want called as part of theconstruction process. See the JavaDoc for details.
This strategy also supports annotating static methods and constructors. In this case, the static method or constructorparameters become the properties to use for building purposes and in the case of static methods, the return typeof the method becomes the target class being built. If you have more than one@Builder
annotation used withina class (at either the class, method or constructor positions) then it is up to you to ensure that the generatedhelper classes and factory methods have unique names (i.e. no more than one can use the default name values).For an example of method and constructor usage but using theDefaultStrategy
strategy, consult that strategy’sdocumentation.
The annotation attributeforClass
is not supported for this strategy.
@groovy.transform.AutoImplement
The@AutoImplement
AST transformation supplies dummy implementations for any found abstract methods fromsuperclasses or interfaces. The dummy implementation is the same for all abstract methods found and can be:
essentially empty (exactly true for void methods and for methods with a return type, returns the default value forthat type)
a statement that throws a specified exception (with optional message)
some user supplied code
The first example illustrates the default case. Our class is annotated with@AutoImplement
,has a superclass and a single interface as can be seen here:
import groovy.transform.AutoImplement@AutoImplementclass MyNames extends AbstractList<String> implements Closeable { }
Avoid close()
method from theCloseable
interface is supplied and left empty. Implementations are also suppliedfor the three abstract methods from the super class. Theget
,addAll
andsize
methodshave return types ofString
,boolean
andint
respectively with default valuesnull
,false
and0
. We can use our class (and check the expected return type for oneof the methods) using the following code:
assert new MyNames().size() == 0
It is also worthwhile examining the equivalent generated code:
class MyNames implements Closeable extends AbstractList<String> { String get(int param0) { return null } boolean addAll(Collection<? extends String> param0) { return false } void close() throws Exception { } int size() { return 0 }}
The second example illustrates the simplest exception case. Our class is annotated with@AutoImplement
,has a superclass and an annotation attribute indicates that anIOException
should be thrown if any ofour "dummy" methods are called. Here is the class definition:
@AutoImplement(exception=IOException)class MyWriter extends Writer { }
We can use the class (and check the expected exception is thrown for oneof the methods) using the following code:
import static groovy.test.GroovyAssert.shouldFailshouldFail(IOException) { new MyWriter().flush()}
It is also worthwhile examining the equivalent generated code where three void methodshave been provided all of which throw the supplied exception:
class MyWriter extends Writer { void flush() throws IOException { throw new IOException() } void write(char[] param0, int param1, int param2) throws IOException { throw new IOException() } void close() throws Exception { throw new IOException() }}
The third example illustrates the exception case with a supplied message. Our class is annotated with@AutoImplement
,implements an interface, and has annotation attributes to indicate that anUnsupportedOperationException
withNot supported by MyIterator
as the message should be thrown for any supplied methods. Here is the class definition:
@AutoImplement(exception=UnsupportedOperationException, message='Not supported by MyIterator')class MyIterator implements Iterator<String> { }
We can use the class (and check the expected exception is thrown and has the correct messagefor one of the methods) using the following code:
def ex = shouldFail(UnsupportedOperationException) { new MyIterator().hasNext()}assert ex.message == 'Not supported by MyIterator'
It is also worthwhile examining the equivalent generated code where three void methodshave been provided all of which throw the supplied exception:
class MyIterator implements Iterator<String> { boolean hasNext() { throw new UnsupportedOperationException('Not supported by MyIterator') } String next() { throw new UnsupportedOperationException('Not supported by MyIterator') }}
The fourth example illustrates the case of user supplied code. Our class is annotated with@AutoImplement
,implements an interface, has an explicitly overriddenhasNext
method, and has an annotation attribute containing thesupplied code for any supplied methods. Here is the class definition:
@AutoImplement(code = { throw new UnsupportedOperationException('Should never be called but was called on ' + new Date()) })class EmptyIterator implements Iterator<String> { boolean hasNext() { false }}
We can use the class (and check the expected exception is thrown and has a message of the expected form)using the following code:
def ex = shouldFail(UnsupportedOperationException) { new EmptyIterator().next()}assert ex.message.startsWith('Should never be called but was called on ')
It is also worthwhile examining the equivalent generated code where thenext
method has been supplied:
class EmptyIterator implements java.util.Iterator<String> { boolean hasNext() { false } String next() { throw new UnsupportedOperationException('Should never be called but was called on ' + new Date()) }}
@groovy.transform.NullCheck
The@NullCheck
AST transformation adds null-check guard statements to constructors and methodswhich cause those methods to fail early when supplied with null arguments.It can be seen as a form of defensive programming.The annotation can be added to individual methods or constructors, or to the classin which case it will apply to all methods/constructors.
@NullCheckString longerOf(String first, String second) { first.size() >= second.size() ? first : second}assert longerOf('cat', 'canary') == 'canary'def ex = shouldFail(IllegalArgumentException) { longerOf('cat', null)}assert ex.message == 'second cannot be null'
This category of annotations are aimed at simplifying the implementation of well-known design patterns (delegation,singleton, …) by using a declarative style.
@groovy.transform.BaseScript
@BaseScript
is used within scripts to indicate that the script shouldextend from a custom script base class rather thangroovy.lang.Script
.See the documentation fordomain specific languages for further details.
@groovy.lang.Delegate
The@Delegate
AST transformation aims at implementing the delegation design pattern. In the following class:
class Event { @Delegate Date when String title}
Thewhen
property is annotated with@Delegate
, meaning that theEvent
class will delegate calls toDate
methodsto thewhen
property. In this case, the generated code looks like this:
class Event { Date when String title boolean before(Date other) { when.before(other) } // ...}
Then you can call thebefore
method, for example, directly on theEvent
class:
def ev = new Event(title:'Groovy keynote', when: Date.parse('yyyy/MM/dd', '2013/09/10'))def now = new Date()assert ev.before(now)
Instead of annotating a property (or field), you can also annotate a method.In this case, the method can be thought of as a getter or factory method for the delegate.As an example, here is a class which (rather unusually) has a pool of delegates which areaccessed in a round-robin fashion:
class Test { private int robinCount = 0 private List<List> items = [[0], [1], [2]] @Delegate List getRoundRobinList() { items[robinCount++ % items.size()] } void checkItems(List<List> testValue) { assert items == testValue }}
Here is an example usage of that class:
def t = new Test()t << 'fee't << 'fi't << 'fo't << 'fum't.checkItems([[0, 'fee', 'fum'], [1, 'fi'], [2, 'fo']])
Using a standard list in this round-robin fashion would violate many expected properties of lists, sodon’t expect the above class to do anything useful beyond this trivial example.
The behavior of the@Delegate
AST transformation can be changed using the following parameters:
Attribute | Default value | Description | Example |
---|---|---|---|
interfaces | True | Should the interfaces implemented by the field be implemented by the class too |
|
deprecated | false | If true, also delegates methods annotated with @Deprecated |
|
methodAnnotations | False | Whether to carry over annotations from the methods of the delegate to your delegating method. |
|
parameterAnnotations | False | Whether to carry over annotations from the method parameters of the delegate to your delegating method. |
|
excludes | Empty array | A list of methods to be excluded from delegation. For more fine-grained control, see also |
|
includes | Undefined marker array (indicates all methods) | A list of methods to be included in delegation. For morefine-grainedcontrol, see also |
|
excludeTypes | Empty array | A list of interfaces containing method signatures to be excluded from delegation |
|
includeTypes | Undefined marker array (indicates no list be default) | A list of interfaces containing method signatures to be included in delegation |
|
allNames | False | Should the delegate pattern be also applied to methods with internal names |
|
@groovy.transform.Immutable
The@Immutable
meta-annotation combines the following annotations:
The@Immutable
meta-annotation simplifies the creation of immutable classes. Immutable classes are usefulsince they are often easier to reason about and are inherently thread-safe.SeeEffective Java, Minimize Mutability for all the detailsabout how to achieve immutable classes in Java. The@Immutable
meta-annotation does most of the things describedinEffective Java for you automatically.To use the meta-annotation, all you have to do is annotate the class like in the following example:
import groovy.transform.Immutable@Immutableclass Point { int x int y}
One of the requirements for immutable classes is that there is no way to modify any state information within the class.One requirement to achieve this is to use immutable classes for each property or alternatively perform special codingsuch as defensive copy in and defensive copy out for any mutable properties within the constructorsand property getters. Between@ImmutableBase
,@MapConstructor
and@TupleConstructor
propertiesare either identified as immutable or the special coding for numerous known cases is handled automatically.Various mechanisms are provided for you to extend the handled property types which are allowed. See@ImmutableOptions
and@KnownImmutable
for details.
The results of applying@Immutable
to a class are pretty similar to those ofapplying the@Canonical meta-annotation but the generated class will have extralogic to handle immutability. You will observe this by, for instance, trying to modify a propertywhich will result in aReadOnlyPropertyException
being thrown since the backing field for the propertywill have been automatically made final.
The@Immutable
meta-annotation supports the configuration options found in the annotationsit aggregates. See those annotations for more details.
@groovy.transform.ImmutableBase
Immutable classes generated with@ImmutableBase
are automatically made final. Also, the type of each property is checkedand various checks are made on the class, for example, public instance fields currently aren’t allowed. It also generatesacopyWith
constructor if desired.
The following annotation attribute is supported:
Attribute | Default value | Description | Example |
---|---|---|---|
copyWith | false | A boolean whether to generate a |
|
@groovy.transform.PropertyOptions
This annotation allows you to specify a custom property handler to be used by transformationsduring class construction. It is ignored by the main Groovy compiler but is referenced by other transformationslike@TupleConstructor
,@MapConstructor
, and@ImmutableBase
. It is frequently used behind thescenes by the@Immutable
meta-annotation.
@groovy.transform.VisibilityOptions
This annotation allows you to specify a custom visibility for a construct generated by another transformation.It is ignored by the main Groovy compiler but is referenced by other transformationslike@TupleConstructor
,@MapConstructor
, and@NamedVariant
.
@groovy.transform.ImmutableOptions
Groovy’s immutability support relies on a predefined list of known immutable classes (likejava.net.URI
orjava.lang.String
and fails if you use a type which is not in that list, you are allowed to add to the list of known immutable typesthanks to the following annotation attributes of the@ImmutableOptions
annotation:
Attribute | Default value | Description | Example |
---|---|---|---|
knownImmutableClasses | Empty list | A list of classes which are deemed immutable. |
|
knownImmutables | Empty list | A list of property names which are deemed immutable. |
|
If you deem a type as immutable and it isn’t one of the ones automatically handled, then it is up to youto correctly code that class to ensure immutability.
@groovy.transform.KnownImmutable
The@KnownImmutable
annotation isn’t actually one that triggers any AST transformations. It is simplya marker annotation. You can annotate your classes with the annotation (including Java classes) and theywill be recognized as acceptable types for members within an immutable class. This saves you having toexplicitly use theknownImmutables
orknownImmutableClasses
annotation attributes from@ImmutableOptions
.
@groovy.transform.Memoized
The@Memoized
AST transformations simplifies the implementation of caching by allowing the result of method callsto be cached just by annotating the method with@Memoized
. Let’s imagine the following method:
long longComputation(int seed) { // slow computation Thread.sleep(100*seed) System.nanoTime()}
This emulates a long computation, based on the actual parameters of the method. Without@Memoized
, each method callwould take several seconds plus it would return a random result:
def x = longComputation(1)def y = longComputation(1)assert x!=y
Adding@Memoized
changes the semantics of the method by adding caching, based on the parameters:
@Memoizedlong longComputation(int seed) { // slow computation Thread.sleep(100*seed) System.nanoTime()}def x = longComputation(1) // returns after 100 millisecondsdef y = longComputation(1) // returns immediatelydef z = longComputation(2) // returns after 200 millisecondsassert x==yassert x!=z
The size of the cache can be configured using two optional parameters:
protectedCacheSize: the number of results which are guaranteed not to be cleared after garbage collection
maxCacheSize: the maximum number of results that can be kept in memory
By default, the size of the cache is unlimited and no cache result is protected from garbage collection. Setting aprotectedCacheSize>0 would create an unlimited cache with some results protected. SettingmaxCacheSize>0 would create a limited cache but without any protection from garbage protection. Setting both would create a limited, protected cache.
@groovy.transform.TailRecursive
The@TailRecursive
annotation can be used to automatically transform a recursive call at the end of a methodinto an equivalent iterative version of the same code. This avoids stack overflow due to too many recursive calls.Below is an example of use when calculating factorial:
import groovy.transform.CompileStaticimport groovy.transform.TailRecursive@CompileStaticclass Factorial { @TailRecursive static BigInteger factorial( BigInteger i, BigInteger product = 1) { if( i == 1) { return product } return factorial(i-1, product*i) }}assert Factorial.factorial(1) == 1assert Factorial.factorial(3) == 6assert Factorial.factorial(5) == 120assert Factorial.factorial(50000).toString().size() == 213237 // Big number and no Stack Overflow
Currently, the annotation will only work for self-recursive method calls, i.e. a single recursive call to the exact same method again.Consider using Closures andtrampoline()
if you have a scenario involving simple mutual recursion.Also note that only non-void methods are currently handled (void calls will result in a compilation error).
Currently, some forms of method overloading can trick the compiler,and some non-tail recursive calls are erroneously treated as tail recursive. |
@groovy.lang.Singleton
The@Singleton
annotation can be used to implement the singleton design pattern on a class. The singleton instanceis defined eagerly by default, using class initialization, or lazily, in which case the field is initialized usingdouble-checked locking.
@Singletonclass GreetingService { String greeting(String name) { "Hello, $name!" }}assert GreetingService.instance.greeting('Bob') == 'Hello, Bob!'
By default, the singleton is created eagerly when the class is initialized and available through theinstance
property.It is possible to change the name of the singleton using theproperty
parameter:
@Singleton(property='theOne')class GreetingService { String greeting(String name) { "Hello, $name!" }}assert GreetingService.theOne.greeting('Bob') == 'Hello, Bob!'
And it is also possible to make initialization lazy using thelazy
parameter:
class Collaborator { public static boolean init = false}@Singleton(lazy=true,strict=false)class GreetingService { static void init() {} GreetingService() { Collaborator.init = true } String greeting(String name) { "Hello, $name!" }}GreetingService.init() // make sure class is initializedassert Collaborator.init == falseGreetingService.instanceassert Collaborator.init == trueassert GreetingService.instance.greeting('Bob') == 'Hello, Bob!'
In this example, we also set thestrict
parameter to false, which allows us to define our own constructor.
@groovy.lang.Mixin
Deprecated. Consider using traits instead.
Groovy provides a family of AST transformations that help with integration of the most widelyused logging frameworks. There is a transform and associated annotation for each of the common frameworks.These transforms provide a streamlined declarative approach to using the logging framework.In each case, the transform will:
add a static finallog
field to the annotated class corresponding to the logger
wrap all calls tolog.level()
into the appropriatelog.isLevelEnabled
guard, depending on the underlying framework
Those transformations support two parameters:
value
(defaultlog
) corresponds to the name of the logger field
category
(defaults to the class name) is the name of the logger category
It’s worth noting that annotating a class with one of those annotations doesn’tprevent you from using the logging framework using the normal long-hand approach.
@groovy.util.logging.Log
The first logging AST transformation available is the@Log
annotation which relies on the JDK logging framework. Writing:
@groovy.util.logging.Logclass Greeter { void greet() { log.info 'Called greeter' println 'Hello, world!' }}
is equivalent to writing:
import java.util.logging.Levelimport java.util.logging.Loggerclass Greeter { private static final Logger log = Logger.getLogger(Greeter.name) void greet() { if (log.isLoggable(Level.INFO)) { log.info 'Called greeter' } println 'Hello, world!' }}
@groovy.util.logging.Commons
Groovy supports theApache Commons Logging framework using the@Commons
annotation. Writing:
@groovy.util.logging.Commonsclass Greeter { void greet() { log.debug 'Called greeter' println 'Hello, world!' }}
is equivalent to writing:
import org.apache.commons.logging.LogFactoryimport org.apache.commons.logging.Logclass Greeter { private static final Log log = LogFactory.getLog(Greeter) void greet() { if (log.isDebugEnabled()) { log.debug 'Called greeter' } println 'Hello, world!' }}
You still need to add the appropriate commons-logging jar to your classpath.
@groovy.util.logging.Log4j
Groovy supports theApache Log4j 1.x framework using the@Log4j
annotation. Writing:
@groovy.util.logging.Log4jclass Greeter { void greet() { log.debug 'Called greeter' println 'Hello, world!' }}
is equivalent to writing:
import org.apache.log4j.Loggerclass Greeter { private static final Logger log = Logger.getLogger(Greeter) void greet() { if (log.isDebugEnabled()) { log.debug 'Called greeter' } println 'Hello, world!' }}
You still need to add the appropriate log4j jar to your classpath.This annotation can also be used with the compatiblereload4j log4jdrop-in replacement, just use the jar from that project instead of a log4j jar.
@groovy.util.logging.Log4j2
Groovy supports theApache Log4j 2.x framework using the@Log4j2
annotation. Writing:
@groovy.util.logging.Log4j2class Greeter { void greet() { log.debug 'Called greeter' println 'Hello, world!' }}
is equivalent to writing:
import org.apache.logging.log4j.LogManagerimport org.apache.logging.log4j.Loggerclass Greeter { private static final Logger log = LogManager.getLogger(Greeter) void greet() { if (log.isDebugEnabled()) { log.debug 'Called greeter' } println 'Hello, world!' }}
You still need to add the appropriate log4j2 jar to your classpath.
@groovy.util.logging.Slf4j
Groovy supports theSimple Logging Facade for Java (SLF4J) framework using the@Slf4j
annotation. Writing:
@groovy.util.logging.Slf4jclass Greeter { void greet() { log.debug 'Called greeter' println 'Hello, world!' }}
is equivalent to writing:
import org.slf4j.LoggerFactoryimport org.slf4j.Loggerclass Greeter { private static final Logger log = LoggerFactory.getLogger(Greeter) void greet() { if (log.isDebugEnabled()) { log.debug 'Called greeter' } println 'Hello, world!' }}
You still need to add the appropriate slf4j jar(s) to your classpath.
@groovy.util.logging.PlatformLog
Groovy supports theJava Platform Logging API and Serviceframework using the@PlatformLog
annotation. Writing:
@groovy.util.logging.PlatformLogclass Greeter { void greet() { log.info 'Called greeter' println 'Hello, world!' }}
is equivalent to writing:
import java.lang.System.Loggerimport java.lang.System.LoggerFinderimport static java.lang.System.Logger.Level.INFOclass Greeter { private static final transient Logger log = LoggerFinder.loggerFinder.getLogger(Greeter.class.name, Greeter.class.module) void greet() { log.log INFO, 'Called greeter' println 'Hello, world!' }}
You need to be using JDK 9+ to use this capability.
The Groovy language provides a set of annotations aimed at simplifying common concurrency patterns in a declarativeapproach.
@groovy.transform.Synchronized
The@Synchronized
AST transformations works in a similar way to thesynchronized
keyword but locks on differentobjects for safer concurrency. It can be applied on any method or static method:
import groovy.transform.Synchronizedimport java.util.concurrent.Executorsimport java.util.concurrent.TimeUnitclass Counter { int cpt @Synchronized int incrementAndGet() { cpt++ } int get() { cpt }}
Writing this is equivalent to creating a lock object and wrapping the whole method into a synchronized block:
class Counter { int cpt private final Object $lock = new Object() int incrementAndGet() { synchronized($lock) { cpt++ } } int get() { cpt }}
By default,@Synchronized
creates a field named$lock
(or$LOCK
for a static method) but you can make it use anyfield you want by specifying the value attribute, like in the following example:
import groovy.transform.Synchronizedimport java.util.concurrent.Executorsimport java.util.concurrent.TimeUnitclass Counter { int cpt private final Object myLock = new Object() @Synchronized('myLock') int incrementAndGet() { cpt++ } int get() { cpt }}
@groovy.transform.WithReadLock
and@groovy.transform.WithWriteLock
The@WithReadLock
AST transformation works in conjunction with the@WithWriteLock
transformationto provide read/write synchronization using theReentrantReadWriteLock
facility that the JDK provides. The annotationcan be added to a method or a static method. It will transparently create a$reentrantLock
final field (or$REENTRANTLOCK
for a static method) and proper synchronization code will be added. For example, the following code:
import groovy.transform.WithReadLockimport groovy.transform.WithWriteLockclass Counters { public final Map<String,Integer> map = [:].withDefault { 0 } @WithReadLock int get(String id) { map.get(id) } @WithWriteLock void add(String id, int num) { Thread.sleep(200) // emulate long computation map.put(id, map.get(id)+num) }}
is equivalent to this:
import groovy.transform.WithReadLock as WithReadLockimport groovy.transform.WithWriteLock as WithWriteLockpublic class Counters { private final Map<String, Integer> map private final java.util.concurrent.locks.ReentrantReadWriteLock $reentrantlock public int get(java.lang.String id) { $reentrantlock.readLock().lock() try { map.get(id) } finally { $reentrantlock.readLock().unlock() } } public void add(java.lang.String id, int num) { $reentrantlock.writeLock().lock() try { java.lang.Thread.sleep(200) map.put(id, map.get(id) + num ) } finally { $reentrantlock.writeLock().unlock() } }}
Both@WithReadLock
and@WithWriteLock
support specifying an alternative lock object. In that case, the referenced field must be declared by the user, like in the following alternative:
import groovy.transform.WithReadLockimport groovy.transform.WithWriteLockimport java.util.concurrent.locks.ReentrantReadWriteLockclass Counters { public final Map<String,Integer> map = [:].withDefault { 0 } private final ReentrantReadWriteLock customLock = new ReentrantReadWriteLock() @WithReadLock('customLock') int get(String id) { map.get(id) } @WithWriteLock('customLock') void add(String id, int num) { Thread.sleep(200) // emulate long computation map.put(id, map.get(id)+num) }}
For details
See Javadoc forgroovy.transform.WithReadLock
See Javadoc forgroovy.transform.WithWriteLock
Groovy provides two annotations aimed at facilitating the implementation ofCloneable
andExternalizable
interfaces,respectively named@AutoClone
and@AutoExternalize
.
@groovy.transform.AutoClone
The@AutoClone
annotation is aimed at implementing the@java.lang.Cloneable
interface using various strategies, thanks to thestyle
parameter:
the defaultAutoCloneStyle.CLONE
strategy callssuper.clone()
first thenclone()
on each cloneable property
theAutoCloneStyle.SIMPLE
strategy uses a regular constructor call and copies properties from the source to the clone
theAutoCloneStyle.COPY_CONSTRUCTOR
strategy creates and uses a copy constructor
theAutoCloneStyle.SERIALIZATION
strategy uses serialization (or externalization) to clone the object
Each of those strategies have pros and cons which are discussed in the Javadoc forgroovy.transform.AutoClone andgroovy.transform.AutoCloneStyle .
For example, the following example:
import groovy.transform.AutoClone@AutoCloneclass Book { String isbn String title List<String> authors Date publicationDate}
is equivalent to this:
class Book implements Cloneable { String isbn String title List<String> authors Date publicationDate public Book clone() throws CloneNotSupportedException { Book result = super.clone() result.authors = authors instanceof Cloneable ? (List) authors.clone() : authors result.publicationDate = publicationDate.clone() result }}
Note that the String properties aren’t explicitly handled because Strings are immutable and theclone()
method fromObject
will copy the String references. The same would apply to primitive fields and most of the concrete subclasses ofjava.lang.Number
.
In addition to cloning styles,@AutoClone
supports multiple options:
Attribute | Default value | Description | Example |
---|---|---|---|
excludes | Empty list | A list of property or field names that need to be excluded from cloning. A string consisting of a comma-separated field/property names is also allowed.Seegroovy.transform.AutoClone#excludes for details |
|
includeFields | false | By default, only properties are cloned. Setting this flag to true will also clone fields. |
|
@groovy.transform.AutoExternalize
The@AutoExternalize
AST transformation will assist in the creation ofjava.io.Externalizable
classes. It willautomatically add the interface to the class and generate thewriteExternal
andreadExternal
methods. For example, thiscode:
import groovy.transform.AutoExternalize@AutoExternalizeclass Book { String isbn String title float price}
will be converted into:
class Book implements java.io.Externalizable { String isbn String title float price void writeExternal(ObjectOutput out) throws IOException { out.writeObject(isbn) out.writeObject(title) out.writeFloat( price ) } public void readExternal(ObjectInput oin) { isbn = (String) oin.readObject() title = (String) oin.readObject() price = oin.readFloat() }}
The@AutoExternalize
annotation supports two parameters which will let you slightly customize its behavior:
Attribute | Default value | Description | Example |
---|---|---|---|
excludes | Empty list | A list of property or field names that need to be excluded from externalizing. A string consisting of a comma-separated field/property names is also allowed.Seegroovy.transform.AutoExternalize#excludes for details |
|
includeFields | false | By default, only properties are externalized. Setting this flag to true will also clone fields. |
|
The Groovy language makes it easy to execute user scripts at runtime (for example usinggroovy.lang.GroovyShell),but how do you make sure that a script won’t eat all CPU (infinite loops) or that concurrent scripts won’t slowly consumeall available threads of a thread pool? Groovy provides several annotations which are aimed towards safer scripting,generating code which will for example allow you to interrupt execution automatically.
@groovy.transform.ThreadInterrupt
One complicated situation in the JVM world is when a thread can’t be stopped. TheThread#stop
method exists but isdeprecated (and isn’t reliable) so your only chance lies inThread#interrupt
. Calling the latter will set theinterrupt
flag on the thread, but it willnot stop the execution of the thread. This is problematic because it’s theresponsibility of the code executing in the thread to check the interrupt flag and properly exit. This makes sense whenyou, as a developer, know that the code you are executing is meant to be run in an independent thread, but in general,you don’t know it. It’s even worse with user scripts, who might not even know what a thread is (think of DSLs).
@ThreadInterrupt
simplifies this by adding thread interruption checks at critical places in the code:
loops (for, while)
first instruction of a method
first instruction of a closure body
Let’s imagine the following user script:
while (true) { i++}
This is an obvious infinite loop. If this code executes in its own thread, interrupting wouldn’t help: if youjoin
onthe thread, then the calling code would be able to continue, but the thread would still be alive, running in backgroundwithout any ability for you to stop it, slowly causing thread starvation.
One possibility to work around this is to set up your shell this way:
def config = new CompilerConfiguration()config.addCompilationCustomizers( new ASTTransformationCustomizer(ThreadInterrupt))def binding = new Binding(i:0)def shell = new GroovyShell(binding,config)
The shell is then configured to automatically apply the@ThreadInterrupt
AST transformations on all scripts. This allowsyou to execute user scripts this way:
def t = Thread.start { shell.evaluate(userCode)}t.join(1000) // give at most 1000ms for the script to completeif (t.alive) { t.interrupt()}
The transformation automatically modified user code like this:
while (true) { if (Thread.currentThread().interrupted) { throw new InterruptedException('The current thread has been interrupted.') } i++}
The check which is introduced inside the loop guarantees that if theinterrupt
flag is set on the current thread, anexception will be thrown, interrupting the execution of the thread.
@ThreadInterrupt
supports multiple options that will let you further customize the behavior of the transformation:
Attribute | Default value | Description | Example |
---|---|---|---|
thrown |
| Specifies the type of exception which is thrown if the thread is interrupted. |
|
checkOnMethodStart | true | Should an interruption check be inserted at the beginning of each method body. Seegroovy.transform.ThreadInterrupt for details. |
|
applyToAllClasses | true | Should the transformation be applied on all classes of the same source unit (in the same source file). Seegroovy.transform.ThreadInterrupt for details. |
|
applyToAllMembers | true | Should the transformation be applied on all members of class. Seegroovy.transform.ThreadInterrupt for details. |
|
@groovy.transform.TimedInterrupt
The@TimedInterrupt
AST transformation tries to solve a slightly different problem from@groovy.transform.ThreadInterrupt
: instead of checking theinterrupt
flag of the thread, it will automaticallythrow an exception if the thread has been running for too long.
This annotation doesnot spawn a monitoring thread. Instead, it works in a similar manner as@ThreadInterrupt by placing checks at appropriate places in the code. This means that if youhave a thread blocked by I/O, it willnot be interrupted. |
Imagine the following user code:
def fib(int n) { n<2?n:fib(n-1)+fib(n-2) }result = fib(600)
The implementation of the famous Fibonacci number computation here is far from optimized. If it is called with a highn
value, it can take minutes to answer. With@TimedInterrupt
, you canchoose how long a script is allowed to run. The following setup code will allow the user script to run for 1 second at max:
def config = new CompilerConfiguration()config.addCompilationCustomizers( new ASTTransformationCustomizer(value:1, TimedInterrupt))def binding = new Binding(result:0)def shell = new GroovyShell(this.class.classLoader, binding,config)
This code is equivalent to annotating a class with@TimedInterrupt
like this:
@TimedInterrupt(value=1, unit=TimeUnit.SECONDS)class MyClass { def fib(int n) { n<2?n:fib(n-1)+fib(n-2) }}
@TimedInterrupt
supports multiple options that will let you further customize the behavior of the transformation:
Attribute | Default value | Description | Example |
---|---|---|---|
value | Long.MAX_VALUE | Used in combination with |
|
unit | TimeUnit.SECONDS | Used in combination with |
|
thrown |
| Specifies the type of exception which is thrown if timeout is reached. |
|
checkOnMethodStart | true | Should an interruption check be inserted at the beginning of each method body. Seegroovy.transform.TimedInterrupt for details. |
|
applyToAllClasses | true | Should the transformation be applied on all classes of the same source unit (in the same source file). Seegroovy.transform.TimedInterrupt for details. |
|
applyToAllMembers | true | Should the transformation be applied on all members of class. Seegroovy.transform.TimedInterrupt for details. |
|
@TimedInterrupt is currently not compatible with static methods! |
@groovy.transform.ConditionalInterrupt
The last annotation for safer scripting is the base annotation when you want to interrupt a script using a custom strategy. In particular, this is the annotation of choice if youwant to use resource management (limit the number of calls to an API, …). In the following example, user code is using an infinite loop, but@ConditionalInterrupt
will allow usto check a quota manager and interrupt automatically the script:
@ConditionalInterrupt({Quotas.disallow('user')})class UserCode { void doSomething() { int i=0 while (true) { println "Consuming resources ${++i}" } }}
The quota checking is very basic here, but it can be any code:
class Quotas { static def quotas = [:].withDefault { 10 } static boolean disallow(String userName) { println "Checking quota for $userName" (quotas[userName]--)<0 }}
We can make sure@ConditionalInterrupt
works properly using this test code:
assert Quotas.quotas['user'] == 10def t = Thread.start { new UserCode().doSomething()}t.join(5000)assert !t.aliveassert Quotas.quotas['user'] < 0
Of course, in practice, it is unlikely that@ConditionalInterrupt
will be itself added by hand on user code. It can be injected in a similar manner as the example shown in theThreadInterrupt section, using theorg.codehaus.groovy.control.customizers.ASTTransformationCustomizer :
def config = new CompilerConfiguration()def checkExpression = new ClosureExpression( Parameter.EMPTY_ARRAY, new ExpressionStatement( new MethodCallExpression(new ClassExpression(ClassHelper.make(Quotas)), 'disallow', new ConstantExpression('user')) ))config.addCompilationCustomizers( new ASTTransformationCustomizer(value: checkExpression, ConditionalInterrupt))def shell = new GroovyShell(this.class.classLoader,new Binding(),config)def userCode = """ int i=0 while (true) { println "Consuming resources \\${++i}" }"""assert Quotas.quotas['user'] == 10def t = Thread.start { shell.evaluate(userCode)}t.join(5000)assert !t.aliveassert Quotas.quotas['user'] < 0
@ConditionalInterrupt
supports multiple options that will let you further customize the behavior of the transformation:
Attribute | Default value | Description | Example |
---|---|---|---|
value | The closure which will be called to check if execution is allowed. If the closure returns false, execution is allowed. If it returns true, then an exception will be thrown. |
| |
thrown |
| Specifies the type of exception which is thrown if execution should be aborted. |
|
checkOnMethodStart | true | Should an interruption check be inserted at the beginning of each method body. Seegroovy.transform.ConditionalInterrupt for details. |
|
applyToAllClasses | true | Should the transformation be applied on all classes of the same source unit (in the same source file). Seegroovy.transform.ConditionalInterrupt for details. |
|
applyToAllMembers | true | Should the transformation be applied on all members of class. Seegroovy.transform.ConditionalInterrupt for details. |
|
This category of AST transformations groups annotations which have a direct impact on the semantics of the code, ratherthan focusing on code generation. With that regards, they can be seen as compiler directives that either change thebehavior of a program at compile time or runtime.
@groovy.transform.Field
The@Field
annotation only makes sense in the context of a script and aims at solving a common scoping error withscripts. The following example will for example fail at runtime:
def xString line() { "="*x}x=3assert "===" == line()x=5assert "=====" == line()
The error that is thrown may be difficult to interpret: groovy.lang.MissingPropertyException: No such property: x. The reason is that scripts are compiledto classes and the script body is itself compiled as a singlerun() method. Methods which are defined in the scripts are independent, so the code above isequivalent to this:
class MyScript extends Script { String line() { "="*x } public def run() { def x x=3 assert "===" == line() x=5 assert "=====" == line() }}
Sodef x
is effectively interpreted as a local variable, outside of the scope of theline
method. The@Field
AST transformation aims at fixing thisby changing the scope of the variable to a field of the enclosing script:
@Field def xString line() { "="*x}x=3assert "===" == line()x=5assert "=====" == line()
The resulting, equivalent, code is now:
class MyScript extends Script { def x String line() { "="*x } public def run() { x=3 assert "===" == line() x=5 assert "=====" == line() }}
@groovy.transform.PackageScope
By default, Groovy visibility rules imply that if you create a field without specifying a modifier, then the field is interpreted as a property:
class Person { String name // this is a property}
Should you want to create a package private field instead of a property (private field+getter/setter), then annotate your field with@PackageScope
:
class Person { @PackageScope String name // not a property anymore}
The@PackageScope
annotation can also be used for classes, methods and constructors. In addition, by specifying a listofPackageScopeTarget
values as the annotation attribute at the class level, all members within that class that don’thave an explicit modifier and match the providedPackageScopeTarget
will remain package protected. For example to applyto fields within a class use the following annotation:
import static groovy.transform.PackageScopeTarget.FIELDS@PackageScope(FIELDS)class Person { String name // not a property, package protected Date dob // not a property, package protected private int age // explicit modifier, so won't be touched}
The@PackageScope
annotation is seldom used as part of normal Groovy conventions but is sometimes usefulfor factory methods that should be visible internally within a package or for methods or constructors providedfor testing purposes, or when integrating with third-party libraries which require such visibility conventions.
@groovy.transform.Final
@Final
is essentially an alias for thefinal
modifier.The intention is that you would almost never use the@Final
annotation directly (just usefinal
).However, when creating meta-annotations that should applythe final modifier to the node being annotated, you can mix in@Final
, e.g..
@AnnotationCollector([Singleton,Final]) @interface MySingleton {}@MySingletonclass GreetingService { String greeting(String name) { "Hello, $name!" }}assert GreetingService.instance.greeting('Bob') == 'Hello, Bob!'assert Modifier.isFinal(GreetingService.modifiers)
@groovy.transform.AutoFinal
The@AutoFinal
annotation instructs the compiler to automatically insert the final modifierin numerous places within the annotated node. If applied on a method (or constructor), the parametersfor that method (or constructor) will be marked as final. If applied on a class definition, the sametreatment will occur for all declared methods and constructors within that class.
It is often considered bad practice to reassign parameters of a method or constructor with its body.By adding the final modifier to all parameter declarations you can avoid this practice entirely.Some programmers feel that adding final everywhere increases the amount of boilerplate code and makes themethod signatures somewhat noisy. An alternative might instead be to use a code review process or applyacodenarcruleto give warnings if that practice is observed but these alternatives might lead to delayed feedback duringquality checking rather than within the IDE or during compilation. The@AutoFinal
annotation aims tomaximise compiler/IDE feedback while retaining succinct code with minimum boilerplate noise.
The following example illustrates applying the annotation at the class level:
import groovy.transform.AutoFinal@AutoFinalclass Person { private String first, last Person(String first, String last) { this.first = first this.last = last } String fullName(String separator) { "$first$separator$last" } String greeting(String salutation) { "$salutation, $first" }}
In this example, the two parameters for the constructor and the single parameter forboth thefullname
andgreeting
methods will be final. Attempts to modify those parameters within theconstructor or method bodies will be flagged by the compiler.
The following example illustrates applying the annotation at the method level:
class Calc { @AutoFinal int add(int a, int b) { a + b } int mult(int a, int b) { a * b }}
Here, theadd
method will have final parameters but themult
method will remain unchanged.
@groovy.transform.AnnotationCollector
@AnnotationCollector
allows the creation of meta-annotations, which are described in adedicated section.
@groovy.transform.TypeChecked
@TypeChecked
activates compile-time type checking on your Groovy code. Seesection on type checking for details.
@groovy.transform.CompileStatic
@CompileStatic
activates static compilation on your Groovy code. Seesection on type checking for details.
@groovy.transform.CompileDynamic
@CompileDynamic
disables static compilation on parts of your Groovy code. Seesection on type checking for details.
@groovy.lang.DelegatesTo
@DelegatesTo
is not, technically speaking, an AST transformation. It is aimed at documenting code and helping the compiler in case you areusingtype checking orstatic compilation. The annotation is described thoroughly in theDSL section of this guide.
@groovy.transform.SelfType
@SelfType
is not an AST transformation but rather a marker interface usedwith traits. See thetraits documentation for further details.
@groovy.beans.Bindable
@Bindable
is an AST transformation that transforms a regular property into a bound property (according to theJavaBeans specification).The@Bindable
annotation can be placed on a property or a class. To convert all properties of a class into bound properties, on can annotate the class like in this example:
import groovy.beans.Bindable@Bindableclass Person { String name int age}
This is equivalent to writing this:
import java.beans.PropertyChangeListenerimport java.beans.PropertyChangeSupportclass Person { final private PropertyChangeSupport this$propertyChangeSupport String name int age public void addPropertyChangeListener(PropertyChangeListener listener) { this$propertyChangeSupport.addPropertyChangeListener(listener) } public void addPropertyChangeListener(String name, PropertyChangeListener listener) { this$propertyChangeSupport.addPropertyChangeListener(name, listener) } public void removePropertyChangeListener(PropertyChangeListener listener) { this$propertyChangeSupport.removePropertyChangeListener(listener) } public void removePropertyChangeListener(String name, PropertyChangeListener listener) { this$propertyChangeSupport.removePropertyChangeListener(name, listener) } public void firePropertyChange(String name, Object oldValue, Object newValue) { this$propertyChangeSupport.firePropertyChange(name, oldValue, newValue) } public PropertyChangeListener[] getPropertyChangeListeners() { return this$propertyChangeSupport.getPropertyChangeListeners() } public PropertyChangeListener[] getPropertyChangeListeners(String name) { return this$propertyChangeSupport.getPropertyChangeListeners(name) }}
@Bindable
therefore removes a lot of boilerplate from your class, dramatically increasing readability. If the annotation is put on a single property, only that property is bound:
import groovy.beans.Bindableclass Person { String name @Bindable int age}
@groovy.beans.ListenerList
The@ListenerList
AST transformation generates code for adding, removing and getting the list of listeners to a class, just by annotating a collection property:
import java.awt.event.ActionListenerimport groovy.beans.ListenerListclass Component { @ListenerList List<ActionListener> listeners;}
The transform will generate the appropriate add/remove methods based on the generic type of the list. In addition, it will also createfireXXX
methods based on the public methods declared on the class:
import java.awt.event.ActionEventimport java.awt.event.ActionListener as ActionListenerimport groovy.beans.ListenerList as ListenerListpublic class Component { @ListenerList private List<ActionListener> listeners public void addActionListener(ActionListener listener) { if ( listener == null) { return } if ( listeners == null) { listeners = [] } listeners.add(listener) } public void removeActionListener(ActionListener listener) { if ( listener == null) { return } if ( listeners == null) { listeners = [] } listeners.remove(listener) } public ActionListener[] getActionListeners() { Object __result = [] if ( listeners != null) { __result.addAll(listeners) } return (( __result ) as ActionListener[]) } public void fireActionPerformed(ActionEvent param0) { if ( listeners != null) { ArrayList<ActionListener> __list = new ArrayList<ActionListener>(listeners) for (def listener : __list ) { listener.actionPerformed(param0) } } }}
@Bindable
supports multiple options that will let you further customize the behavior of the transformation:
Attribute | Default value | Description | Example |
---|---|---|---|
name | Generic type name | By default, the suffix which will be appended to add/remove/… methods is the simple class name of the generic type of the list. |
|
synchronize | false | If set to true, generated methods will be synchronized |
|
@groovy.beans.Vetoable
The@Vetoable
annotation works in a similar manner to@Bindable
but generates constrained property according to the JavaBeans specification, instead of bound properties. The annotationcan be placed on a class, meaning that all properties will be converted to constrained properties, or on a single property. For example, annotating this class with@Vetoable
:
import groovy.beans.Vetoableimport java.beans.PropertyVetoExceptionimport java.beans.VetoableChangeListener@Vetoableclass Person { String name int age}
is equivalent to writing this:
public class Person { private String name private int age final private java.beans.VetoableChangeSupport this$vetoableChangeSupport public void addVetoableChangeListener(VetoableChangeListener listener) { this$vetoableChangeSupport.addVetoableChangeListener(listener) } public void addVetoableChangeListener(String name, VetoableChangeListener listener) { this$vetoableChangeSupport.addVetoableChangeListener(name, listener) } public void removeVetoableChangeListener(VetoableChangeListener listener) { this$vetoableChangeSupport.removeVetoableChangeListener(listener) } public void removeVetoableChangeListener(String name, VetoableChangeListener listener) { this$vetoableChangeSupport.removeVetoableChangeListener(name, listener) } public void fireVetoableChange(String name, Object oldValue, Object newValue) throws PropertyVetoException { this$vetoableChangeSupport.fireVetoableChange(name, oldValue, newValue) } public VetoableChangeListener[] getVetoableChangeListeners() { return this$vetoableChangeSupport.getVetoableChangeListeners() } public VetoableChangeListener[] getVetoableChangeListeners(String name) { return this$vetoableChangeSupport.getVetoableChangeListeners(name) } public void setName(String value) throws PropertyVetoException { this.fireVetoableChange('name', name, value) name = value } public void setAge(int value) throws PropertyVetoException { this.fireVetoableChange('age', age, value) age = value }}
If the annotation is put on a single property, only that property is made vetoable:
import groovy.beans.Vetoableclass Person { String name @Vetoable int age}
@groovy.test.NotYetImplemented
@NotYetImplemented
is used to invert the result of a JUnit 3/4 test case. It is in particular useful if a feature is not yet implemented but the test is. In that case, it is expectedthat the test fails. Marking it with@NotYetImplemented
will inverse the result of the test, like in this example:
import groovy.test.GroovyTestCaseimport groovy.test.NotYetImplementedclass Maths { static int fib(int n) { // todo: implement later }}class MathsTest extends GroovyTestCase { @NotYetImplemented void testFib() { def dataTable = [ 1:1, 2:1, 3:2, 4:3, 5:5, 6:8, 7:13 ] dataTable.each { i, r -> assert Maths.fib(i) == r } }}
Another advantage of using this technique is that you can write test cases for bugs before knowing how to fix them. If some time in the future, a modification in the code fixes a bug by side effect,you’ll be notified because a test which was expected to fail passed.
@groovy.transform.ASTTest
@ASTTest
is a special AST transformation meant to help debugging other AST transformations or the Groovy compiler itself. It will let the developer "explore" the AST during compilation andperform assertions on the AST rather than on the result of compilation. This means that this AST transformations gives access to the AST before the bytecode is produced.@ASTTest
can beplaced on any annotable node and requires two parameters:
phase: sets at which phase at which@ASTTest
will be triggered. The test code will work on the AST tree at the end of this phase.
value: the code which will be executed once the phase is reached, on the annotated node
Compile phase has to be chosen from one oforg.codehaus.groovy.control.CompilePhase . However, since it is not possible to annotate a node twice with the same annotation, you willnot be able to use@ASTTest on the same node at two distinct compile phases. |
value
is a closure expression which has access to a special variablenode
corresponding to the annotated node, and a helperlookup
method which will be discussedhere.For example, you can annotate a class node like this:
import groovy.transform.ASTTestimport org.codehaus.groovy.ast.ClassNode@ASTTest(phase=CONVERSION, value={(1) assert node instanceof ClassNode(2) assert node.name == 'Person'(3)})class Person {}
1 | we’re checking the state of the Abstract Syntax Tree after the CONVERSION phase |
2 | node refers to the AST node which is annotated by @ASTTest |
3 | it can be used to perform assertions at compile time |
One interesting feature of@ASTTest
is that if an assertion fails, thencompilation will fail. Now imagine that we want to check the behavior of an AST transformation at compile time.We will take@PackageScope
here, and we will want to verify that a property annotated with@PackageScope
becomes a package private field. For this, we have to know at which phase thetransform runs, which can be found inorg.codehaus.groovy.transform.PackageScopeASTTransformation : semantic analysis. Then a test can be written like this:
import groovy.transform.ASTTestimport groovy.transform.PackageScope@ASTTest(phase=SEMANTIC_ANALYSIS, value={ def nameNode = node.properties.find { it.name == 'name' } def ageNode = node.properties.find { it.name == 'age' } assert nameNode assert ageNode == null // shouldn't be a property anymore def ageField = node.getDeclaredField 'age' assert ageField.modifiers == 0})class Person { String name @PackageScope int age}
The@ASTTest
annotation can only be placed wherever the grammar allows it. Sometimes, you would like to test the contents of an AST node which is not annotable. In this case,@ASTTest
provides a convenientlookup
method which will search the AST for nodes which are labelled with a special token:
def list = lookup('anchor')(1)Statement stmt = list[0](2)
1 | returns the list of AST nodes which label is 'anchor' |
2 | it is always necessary to choose which element to process since lookup always returns a list |
Imagine, for example, that you want to test the declared type of a for loop variable. Then you can do it like this:
import groovy.transform.ASTTestimport groovy.transform.PackageScopeimport org.codehaus.groovy.ast.ClassHelperimport org.codehaus.groovy.ast.expr.DeclarationExpressionimport org.codehaus.groovy.ast.stmt.ForStatementclass Something { @ASTTest(phase=SEMANTIC_ANALYSIS, value={ def forLoop = lookup('anchor')[0] assert forLoop instanceof ForStatement def decl = forLoop.collectionExpression.expressions[0] assert decl instanceof DeclarationExpression assert decl.variableExpression.name == 'i' assert decl.variableExpression.originType == ClassHelper.int_TYPE }) void someMethod() { int x = 1; int y = 10; anchor: for (int i=0; i<x+y; i++) { println "$i" } }}
@ASTTest
also exposes those variables inside the test closure:
node
corresponds to the annotated node, as usual
compilationUnit
gives access to the currentorg.codehaus.groovy.control.CompilationUnit
compilePhase
returns the current compile phase (org.codehaus.groovy.control.CompilePhase
)
The latter is interesting if you don’t specify thephase
attribute. In that case, the closure will be executed aftereach compile phase after (and including)SEMANTIC_ANALYSIS
. The context of the transformation is kept after each phase,giving you a chance to check what changed between two phases.
As an example, here is how you could dump the list of AST transformations registered on a class node:
import groovy.transform.ASTTestimport groovy.transform.CompileStaticimport groovy.transform.Immutableimport org.codehaus.groovy.ast.ClassNodeimport org.codehaus.groovy.control.CompilePhase@ASTTest(value={ System.err.println "Compile phase: $compilePhase" ClassNode cn = node System.err.println "Global AST xforms: ${compilationUnit?.ASTTransformationsContext?.globalTransformNames}" CompilePhase.values().each { def transforms = cn.getTransforms(it) if (transforms) { System.err.println "Ast xforms for phase $it:" transforms.each { map -> System.err.println(map) } } }})@CompileStatic@Immutableclass Foo {}
And here is how you can memorize variables for testing between two phases:
import groovy.transform.ASTTestimport groovy.transform.ToStringimport org.codehaus.groovy.ast.ClassNodeimport org.codehaus.groovy.control.CompilePhase@ASTTest(value={ if (compilePhase == CompilePhase.INSTRUCTION_SELECTION) {(1) println "toString() was added at phase: ${added}" assert added == CompilePhase.CANONICALIZATION(2) } else { if (node.getDeclaredMethods('toString') && added == null) {(3) added = compilePhase(4) } }})@ToStringclass Foo { String name}
1 | if the current compile phase is instruction selection |
2 | then we want to make suretoString was added atCANONICALIZATION |
3 | otherwise, iftoString exists and that the variable from the context,added is null |
4 | then it means that this compile phase is the one wheretoString was added |
@groovy.lang.Grapes
Grape
is a dependency management engine embedded into Groovy, relying on several annotations which are describedthoroughly in thissection of the guide.
There are two kinds of transformations: global and local transformations.
Global transformations are applied to by the compiler on the code being compiled,wherever the transformation apply. Compiled classes that implement global transformationsare in a JAR added to the classpath of the compiler and contain service locator fileMETA-INF/services/org.codehaus.groovy.transform.ASTTransformation
with a line with the name of thetransformation class. The transformation class must have a no-args constructor and implement theorg.codehaus.groovy.transform.ASTTransformation
interface.It will be run againstevery source in the compilation, so be sure to not create transformations whichscan all the AST in an expansive and time-consuming manner, to keep the compiler fast.
Local transformations are transformations applied locally by annotating code elements you want totransform. For this, we reuse the annotation notation, and those annotations should implementorg.codehaus.groovy.transform.ASTTransformation
. The compiler will discover them and apply thetransformation on these code elements.
Groovy AST transformations must be performed in one of the nine definedcompilation phases (org.codehaus.groovy.control.CompilePhase).
Global transformations may be applied in any phase, but localtransformations may only be applied in the semantic analysis phase orlater. Briefly, the compiler phases are:
Initialization: source files are opened and environment configured
Parsing: the grammar is used to produce tree of tokens representingthe source code
Conversion: An abstract syntax tree (AST) is created from token trees.
Semantic Analysis: Performs consistency and validity checks that thegrammar can’t check for, and resolves classes.
Canonicalization: Complete building the AST
Instruction Selection: instruction set is chosen, for example Java 6 or Java 7 bytecode level
Class Generation: creates the bytecode of the class in memory
Output: write the binary output to the file system
Finalization: Perform any last cleanup
Generally speaking, there is more type information available later inthe phases. If your transformation is concerned with reading the AST,then a later phase where information is more plentiful might be a goodchoice. If your transformation is concerned with writing AST, then anearlier phase where the tree is more sparse might be more convenient.
Local AST transformations are relative to the context they are applied to. Inmost cases, the context is defined by an annotation that will define the scopeof the transform. For example, annotating a field would mean that the transformationapplies to the field, while annotating the class would mean that the transformationapplies to the whole class.
As a naive and simple example, consider wanting to write a@WithLogging
transformation that would add console messages at the start and end of amethod invocation. So the following "Hello World" example wouldactually print "Hello World" along with a start and stop message:
@WithLoggingdef greet() { println "Hello World"}greet()
A local AST transformation is an easy way to do this. It requires two things:
a definition of the@WithLogging
annotation
an implementation oforg.codehaus.groovy.transform.ASTTransformation that adds the loggingexpressions to the method
AnASTTransformation
is a callback that gives you access to theorg.codehaus.groovy.control.SourceUnit,through which you can get a reference to theorg.codehaus.groovy.ast.ModuleNode (AST).
The AST (Abstract Syntax Tree) is a tree structure consisting mostly oforg.codehaus.groovy.ast.expr.Expression (expressions) ororg.codehaus.groovy.ast.expr.Statement (statements). An easy way tolearn about the AST is to explore it in a debugger. Once you have the AST,you can analyze it to find out information about the code or rewrite it to addnew functionality.
The local transformation annotation is the simple part. Here is the@WithLogging
one:
import org.codehaus.groovy.transform.GroovyASTTransformationClassimport java.lang.annotation.ElementTypeimport java.lang.annotation.Retentionimport java.lang.annotation.RetentionPolicyimport java.lang.annotation.Target@Retention(RetentionPolicy.SOURCE)@Target([ElementType.METHOD])@GroovyASTTransformationClass(["gep.WithLoggingASTTransformation"])public @interface WithLogging {}
The annotation retention can beSOURCE
because you won’t need the annotationpast that. The element type here isMETHOD
, the@WithLogging
because the annotationapplies to methods.
But the most important part is the@GroovyASTTransformationClass
annotation. This links the@WithLogging
annotation to theASTTransformation
class you will write.gep.WithLoggingASTTransformation
is the fully qualified class name of theASTTransformation
we are going to write. This line wires the annotation to the transformation.
With this in place, the Groovy compiler is going to invokegep.WithLoggingASTTransformation
every time an@WithLogging
is found in asource unit. Any breakpoint set withinLoggingASTTransformation
will nowbe hit within the IDE when running the sample script.
TheASTTransformation
class is a little more complex. Here is thevery simple, and very naive, transformation to add a method start andstop message for@WithLogging
:
@CompileStatic(1)@GroovyASTTransformation(phase=CompilePhase.SEMANTIC_ANALYSIS)(2)class WithLoggingASTTransformation implements ASTTransformation {(3) @Override void visit(ASTNode[] nodes, SourceUnit sourceUnit) {(4) MethodNode method = (MethodNode) nodes[1](5) def startMessage = createPrintlnAst("Starting $method.name")(6) def endMessage = createPrintlnAst("Ending $method.name")(7) def existingStatements = ((BlockStatement)method.code).statements(8) existingStatements.add(0, startMessage)(9) existingStatements.add(endMessage)(10) } private static Statement createPrintlnAst(String message) {(11) new ExpressionStatement( new MethodCallExpression( new VariableExpression("this"), new ConstantExpression("println"), new ArgumentListExpression( new ConstantExpression(message) ) ) ) }}
1 | even if not mandatory, if you write an AST transformation in Groovy, it is highly recommended to useCompileStatic because it will improve performance of the compiler. |
2 | annotate withorg.codehaus.groovy.transform.GroovyASTTransformation to tell at which compilation phase thetransform needs to run. Here, it’s at thesemantic analysis phase. |
3 | implement theASTTransformation interface |
4 | which only has a singlevisit method |
5 | thenodes parameter is a 2 AST node array, for which the first one is the annotation node (@WithLogging ) andthe second one is the annotated node (the method node) |
6 | create a statement that will print a message when we enter the method |
7 | create a statement that will print a message when we exit the method |
8 | get the method body, which in this case is aBlockStatement |
9 | add the enter method message before the first statement of existing code |
10 | append the exit method message after the last statement of existing code |
11 | creates anExpressionStatement wrapping aMethodCallExpression corresponding tothis.println("message") |
It is important to notice that for the brevity of this example, we didn’t make the necessary checks, such as checkingthat the annotated node is really aMethodNode
, or that the method body is an instance ofBlockStatement
. Thisexercise is left to the reader.
Note the creation of the new println statements in thecreatePrintlnAst(String)
method. Creating AST for code is not alwayssimple. In this case we need to construct a new method call, passing inthe receiver/variable, the name of the method, and an argument list.When creating AST, it might be helpful to write the code you’re tryingto create in a Groovy file and then inspect the AST of that code in thedebugger to learn what to create. Then write a function likecreatePrintlnAst
using what you learned through the debugger.
In the end:
@WithLoggingdef greet() { println "Hello World"}greet()
Produces:
Starting greetHello WorldEnding greet
It is important to note that an AST transformation participates directly in the compilation process. A commonerror by beginners is to have the AST transformation code in the same source tree as a class that uses the transformation.Being in the same source tree in general means that they are compiled at the same time. Since the transformation itselfis going to be compiled in phases and that each compile phase processes all files of the same source unit before goingto the next one, there’s a direct consequence: the transformation will not be compiled before the class that uses it! Inconclusion, AST transformations need to be precompiled before you can use them. In general, it is as easy as having themin a separate source tree. |
Global AST transformation are similar to local one with a major difference: they do not need an annotation, meaning thatthey are appliedglobally, that is to say on each class being compiled. It is therefore very important to limit theiruse to last resort, because it can have a significant impact on the compiler performance.
Following the example of thelocal AST transformation, imagine that we would like to trace allmethods, and not only those which are annotated with@WithLogging
. Basically, we need this code to behave the sameas the one annotated with@WithLogging
before:
def greet() { println "Hello World"}greet()
To make this work, there are two steps:
create theorg.codehaus.groovy.transform.ASTTransformation
descriptor inside theMETA-INF/services
directory
create theASTTransformation
implementation
The descriptor file is required and must be found on classpath. It will contain a single line:
gep.WithLoggingASTTransformation
The code for the transformation looks similar to the local case, but instead of using theASTNode[]
parameter, we needto use theSourceUnit
instead:
@CompileStatic(1)@GroovyASTTransformation(phase=CompilePhase.SEMANTIC_ANALYSIS)(2)class WithLoggingASTTransformation implements ASTTransformation {(3) @Override void visit(ASTNode[] nodes, SourceUnit sourceUnit) {(4) def methods = sourceUnit.AST.methods(5) methods.each { method ->(6) def startMessage = createPrintlnAst("Starting $method.name")(7) def endMessage = createPrintlnAst("Ending $method.name")(8) def existingStatements = ((BlockStatement)method.code).statements(9) existingStatements.add(0, startMessage)(10) existingStatements.add(endMessage)(11) } } private static Statement createPrintlnAst(String message) {(12) new ExpressionStatement( new MethodCallExpression( new VariableExpression("this"), new ConstantExpression("println"), new ArgumentListExpression( new ConstantExpression(message) ) ) ) }}
1 | even if not mandatory, if you write an AST transformation in Groovy, it is highly recommended to useCompileStatic because it will improve performance of the compiler. |
2 | annotate withorg.codehaus.groovy.transform.GroovyASTTransformation to tell at which compilation phase thetransform needs to run. Here, it’s at thesemantic analysis phase. |
3 | implement theASTTransformation interface |
4 | which only has a singlevisit method |
5 | thesourceUnit parameter gives access to the source being compiled, so we get the AST of the current sourceand retrieve the list of methods from this file |
6 | we iterate on each method from the source file |
7 | create a statement that will print a message when we enter the method |
8 | create a statement that will print a message when we exit the method |
9 | get the method body, which in this case is aBlockStatement |
10 | add the enter method message before the first statement of existing code |
11 | append the exit method message after the last statement of existing code |
12 | creates anExpressionStatement wrapping aMethodCallExpression corresponding tothis.println("message") |
While you have seen that you can directly implement theASTTransformation
interface, in almost all cases you will notdo this but extend theorg.codehaus.groovy.transform.AbstractASTTransformation class. This class provides severalutility methods that make AST transformations easier to write. Almost all AST transformations included in Groovyextend this class.
It is a common use case to be able to transform an expression into another. Groovy provides a class which makes itvery easy to do this:org.codehaus.groovy.ast.ClassCodeExpressionTransformer
To illustrate this, let’s create a@Shout
transformation that will transform allString
constants in method callarguments into their uppercase version. For example:
@Shoutdef greet() { println "Hello World"}greet()
should print:
HELLO WORLD
Then the code for the transformation can use theClassCodeExpressionTransformer
to make this easier:
@CompileStatic@GroovyASTTransformation(phase=CompilePhase.SEMANTIC_ANALYSIS)class ShoutASTTransformation implements ASTTransformation { @Override void visit(ASTNode[] nodes, SourceUnit sourceUnit) { ClassCodeExpressionTransformer trn = new ClassCodeExpressionTransformer() {(1) private boolean inArgList = false @Override protected SourceUnit getSourceUnit() { sourceUnit(2) } @Override Expression transform(final Expression exp) { if (exp instanceof ArgumentListExpression) { inArgList = true } else if (inArgList && exp instanceof ConstantExpression && exp.value instanceof String) { return new ConstantExpression(exp.value.toUpperCase())(3) } def trn = super.transform(exp) inArgList = false trn } } trn.visitMethod((MethodNode)nodes[1])(4) }}
1 | Internally the transformation creates aClassCodeExpressionTransformer |
2 | The transformer needs to return the source unit |
3 | if a constant expression of type string is detected inside an argument list, transform it into its upper case version |
4 | call the transformer on the method being annotated |
Writing an AST transformation requires a deep knowledge of the internal Groovy API. In particular it requiresknowledge about the AST classes. Since those classes are internal, there are chances that the API will change in thefuture, meaning that your transformationscould break. Despite that warning, the AST has been very stable over timeand such a thing rarely happens. |
Classes of the Abstract Syntax Tree belong to theorg.codehaus.groovy.ast
package. It is recommended to the readerto use the Groovy Console, in particular the AST browser tool, to gain knowledge about those classes.Another resource for learning is theAST Buildertest suite.
Until version 2.5.0, when developing AST transformations, developers should have a deep knowledge about how the AST(Abstract Syntax Tree) was built by the compiler in order to know how to add new expressions or statements duringcompile time.
Although the use oforg.codehaus.groovy.ast.tool.GeneralUtils
static methods could mitigate the burden of creatingexpressions and statements, it’s still a low-level way of writing those AST nodes directly.We needed something to abstract us from writing the AST directly and that’s exactly what Groovy macros were made for.They allow you to directly add code during compilation, without having to translate the code you had in mind to theorg.codehaus.groovy.ast.*
node related classes.
Let’s see an example, lets create a local AST transformation:@AddMessageMethod
. When applied to a given class itwill add a new method calledgetMessage
to that class. The method will return "42". The annotation is prettystraight forward:
@Retention(RetentionPolicy.SOURCE)@Target([ElementType.TYPE])@GroovyASTTransformationClass(["metaprogramming.AddMethodASTTransformation"])@interface AddMethod { }
What would the AST transformation look like without the use of a macro ? Something like this:
@GroovyASTTransformation(phase = CompilePhase.INSTRUCTION_SELECTION)class AddMethodASTTransformation extends AbstractASTTransformation { @Override void visit(ASTNode[] nodes, SourceUnit source) { ClassNode classNode = (ClassNode) nodes[1] ReturnStatement code = new ReturnStatement((1) new ConstantExpression("42"))(2) MethodNode methodNode = new MethodNode( "getMessage", ACC_PUBLIC, ClassHelper.make(String), [] as Parameter[], [] as ClassNode[], code)(3) classNode.addMethod(methodNode)(4) }}
1 | Create a return statement |
2 | Create a constant expression "42" |
3 | Adding the code to the new method |
4 | Adding the new method to the annotated class |
If you’re not used to the AST API, that definitely doesn’t look like the code you had in mind. Now look how theprevious code simplifies with the use of macros.
@GroovyASTTransformation(phase = CompilePhase.INSTRUCTION_SELECTION)class AddMethodWithMacrosASTTransformation extends AbstractASTTransformation { @Override void visit(ASTNode[] nodes, SourceUnit source) { ClassNode classNode = (ClassNode) nodes[1] ReturnStatement simplestCode = macro { return "42" }(1) MethodNode methodNode = new MethodNode( "getMessage", ACC_PUBLIC, ClassHelper.make(String), [] as Parameter[], [] as ClassNode[], simplestCode)(2) classNode.addMethod(methodNode)(3) }}
1 | Much simpler. You wanted to add a return statement that returned "42" and that’s exactly what you can read insidethemacro utility method. Your plain code will be translated for you to aorg.codehaus.groovy.ast.stmt.ReturnStatement |
2 | Adding the return statement to the new method |
3 | Adding the new code to the annotated class |
Although themacro
method is used in this example to create astatement themacro
method could also be used to createexpressions as well, it depends on whichmacro
signature you use:
macro(Closure)
: Create a given statement with the code inside the closure.
macro(Boolean,Closure)
: iftrue wrap expressions inside the closure inside a statement, iffalse then returnan expression
macro(CompilePhase, Closure)
: Create a given statement with the code inside the closure in a specific compile phase
macro(CompilePhase, Boolean, Closure)
: Create a statement or an expression (true == statement, false == expression)in a specific compilation phase.
All these signatures can be found atorg.codehaus.groovy.macro.runtime.MacroGroovyMethods |
Sometimes we could be only interested in creating a given expression, not the whole statement, in order to do that weshould use any of themacro
invocations with a boolean parameter:
@GroovyASTTransformation(phase = CompilePhase.INSTRUCTION_SELECTION)class AddGetTwoASTTransformation extends AbstractASTTransformation { BinaryExpression onePlusOne() { return macro(false) { 1 + 1 }(1) } @Override void visit(ASTNode[] nodes, SourceUnit source) { ClassNode classNode = nodes[1] BinaryExpression expression = onePlusOne()(2) ReturnStatement returnStatement = GeneralUtils.returnS(expression)(3) MethodNode methodNode = new MethodNode("getTwo", ACC_PUBLIC, ClassHelper.Integer_TYPE, [] as Parameter[], [] as ClassNode[], returnStatement(4) ) classNode.addMethod(methodNode)(5) }}
1 | We’re telling macro not to wrap the expression in a statement, we’re only interested in the expression |
2 | Assigning the expression |
3 | Creating aReturnStatement using a method fromGeneralUtils and returning the expression |
4 | Adding the code to the new method |
5 | Adding the method to the class |
Macros are great but we can’t create anything useful or reusable if our macros couldn’t receive parameters or resolvesurrounding variables.
In the following example we’re creating an AST transformation@MD5
that when applied to a given String field willadd a method returning the MD5 value of that field.
@Retention(RetentionPolicy.SOURCE)@Target([ElementType.FIELD])@GroovyASTTransformationClass(["metaprogramming.MD5ASTTransformation"])@interface MD5 { }
And the transformation:
@GroovyASTTransformation(phase = CompilePhase.CANONICALIZATION)class MD5ASTTransformation extends AbstractASTTransformation { @Override void visit(ASTNode[] nodes, SourceUnit source) { FieldNode fieldNode = nodes[1] ClassNode classNode = fieldNode.declaringClass String capitalizedName = fieldNode.name.capitalize() MethodNode methodNode = new MethodNode( "get${capitalizedName}MD5", ACC_PUBLIC, ClassHelper.STRING_TYPE, [] as Parameter[], [] as ClassNode[], buildMD5MethodCode(fieldNode)) classNode.addMethod(methodNode) } BlockStatement buildMD5MethodCode(FieldNode fieldNode) { VariableExpression fieldVar = GeneralUtils.varX(fieldNode.name)(1) return macro(CompilePhase.SEMANTIC_ANALYSIS, true) {(2) return java.security.MessageDigest .getInstance('MD5') .digest($v { fieldVar }.getBytes())(3) .encodeHex() .toString() } }}
1 | We need a reference to a variable expression |
2 | If using a class outside the standard packages we should add any needed imports or use the qualified name. Whenusing the qualified name of a given static method you need to make sure it’s resolved in the proper compile phase. Inthis particular case we’re instructing the macro to resolve it at the SEMANTIC_ANALYSIS phase, which is the first compile phasewith type information. |
3 | In order to substitute anyexpression inside the macro we need to use the$v method.$v receives a closure as anargument, and the closure is only allowed to substitute expressions, meaning classes inheritingorg.codehaus.groovy.ast.expr.Expression . |
As we mentioned earlier, themacro
method is only capable of producingstatements
andexpressions
. But what if wewant to produce other types of nodes, such as a method, a field and so on?
org.codehaus.groovy.macro.transform.MacroClass
can be used to createclasses (ClassNode instances) in ourtransformations the same way we created statements and expressions with themacro
method before.
The next example is a local transformation@Statistics
. When applied to a given class, it will add two methodsgetMethodCount() andgetFieldCount() which return how many methods and fields within the class respectively. Hereis the marker annotation.
@Retention(RetentionPolicy.SOURCE)@Target([ElementType.TYPE])@GroovyASTTransformationClass(["metaprogramming.StatisticsASTTransformation"])@interface Statistics {}
And the AST transformation:
@CompileStatic@GroovyASTTransformation(phase = CompilePhase.INSTRUCTION_SELECTION)class StatisticsASTTransformation extends AbstractASTTransformation { @Override void visit(ASTNode[] nodes, SourceUnit source) { ClassNode classNode = (ClassNode) nodes[1] ClassNode templateClass = buildTemplateClass(classNode)(1) templateClass.methods.each { MethodNode node ->(2) classNode.addMethod(node) } } @CompileDynamic ClassNode buildTemplateClass(ClassNode reference) {(3) def methodCount = constX(reference.methods.size())(4) def fieldCount = constX(reference.fields.size())(5) return new MacroClass() { class Statistics { java.lang.Integer getMethodCount() {(6) return $v { methodCount } } java.lang.Integer getFieldCount() {(7) return $v { fieldCount } } } } }}
1 | Creating a template class |
2 | Adding template class methods to the annotated class |
3 | Passing the reference class |
4 | Extracting reference class method count value expression |
5 | Extracting reference class field count value expression |
6 | Building thegetMethodCount() method using reference’s method count value expression |
7 | Building thegetFieldCount() method using reference’s field count value expression |
Basically we’ve created theStatistics class as a template to avoid writing low level AST API, then wecopied methods created in the template class to their final destination.
Types inside theMacroClass implementation should be resolved inside, that’s why we had to writejava.lang.Integer instead of simply writingInteger . |
Notice that we’re using@CompileDynamic . That’s because the way we useMacroClass is like wewere actually implementing it. So if you were using@CompileStatic it will complain because an implementation ofan abstract class can’t be another different class. |
You have seen that by usingmacro
you can save yourself a lot of work but you might wonder wherethat method came from. You didn’t declare it or static import it. You can think of it as a specialglobal method (or if you prefer, a method on everyObject
). This is much like how theprintln
extension method is defined. But unlikeprintln
which becomes a method selected for executionlater in the compilation process,macro
expansion is done early in the compilation process.The declaration ofmacro
as one of the available methods for this early expansion is doneby annotating amacro
method definition with the@Macro
annotation and making that methodavailable using a similar mechanism for extension modules. Such methods are known asmacro methodsand the good news is you can define your own.
To define your own macro method, create a class in a similar way to an extension module andadd a method such as:
public class ExampleMacroMethods { @Macro public static Expression safe(MacroContext macroContext, MethodCallExpression callExpression) { return ternaryX( notNullX(callExpression.getObjectExpression()), callExpression, constX(null) ); } ...}
Now you would register this as an extension module using aorg.codehaus.groovy.runtime.ExtensionModule
file within theMETA-INF/groovy
directory.
Now, assuming that the class and meta info file are on your classpath, you can use themacro method in the following way:
def nullObject = nullassert null == safe(safe(nullObject.hashcode()).toString())
This section is about good practices in regard to testing AST transformations. Previous sections highlighted the factthat to be able to execute an AST transformation, it has to be precompiled. It might sound obvious but a lot of peopleget caught on this, trying to use an AST transformation in the same source tree as where it is defined.
The first tip for testing AST transformation is therefore to separate test sources from the sources of the transform.Again, this is nothing but best practices, but you must make sure that your build too does actually compile them separately.This is the case by default with bothApache Maven andGradle.
It is very handy to be able to put a breakpoint in an AST transformation, so that you can debug your code in the IDE.However, you might be surprised to see that your IDE doesn’t stop on the breakpoint. The reason is actually simple: ifyour IDE uses the Groovy compiler to compile the unit tests for your AST transformation, then the compilation is triggeredfrom the IDE, but the process which will compile the files doesn’t have debugging options. It’s only when the test caseis executed that the debugging options are set on the virtual machine. In short: it is too late, the class has been compiledalready, and your transformation is already applied.
A very easy workaround is to use theGroovyTestCase
class which provides anassertScript
method. This means thatinstead of writing this in a test case:
static class Subject { @MyTransformToDebug void methodToBeTested() {}}void testMyTransform() { def c = new Subject() c.methodToBeTested()}
You should write:
void testMyTransformWithBreakpoint() { assertScript ''' import metaprogramming.MyTransformToDebug class Subject { @MyTransformToDebug void methodToBeTested() {} } def c = new Subject() c.methodToBeTested() '''}
The difference is that when you useassertScript
, the code in theassertScript
block is compiledwhen theunit test is executed. That is to say that this time, theSubject
class will be compiled with debugging active, andthe breakpoint is going to be hit.
Sometimes you may want to make assertions over AST nodes; perhaps to filter the nodes, or to make sure a giventransformation has built the expected AST node.
Filtering nodes
For instance if you would like to apply a given transformation only to a specific set of AST nodes, you coulduseASTMatcher to filter these nodes. The following example shows how to transform a given expression toanother. UsingASTMatcher it looks for a specific expression1 + 1
and it transforms it to3
. That’s whywe called it the@Joking
example.
First we create the@Joking
annotation that only can be applied to methods:
@Retention(RetentionPolicy.SOURCE)@Target([ElementType.METHOD])@GroovyASTTransformationClass(["metaprogramming.JokingASTTransformation"])@interface Joking { }
Then the transformation, that only applies an instance oforg.codehaus.groovy.ast.ClassCodeExpressionTransformer
to all the expressions within the method code block.
@CompileStatic@GroovyASTTransformation(phase = CompilePhase.INSTRUCTION_SELECTION)class JokingASTTransformation extends AbstractASTTransformation { @Override void visit(ASTNode[] nodes, SourceUnit source) { MethodNode methodNode = (MethodNode) nodes[1] methodNode .getCode() .visit(new ConvertOnePlusOneToThree(source))(1) }}
1 | Get the method’s code statement and apply the expression transformer |
And this is when theASTMatcher is used to apply the transformation only to those expressions matchingthe expression1 + 1
.
class ConvertOnePlusOneToThree extends ClassCodeExpressionTransformer { SourceUnit sourceUnit ConvertOnePlusOneToThree(SourceUnit sourceUnit) { this.sourceUnit = sourceUnit } @Override Expression transform(Expression exp) { Expression ref = macro { 1 + 1 }(1) if (ASTMatcher.matches(ref, exp)) {(2) return macro { 3 }(3) } return super.transform(exp) }}
1 | Builds the expression used as reference pattern |
2 | Checks the current expression evaluated matches the reference expression |
3 | If it matches then replaces the current expression with the expression built withmacro |
Then you could test the implementation as follows:
package metaprogrammingclass Something { @Joking Integer getResult() { return 1 + 1 }}assert new Something().result == 3
Unit testing AST transforms
Normally we test AST transformations just checking that the final use of the transformation does what we expect. Butit would be great if we could have an easy way to check, for example, that the nodes the transformation adds are whatwe expected from the beginning.
The following transformation adds a new methodgiveMeTwo
to an annotated class.
@GroovyASTTransformation(phase = CompilePhase.INSTRUCTION_SELECTION)class TwiceASTTransformation extends AbstractASTTransformation { static final String VAR_X = 'x' @Override void visit(ASTNode[] nodes, SourceUnit source) { ClassNode classNode = (ClassNode) nodes[1] MethodNode giveMeTwo = getTemplateClass(sumExpression) .getDeclaredMethods('giveMeTwo') .first() classNode.addMethod(giveMeTwo)(1) } BinaryExpression getSumExpression() {(2) return macro { $v{ varX(VAR_X) } + $v{ varX(VAR_X) } } } ClassNode getTemplateClass(Expression expression) {(3) return new MacroClass() { class Template { java.lang.Integer giveMeTwo(java.lang.Integer x) { return $v { expression } } } } }}
1 | Adding the method to the annotated class |
2 | Building a binary expression. The binary expression uses the same variable expression in bothsides of the+ token (checkvarX method atorg.codehaus.groovy.ast.tool.GeneralUtils). |
3 | Builds a newClassNode with a method calledgiveMeTwo which returns the result of an expressionpassed as parameter. |
Now instead of creating a test executing the transformation over a given sample code. I would like to check thatthe construction of the binary expression is done properly:
void testTestingSumExpression() { use(ASTMatcher) {(1) TwiceASTTransformation sample = new TwiceASTTransformation() Expression referenceNode = macro { a + a(2) }.withConstraints {(3) placeholder 'a'(4) } assert sample .sumExpression .matches(referenceNode)(5) }}
1 | Using ASTMatcher as a category |
2 | Build a template node |
3 | Apply some constraints to that template node |
4 | Tells compiler thata is a placeholder. |
5 | Asserts reference node and current node are equal |
Of course you can/should always check the actual execution:
void testASTBehavior() { assertScript ''' package metaprogramming @Twice class AAA { } assert new AAA().giveMeTwo(1) == 2 '''}
Last but not least, testing an AST transformation is also about testing the state of the ASTduring compilation. Groovyprovides a tool named@ASTTest
for this: it is an annotation that will let you add assertions on an abstract syntaxtree. Please check thedocumentation for ASTTest for more details.
If you are interested in a step-by-step tutorial about writing AST transformations, you can followthis workshop.
Grape is a JAR dependency manager embedded into Groovy. Grape lets you quickly add maven repository dependencies to yourclasspath, making scripting even easier. The simplest use is as simple as adding an annotation to your script:
@Grab(group='org.springframework', module='spring-orm', version='5.2.8.RELEASE')import org.springframework.jdbc.core.JdbcTemplate
@Grab
also supports a shorthand notation:
@Grab('org.springframework:spring-orm:5.2.8.RELEASE')import org.springframework.jdbc.core.JdbcTemplate
Note that we are using an annotated import here, which is the recommended way. You can also search fordependencies onmvnrepository.com and it willprovide you the@Grab
annotation form of thepom.xml
entry.
Not all dependencies are in maven central. You can add new ones likethis:
@GrabResolver(name='restlet', root='http://maven.restlet.org/')@Grab(group='org.restlet', module='org.restlet', version='1.1.6')
Some maven dependencies need classifiers in order to be able to resolve.You can fix that like this:
@Grab(group='net.sf.json-lib', module='json-lib', version='2.2.3', classifier='jdk15')
Sometimes you will want to exclude transitive dependencies as you mightbe already using a slightly different but compatible version of someartifact. You can do this as follows:
@Grab('net.sourceforge.htmlunit:htmlunit:2.8')@GrabExclude('xml-apis:xml-apis')
Because of the way JDBC drivers are loaded, you’ll need to configureGrape to attach JDBC driver dependencies to the system class loader.I.e:
@GrabConfig(systemClassLoader=true)@Grab(group='mysql', module='mysql-connector-java', version='5.1.6')
From groovysh use the method call variant:
groovy.grape.Grape.grab(group:'org.springframework', module:'spring', version:'2.5.6')
If you are behind a firewall and/or need to use Groovy/Grape through aproxy server, you can specify those settings on the command like via thehttp.proxyHost
andhttp.proxyPort
system properties:
groovy -Dhttp.proxyHost=yourproxy -Dhttp.proxyPort=8080 yourscript.groovy
Or you can make this system-wide by adding these properties to yourJAVA_OPTS environment variable:
JAVA_OPTS = -Dhttp.proxyHost=yourproxy -Dhttp.proxyPort=8080
If you want to see what Grape is doing set the system propertygroovy.grape.report.downloads
totrue
(e.g. add-Dgroovy.grape.report.downloads=true
to invocation or JAVA_OPTS) and Grape willprint the following infos to System.error:
Starting resolve of a dependency
Starting download of an artifact
Retrying download of an artifact
Download size and time for downloaded artifacts
To log with even more verbosity, increase the Ivy log level(defaults to-1
). For example-Divy.message.logger.level=4
.
Grape (TheGroovy Adaptable Packaging Engine orGroovy AdvancedPackaging Engine) is the infrastructure enabling the grab() calls inGroovy, a set of classes leveragingIvy to allow for a repository drivenmodule system for Groovy. This allows a developer to write a script withan essentially arbitrary library requirement, and ship just the script.Grape will, at runtime, download as needed and link the named librariesand all dependencies forming a transitive closure when the script is runfrom existing repositories such as Maven Central.
Grape follows the Ivy conventions for module version identification,with naming change.
group
- Which module group the module comes from. Translatesdirectly to a Maven groupId or an Ivy Organization. Any group matching/groovy[x][\..*]^/
is reserved and may have special meaning to thegroovy endorsed modules.
module
- The name of the module to load. Translated directly to aMaven artifactId or an Ivy artifact.
version
- The version of the module to use. Either a literal version`1.1-RC3' or an Ivy Range `[2.2.1,)' meaning 2.2.1 or any greaterversion).
classifier
- The optional classifier to use (for example,jdk15)
The downloaded modules will be stored according to Ivy’s standardmechanism with a cache root of~/.groovy/grapes
One or moregroovy.lang.Grab
annotations can be added at any place thatannotations are accepted to tell the compiler that this code relies onthe specific library. This will have the effect of adding the library tothe classloader of the groovy compiler. This annotation is detected andevaluated before any other resolution of classes in the script, soimported classes can be properly resolved by a@Grab
annotation.
import com.jidesoft.swing.JideSplitButton@Grab(group='com.jidesoft', module='jide-oss', version='[2.2.1,2.3.0)')public class TestClassAnnotation { public static String testMethod () { return JideSplitButton.class.name }}
An appropriategrab(…)
call will be added to the static initializerof the class of the containing class (or script class in the case of anannotated script element).
In early versions of Groovy, if you wanted to use a Grab annotation multiple timeson the same node you had to use the@Grapes
annotation, e.g.:
@Grapes([ @Grab(group='commons-primitives', module='commons-primitives', version='1.0'), @Grab(group='org.ccil.cowan.tagsoup', module='tagsoup', version='0.9.7')])class Example {// ...}
Otherwise you’d encounter the following error:
Cannot specify duplicate annotation on the same member
But in recent versions, @Grapes is purely optional.
Technical notes:
Originally, Groovy stored the Grab annotations for access at runtimeand duplicates aren’t allowed in the bytecode. In current versions, @Grab has onlySOURCE retention, so the multiple occurrences aren’t an issue.
Future versions of Grape may support using the Grapes annotation toprovide a level of structuring, e.g. allowing a GrabExclude or GrabResolverannotation to apply to only a subset of the Grab annotations.
Typically a call to grab will occur early in the script or in classinitialization. This is to ensure that the libraries are made availableto the ClassLoader before the groovy code relies on the code. A coupleof typical calls may appear as follows:
import groovy.grape.Grape// random maven libraryGrape.grab(group:'com.jidesoft', module:'jide-oss', version:'[2.2.0,)')Grape.grab([group:'org.apache.ivy', module:'ivy', version:'2.0.0-beta1', conf:['default', 'optional']], [group:'org.apache.ant', module:'ant', version:'1.7.0'])
Multiple calls to grab in the same context with the same parametersshould be idempotent. However, if the same code is called with adifferentClassLoader
context then resolution may be re-run.
If theargs
map passed into thegrab
call has an attributenoExceptions
that evaluates true no exceptions will be thrown.
grab
requires that aRootLoader
orGroovyClassLoader
be specified orbe in theClassLoader
chain of the calling class. By default failure tohave such aClassLoader
available will result in module resolution andan exception being thrown
The ClassLoader passed in via theclassLoader:
argument and itsparent classloaders.
The ClassLoader of the object passed in as thereferenceObject:
argument, and its parent classloaders.
The ClassLoader of the class issuing the call tograb
group:
- <String> - Which module group the module comes from.Translates directly to a Maven groupId. Any group matching/groovy(|\..|x|x\..)/
is reserved and may have special meaning to thegroovy endorsed modules.
module:
- <String> - The name of the module to load. Translateddirectly to a Maven artifactId.
version:
- <String> and possibly <Range> - The version of the moduleto use. Either a literal version `1.1-RC3' or an Ivy Range `[2.2.1,)'meaning 2.2.1 or any greater version).
classifier:
- <String> - The Maven classifier to resolve by.
conf:
- <String>, defaultdefault' - The configuration or scope ofthe module to download. The default conf is `default:
which maps to themavenruntime
andmaster
scopes.
force:
- <boolean>, defaults true - Used to indicate that thisrevision must be used in case of conflicts, independently of
conflicts manager
changing:
- <boolean>, default false - Whether the artifact canchange without its version designation changing.
transitive:
- <boolean>, default true - Whether to resolve otherdependencies this module has or not.
There are two principal variants ofgrab
, one with a single Map andone with an arguments Map and multiple dependencies map. A call to thesingle map grab is the same as calling grab with the same map passed intwice, so grab arguments and dependencies can be mixed in the same map,and grab can be called as a single method with named parameters.
There are synonyms for these parameters. Submitting more than one is aruntime exception.
group:
,groupId:
,organisation:
,organization:
,org:
module:
,artifactId:
,artifact:
version:
,revision:
,rev:
conf:
,scope:
,configuration:
classLoader:
- <GroovyClassLoader> or <RootClassLoader> - TheClassLoader to add resolved Jars to
refObject:
- <Object> - The closest parent ClassLoader for theobject’s class will be treated as though it were passed in asclassLoader:
validate:
- <boolean>, default false - Should poms or ivy files bevalidated (true), or should we trust the cache (false).
noExceptions:
- <boolean>, default false - If ClassLoader resolutionor repository querying fails, should we throw an exception (false) orfail silently (true).
Grape added a command line executable `grape' that allows for theinspection and management of the local grape cache.
grape install [-hv] <group> <module> [<version>] [<classifier>]
This installs the specified groovy module or maven artifact. If aversion is specified that specific version will be installed, otherwisethe most recent version will be used (as if `*' we passed in).
grape list
Lists locally installed modules (with their full maven name in the caseof groovy modules) and versions.
grape resolve [-adhisv] (<groupId> <artifactId> <version>)+
This returns the file locations of the jars representing the artifactsfor the specified module(s) and the respective transitive dependencies.You may optionally pass in -ant, -dos, or -shell to get the dependenciesexpressed in a format applicable for an ant script, windows batch file,or unix shell script respectively. -ivy may be passed to see thedependencies expressed in an ivy like format.
grape uninstall [-hv] <group> <module> <version>
This uninstalls a particular grape: it non-transitively removes therespective jar file from the grape cache.
If you need to change the directory grape uses for downloading librariesyou can specify the grape.root system property to change the default(which is ~/.groovy/grapes)
groovy -Dgrape.root=/repo/grapes yourscript.groovy
You can customize the ivy settings that Grape uses by creating a~/.groovy/grapeConfig.xml file. If no such file exists,hereare the default settings used by Grape.
For more information on how to customize these settings, please refer totheIvydocumentation.
Using Apache Commons Collections:
// create and use a primitive array list@Grab(group='commons-primitives', module='commons-primitives', version='1.0')import org.apache.commons.collections.primitives.ArrayIntListdef createEmptyInts() { new ArrayIntList() }def ints = createEmptyInts()ints.add(0, 42)assert ints.size() == 1assert ints.get(0) == 42
Using TagSoup:
// find the PDF links of the Java specifications@Grab(group='org.ccil.cowan.tagsoup', module='tagsoup', version='1.2.1')def getHtml() { def parser = new XmlParser(new org.ccil.cowan.tagsoup.Parser()) parser.parse("https://docs.oracle.com/javase/specs/")}html.body.'**'.a.@href.grep(~/.*\.pdf/).each{ println it }
Using Google Collections:
import com.google.common.collect.HashBiMap@Grab(group='com.google.code.google-collections', module='google-collect', version='snapshot-20080530')def getFruit() { [grape:'purple', lemon:'yellow', orange:'orange'] as HashBiMap }assert fruit.lemon == 'yellow'assert fruit.inverse().yellow == 'lemon'
Launching a Jetty server to serve Groovy templates:
@Grab('org.eclipse.jetty.aggregate:jetty-server:8.1.19.v20160209')@Grab('org.eclipse.jetty.aggregate:jetty-servlet:8.1.19.v20160209')@Grab('javax.servlet:javax.servlet-api:3.0.1')import org.eclipse.jetty.server.Serverimport org.eclipse.jetty.servlet.ServletContextHandlerimport groovy.servlet.TemplateServletdef runServer(duration) { def server = new Server(8080) def context = new ServletContextHandler(server, "/", ServletContextHandler.SESSIONS) context.resourceBase = "." context.addServlet(TemplateServlet, "*.gsp") server.start() sleep duration server.stop()}runServer(10000)
Grape will download Jetty and its dependencies on first launch of thisscript, and cache them. We create a new Jetty Server on port 8080,then expose Groovy’s TemplateServlet at the root of the context — Groovycomes with its own powerful template engine mechanism. We start theserver and let it run for a certain duration. Each time someone will hithttp://localhost:8080/somepage.gsp, it will display the somepage.gsptemplate to the user — those template pages should be situated in thesame directory as this server script.
The Groovy programming language comes with great support for writing tests. In addition to the languagefeatures and test integration with state-of-the-art testing libraries and frameworks, the Groovy ecosystem has borna rich set of testing libraries and frameworks.
This chapter will start with language specific testing features and continue with a closer look at JUnitintegration, Spock for specifications, and Geb for functional tests. Finally, we’ll do an overview of other testinglibraries known to be working with Groovy.
Besides integrated support for JUnit, the Groovy programming language comes with features that have provento be very valuable for test-driven development. This section gives insight on them.
Writing tests means formulating assumptions by using assertions. In Java this can be done by using theassert
keyword that has been added in J2SE 1.4. In Java,assert
statements can be enabled via the JVM parameters-ea
(or-enableassertions
) and-da
(or-disableassertions
). Assertion statements in Java are disabled by default.
Groovy comes with a ratherpowerful variant ofassert
also known aspower assertion statement. Groovy’s powerassert
differs from the Java version in its output given the boolean expression validates tofalse
:
def x = 1assert x == 2// Output:(1)//// Assertion failed:// assert x == 2// | |// 1 false
1 | This section shows the std-err output |
Thejava.lang.AssertionError
that is thrown whenever the assertion can not be validated successfully, containsan extended version of the original exception message. The power assertion output shows evaluation results fromthe outer to the inner expression.
The power assertion statements true power unleashes in complex Boolean statements, or statements withcollections or othertoString
-enabled classes:
def x = [1,2,3,4,5]assert (x << 6) == [6,7,8,9,10]// Output://// Assertion failed:// assert (x << 6) == [6,7,8,9,10]// | | |// | | false// | [1, 2, 3, 4, 5, 6]// [1, 2, 3, 4, 5, 6]
Another important difference from Java is that in Groovy assertions areenabled by default. It has been a language designdecision to remove the possibility to deactivate assertions. Or, as Bertrand Meyer stated,it makes no sense to takeoff your swim ring if you put your feet into real water
.
One thing to be aware of are methods with side effects inside Boolean expressions in power assertion statements. Asthe internal error message construction mechanism does only store references to instances under target, it happens that the error message text is invalid at rendering time in case of side-effecting methods involved:
assert [[1,2,3,3,3,3,4]].first().unique() == [1,2,3]// Output://// Assertion failed:// assert [[1,2,3,3,3,3,4]].first().unique() == [1,2,3]// | | |// | | false// | [1, 2, 3, 4]// [1, 2, 3, 4](1)
1 | The error message shows the actual state of the collection, not the state before theunique method was applied |
If you choose to provide a custom assertion error message this can be done by using the Java syntaxassertexpression1 : expression2 whereexpression1 is the Boolean expression andexpression2 is the custom error message. Be aware though that this will disable the power assert and will fully fall back to custom error messages on assertion errors. |
Groovy has excellent built-in support for a range of mocking and stubbing alternatives. When using Java, dynamic mockingframeworks are very popular. A key reason for this is that it is hard work creating custom hand-crafted mocks using Java.Such frameworks can be used easily with Groovy if you choose but creating custom mocks is much easier in Groovy. Youcan often get away with simple maps or closures to build your custom mocks.
The following sections show ways to create mocks and stubs with Groovy language features only.
By using maps or expandos, we can incorporate desired behaviour of a collaborator very easily as shown here:
class TranslationService { String convert(String key) { return "test" }}def service = [convert: { String key -> 'some text' }] as TranslationServiceassert 'some text' == service.convert('key.text')
Theas
operator can be used to coerce a map to a particular class. The given map keys are interpreted asmethod names and the values, beinggroovy.lang.Closure
blocks, are interpreted as method code blocks.
Be aware that map coercion can get into the way if you deal with customjava.util.Map descendant classes in combinationwith theas operator. The map coercion mechanism is targeted directly at certain collection classes, it doesn’t takecustom classes into account. |
The 'as' operator can be used with closures in a neat way which is great for developer testing in simple scenarios.We haven’t found this technique to be so powerful that we want to do away with dynamic mocking, but it can be veryuseful in simple cases none-the-less.
Classes or interfaces holding a single method, including SAM (single abstract method) classes, can be used to coercea closure block to be an object of the given type. Be aware that for doing this, Groovy internally create a proxy objectdescending for the given class. So the object will not be a direct instance of the given class. This important if, forexample, the generated proxy object’s metaclass is altered afterwards.
Let’s have an example on coercing a closure to be of a specific type:
def service = { String key -> 'some text' } as TranslationServiceassert 'some text' == service.convert('key.text')
Groovy supports a feature called implicit SAM coercion. This means that theas
operator is not necessary in situationswhere the runtime can infer the target SAM type. This type of coercion might be useful in tests to mock entire SAMclasses:
abstract class BaseService { abstract void doSomething()}BaseService service = { -> println 'doing something' }service.doSomething()
The Groovy mocking and stubbing classes can be found in thegroovy.mock.interceptor
package.
TheMockFor
class supports (typically unit) testing of classes in isolation by allowing astrictly ordered expectationof the behavior of collaborators to be defined. A typical test scenario involves a class under test and one or more collaborators. In such a scenario it isoften desirable to just test the business logic of the class under test. One strategy for doing that is to replacethe collaborator instances with simplified mock objects to help isolate out the logic in the test target. MockForallows such mocks to be created using meta-programming. The desired behavior of collaborators is defined as a behaviorspecification. The behavior is enforced and checked automatically.
Let’s assume our target classes looked like this:
class Person { String first, last}class Family { Person father, mother def nameOfMother() { "$mother.first $mother.last" }}
WithMockFor
, a mock expectation is always sequence dependent and its use automatically ends with a call toverify
:
def mock = new MockFor(Person)(1)mock.demand.getFirst{ 'dummy' }mock.demand.getLast{ 'name' }mock.use {(2) def mary = new Person(first:'Mary', last:'Smith') def f = new Family(mother:mary) assert f.nameOfMother() == 'dummy name'}mock.expect.verify()(3)
1 | a new mock is created by a new instance ofMockFor |
2 | aClosure is passed touse which enables the mocking functionality |
3 | a call toverify checks whether the sequence and number of method calls is as expected |
TheStubFor
class supports (typically unit) testing of classes in isolation by allowing aloosely-ordered expectationof the behavior of collaborators to be defined. A typical test scenario involves a class under test and one or morecollaborators. In such a scenario it is often desirable to just test the business logic of the CUT. One strategy fordoing that is to replace the collaborator instances with simplified stub objects to help isolate out the logicin the target class.StubFor
allows such stubs to be created using meta-programming. The desired behavior ofcollaborators is defined as a behavior specification.
In contrast toMockFor
the stub expectation checked withverify
is sequence independent and its use is optional:
def stub = new StubFor(Person)(1)stub.demand.with {(2) getLast{ 'name' } getFirst{ 'dummy' }}stub.use {(3) def john = new Person(first:'John', last:'Smith') def f = new Family(father:john) assert f.father.first == 'dummy' assert f.father.last == 'name'}stub.expect.verify()(4)
1 | a new stub is created by a new instance ofStubFor |
2 | thewith method is used for delegating all calls inside the closure to theStubFor instance |
3 | aClosure is passed touse which enables the stubbing functionality |
4 | a call toverify (optional) checks whether the number of method calls is as expected |
MockFor
andStubFor
can not be used to test statically compiled classes e.g. for Java classes or Groovy classes thatmake use of@CompileStatic
. To stub and/or mock these classes you can use Spock or one of the Java mocking libraries.
Groovy includes a specialMetaClass
the so-calledExpandoMetaClass
(EMC). It allows to dynamically add methods,constructors, properties and static methods using a neat closure syntax.
Everyjava.lang.Class
is supplied with a specialmetaClass
property that will give a reference to anExpandoMetaClass
instance. The expando metaclass is not restricted to custom classes, it can be used forJDK classes like for examplejava.lang.String
as well:
String.metaClass.swapCase = {-> def sb = new StringBuffer() delegate.each { sb << (Character.isUpperCase(it as char) ? Character.toLowerCase(it as char) : Character.toUpperCase(it as char)) } sb.toString()}def s = "heLLo, worLD!"assert s.swapCase() == 'HEllO, WORld!'
TheExpandoMetaClass
is a rather good candidate for mocking functionality as it allows for more advanced stufflike mocking static methods
class Book { String title}Book.metaClass.static.create << { String title -> new Book(title:title) }def b = Book.create("The Stand")assert b.title == 'The Stand'
or even constructors
Book.metaClass.constructor << { String title -> new Book(title:title) }def b = new Book("The Stand")assert b.title == 'The Stand'
Mocking constructors might seem like a hack that’s better not even to be considered but even there might be validuse cases. An example can be found in Grails where domain class constructors are added at run-time with thehelp ofExpandoMetaClass . This lets the domain object register itself in the Spring application context and allowsfor injection of services or other beans controlled by the dependency-injection container. |
If you want to change themetaClass
property on a per test method level you need to remove the changes that weredone to the metaclass, otherwise those changes would be persistent across test method calls. Changes are removed byreplacing the metaclass in theGroovyMetaClassRegistry
:
GroovySystem.metaClassRegistry.removeMetaClass(String)
Another alternative is to register aMetaClassRegistryChangeEventListener
, track the changed classes and removethe changes in the cleanup method of your chosen testing runtime. A good example can be foundin the Grails webdevelopment framework.
Besides using theExpandoMetaClass
on a class-level, there is also support for using the metaclass on a per-objectlevel:
def b = new Book(title: "The Stand")b.metaClass.getTitle {-> 'My Title' }assert b.title == 'My Title'
In this case the metaclass change is related to the instance only. Depending on the test scenario this might be a betterfit than the global metaclass change.
The following section gives a brief overview on GDK methods that can be leveraged in test case scenarios, for example fortest data generation.
Thecombinations
method that is added onjava.lang.Iterable
compliant classes can be used to get a list ofcombinations from a list containing two or more sub-lists:
void testCombinations() { def combinations = [[2, 3],[4, 5, 6]].combinations() assert combinations == [[2, 4], [3, 4], [2, 5], [3, 5], [2, 6], [3, 6]]}
The method could be used in test case scenarios to generate all possible argument combinations for a specific methodcall.
TheeachCombination
method that is added onjava.lang.Iterable
can be used to apply a function (or in this case agroovy.lang.Closure
) to each if the combinations that has been built by thecombinations
method:
eachCombination
is a GDK method that is added to all classes conforming to thejava.lang.Iterable
interface.It applies a function on each combination of the input lists:
void testEachCombination() { [[2, 3],[4, 5, 6]].eachCombination { println it[0] + it[1] }}
The method could be used in the testing context to call methods with each of the generated combinations.
Code coverage is a useful measure of the effectiveness of (unit) tests. A program with high code coverage has alower chance to hold critical bugs than a program with no or low coverage. To get code coverage metrics,the generated byte-code usually needs to be instrumented before the tests are executed. One tool with Groovy support for this task isCobertura.
The following code listing shows an example on how to enable Cobertura test coverage reports in a Gradle build script froma Groovy project:
def pluginVersion = '<plugin version>'def groovyVersion = '<groovy version>'def junitVersion = '<junit version>'buildscript { repositories { mavenCentral() } dependencies { classpath 'com.eriwen:gradle-cobertura-plugin:${pluginVersion}' }}apply plugin: 'groovy'apply plugin: 'cobertura'repositories { mavenCentral()}dependencies { compile "org.codehaus.groovy:groovy-all:${groovyVersion}" testCompile "junit:junit:${junitVersion}"}cobertura { format = 'html' includes = ['**/*.java', '**/*.groovy'] excludes = ['com/thirdparty/**/*.*']}
Several output formats can be chosen for Cobertura coverage reports and test code coverage reports can be added tocontinuous integration build tasks.
Groovy simplifies JUnit testing in the following ways:
You use the same overall practices as you would when testing with Java but youcan adopt much of Groovy’s concise syntax in your tests making them succinct. You can even usethe capabilities for writing testing domain specific languages (DSLs) if you feel so inclined.
There are numerous helper classes that simplify many testing activities. The details differin some cases depending on the version of JUnit you are using. We’ll cover those details shortly.
Groovy’s PowerAssert mechanism is wonderful to use in your tests
Groovy deems that tests are so important you should be able to run them as easily as scripts or classes.This is why Groovy includes an automatic test runner when using thegroovy
command or the GroovyConsole.This gives you some additional options over and above running your tests
In the following sections we will have a closer look at JUnit 3, 4 and 5 Groovy integration.
Maybe one of the most prominent Groovy classes supporting JUnit 3 tests is theGroovyTestCase
class. Beingderived fromjunit.framework.TestCase
it offers a bunch of additional methods that make testing in Groovy a breeze.
AlthoughGroovyTestCase inherits fromTestCase doesn’t mean you can’t use JUnit 4 features in your project. In fact,the most recent Groovy versions come with a bundled JUnit 4 and that comes with a backwards compatibleTestCase implementation. There have been some discussion on the Groovy mailing-list on whether to useGroovyTestCase or JUnit 4with the result that it is mostly a matter of taste, but withGroovyTestCase you get a bunch of methods for free thatmake certain types of tests easier to write. |
In this section, we will have a look at some of the methods provided byGroovyTestCase
. A full list of these can befound in the JavaDoc documentation forgroovy.test.GroovyTestCase ,don’t forget it is inherited fromjunit.framework.TestCase
which inherits all theassert*
methods.
GroovyTestCase
is inherited fromjunit.framework.TestCase
therefore it inherits a large number of assertion methodsbeing available to be called in every test method:
class MyTestCase extends GroovyTestCase { void testAssertions() { assertTrue(1 == 1) assertEquals("test", "test") def x = "42" assertNotNull "x must not be null", x assertNull null assertSame x, x }}
As can be seen above, in contrast to Java it is possible to leave out the parenthesis in most situations whichleads to even more readability of JUnit assertion method call expressions.
An interesting assertion method that is added byGroovyTestCase
isassertScript
. It ensures that the given Groovycode string succeeds without any exception:
void testScriptAssertions() { assertScript ''' def x = 1 def y = 2 assert x + y == 3 '''}
shouldFail
can be used to check whether the given code block fails or not. In case it fails, the assertion does hold,otherwise the assertion fails:
void testInvalidIndexAccess1() { def numbers = [1,2,3,4] shouldFail { numbers.get(4) }}
The example above uses the basicshouldFail
method interface that takes agroovy.lang.Closure
as a single argument. TheClosure
instance holds the code that is supposed to be breaking during run-time.
If we wanted to assertshouldFail
on a specificjava.lang.Exception
type we could have done so by using theshouldFail
implementation that takes theException
class as first argument and theClosure
as second argument:
void testInvalidIndexAccess2() { def numbers = [1,2,3,4] shouldFail IndexOutOfBoundsException, { numbers.get(4) }}
If anything other thanIndexOutOfBoundsException
(or a descendant class of it) is thrown, the test case will fail.
A pretty nice feature ofshouldFail
hasn’t been visible so far: it returns the exception message. This is reallyuseful if you want to assert on the exception error message:
void testInvalidIndexAccess3() { def numbers = [1,2,3,4] def msg = shouldFail IndexOutOfBoundsException, { numbers.get(4) } assert msg.contains('Index: 4, Size: 4') || msg.contains('Index 4 out-of-bounds for length 4') || msg.contains('Index 4 out of bounds for length 4')}
ThenotYetImplemented
method has been greatly influenced by HtmlUnit. It allows to write a test method but mark itas not yet implemented. As long as the test method fails and is marked withnotYetImplemented
the test goes green:
void testNotYetImplemented1() { if (notYetImplemented()) return(1) assert 1 == 2(2)}
1 | a call tonotYetImplemented is necessary forGroovyTestCase to get the current method stack. |
2 | as long as the test evaluates tofalse the test execution will be successful. |
An alternative to thenotYetImplemented
method is the@NotYetImplemented
annotation. It allows for annotating amethod as not yet implemented, with the exact same behavior asGroovyTestCase#notYetImplemented
but without the needfor thenotYetImplemented
method call:
@NotYetImplementedvoid testNotYetImplemented2() { assert 1 == 2}
Groovy can be used to write JUnit 4 test cases without any restrictions. Thegroovy.test.GroovyAssert
holdsvarious static methods that can be used as replacement for theGroovyTestCase
methods in JUnit 4 tests:
import org.junit.Testimport static groovy.test.GroovyAssert.shouldFailclass JUnit4ExampleTests { @Test void indexOutOfBoundsAccess() { def numbers = [1,2,3,4] shouldFail { numbers.get(4) } }}
As can be seen in the example above, the static methods found inGroovyAssert
are imported at the beginning of the class definition thusshouldFail
can be used the same way it can be used in aGroovyTestCase
.
groovy.test.GroovyAssert descends fromorg.junit.Assert that means it inherits all JUnit assertion methods. However,with the introduction of the power assertion statement, it turned out to begood practice to rely on assertion statementsinstead of using the JUnit assertion methods with the improved message being the main reason. |
It is worth mentioning thatGroovyAssert.shouldFail
is not absolutely identical toGroovyTestCase.shouldFail
. WhileGroovyTestCase.shouldFail
returns the exception message,GroovyAssert.shouldFail
returns the exception itself. Ittakes a few more keystrokes to get the message, but in return you can access other properties and methods of theexception:
@Testvoid shouldFailReturn() { def e = shouldFail { throw new RuntimeException('foo', new RuntimeException('bar')) } assert e instanceof RuntimeException assert e.message == 'foo' assert e.cause.message == 'bar'}
Much of the approach and helper classes described under JUnit4 apply when using JUnit5 however JUnit5uses some slightly different class annotations when writing your tests. See theJUnit5 documentationfor more details.
Create your test classes as per normal JUnit5 guidelines as shown in this example:
class MyTest { @Test void streamSum() { assertTrue(Stream.of(1, 2, 3) .mapToInt(i -> i) .sum() > 5, () -> "Sum should be greater than 5") } @RepeatedTest(value=2, name = "{displayName} {currentRepetition}/{totalRepetitions}") void streamSumRepeated() { assert Stream.of(1, 2, 3).mapToInt(i -> i).sum() == 6 } private boolean isPalindrome(s) { s == s.reverse() } @ParameterizedTest(1) @ValueSource(strings = [ "racecar", "radar", "able was I ere I saw elba" ]) void palindromes(String candidate) { assert isPalindrome(candidate) } @TestFactory def dynamicTestCollection() {[ dynamicTest("Add test") { -> assert 1 + 1 == 2 }, dynamicTest("Multiply Test", () -> { assert 2 * 3 == 6 }) ]}}
1 | This test requires the additionalorg.junit.jupiter:junit-jupiter-params dependency if not already in your project. |
You can run the tests in your IDE or build tool if it supports and is configured for JUnit5.If you run the above test in the GroovyConsole or via thegroovy
command, you will see a short text summary of theresult of running the test:
JUnit5 launcher: passed=8, failed=0, skipped=0, time=246ms
More detailed information is available at theFINE
logging level. You can configure your logging to display suchinformation or do it programmatically as follows:
@BeforeAllstatic void init() { def logger = Logger.getLogger(LoggingListener.name) logger.level = Level.FINE logger.addHandler(new ConsoleHandler(level: Level.FINE))}
Spock is a testing and specification framework for Java and Groovy applications. What makes it stand out from thecrowd is its beautiful and highly expressive specification DSL. In practice, Spock specifications are written asGroovy classes. Although written in Groovy they can be used to test Java classes. Spock can be used for unit,integration or BDD (behavior-driven-development) testing, it doesn’t put itself into a specific category of testingframeworks or libraries.
Beside these awesome features Spock is a good example on how to leverage advanced Groovy programminglanguage features in third party libraries, for example, by using Groovy AST transformations. |
This section should not serve as detailed guide on how to use Spock, it should rather give an impression what Spockis about and how it can be leveraged for unit, integration, functional or any other type of testing. |
The next section we will have a first look at the anatomy of a Spock specification. It should give apretty good feeling on what Spock is up to.
Spock lets you write specifications that describe features (properties, aspects) exhibited by a system ofinterest. The "system" can be anything between a single class and an entire application, a more advanced term for it issystem under specification. Thefeature description starts from a specific snapshot of the system and itscollaborators, this snapshot is called thefeature’s fixture.
Spock specification classes are derived fromspock.lang.Specification
. A concrete specification class might consistof fields, fixture methods, features methods and helper methods.
Let’s have a look at a simple specification with a single feature method for an imaginaryStack
class:
class StackSpec extends Specification { def "adding an element leads to size increase"() {(1) setup: "a new stack instance is created"(2) def stack = new Stack() when:(3) stack.push 42 then:(4) stack.size() == 1 }}
1 | Feature method, is by convention named with a String literal. |
2 | Setup block, here is where any setup work for this feature needs to be done. |
3 | When block describes a stimulus, a certain action under target by this feature specification. |
4 | Then block any expressions that can be used to validate the result of the code that was triggered by the when block. |
Spock feature specifications are defined as methods inside aspock.lang.Specification
class. They describe the featureby using a String literal instead of a method name.
A feature method holds multiple blocks, in our example we usedsetup
,when
andthen
. Thesetup
block is specialin that it is optional and allows to configure local variables visible inside the feature method. Thewhen
blockdefines the stimulus and is a companion of thethen
block which describes the response to the stimulus.
Note that thesetup
method in theStackSpec
above additionally has a description String. Description Strings are optional and can be added after block labels (likesetup
,when
,then
).
Spock provides much more features like data tables or advanced mocking capabilities. Feel free to consult theSpock GitHub page for more documentation and download information.
Geb is a functional web testing and scraper library that integrates with JUnit and Spock. It is based upon theSelenium web drivers and, like Spock, provides a Groovy DSL to write functional tests for web applications.
Geb has great features that make it a good fit for a functional testing library:
DOM access via a JQuery-like$
function
implements thepage pattern
support for modularization of certain web components (e.g. menu-bars, etc.) withmodules
integration with JavaScript via the JS variable
This section should not serve as detailed guide on how to use Geb, it should rather give an impression what Gebis about and how it can be leveraged functional testing. |
The next section will give an example on how Geb can be used to write a functional test for a simple web page with a single search field.
Although Geb can be used standalone in a Groovy script, in many scenarios it’s used in combination with other testingframeworks. Geb comes with various base classes that can be used in JUnit 3, 4, TestNG or Spock tests. The base classesare part of additional Geb modules that need to be added as a dependency.
For example, the following@Grab
dependencies can be used to run Geb with the Selenium Firefox driver inJUnit4 tests. The module that is needed for JUnit 3/4 support isgeb-junit4
:
@Grab('org.gebish:geb-core:0.9.2')@Grab('org.gebish:geb-junit4:0.9.2')@Grab('org.seleniumhq.selenium:selenium-firefox-driver:2.26.0')@Grab('org.seleniumhq.selenium:selenium-support:2.26.0')
The central class in Geb is thegeb.Browser
class. As its name implies it is used to browse pages and access DOM elements:
import geb.Browserimport org.openqa.selenium.firefox.FirefoxDriverdef browser = new Browser(driver: new FirefoxDriver(), baseUrl: 'http://myhost:8080/myapp')(1)browser.drive { go "/login"(2) $("#username").text = 'John'(3) $("#password").text = 'Doe' $("#loginButton").click() assert title == "My Application - Dashboard"}
1 | A newBrowser instance is created. In this case it uses the SeleniumFirefoxDriver and sets thebaseUrl . |
2 | go is used to navigate to a URL or relative URI |
3 | $ together with CSS selectors is used to access theusername andpassword DOM fields. |
TheBrowser
class comes with adrive
method that delegates all method/property calls to the currentbrowser
instance. TheBrowser
configuration must not be done inline, it can also be externalized in aGebConfig.groovy
configuration file for example. In practice, the usage of theBrowser
class is mostly hiddenby Geb test base classes. They delegate all missing properties and method calls to the currentbrowser
instancethat exists in the background:
class SearchTests extends geb.junit4.GebTest { @Test void executeSeach() { go 'http://somehost/mayapp/search'(1) $('#searchField').text = 'John Doe'(2) $('#searchButton').click()(3) assert $('.searchResult a').first().text() == 'Mr. John Doe'(4) }}
1 | Browser#go takes a relative or absolute link and calls the page. |
2 | Browser#$ is used to access DOM content. Any CSS selectors supported by the underlying Selenium drivers are allowed |
3 | click is used to click a button. |
4 | $ is used to get the first link out of thesearchResult block |
The example above shows a simple Geb web test with the JUnit 4 base classgeb.junit4.GebTest
. Note that in this casetheBrowser
configuration is externalized.GebTest
delegates methods likego
and$
to the underlyingbrowser
instance.
In the previous section we only scratched the surface of the available Geb features. More information on Geb can be foundat theproject homepage.
The Parrot parser is based on antlr4 and introduced since Groovy 3.0.0. It provides the following options to tune parsing performance:
Option | Description | Default | Version | Example |
---|---|---|---|---|
groovy.parallel.parse | Parsing groovy source files in parallel. |
| 3.0.5+ | -Dgroovy.parallel.parse=true |
groovy.antlr4.cache.threshold | antlr4 relies on DFA cache heavily for better performance, so antlr4 will not clear DFA cache, thus OutOfMemoryError will probably occur. Groovy trades off parsing performance and memory usage, when the count of Groovy source files parsed hits the cache threshold, the DFA cache will be cleared.Note: |
| 3.0.5+ | -Dgroovy.antlr4.cache.threshold=200 |
groovy.antlr4.sll.threshold | Parrot parser will try SLL mode and then try LL mode if SLL failed. But the more tokens to parse, the more likely SLL will fail. If SLL threshold hits, SLL will be skipped. Setting the threshold to |
| 3.0.9+ | -Dgroovy.antlr4.sll.threshold=1000 |
groovy.antlr4.clear.lexer.dfa.cache | Clear the DFA cache for lexer. The DFA cache for lexer is always small and important for parsing performance, so it’s strongly recommended to leave it as it is until OutOfMemoryError will truly occur |
| 3.0.9+ | -Dgroovy.antlr4.clear.lexer.dfa.cache=true |
Groovy comes with integrated support for converting between Groovy objects and JSON. The classes dedicated toJSON serialisation and parsing are found in thegroovy.json
package.
JsonSlurper
is a class that parses JSON text or reader content into Groovy data structures (objects) such as maps, lists andprimitive types likeInteger
,Double
,Boolean
andString
.
The class comes with a bunch of overloadedparse
methods plus some special methods such asparseText
,parseFile
and others. For the next example we will use theparseText
method. It parses a JSONString
and recursively converts it to alist or map of objects. The otherparse*
methods are similar in that they return a JSONString
but for different parametertypes.
def jsonSlurper = new JsonSlurper()def object = jsonSlurper.parseText('{ "name": "John Doe" } /* some comment */')assert object instanceof Mapassert object.name == 'John Doe'
Notice the result is a plain map and can be handled like a normal Groovy object instance.JsonSlurper
parses thegiven JSON as defined by theECMA-404 JSON Interchange Standardplus support for JavaScript comments and dates.
In addition to mapsJsonSlurper
supports JSON arrays which are converted to lists.
def jsonSlurper = new JsonSlurper()def object = jsonSlurper.parseText('{ "myList": [4, 8, 15, 16, 23, 42] }')assert object instanceof Mapassert object.myList instanceof Listassert object.myList == [4, 8, 15, 16, 23, 42]
The JSON standard supports the following primitive data types: string, number, object,true
,false
andnull
.JsonSlurper
converts these JSON types into corresponding Groovy types.
def jsonSlurper = new JsonSlurper()def object = jsonSlurper.parseText ''' { "simple": 123, "fraction": 123.66, "exponential": 123e12 }'''assert object instanceof Mapassert object.simple.class == Integerassert object.fraction.class == BigDecimalassert object.exponential.class == BigDecimal
AsJsonSlurper
is returning pure Groovy object instances without any special JSON classes in the back, its usageis transparent. In fact,JsonSlurper
results conform to GPath expressions. GPath is a powerful expression languagethat is supported by multiple slurpers for different data formats (XmlSlurper
for XML being one example).
For more details please have a look at the section onGPath expressions. |
The following table gives an overview of the JSON types and the corresponding Groovy data types:
JSON | Groovy |
---|---|
string |
|
number |
|
object |
|
array |
|
true |
|
false |
|
null |
|
date |
|
Whenever a value in JSON isnull ,JsonSlurper supplements it with the Groovynull value. This is in contrast to otherJSON parsers that represent anull value with a library-provided singleton object. |
JsonSlurper
comes with a couple of parser implementations. Each parser fits different requirements, it could well be that for certainscenarios theJsonSlurper
default parser is not the best bet for all situations. Here is an overview of the shipped parser implementations:
TheJsonParserCharArray
parser basically takes a JSON string and operates on the underlying character array. During valueconversion it copies character sub-arrays (a mechanism known as "chopping") and operates on them.
TheJsonFastParser
is a special variant of theJsonParserCharArray
and is the fastest parser. However, it is not thedefault parser for a reason.JsonFastParser
is a so-called index-overlay parser. During parsing of the given JSONString
ittries as hard as possible to avoid creating new char arrays orString
instances. It keeps pointers tothe underlying original character array only. In addition, it defers object creation as late as possible. If parsed maps areput into long-term caches care must be taken as the map objects might not be created and still consist of pointer to theoriginal char buffer only. However,JsonFastParser
comes with a special chop mode which dices up the char bufferearly to keep a small copy of the original buffer. Recommendation is to use theJsonFastParser
for JSON buffersunder 2MB and keeping the long-term cache restriction in mind.
TheJsonParserLax
is a special variant of theJsonParserCharArray
parser. It has similar performance characteristics asJsonFastParser
but differs in that it isn’t exclusively relying on the ECMA-404 JSON grammar. For example it allows for comments, no quote strings etc.
TheJsonParserUsingCharacterSource
is a special parser for very large files. It uses a technique called "character windowing" toparse large JSON files (large means files over 2MB size in this case) with constant performance characteristics.
The default parser implementation forJsonSlurper
isJsonParserCharArray
. TheJsonParserType
enumeration contains constants forthe parser implementations described above:
Implementation | Constant |
---|---|
|
|
|
|
|
|
|
|
Changing the parser implementation is as easy as setting theJsonParserType
with a call toJsonSlurper#setType()
.
def jsonSlurper = new JsonSlurper(type: JsonParserType.INDEX_OVERLAY)def object = jsonSlurper.parseText('{ "myList": [4, 8, 15, 16, 23, 42] }')assert object instanceof Mapassert object.myList instanceof Listassert object.myList == [4, 8, 15, 16, 23, 42]
JsonOutput
is responsible for serialising Groovy objects into JSON strings. It can be seen as companion object toJsonSlurper, being a JSON parser.
JsonOutput
comes with overloaded, statictoJson
methods. EachtoJson
implementation takes a different parameter type.The static methods can either be used directly or by importing the methods with a static import statement.
The result of atoJson
call is aString
containing the JSON code.
def json = JsonOutput.toJson([name: 'John Doe', age: 42])assert json == '{"name":"John Doe","age":42}'
JsonOutput
does not only support primitive, maps or list data types to be serialized to JSON, it goes further and evenhas support for serialising POGOs, that is, plain-old Groovy objects.
class Person { String name }def json = JsonOutput.toJson([ new Person(name: 'John'), new Person(name: 'Max') ])assert json == '[{"name":"John"},{"name":"Max"}]'
If you need control over the serialized output you can use aJsonGenerator
. TheJsonGenerator.Options
buildercan be used to create a customized generator. One or more options can be set on this builder in order to alterthe resulting output. When you are done setting the options simply call thebuild()
method in order to get a fullyconfigured instance that will generate output based on the options selected.
class Person { String name String title int age String password Date dob URL favoriteUrl}Person person = new Person(name: 'John', title: null, age: 21, password: 'secret', dob: Date.parse('yyyy-MM-dd', '1984-12-15'), favoriteUrl: new URL('http://groovy-lang.org/'))def generator = new JsonGenerator.Options() .excludeNulls() .dateFormat('yyyy@MM') .excludeFieldsByName('age', 'password') .excludeFieldsByType(URL) .build()assert generator.toJson(person) == '{"name":"John","dob":"1984@12"}'
A closure can be used to transform a type. These closure converters are registered for a given type and will becalled any time that type or a subtype is encountered. The first parameter to the closure is an object matching thetype for which the converter is registered and this parameter is required. The closure may take an optional secondString
parameter and this will be set to the key name if one is available.
class Person { String name URL favoriteUrl}Person person = new Person(name: 'John', favoriteUrl: new URL('http://groovy-lang.org/json.html#_jsonoutput'))def generator = new JsonGenerator.Options() .addConverter(URL) { URL u, String key -> if (key == 'favoriteUrl') { u.getHost() } else { u } } .build()assert generator.toJson(person) == '{"name":"John","favoriteUrl":"groovy-lang.org"}'// No key available when generating a JSON Arraydef list = [new URL('http://groovy-lang.org/json.html#_jsonoutput')]assert generator.toJson(list) == '["http://groovy-lang.org/json.html#_jsonoutput"]'// First parameter to the converter must match the type for which it is registeredshouldFail(IllegalArgumentException) { new JsonGenerator.Options() .addConverter(Date) { Calendar cal -> }}
As we saw in previous examples, the JSON output is not pretty printed per default. However, theprettyPrint
method inJsonOutput
comesto rescue for this task.
def json = JsonOutput.toJson([name: 'John Doe', age: 42])assert json == '{"name":"John Doe","age":42}'assert JsonOutput.prettyPrint(json) == '''\{ "name": "John Doe", "age": 42}'''.stripIndent()
prettyPrint
takes aString
as single parameter; therefore, it can be applied on arbitrary JSONString
instances, not only the result ofJsonOutput.toJson
.
Another way to create JSON from Groovy is to useJsonBuilder
orStreamingJsonBuilder
. Both builders provide aDSL which allows to formulate an object graph which is then converted to JSON.
For more details on builders, have a look at the builders chapter which covers bothJsonBuilderandStreamingJsonBuilder. |
Groovy’sgroovy-sql
module provides a higher-level abstraction over Java’s JDBC technology. JDBC itself providesa lower-level but fairly comprehensive API which provides uniform access to a whole variety of supported relational database systems.We’ll use HSQLDB in our examples here but you can alternatively use Oracle, SQL Server, MySQL and a host of others.The most frequently used class within thegroovy-sql
module is thegroovy.sql.Sql
class which raises the JDBCabstractions up one level. We’ll cover that first.
Connecting to a database with Groovy’sSql
class requires four pieces of information:
The database uniform resource locator (URL)
Username
Password
The driver class name (which can be derived automatically in some situations)
For our HSQLDB database, the values will be something like that shown in the following table:
Property | Value |
---|---|
url |
|
user | sa (or yourusername) |
password | yourPassword |
driver |
|
Consult the documentation for the JDBC driver that you plan to use to determine the correct values for your situation.
TheSql
class has anewInstance
factory method which takes these parameters. You would typically use it as follows:
import groovy.sql.Sqldef url = 'jdbc:hsqldb:mem:yourDB'def user = 'sa'def password = ''def driver = 'org.hsqldb.jdbcDriver'def sql = Sql.newInstance(url, user, password, driver)// use 'sql' instance ...sql.close()
If you don’t want to have to handle resource handling yourself (i.e. callclose()
manually) then you can use thewithInstance
variation as shown here:
withInstance
variation)Sql.withInstance(url, user, password, driver) { sql -> // use 'sql' instance ...}
It is often preferred to use a DataSource. You may have one available to you from a connection pool.Here we’ll use the one provided as part of the HSQLDB driver jar as shown here:
import groovy.sql.Sqlimport org.hsqldb.jdbc.JDBCDataSourcedef dataSource = new JDBCDataSource( database: 'jdbc:hsqldb:mem:yourDB', user: 'sa', password: '')def sql = new Sql(dataSource)// use then close 'sql' instance ...
If you have your own connection pooling, the details will be different, e.g. for Apache Commons DBCP:
@Grab('org.apache.commons:commons-dbcp2:2.7.0')import groovy.sql.Sqlimport org.apache.commons.dbcp2.BasicDataSourcedef ds = new BasicDataSource(driverClassName: "org.hsqldb.jdbcDriver", url: 'jdbc:hsqldb:mem:yourDB', username: 'sa', password: '')def sql = new Sql(ds)// use then close 'sql' instance ...
The previous examples assume that the necessary database driver jar is already on your classpath.For a self-contained script you can add@Grab
statements to the top of the script to automatically download the necessary jar as shown here:
<<<<<<< HEAD @Grab('org.hsqldb:hsqldb:2.7.2:jdk8')======= @Grab('org.hsqldb:hsqldb:2.7.3')>>>>>>> 35be169b6c (GROOVY-11418: Bump hsqldb to 2.7.3 (test dependency)) @GrabConfig(systemClassLoader=true) // create, use, and then close sql instance ...
The@GrabConfig
statement is necessary to make sure the system classloader is used. This ensures that the driver classes andsystem classes likejava.sql.DriverManager
are in the same classloader.
You can execute arbitrary SQL commands using theexecute()
method. Let’s have a look at using it to create a table.
The simplest way to execute SQL is to call theexecute()
method passing the SQL you wish to execute as a String as shown here:
// ... create 'sql' instancesql.execute ''' CREATE TABLE Author ( id INTEGER GENERATED BY DEFAULT AS IDENTITY, firstname VARCHAR(64), lastname VARCHAR(64) );'''// close 'sql' instance ...
There is a variant of this method which takes a GString and another with a list of parameters. There are also other variants with similar names:executeInsert
andexecuteUpdate
.We’ll see examples of these variants in other examples in this section.
The basic operations on a database are Create, Read, Update and Delete (the so-called CRUD operations). We’ll examine each of these in turn.
You can use the sameexecute()
statement we saw earlier but to insert a row by using a SQL insert statement as follows:
sql.execute "INSERT INTO Author (firstname, lastname) VALUES ('Dierk', 'Koenig')"
You can use a specialexecuteInsert
method instead ofexecute
. This will return a list of all keys generated.Both theexecute
andexecuteInsert
methods allow you to place '?' placeholders into your SQL string and supply a list of parameters.In this case a PreparedStatement is used which avoids any risk of SQL injection. The following example illustratesexecuteInsert
using placeholders and parameters:
def insertSql = 'INSERT INTO Author (firstname, lastname) VALUES (?,?)'def params = ['Jon', 'Skeet']def keys = sql.executeInsert insertSql, paramsassert keys[0] == [1]
In addition, both theexecute
andexecuteInsert
methods allow you to use GStrings. Any '$' placeholders within the SQL are assumedto be placeholders. An escaping mechanism exists if you want to supply part of the GString with a variable in aposition which isn’t where normal placeholders go within SQL. See the GroovyDoc for more details.Also,executeInsert
allows you to supply a list of key column names, when multiple keys are returned and you are only interested in some of them. Here is a fragment illustrating key name specification and GStrings:
def first = 'Guillaume'def last = 'Laforge'def myKeyNames = ['ID']def myKeys = sql.executeInsert """ INSERT INTO Author (firstname, lastname) VALUES (${first}, ${last})""", myKeyNamesassert myKeys[0] == [ID: 2]
Reading rows of data from the database is accomplished using one of several available methods:query
,eachRow
,firstRow
androws
.
Use thequery
method if you want to iterate through theResultSet
returned by the underlying JDBC API as shown here:
query
def expected = ['Dierk Koenig', 'Jon Skeet', 'Guillaume Laforge']def rowNum = 0sql.query('SELECT firstname, lastname FROM Author') { resultSet -> while (resultSet.next()) { def first = resultSet.getString(1) def last = resultSet.getString('lastname') assert expected[rowNum++] == "$first $last" }}
Use theeachRow
method if you want a slightly higher-level abstraction which provides a Groovy friendly map-like abstraction for theResultSet
as shown here:
eachRow
rowNum = 0sql.eachRow('SELECT firstname, lastname FROM Author') { row -> def first = row[0] def last = row.lastname assert expected[rowNum++] == "$first $last"}
Note that you can use Groovy list-style and map-style notations when accessing the row of data.
Use thefirstRow
method if you for similar functionality aseachRow
but returning only one row of data as shown here:
firstRow
def first = sql.firstRow('SELECT lastname, firstname FROM Author')assert first.values().sort().join(',') == 'Dierk,Koenig'
Use therows
method if you want to process a list of map-like data structures as shown here:
rows
List authors = sql.rows('SELECT firstname, lastname FROM Author')assert authors.size() == 3assert authors.collect { "$it.FIRSTNAME ${it[-1]}" } == expected
Note that the map-like abstraction has case-insensitive keys (hence we can use 'FIRSTNAME' or 'firstname' as the key) andalso that -ve indices (a standard Groovy feature) works when using an index value (to count column numbers from the right).
You can also use any of the above methods to return scalar values, though typicallyfirstRow
is all that is required in such cases. An example returning the count of rows is shown here:
assert sql.firstRow('SELECT COUNT(*) AS num FROM Author').num == 3
Updating rows can again be done using theexecute()
method. Just use a SQL update statement as the argument to the method.You can insert an author with just a lastname and then update the row to also have a firstname as follows:
sql.execute "INSERT INTO Author (lastname) VALUES ('Thorvaldsson')"sql.execute "UPDATE Author SET firstname='Erik' where lastname='Thorvaldsson'"
There is also a specialexecuteUpdate
variant which returns the number of rows updated as a result of executing the SQL.For example, you can change the lastname of an author as follows:
def updateSql = "UPDATE Author SET lastname='Pragt' where lastname='Thorvaldsson'"def updateCount = sql.executeUpdate updateSqlassert updateCount == 1def row = sql.firstRow "SELECT * FROM Author where firstname = 'Erik'"assert "${row.firstname} ${row.lastname}" == 'Erik Pragt'
Theexecute
method is also used for deleting rows as this example shows:
assert sql.firstRow('SELECT COUNT(*) as num FROM Author').num == 3sql.execute "DELETE FROM Author WHERE lastname = 'Skeet'"assert sql.firstRow('SELECT COUNT(*) as num FROM Author').num == 2
The easiest way to perform database operations within a transaction is to include the database operation within awithTransaction
closure as shown in the following example:
assert sql.firstRow('SELECT COUNT(*) as num FROM Author').num == 0sql.withTransaction { sql.execute "INSERT INTO Author (firstname, lastname) VALUES ('Dierk', 'Koenig')" sql.execute "INSERT INTO Author (firstname, lastname) VALUES ('Jon', 'Skeet')"}assert sql.firstRow('SELECT COUNT(*) as num FROM Author').num == 2
Here the database starts empty and has two rows after successful completion of the operation. Outside the scope of thetransaction, the database is never seen as having just one row.
If something goes wrong, any earlier operations within thewithTransaction
block are rolled back.We can see that in operation in the following example where we use database metadata (more details coming up shortly) to find themaximum allowable size of thefirstname
column and then attempt to enter a firstname one larger than that maximum value as shown here:
def maxFirstnameLengthdef metaClosure = { meta -> maxFirstnameLength = meta.getPrecision(1) }def rowClosure = {}def rowCountBefore = sql.firstRow('SELECT COUNT(*) as num FROM Author').numtry { sql.withTransaction { sql.execute "INSERT INTO Author (firstname) VALUES ('Dierk')" sql.eachRow "SELECT firstname FROM Author WHERE firstname = 'Dierk'", metaClosure, rowClosure sql.execute "INSERT INTO Author (firstname) VALUES (?)", 'X' * (maxFirstnameLength + 1) }} catch(ignore) { println ignore.message }def rowCountAfter = sql.firstRow('SELECT COUNT(*) as num FROM Author').numassert rowCountBefore == rowCountAfter
Even though the first sql execute succeeds initially, it will be rolled back and the number of rows will remain the same.
When dealing with large volumes of data, particularly when inserting such data, it can be more efficient to chunk the data into batches. This is doneusing thewithBatch
statement as shown in the following example:
sql.withBatch(3) { stmt -> stmt.addBatch "INSERT INTO Author (firstname, lastname) VALUES ('Dierk', 'Koenig')" stmt.addBatch "INSERT INTO Author (firstname, lastname) VALUES ('Paul', 'King')" stmt.addBatch "INSERT INTO Author (firstname, lastname) VALUES ('Guillaume', 'Laforge')" stmt.addBatch "INSERT INTO Author (firstname, lastname) VALUES ('Hamlet', 'D''Arcy')" stmt.addBatch "INSERT INTO Author (firstname, lastname) VALUES ('Cedric', 'Champeau')" stmt.addBatch "INSERT INTO Author (firstname, lastname) VALUES ('Erik', 'Pragt')" stmt.addBatch "INSERT INTO Author (firstname, lastname) VALUES ('Jon', 'Skeet')"}
After executing these statements, there will be 7 new rows in the database. In fact, they will have been added in batcheseven though you can’t easily tell that after that fact. If you want to confirm what is going on under the covers, you canadd a little bit of extra logging into your program. Add the following lines before thewithBatch
statement:
import java.util.logging.*// next line will add fine loggingLogger.getLogger('groovy.sql').level = Level.FINE// also adjust logging.properties file in JRE_HOME/lib to have:// java.util.logging.ConsoleHandler.level = FINE
With this extra logging turned on, and the changes made as per the above comment for the logging.properties file, you should seeoutput such as:
FINE: Successfully executed batch with 3 command(s)Apr 19, 2015 8:38:42 PM groovy.sql.BatchingStatementWrapper processResultFINE: Successfully executed batch with 3 command(s)Apr 19, 2015 8:38:42 PM groovy.sql.BatchingStatementWrapper processResultFINE: Successfully executed batch with 1 command(s)Apr 19, 2015 8:38:42 PM groovy.sql.Sql getStatement
We should also note, that any combination of SQL statements can be added to the batch. They don’t all have to beinserting a new row to the same table.
We noted earlier that to avoid SQL injection, we encourage you to use prepared statements, this is achieved using thevariants of methods which take GStrings or a list of extra parameters. Prepared statements can be used in combinationwith batches as shown in the following example:
def qry = 'INSERT INTO Author (firstname, lastname) VALUES (?,?)'sql.withBatch(3, qry) { ps -> ps.addBatch('Dierk', 'Koenig') ps.addBatch('Paul', 'King') ps.addBatch('Guillaume', 'Laforge') ps.addBatch('Hamlet', "D'Arcy") ps.addBatch('Cedric', 'Champeau') ps.addBatch('Erik', 'Pragt') ps.addBatch('Jon', 'Skeet')}
This provides a much safer option if the data could come from a user such as via a script or a web form. Of course, giventhat a prepared statement is being used, you are limited to a batch of the same SQL operation (insert in our example)to the one table.
When presenting large tables of data to a user, it is often convenient to present information a page ata time. Many of Groovy’s SQL retrieval methods have extra parameters which can be used to select a particularpage of interest. The starting position and page size are specified as integers as shown in the following exampleusingrows
:
def qry = 'SELECT * FROM Author'assert sql.rows(qry, 1, 3)*.firstname == ['Dierk', 'Paul', 'Guillaume']assert sql.rows(qry, 4, 3)*.firstname == ['Hamlet', 'Cedric', 'Erik']assert sql.rows(qry, 7, 3)*.firstname == ['Jon']
JDBC metadata can be retrieved in numerous ways. Perhaps the most basic approach is to extract themetadata from any row as shown in the following example which examines the tablename, column names and column type names:
sql.eachRow("SELECT * FROM Author WHERE firstname = 'Dierk'") { row -> def md = row.getMetaData() assert md.getTableName(1) == 'AUTHOR' assert (1..md.columnCount).collect{ md.getColumnName(it) } == ['ID', 'FIRSTNAME', 'LASTNAME'] assert (1..md.columnCount).collect{ md.getColumnTypeName(it) } == ['INTEGER', 'VARCHAR', 'VARCHAR']}
And another slight variant to the previous example, this time also looking at the column label:
sql.eachRow("SELECT firstname AS first FROM Author WHERE firstname = 'Dierk'") { row -> def md = row.getMetaData() assert md.getColumnName(1) == 'FIRSTNAME' assert md.getColumnLabel(1) == 'FIRST'}
Accessing metadata is quite common, so Groovy also provides variants to many of its methods that let yousupply a closure that will be called once with the row metadata in addition to the normal row closurewhich is called for each row. The following example illustrates the two closure variant foreachRow
:
def metaClosure = { meta -> assert meta.getColumnName(1) == 'FIRSTNAME' }def rowClosure = { row -> assert row.FIRSTNAME == 'Dierk' }sql.eachRow("SELECT firstname FROM Author WHERE firstname = 'Dierk'", metaClosure, rowClosure)
Note that our SQL query will only return one row, so we could have equally usedfirstRow
for the previous example.
Finally, JDBC also provides metadata per connection (not just for rows). You can also access such metadata from Groovy as shown in this example:
def md = sql.connection.metaDataassert md.driverName == 'HSQL Database Engine Driver'assert md.databaseProductVersion == '2.7.3'assert ['JDBCMajorVersion', 'JDBCMinorVersion'].collect{ md[it] } == [4, 2]assert md.stringFunctions.tokenize(',').contains('CONCAT')def rs = md.getTables(null, null, 'AUTH%', null)assert rs.next()assert rs.getString('TABLE_NAME').startsWith('AUTHOR')
Consult the JavaDoc for your driver to find out what metadata information is available for you to access.
Groovy supports some additional alternative placeholder syntax variants. The GString variantsare typically preferred over these alternatives but the alternatives are useful for Java integrationpurposes and sometimes in templating scenarios where GStrings might already be in heavy use as partof a template. The named parameter variants are much like the String plus list of parameter variants butinstead of having a list of?
placeholders followed by a list of parameters, you have one or moreplaceholders having the form:propName
or?.propName
and a single map, named arguments or adomain object as the parameter. The map or domain object should have a property namedpropName
corresponding to each supplied placeholder.
Here is an example using the colon form:
sql.execute "INSERT INTO Author (firstname, lastname) VALUES (:first, :last)", first: 'Dierk', last: 'Koenig'
And another example using the question mark form:
sql.execute "INSERT INTO Author (firstname, lastname) VALUES (?.first, ?.last)", first: 'Jon', last: 'Skeet'
If the information you need to supply is spread across multiple maps or domain objects you canuse the question mark form with an additional ordinal index as shown here:
class Rockstar { String first, last }def pogo = new Rockstar(first: 'Paul', last: 'McCartney')def map = [lion: 'King']sql.execute "INSERT INTO Author (firstname, lastname) VALUES (?1.first, ?2.lion)", pogo, map
The exact syntax for creating a stored procedure or function varies slightly between different databases.For the HSQLDB database we are using, we can create a stored function which returns the initials of all authors in a tableas follows:
sql.execute """ CREATE FUNCTION SELECT_AUTHOR_INITIALS() RETURNS TABLE (firstInitial VARCHAR(1), lastInitial VARCHAR(1)) READS SQL DATA RETURN TABLE ( SELECT LEFT(Author.firstname, 1) as firstInitial, LEFT(Author.lastname, 1) as lastInitial FROM Author )"""
We can use a SQLCALL
statement to invoke the function using Groovy’s normal SQL retrieval methods.Here is an example usingeachRow
.
def result = []sql.eachRow('CALL SELECT_AUTHOR_INITIALS()') { result << "$it.firstInitial$it.lastInitial"}assert result == ['DK', 'JS', 'GL']
Here is the code for creating another stored function, this one taking the lastname as a parameter:
sql.execute """ CREATE FUNCTION FULL_NAME (p_lastname VARCHAR(64)) RETURNS VARCHAR(100) READS SQL DATA BEGIN ATOMIC DECLARE ans VARCHAR(100); SELECT CONCAT(firstname, ' ', lastname) INTO ans FROM Author WHERE lastname = p_lastname; RETURN ans; END"""
We can use the placeholder syntax to specify where the parameter belongs and note the special placeholder position to indicate the result:
def result = sql.firstRow("{? = call FULL_NAME(?)}", ['Koenig'])assert result[0] == 'Dierk Koenig'
Finally, here is a stored procedure with input and output parameters:
sql.execute """ CREATE PROCEDURE CONCAT_NAME (OUT fullname VARCHAR(100), IN first VARCHAR(50), IN last VARCHAR(50)) BEGIN ATOMIC SET fullname = CONCAT(first, ' ', last); END"""
To use theCONCAT_NAME
stored procedure parameter, we make use of a specialcall
method. Any input parameters are simply providedas parameters to the method call. For output parameters, the resulting type must be specified as shown here:
sql.call("{call CONCAT_NAME(?, ?, ?)}", [Sql.VARCHAR, 'Dierk', 'Koenig']) { fullname -> assert fullname == 'Dierk Koenig'}
sql.execute """ CREATE PROCEDURE CHECK_ID_POSITIVE_IN_OUT ( INOUT p_err VARCHAR(64), IN pparam INTEGER, OUT re VARCHAR(15)) BEGIN ATOMIC IF pparam > 0 THEN set p_err = p_err || '_OK'; set re = 'RET_OK'; ELSE set p_err = p_err || '_ERROR'; set re = 'RET_ERROR'; END IF; END;"""
def scall = "{call CHECK_ID_POSITIVE_IN_OUT(?, ?, ?)}"sql.call scall, [Sql.inout(Sql.VARCHAR("MESSAGE")), 1, Sql.VARCHAR], { res, p_err -> assert res == 'MESSAGE_OK' && p_err == 'RET_OK'}
Groovy provides agroovy.sql.DataSet class which enhances thegroovy.sql.Sql classwith what can be thought of as miniORM functionality.Databases are accessed and queried using POGO fields and operators rather than JDBC-level API calls and RDBMS column names.
So, instead of a query like:
def qry = """SELECT * FROM Author WHERE (firstname > ?) AND (lastname < ?) ORDER BY lastname DESC"""def params = ['Dierk', 'Pragt']def result = sql.rows(qry, params)assert result*.firstname == ['Eric', 'Guillaume', 'Paul']
You can write code like this:
def authorDS = sql.dataSet('Author')def result = authorDS.findAll{ it.firstname > 'Dierk' } .findAll{ it.lastname < 'Pragt' } .sort{ it.lastname } .reverse()assert result.rows()*.firstname == ['Eric', 'Guillaume', 'Paul']
Here we have a helper "domain" class:
class Author { String firstname String lastname}
Database access and manipulation involves creating or working withinstances of the domain class.
Groovy’sgroovy-ginq
module provides a higher-level abstraction over collections.It could perform queries against in-memory collections of objects in SQL-like style.Also, querying XML, JSON, YAML, etc. could also be supported because they can be parsed into collections.As GORM and jOOQ are powerful enough to support querying DB, we will cover collections first.
GINQ is a DSL for querying with SQL-like syntax, which consists of the following structure:
GQ, i.e. abbreviation for GINQ|__ from| |__ <data_source_alias> in <data_source>|__ [join/innerjoin/leftjoin/rightjoin/fulljoin/crossjoin]*| |__ <data_source_alias> in <data_source>| |__ on <condition> ((&& | ||) <condition>)* (NOTE: `crossjoin` does not need `on` clause)|__ [where]| |__ <condition> ((&& | ||) <condition>)*|__ [groupby]| |__ <expression> [as <alias>] (, <expression> [as <alias>])*| |__ [having]| |__ <condition> ((&& | ||) <condition>)*|__ [orderby]| |__ <expression> [in (asc|desc)] (, <expression> [in (asc|desc)])*|__ [limit]| |__ [<offset>,] <size>|__ select |__ <expression> [as <alias>] (, <expression> [as <alias>])*
[] means the related clause is optional,* means zero or more times, and+ means one or more times. Also, the clauses of GINQ are order sensitive,so the order of clauses should be kept as the above structure |
As we could see, the simplest GINQ consists of afrom
clause and aselect
clause, which looks like:
from n in [0, 1, 2]select n
ONLY ONEfrom clause is required in GINQ. Also, GINQ supports multiple data sources throughfrom and the related joins. |
As a DSL, GINQ should be wrapped with the following block to be executed:
GQ { /* GINQ CODE */ }
For example,
def numbers = [0, 1, 2]assert [0, 1, 2] == GQ { from n in numbers select n}.toList()
import java.util.stream.Collectorsdef numbers = [0, 1, 2]assert '0#1#2' == GQ { from n in numbers select n}.stream() .map(e -> String.valueOf(e)) .collect(Collectors.joining('#'))
And it is strongly recommended to usedef
to define the variable for the result of GINQ execution,which is aQueryable
instance that is lazy.
def result = GQ { /* GINQ CODE */}def stream = result.stream() // get the stream from GINQ resultdef list = result.toList() // get the list from GINQ result
Currently GINQ can not work well when STC is enabled. |
Also, GINQ could be written in a method marked with@GQ
:
@GQdef someGinqMethod() { /* GINQ CODE */}
For example,
Mark theginq
method as a GINQ method with@GQ
annotation:
@groovy.ginq.transform.GQdef ginq(list, b, e) { from n in list where b < n && n < e select n}assert [3, 4] == ginq([1, 2, 3, 4, 5, 6], 2, 5).toList()
Specify the result type asList
:
import groovy.ginq.transform.GQ@GQ(List)def ginq(b, e) { from n in [1, 2, 3, 4, 5, 6] where b < n && n < e select n}assert [3, 4] == ginq(2, 5)
GINQ supports many result types, e.g.List ,Set ,Collection ,Iterable ,Iterator ,java.util.stream.Stream and array types. |
Enable parallel querying:
import groovy.ginq.transform.GQ@GQ(parallel=true)def ginq(x) { from n in [1, 2, 3] where n < x select n}assert [1] == ginq(2).toList()
The data source for GINQ could be specified byfrom
clause, which is equivalent to SQL’sFROM
.Currently GINQ supportsIterable
,Stream
, array and GINQ result set as its data source:
Iterable
Data Sourcefrom n in [1, 2, 3] select n
Stream
Data Sourcefrom n in [1, 2, 3].stream() select n
from n in new int[] {1, 2, 3} select n
def vt = GQ {from m in [1, 2, 3] select m}assert [1, 2, 3] == GQ { from n in vt select n}.toList()
The column names could be renamed withas
clause:
def result = GQ { from n in [1, 2, 3] select Math.pow(n, 2) as powerOfN}assert [[1, 1], [4, 4], [9, 9]] == result.stream().map(r -> [r[0], r.powerOfN]).toList()
The renamed column could be referenced by its new name, e.g.r.powerOfN .Also, it could be referenced by its index, e.g.r[0] |
assert [[1, 1], [2, 4], [3, 9]] == GQ { from v in ( from n in [1, 2, 3] select n, Math.pow(n, 2) as powerOfN ) select v.n, v.powerOfN}.toList()
select P1, P2, …, Pn is a simplified syntax ofselect new NamedRecord(P1, P2, …, Pn) when and only whenn >= 2.Also,NamedRecord instance will be created ifas clause is used.The values stored in theNamedRecord could be referenced by their names. |
Construct new objects as column values:
@groovy.transform.EqualsAndHashCodeclass Person { String name Person(String name) { this.name = name }}def persons = [new Person('Daniel'), new Person('Paul'), new Person('Eric')]assert persons == GQ { from n in ['Daniel', 'Paul', 'Eric'] select new Person(n)}.toList()
distinct
is equivalent to SQL’sDISTINCT
def result = GQ { from n in [1, 2, 2, 3, 3, 3] select distinct(n)}assert [1, 2, 3] == result.toList()
def result = GQ { from n in [1, 2, 2, 3, 3, 3] select distinct(n, n + 1)}assert [[1, 2], [2, 3], [3, 4]] == result.toList()
where
is equivalent to SQL’sWHERE
from n in [0, 1, 2, 3, 4, 5]where n > 0 && n <= 3select n * 2
from n in [0, 1, 2]where n in [1, 2]select n
from n in [0, 1, 2]where n in ( from m in [1, 2] select m)select n
import static groovy.lang.Tuple.tupleassert [0, 1] == GQ { from n in [0, 1, 2] where tuple(n, n + 1) in ( from m in [1, 2] select m - 1, m ) select n}.toList()
from n in [0, 1, 2]where n !in [1, 2]select n
from n in [0, 1, 2]where n !in ( from m in [1, 2] select m)select n
import static groovy.lang.Tuple.tupleassert [2] == GQ { from n in [0, 1, 2] where tuple(n, n + 1) !in ( from m in [1, 2] select m - 1, m ) select n}.toList()
from n in [1, 2, 3]where ( from m in [2, 3] where m == n select m).exists()select n
from n in [1, 2, 3]where !( from m in [2, 3] where m == n select m).exists()select n
More data sources for GINQ could be specified by join clauses.
from n1 in [1, 2, 3]join n2 in [1, 3] on n1 == n2select n1, n2
join is preferred overinnerjoin andinnerhashjoin as it has better readability,and it is smart enough to choose the correct concrete join(i.e.innerjoin orinnerhashjoin ) by itson clause. |
from n1 in [1, 2, 3]innerjoin n2 in [1, 3] on n1 == n2select n1, n2
from n1 in [1, 2, 3]leftjoin n2 in [2, 3, 4] on n1 == n2select n1, n2
from n1 in [2, 3, 4]rightjoin n2 in [1, 2, 3] on n1 == n2select n1, n2
from n1 in [1, 2, 3]fulljoin n2 in [2, 3, 4] on n1 == n2select n1, n2
from n1 in [1, 2, 3]crossjoin n2 in [3, 4, 5]select n1, n2
hash join is especially efficient when data sources contain lots of objects
from n1 in [1, 2, 3]innerhashjoin n2 in [1, 3] on n1 == n2select n1, n2
from n1 in [1, 2, 3]lefthashjoin n2 in [2, 3, 4] on n1 == n2select n1, n2
from n1 in [2, 3, 4]righthashjoin n2 in [1, 2, 3] on n1 == n2select n1, n2
from n1 in [1, 2, 3]fullhashjoin n2 in [2, 3, 4] on n1 == n2select n1, n2
Only binary expressions(== ,&& ) are allowed in theon clause of hash join |
groupby
is equivalent to SQL’sGROUP BY
, andhaving
is equivalent to SQL’sHAVING
from n in [1, 1, 3, 3, 6, 6, 6]groupby nselect n, count(n)
from n in [1, 1, 3, 3, 6, 6, 6]groupby nhaving n >= 3select n, count(n)
from n in [1, 1, 3, 3, 6, 6, 6]groupby nhaving count() < 3select n, count()
The group columns could be renamed withas
clause:
from s in ['ab', 'ac', 'bd', 'acd', 'bcd', 'bef']groupby s.size() as length, s[0] as firstCharselect length, firstChar, max(s)
from s in ['ab', 'ac', 'bd', 'acd', 'bcd', 'bef']groupby s.size() as length, s[0] as firstCharhaving length == 3 && firstChar == 'b'select length, firstChar, max(s)
GINQ provides some built-in aggregate functions:
Function | Argument Type(s) | Return Type | Description |
---|---|---|---|
count() | java.lang.Long | number of rows, similar to | |
count(expression) | any | java.lang.Long | number of rows for which the value ofexpression is not |
min(expression) | java.lang.Comparable | same as argument type | minimum value of expression across all non-null values |
max(expression) | java.lang.Comparable | same as argument type | maximum value of expression across all non-null values |
sum(expression) | java.lang.Number | java.math.BigDecimal | sum of expression across all non-null values |
avg(expression) | java.lang.Number | java.math.BigDecimal | the average (arithmetic mean) of all non-null values |
list(expression) | any | java.util.List | the aggregated list of all non-null values |
median(expression) | java.lang.Number | java.math.BigDecimal | value such that the number of non-null values above and below it is the same ("middle" value, not necessarily same as average or mean) |
stdev(expression) | java.lang.Number | java.math.BigDecimal | the statistical standard deviation of all non-null values |
stdevp(expression) | java.lang.Number | java.math.BigDecimal | the statistical standard deviation for the population for all non-null values |
var(expression) | java.lang.Number | java.math.BigDecimal | the statistical variance of all non-null values |
varp(expression) | java.lang.Number | java.math.BigDecimal | the statistical variance for the population for all non-null values |
agg(expression) | any | any | customizes the aggregation logic inexpression and returns single value |
from n in [1, 1, 3, 3, 6, 6, 6]groupby nselect n, count()
from s in ['a', 'b', 'cd', 'ef']groupby s.size() as lengthselect length, min(s)
from s in ['a', 'b', 'cd', 'ef']groupby s.size() as lengthselect length, max(s)
from n in [1, 1, 3, 3, 6, 6, 6]groupby nselect n, sum(n)
from n in [1, 1, 3, 3, 6, 6, 6]groupby nselect n, avg(n)
from n in [1, 1, 3, 3, 6, 6, 6]groupby nselect n, median(n)
assert [['A', ['APPLE', 'APRICOT']], ['B', ['BANANA']], ['C', ['CANTALOUPE']]] == GQL { from fruit in ['Apple', 'Apricot', 'Banana', 'Cantaloupe'] groupby fruit[0] as firstChar select firstChar, list(fruit.toUpperCase()) as fruit_list}
def persons = [new Person('Linda', 100, 'Female'), new Person('Daniel', 135, 'Male'), new Person('David', 122, 'Male')]assert [['Male', ['Daniel', 'David']], ['Female', ['Linda']]] == GQL { from p in persons groupby p.gender select p.gender, list(p.name)}
from n in [1, 1, 3, 3, 6, 6, 6]groupby nselect n, agg(_g.stream().map(r -> r.n).reduce(BigDecimal.ZERO, BigDecimal::add))
_g is an implicit variable foragg aggregate function,it represents the groupedQueryable object and its record(e.g.r ) could reference the data source by alias(e.g.n ) |
from fruit in ['Apple', 'Apricot', 'Banana', 'Cantaloupe']groupby fruit.substring(0, 1) as firstCharselect firstChar, agg(_g.stream().map(r -> r.fruit).toList()) as fruit_list
Also, we could apply the aggregate functions for the whole GINQ result, i.e. nogroupby
clause is needed:
assert [3] == GQ { from n in [1, 2, 3] select max(n)}.toList()
assert [[1, 3, 2, 2, 6, 3, 3, 6]] == GQ { from n in [1, 2, 3] select min(n), max(n), avg(n), median(n), sum(n), count(n), count(), agg(_g.stream().map(r -> r.n).reduce(BigDecimal.ZERO, BigDecimal::add))}.toList()
assert [0.816496580927726] == GQ { from n in [1, 2, 3] select stdev(n)}.toList()
assert [1] == GQ { from n in [1, 2, 3] select stdevp(n)}.toList()
assert [0.6666666666666667] == GQ { from n in [1, 2, 3] select var(n)}.toList()
assert [1] == GQ { from n in [1, 2, 3] select varp(n)}.toList()
orderby
is equivalent to SQL’sORDER BY
from n in [1, 5, 2, 6]orderby nselect n
in asc is optional when sortingin ascending order |
from n in [1, 5, 2, 6]orderby n in ascselect n
from n in [1, 5, 2, 6]orderby n in descselect n
from s in ['a', 'b', 'ef', 'cd']orderby s.length() in desc, s in ascselect s
from s in ['a', 'b', 'ef', 'cd']orderby s.length() in desc, sselect s
from n in [1, null, 5, null, 2, 6]orderby n in asc(nullslast)select n
nullslast is equivalent to SQL’sNULLS LAST and applied by default.nullsfirst is equivalent to SQL’sNULLS FIRST . |
from n in [1, null, 5, null, 2, 6]orderby n in asc(nullsfirst)select n
from n in [1, null, 5, null, 2, 6]orderby n in desc(nullslast)select n
from n in [1, null, 5, null, 2, 6]orderby n in desc(nullsfirst)select n
limit
is similar to thelimit
clause of MySQL, which could specify theoffset
(first argument) andsize
(second argument) for paginating,or just specify the only one argument assize
from n in [1, 2, 3, 4, 5]limit 3select n
from n in [1, 2, 3, 4, 5]limit 1, 3select n
from
clausefrom v in ( from n in [1, 2, 3] select n)select v
where
clausefrom n in [0, 1, 2]where n in ( from m in [1, 2] select m)select n
from n in [0, 1, 2]where ( from m in [1, 2] where m == n select m).exists()select n
select
clauseassert [null, 2, 3] == GQ { from n in [1, 2, 3] select ( from m in [2, 3, 4] where m == n limit 1 select m )}.toList()
It’s recommended to uselimit 1 to restrict the count of sub-query resultbecauseTooManyValuesException will be thrown if more than one values returned |
We could useas
clause to name the sub-query result
assert [[1, null], [2, 2], [3, 3]] == GQ { from n in [1, 2, 3] select n, ( from m in [2, 3, 4] where m == n select m ) as sqr}.toList()
Window can be defined bypartitionby
,orderby
,rows
andrange
:
over( [partitionby <expression> (, <expression>)*] [orderby <expression> (, <expression>)* [rows <lower>, <upper> | range <lower>, <upper>]])
0
used as bound ofrows
andrange
clause is equivalent to SQL’sCURRENT ROW
, and negative meansPRECEDING
, positive meansFOLLOWING
null
used as the lower bound ofrows
andrange
clause is equivalent to SQL’sUNBOUNDED PRECEDING
null
used as the upper bound ofrows
andrange
clause is equivalent to SQL’sUNBOUNDED FOLLOWING
Also, GINQ provides some built-in window functions:
Function | Argument Type(s) | Return Type | Description |
---|---|---|---|
rowNumber() | java.lang.Long | number of the current row within its partition, counting from | |
rank() | java.lang.Long | rank of the current row with gaps | |
denseRank() | java.lang.Long | rank of the current row without gaps | |
percentRank() | java.math.BigDecimal | relative rank of the current row: (rank - 1) / (total rows - 1) | |
cumeDist() | java.math.BigDecimal | relative rank of the current row: (number of rows preceding or peer with current row) / (total rows) | |
ntile(expression) | java.lang.Long | java.lang.Long | bucket index ranging from |
lead(expression [,offset [,default]]) | any [, java.lang.Long [, same asexpression type]] | same asexpression type | returnsexpression evaluated at the row that isoffset rows after the current row within the partition; if there is no such row, instead returndefault (which must be of the same type asexpression). Bothoffset anddefault are evaluated with respect to the current row. If omitted,offset defaults to |
lag(expression [,offset [,default]]) | any [, java.lang.Long [, same asexpression type]] | same asexpression type | returnsexpression evaluated at the row that isoffset rows before the current row within the partition; if there is no such row, instead returndefault (which must be of the same type asexpression). Bothoffset anddefault are evaluated with respect to the current row. If omitted,offset defaults to |
firstValue(expression) | any | same type asexpression | returnsexpression evaluated at the row that is the first row of the window frame |
lastValue(expression) | any | same type asexpression | returnsexpression evaluated at the row that is the last row of the window frame |
nthValue(expression,n) | any, java.lang.Long | same type asexpression | returnsexpression evaluated at the row that is thenth row of the window frame |
count() | java.lang.Long | number of rows, similar to | |
count(expression) | any | java.lang.Long | number of rows for which the value ofexpression is not |
min(expression) | java.lang.Comparable | same as argument type | minimum value of expression across all non-null values |
max(expression) | java.lang.Comparable | same as argument type | maximum value of expression across all non-null values |
sum(expression) | java.lang.Number | java.math.BigDecimal | sum of expression across all non-null values |
avg(expression) | java.lang.Number | java.math.BigDecimal | the average (arithmetic mean) of all non-null values |
median(expression) | java.lang.Number | java.math.BigDecimal | value such that the number of non-null values above and below it is the same ("middle" value, not necessarily same as average or mean) |
stdev(expression) | java.lang.Number | java.math.BigDecimal | the statistical standard deviation of all non-null values |
stdevp(expression) | java.lang.Number | java.math.BigDecimal | the statistical standard deviation for the population for all non-null values |
var(expression) | java.lang.Number | java.math.BigDecimal | the statistical variance of all non-null values |
varp(expression) | java.lang.Number | java.math.BigDecimal | the statistical variance for the population for all non-null values |
agg(expression) | any | any | INCUBATING: customizes the aggregation logic inexpression and returns single value |
rowNumber
assert [[2, 1, 1, 1], [1, 0, 0, 2], [null, 3, 3, 3], [3, 2, 2, 0]] == GQ { from n in [2, 1, null, 3] select n, (rowNumber() over(orderby n)), (rowNumber() over(orderby n in asc)), (rowNumber() over(orderby n in desc))}.toList()
assert [[1, 0, 1, 2, 3], [2, 1, 2, 1, 2], [null, 3, 0, 3, 0], [3, 2, 3, 0, 1]] == GQ { from n in [1, 2, null, 3] select n, (rowNumber() over(orderby n in asc(nullslast))), (rowNumber() over(orderby n in asc(nullsfirst))), (rowNumber() over(orderby n in desc(nullslast))), (rowNumber() over(orderby n in desc(nullsfirst)))}.toList()
The parentheses around the window function is required. |
rank
,denseRank
,percentRank
,cumeDist
andntile
assert [['a', 1, 1], ['b', 2, 2], ['b', 2, 2], ['c', 4, 3], ['c', 4, 3], ['d', 6, 4], ['e', 7, 5]] == GQ { from s in ['a', 'b', 'b', 'c', 'c', 'd', 'e'] select s, (rank() over(orderby s)), (denseRank() over(orderby s))}.toList()
assert [[60, 0, 0.4], [60, 0, 0.4], [80, 0.5, 0.8], [80, 0.5, 0.8], [100, 1, 1]] == GQ { from n in [60, 60, 80, 80, 100] select n, (percentRank() over(orderby n)), (cumeDist() over(orderby n))}.toList()
assert [[1, 0], [2, 0], [3, 0], [4, 1], [5, 1], [6, 2], [7, 2],[8, 2], [9, 3], [10, 3]] == GQ { from n in 1..10 select n, (ntile(4) over(orderby n))}.toList()
lead
andlag
assert [[2, 3], [1, 2], [3, null]] == GQ { from n in [2, 1, 3] select n, (lead(n) over(orderby n))}.toList()
assert [[2, 3], [1, 2], [3, null]] == GQ { from n in [2, 1, 3] select n, (lead(n) over(orderby n in asc))}.toList()
assert [['a', 'bc'], ['ab', null], ['b', 'a'], ['bc', 'ab']] == GQ { from s in ['a', 'ab', 'b', 'bc'] select s, (lead(s) over(orderby s.length(), s in desc))}.toList()
assert [['a', null], ['ab', null], ['b', 'a'], ['bc', 'ab']] == GQ { from s in ['a', 'ab', 'b', 'bc'] select s, (lead(s) over(partitionby s.length() orderby s.length(), s in desc))}.toList()
assert [[2, 1], [1, null], [3, 2]] == GQ { from n in [2, 1, 3] select n, (lag(n) over(orderby n))}.toList()
assert [[2, 3], [1, 2], [3, null]] == GQ { from n in [2, 1, 3] select n, (lag(n) over(orderby n in desc))}.toList()
assert [['a', null], ['b', 'a'], ['aa', null], ['bb', 'aa']] == GQ { from s in ['a', 'b', 'aa', 'bb'] select s, (lag(s) over(partitionby s.length() orderby s))}.toList()
assert [[2, 3, 1], [1, 2, null], [3, null, 2]] == GQ { from n in [2, 1, 3] select n, (lead(n) over(orderby n)), (lag(n) over(orderby n))}.toList()
The offset can be specified other than the default offset1
:
assert [[2, null, null], [1, 3, null], [3, null, 1]] == GQ { from n in [2, 1, 3] select n, (lead(n, 2) over(orderby n)), (lag(n, 2) over(orderby n))}.toList()
The default value can be returned when the index specified by offset is out of window, e.g.'NONE'
:
assert [[2, 'NONE', 'NONE'], [1, 3, 'NONE'], [3, 'NONE', 1]] == GQ { from n in [2, 1, 3] select n, (lead(n, 2, 'NONE') over(orderby n)), (lag(n, 2, 'NONE') over(orderby n))}.toList()
firstValue
,lastValue
andnthValue
assert [[2, 1], [1, 1], [3, 2]] == GQ { from n in [2, 1, 3] select n, (firstValue(n) over(orderby n rows -1, 1))}.toList()
assert [[2, 3], [1, 2], [3, 3]] == GQ { from n in [2, 1, 3] select n, (lastValue(n) over(orderby n rows -1, 1))}.toList()
assert [[2, 2], [1, 1], [3, 3]] == GQ { from n in [2, 1, 3] select n, (firstValue(n) over(orderby n rows 0, 1))}.toList()
assert [[2, 1], [1, null], [3, 1]] == GQ { from n in [2, 1, 3] select n, (firstValue(n) over(orderby n rows -2, -1))}.toList()
assert [[2, 1], [1, null], [3, 2]] == GQ { from n in [2, 1, 3] select n, (lastValue(n) over(orderby n rows -2, -1))}.toList()
assert [[2, 3], [1, 3], [3, null]] == GQ { from n in [2, 1, 3] select n, (lastValue(n) over(orderby n rows 1, 2))}.toList()
assert [[2, 3], [1, 2], [3, null]] == GQ { from n in [2, 1, 3] select n, (firstValue(n) over(orderby n rows 1, 2))}.toList()
assert [[2, 2], [1, 1], [3, 3]] == GQ { from n in [2, 1, 3] select n, (lastValue(n) over(orderby n rows -1, 0))}.toList()
assert [[2, 1], [1, 1], [3, 1]] == GQ { from n in [2, 1, 3] select n, (firstValue(n) over(orderby n rows null, 1))}.toList()
assert [[2, 3], [1, 3], [3, 3]] == GQ { from n in [2, 1, 3] select n, (lastValue(n) over(orderby n rows -1, null))}.toList()
assert [['a', 'a', 'b'], ['aa', 'aa', 'bb'], ['b', 'a', 'b'], ['bb', 'aa', 'bb']] == GQ { from s in ['a', 'aa', 'b', 'bb'] select s, (firstValue(s) over(partitionby s.length() orderby s)), (lastValue(s) over(partitionby s.length() orderby s))}.toList()
assert [[1, 1, 2, 3, null], [2, 1, 2, 3, null], [3, 1, 2, 3, null]] == GQ { from n in 1..3 select n, (nthValue(n, 0) over(orderby n)), (nthValue(n, 1) over(orderby n)), (nthValue(n, 2) over(orderby n)), (nthValue(n, 3) over(orderby n))}.toList()
min
,max
,count
,sum
,avg
,median
,stdev
,stdevp
,var
,varp
andagg
assert [['a', 'a', 'b'], ['b', 'a', 'b'], ['aa', 'aa', 'bb'], ['bb', 'aa', 'bb']] == GQ { from s in ['a', 'b', 'aa', 'bb'] select s, (min(s) over(partitionby s.length())), (max(s) over(partitionby s.length()))}.toList()
assert [[1, 2, 2, 2, 1, 1], [1, 2, 2, 2, 1, 1], [2, 2, 2, 4, 2, 2], [2, 2, 2, 4, 2, 2], [3, 2, 2, 6, 3, 3], [3, 2, 2, 6, 3, 3]] == GQ { from n in [1, 1, 2, 2, 3, 3] select n, (count() over(partitionby n)), (count(n) over(partitionby n)), (sum(n) over(partitionby n)), (avg(n) over(partitionby n)), (median(n) over(partitionby n))}.toList()
assert [[2, 6, 3, 1, 3, 4], [1, 6, 3, 1, 3, 4], [3, 6, 3, 1, 3, 4], [null, 6, 3, 1, 3, 4]] == GQ { from n in [2, 1, 3, null] select n, (sum(n) over()), (max(n) over()), (min(n) over()), (count(n) over()), (count() over())}.toList()
assert [[1, 1, 1], [2, 2, 3], [5, 2, 10], [5, 2, 10]] == GQ { from n in [1, 2, 5, 5] select n, (count() over(orderby n range -2, 0)), (sum(n) over(orderby n range -2, 0))}.toList()
assert [[1, 2, 3], [2, 1, 2], [5, 2, 10], [5, 2, 10]] == GQ { from n in [1, 2, 5, 5] select n, (count() over(orderby n range 0, 1)), (sum(n) over(orderby n range 0, 1))}.toList()
assert [[1, 2, 3], [2, 2, 3], [5, 2, 10], [5, 2, 10]] == GQ { from n in [1, 2, 5, 5] select n, (count() over(orderby n range -1, 1)), (sum(n) over(orderby n range -1, 1))}.toList()
assert [[1, 1, 2], [2, 0, 0], [5, 0, 0], [5, 0, 0]] == GQ { from n in [1, 2, 5, 5] select n, (count() over(orderby n in desc range 1, 2)), (sum(n) over(orderby n in desc range 1, 2))}.toList()
assert [[1, 0, 0], [2, 1, 1], [5, 0, 0], [5, 0, 0]] == GQ { from n in [1, 2, 5, 5] select n, (count() over(orderby n in desc range -2, -1)), (sum(n) over(orderby n in desc range -2, -1))}.toList()
assert [[1, 3, 12], [2, 2, 10], [5, 0, 0], [5, 0, 0]] == GQ { from n in [1, 2, 5, 5] select n, (count() over(orderby n range 1, null)), (sum(n) over(orderby n range 1, null))}.toList()
assert [[1, 2, 3], [2, 2, 3], [5, 4, 13], [5, 4, 13]] == GQ { from n in [1, 2, 5, 5] select n, (count() over(orderby n range null, 1)), (sum(n) over(orderby n range null, 1))}.toList()
assert [[1, 0.816496580927726], [2, 0.816496580927726], [3, 0.816496580927726]] == GQ { from n in [1, 2, 3] select n, (stdev(n) over())}.toList()
assert [[1, 1], [2, 1], [3, 1]] == GQ { from n in [1, 2, 3] select n, (stdevp(n) over())}.toList()
assert [[1, 0.6666666666666667], [2, 0.6666666666666667], [3, 0.6666666666666667]] == GQ { from n in [1, 2, 3] select n, (var(n) over())}.toList()
assert [[1, 1], [2, 1], [3, 1]] == GQ { from n in [1, 2, 3] select n, (varp(n) over())}.toList()
assert [[1, 4], [2, 2], [3, 4]] == GQ { from n in [1, 2, 3] select n, (agg(_g.stream().map(r -> r.n).reduce(BigDecimal.ZERO, BigDecimal::add)) over(partitionby n % 2))}.toList()
_rn
is the implicit variable representing row number for each record in the result set. It starts with0
from n in [1, 2, 3]select _rn, n
List comprehension is an elegant way to define and create lists based on existing lists:
assert [4, 16, 36, 64, 100] == GQ {from n in 1..<11 where n % 2 == 0 select n ** 2}.toList()
assert [4, 16, 36, 64, 100] == GQ {from n in 1..<11 where n % 2 == 0 select n ** 2} as List
assert [4, 16, 36, 64, 100] == GQL {from n in 1..<11 where n % 2 == 0 select n ** 2}
GQL {…} is the abbreviation ofGQ {…}.toList() |
GINQ could be used as list comprehension in the loops directly:
def result = []for (def x : GQ {from n in 1..<11 where n % 2 == 0 select n ** 2}) { result << x}assert [4, 16, 36, 64, 100] == result
This is likeupdate
statement in SQL
import groovy.transform.*@TupleConstructor@EqualsAndHashCode@ToStringclass Person { String name String nickname}def linda = new Person('Linda', null)def david = new Person('David', null)def persons = [new Person('Daniel', 'ShanFengXiaoZi'), linda, david]def result = GQ { from p in persons where p.nickname == null select p}.stream() .peek(p -> { p.nickname = 'Unknown' }) // update `nickname` .toList()def expected = [new Person('Linda', 'Unknown'), new Person('David', 'Unknown')]assert expected == resultassert ['Unknown', 'Unknown'] == [linda, david]*.nickname // ensure the original objects are updated
with
clauseGINQ does not supportwith
clause for now, but we could define a temporary variable to workaround:
def v = GQ { from n in [1, 2, 3] where n < 3 select n }def result = GQ { from n in v where n > 1 select n}assert [2] == result.toList()
case-when
case-when
of SQL could be replaced with switch expression:
assert ['a', 'b', 'c', 'c'] == GQ { from n in [1, 2, 3, 4] select switch (n) { case 1 -> 'a' case 2 -> 'b' default -> 'c' }}.toList()
import groovy.json.JsonSlurperdef json = new JsonSlurper().parseText(''' { "fruits": [ {"name": "Orange", "price": 11}, {"name": "Apple", "price": 6}, {"name": "Banana", "price": 4}, {"name": "Mongo", "price": 29}, {"name": "Durian", "price": 32} ] }''')def expected = [['Mongo', 29], ['Orange', 11], ['Apple', 6], ['Banana', 4]]assert expected == GQ { from f in json.fruits where f.price < 32 orderby f.price in desc select f.name, f.price}.toList()
Parallel querying is especially efficient when querying big data sources. It is disabled by default, but we could enable it by hand:
assert [[1, 1], [2, 2], [3, 3]] == GQ(parallel: true) { from n1 in 1..1000 join n2 in 1..10000 on n2 == n1 where n1 <= 3 && n2 <= 5 select n1, n2}.toList()
As parallel querying will use a shared thread pool, the following code can release resources after all GINQ statements execution are completed, and it will wait util all tasks of threads are completed.
GQ { shutdown}
Onceshutdown is issued, parallel querying can not work anymore. |
The following code is equivalent to the above code, in other words,immediate
is optional:
GQ { shutdown immediate}
Shutdown without waiting tasks to complete:
GQ { shutdown abort}
For advanced users, you could customize GINQ behaviour by specifying your own target code generator.For example, we could specify the qualified class nameorg.apache.groovy.ginq.provider.collection.GinqAstWalker
as the target code generator to generate GINQ method calls for querying collections,which is the default behaviour of GINQ:
assert [0, 1, 2] == GQ(astWalker: 'org.apache.groovy.ginq.provider.collection.GinqAstWalker') { from n in [0, 1, 2] select n}.toList()
GINQ optimizer is enabled by default for better performance. It will transform the GINQ AST to achieve better execution plan.We could disable it by hand:
assert [[2, 2]] == GQ(optimize: false) { from n1 in [1, 2, 3] join n2 in [1, 2, 3] on n1 == n2 where n1 > 1 && n2 < 3 select n1, n2}.toList()
from v in ( from a in 1..9 join b in 1..9 on a <= b select a as f, b as s, "$a * $b = ${a * b}".toString() as r)groupby v.sselect max(v.f == 1 ? v.r : '') as v1, max(v.f == 2 ? v.r : '') as v2, max(v.f == 3 ? v.r : '') as v3, max(v.f == 4 ? v.r : '') as v4, max(v.f == 5 ? v.r : '') as v5, max(v.f == 6 ? v.r : '') as v6, max(v.f == 7 ? v.r : '') as v7, max(v.f == 8 ? v.r : '') as v8, max(v.f == 9 ? v.r : '') as v9
link: the latestGINQ examples
Some examples in the above link require the latest SNAPSHOT version of Groovy to run. |
The most commonly used approach for parsing XML with Groovy is to useone of:
groovy.xml.XmlParser
groovy.xml.XmlSlurper
Both have the same approach to parse an XML. Both come with a bunch ofoverloaded parse methods plus some special methods such asparseText
,parseFile and others. For the next example we will use theparseText
method. It parses an XMLString
and recursively converts it to a listor map of objects.
def text = ''' <list> <technology> <name>Groovy</name> </technology> </list>'''def list = new XmlSlurper().parseText(text)(1)assert list instanceof groovy.xml.slurpersupport.GPathResult(2)assert list.technology.name == 'Groovy'(3)
1 | Parsing the XML an returning the root node as a GPathResult |
2 | Checking we’re using a GPathResult |
3 | Traversing the tree in a GPath style |
def text = ''' <list> <technology> <name>Groovy</name> </technology> </list>'''def list = new XmlParser().parseText(text)(1)assert list instanceof groovy.util.Node(2)assert list.technology.name.text() == 'Groovy'(3)
1 | Parsing the XML an returning the root node as a Node |
2 | Checking we’re using a Node |
3 | Traversing the tree in a GPath style |
Let’s see thesimilarities betweenXMLParser
andXMLSlurper
first:
Both are based onSAX
so they both are low memory footprint
Both can update/transform the XML
But they have keydifferences:
XmlSlurper
evaluates the structure lazily. So if you update the xmlyou’ll have to evaluate the whole tree again.
XmlSlurper
returnsGPathResult
instances when parsing XML
XmlParser
returnsNode
objects when parsing XML
When to use one or the another?
There is a discussion atStackOverflow. Theconclusions written here are based partially on this entry. |
If you want to transform an existing document to another thenXmlSlurper
will be the choice
If you want to update and read at the same time thenXmlParser
isthe choice.
The rationale behind this is that every time you create a node withXmlSlurper
it won’t be available until you parse the document againwith anotherXmlSlurper
instance. Need to read just a few nodesXmlSlurper is for you ".
If you just have to read a few nodesXmlSlurper
should be yourchoice, since it will not have to create a complete structure inmemory"
In general both classes perform similar way. Even the way of usingGPath expressions with them are the same (both usebreadthFirst()
anddepthFirst()
expressions). So I guess it depends on the write/readfrequency.
There is another way of parsing XML documents with Groovy with theuse ofgroovy.xml.dom.DOMCategory
which is a category class whichadds GPath style operations to Java’s DOM classes.
Java has in-built support for DOM processing of XML using classesrepresenting the various parts of XML documents, e.g.Document ,Element ,NodeList ,Attr etc. For more information about these classes,refer to the respective JavaDocs. |
Having an XML like the following:
static def CAR_RECORDS = '''<records> <car name='HSV Maloo' make='Holden' year='2006'> <country>Australia</country> <record type='speed'>Production Pickup Truck with speed of 271kph</record> </car> <car name='P50' make='Peel' year='1962'> <country>Isle of Man</country> <record type='size'>Smallest Street-Legal Car at 99cm wide and 59 kg in weight</record> </car> <car name='Royale' make='Bugatti' year='1931'> <country>France</country> <record type='price'>Most Valuable Car at $15 million</record> </car></records>'''
You can parse it usinggroovy.xml.DOMBuilder
andgroovy.xml.dom.DOMCategory
.
def reader = new StringReader(CAR_RECORDS)def doc = DOMBuilder.parse(reader)(1)def records = doc.documentElementuse(DOMCategory) {(2) assert records.car.size() == 3}
1 | Parsing the XML |
2 | CreatingDOMCategory scope to be able to use helper method calls |
The most common way of querying XML in Groovy is usingGPath
:
GPath is a path expression language integrated into Groovy whichallows parts of nested structured data to be identified. In thissense, it has similar aims and scope as XPath does for XML. The twomain places where you use GPath expressions is when dealing withnested POJOs or when dealing with XML
It is similar toXPathexpressions and you can use it not only with XML but also with POJOclasses. As an example, you can specify a path to an object or elementof interest:
a.b.c
→ for XML, yields all the<c>
elements inside<b>
inside<a>
a.b.c
→ all POJOs, yields the<c>
properties for all the<b>
properties of<a>
(sort of like a.getB().getC() in JavaBeans)
For XML, you can also specify attributes, e.g.:
a["@href"]
→ the href attribute of all the a elements
a.'@href'
→ an alternative way of expressing this
a.@href
→ an alternative way of expressing this when using XmlSlurper
Let’s illustrate this with an example:
static final String books = ''' <response version-api="2.0"> <value> <books> <book available="20"> <title>Don Quixote</title> <author>Miguel de Cervantes</author> </book> <book available="14"> <title>Catcher in the Rye</title> <author>JD Salinger</author> </book> <book available="13"> <title>Alice in Wonderland</title> <author>Lewis Carroll</author> </book> <book available="5"> <title>Don Quixote</title> <author>Miguel de Cervantes</author> </book> </books> </value> </response>'''
First thing we could do is to get a value using POJO’s notation. Let’sget the first book’s author’s name
def response = new XmlSlurper().parseText(books)def authorResult = response.value.books.book[0].authorassert authorResult.text() == 'Miguel de Cervantes'
First we parse the document withXmlSlurper
and then we have toconsider the returning value as the root of the XML document, so inthis case is "response".
That’s why we start traversing the document from response and thenvalue.books.book[0].author
. Note that inXPath
the node arrays startsin [1] instead of [0], but becauseGPath
is Java-based it begins atindex 0.
In the end we’ll have the instance of theauthor
node and because wewanted the text inside that node we should be calling thetext()
method. Theauthor
node is an instance ofGPathResult
type andtext()
a method giving us the content of that node as a String.
When usingGPath
with an XML parsed withXmlSlurper
we’ll have as aresult aGPathResult
object.GPathResult
has many other convenientmethods to convert the text inside a node to any other type such as:
toInteger()
toFloat()
toBigInteger()
…
All these methods try to convert aString
to the appropriate type.
If we were using an XML parsed withXmlParser
we could be dealing withinstances of typeNode
. But still all the actions applied toGPathResult
in these examples could be applied to a Node aswell. Creators of both parsers took into accountGPath
compatibility.
Next step is to get some values from a given node’s attribute. In the following samplewe want to get the first book’s author’s id. We’ll be using two different approaches. Let’s see the code first:
def response = new XmlSlurper().parseText(books)def book = response.value.books.book[0](1)def bookAuthorId1 = book.@id(2)def bookAuthorId2 = book['@id'](3)assert bookAuthorId1 == '1'(4)assert bookAuthorId1.toInteger() == 1(5)assert bookAuthorId1 == bookAuthorId2
1 | Getting the first book node |
2 | Getting the book’s id attribute@id |
3 | Getting the book’s id attribute withmap notation ['@id'] |
4 | Getting the value as a String |
5 | Getting the value of the attribute as anInteger |
As you can see there are two types of notations to get attributes,the
direct notation with@nameoftheattribute
map notation using['@nameoftheattribute']
Both of them are equally valid.
If you ever have used XPath, you may have used expressions like:
/following-sibling::othernode
: Look for a node "othernode" in the same level
//
: Look everywhere
More or less we have their counterparts in GPath with the shortcuts*
(akachildren()
) and**
(akadepthFirst()
).
The first example shows a simple use of*
, which only iterates over the direct children of the node.
def response = new XmlSlurper().parseText(books)// .'*' could be replaced by .children()def catcherInTheRye = response.value.books.'*'.find { node -> // node.@id == 2 could be expressed as node['@id'] == 2 node.name() == 'book' && node.@id == '2'}assert catcherInTheRye.title.text() == 'Catcher in the Rye'
This test searches for any child nodes of the "books" node matching the givencondition. In a bit more detail, the expression says:Look for any node witha tag name equal to 'book' having an id with a value of '2' directly underthe 'books' node.
This operation roughly corresponds to thebreadthFirst()
method, except thatit only stops atone level instead of continuing to the inner levels.
What if we would like to look for a given valuewithout having to know exactly where it is. Let’s say that theonly thing we know is the id of the author "Lewis Carroll" . How arewe going to be able to find that book? Using**
is the solution:
def response = new XmlSlurper().parseText(books)// .'**' could be replaced by .depthFirst()def bookId = response.'**'.find { book -> book.author.text() == 'Lewis Carroll'}.@idassert bookId == 3
**
is the same as looking for somethingeverywhere in thetree from this point down. In this case, we’ve used the methodfind(Closure cl)
to find just the first occurrence.
What if we want to collect all book’s titles? That’s easy, just usefindAll
:
def response = new XmlSlurper().parseText(books)def titles = response.'**'.findAll { node -> node.name() == 'title' }*.text()assert titles.size() == 4
In the last two examples,**
is used as a shortcut for thedepthFirst()
method. It goes as far down the tree as it can while navigating down thetree from a given node. ThebreadthFirst()
method finishes off all nodeson a given level before traversing down to the next level.
The following example shows the difference between these two methods:
def response = new XmlSlurper().parseText(books)def nodeName = { node -> node.name() }def withId2or3 = { node -> node.@id in [2, 3] }assert ['book', 'author', 'book', 'author'] == response.value.books.depthFirst().findAll(withId2or3).collect(nodeName)assert ['book', 'book', 'author', 'author'] == response.value.books.breadthFirst().findAll(withId2or3).collect(nodeName)
In this example, we search for any nodes with an id attribute with value 2 or 3.There are bothbook
andauthor
nodes that match that criteria. The differenttraversal orders will find the same nodes in each case but in different orderscorresponding to how the tree was traversed.
It is worth mentioning again that there are some useful methodsconverting a node’s value to an integer, float, etc. Those methodscould be convenient when doing comparisons like this:
def response = new XmlSlurper().parseText(books)def titles = response.value.books.book.findAll { book -> /* You can use toInteger() over the GPathResult object */ book.@id.toInteger() > 2}*.titleassert titles.size() == 2
In this case the number 2 has been hardcoded but imagine that valuecould have come from any other source (database… etc.).
The most commonly used approach for creating XML with Groovy is to usea builder, i.e. one of:
groovy.xml.MarkupBuilder
groovy.xml.StreamingMarkupBuilder
Here is an example of using Groovy’s MarkupBuilder to create a new XML file:
def writer = new StringWriter()def xml = new MarkupBuilder(writer)(1)xml.records() {(2) car(name: 'HSV Maloo', make: 'Holden', year: 2006) { country('Australia') record(type: 'speed', 'Production Pickup Truck with speed of 271kph') } car(name: 'Royale', make: 'Bugatti', year: 1931) { country('France') record(type: 'price', 'Most Valuable Car at $15 million') }}def records = new XmlSlurper().parseText(writer.toString())(3)assert records.car.first().name.text() == 'HSV Maloo'assert records.car.last().name.text() == 'Royale'
1 | Create an instance ofMarkupBuilder |
2 | Start creating the XML tree |
3 | Create an instance ofXmlSlurper to traverse and test thegenerated XML |
Let’s take a look a little bit closer:
def xmlString = "<movie>the godfather</movie>"(1)def xmlWriter = new StringWriter()(2)def xmlMarkup = new MarkupBuilder(xmlWriter)xmlMarkup.movie("the godfather")(3)assert xmlString == xmlWriter.toString()(4)
1 | We’re creating a reference string to compare against |
2 | ThexmlWriter instance is used byMarkupBuilder to convert thexml representation to a String instance eventually |
3 | ThexmlMarkup.movie(…) call will create an XML node with a tagcalledmovie and with contentthe godfather . |
def xmlString = "<movie id='2'>the godfather</movie>"def xmlWriter = new StringWriter()def xmlMarkup = new MarkupBuilder(xmlWriter)xmlMarkup.movie(id: "2", "the godfather")(1)assert xmlString == xmlWriter.toString()
1 | This time in order to create both attributes and node content youcan create as many map entries as you like and finally add a valueto set the node’s content |
The value could be anyObject , the value will be serialized to itsString representation. |
def xmlWriter = new StringWriter()def xmlMarkup = new MarkupBuilder(xmlWriter)xmlMarkup.movie(id: 2) {(1) name("the godfather")}def movie = new XmlSlurper().parseText(xmlWriter.toString())assert movie.@id == 2assert movie.name.text() == 'the godfather'
1 | A closure represents the children elements of a given node. Noticethis time instead of using a String for the attribute we’re using anumber. |
Sometimes you may want to use a specific namespace in your xml documents:
def xmlWriter = new StringWriter()def xmlMarkup = new MarkupBuilder(xmlWriter)xmlMarkup .'x:movies'('xmlns:x': 'http://www.groovy-lang.org') {(1) 'x:movie'(id: 1, 'the godfather') 'x:movie'(id: 2, 'ronin')}def movies = new XmlSlurper()(2) .parseText(xmlWriter.toString()) .declareNamespace(x: 'http://www.groovy-lang.org')assert movies.'x:movie'.last().@id == 2assert movies.'x:movie'.last().text() == 'ronin'
1 | Creating a node with a given namespacexmlns:x |
2 | Creating aXmlSlurper registering the namespace to be able totest the XML we just created |
What about having some more meaningful example. We may want togenerate more elements, to have some logic when creating our XML:
def xmlWriter = new StringWriter()def xmlMarkup = new MarkupBuilder(xmlWriter)xmlMarkup .'x:movies'('xmlns:x': 'http://www.groovy-lang.org') { (1..3).each { n ->(1) 'x:movie'(id: n, "the godfather $n") if (n % 2 == 0) {(2) 'x:movie'(id: n, "the godfather $n (Extended)") } }}def movies = new XmlSlurper() .parseText(xmlWriter.toString()) .declareNamespace(x: 'http://www.groovy-lang.org')assert movies.'x:movie'.size() == 4assert movies.'x:movie'*.text().every { name -> name.startsWith('the') }
1 | Generating elements from a range |
2 | Using a conditional for creating a given element |
Of course the instance of a builder can be passed as a parameter torefactor/modularize your code:
def xmlWriter = new StringWriter()def xmlMarkup = new MarkupBuilder(xmlWriter)(1)Closure<MarkupBuilder> buildMovieList = { MarkupBuilder builder -> (1..3).each { n -> builder.'x:movie'(id: n, "the godfather $n") if (n % 2 == 0) { builder.'x:movie'(id: n, "the godfather $n (Extended)") } } return builder}xmlMarkup.'x:movies'('xmlns:x': 'http://www.groovy-lang.org') { buildMovieList(xmlMarkup)(2)}def movies = new XmlSlurper() .parseText(xmlWriter.toString()) .declareNamespace(x: 'http://www.groovy-lang.org')assert movies.'x:movie'.size() == 4assert movies.'x:movie'*.text().every { name -> name.startsWith('the') }
1 | In this case we’ve created a Closure to handle the creation of a list of movies |
2 | Just using thebuildMovieList function when necessary |
The classgroovy.xml.StreamingMarkupBuilder
is a builder class forcreating XML markup. This implementation uses agroovy.xml.streamingmarkupsupport.StreamingMarkupWriter
to handleoutput.
def xml = new StreamingMarkupBuilder().bind {(1) records { car(name: 'HSV Maloo', make: 'Holden', year: 2006) {(2) country('Australia') record(type: 'speed', 'Production Pickup Truck with speed of 271kph') } car(name: 'P50', make: 'Peel', year: 1962) { country('Isle of Man') record(type: 'size', 'Smallest Street-Legal Car at 99cm wide and 59 kg in weight') } car(name: 'Royale', make: 'Bugatti', year: 1931) { country('France') record(type: 'price', 'Most Valuable Car at $15 million') } }}def records = new XmlSlurper().parseText(xml.toString())(3)assert records.car.size() == 3assert records.car.find { it.@name == 'P50' }.country.text() == 'Isle of Man'
1 | Note thatStreamingMarkupBuilder.bind returns aWritable instance that may be used to stream the markup to a Writer |
2 | We’re capturing the output in a String to parse it again and checkthe structure of the generated XML withXmlSlurper . |
Thegroovy.xml.MarkupBuilderHelper
is, as its name reflects, ahelper forgroovy.xml.MarkupBuilder
.
This helper normally can be accessed from within an instance of classgroovy.xml.MarkupBuilder
or an instance ofgroovy.xml.StreamingMarkupBuilder
.
This helper could be handy in situations when you may want to:
Produce a comment in the output
Produce an XML processing instruction in the output
Produce an XML declaration in the output
Print data in the body of the current tag, escaping XML entities
Print data in the body of the current tag
In bothMarkupBuilder
andStreamingMarkupBuilder
this helper isaccessed by the propertymkp
:
def xmlWriter = new StringWriter()def xmlMarkup = new MarkupBuilder(xmlWriter).rules { mkp.comment('THIS IS THE MAIN RULE')(1) rule(sentence: mkp.yield('3 > n'))(2)}(3)assert xmlWriter.toString().contains('3 > n')assert xmlWriter.toString().contains('<!-- THIS IS THE MAIN RULE -->')
1 | Usingmkp to create a comment in the XML |
2 | Usingmkp to generate an escaped value |
3 | Checking both assumptions were true |
Here is another example to show the use ofmkp
property accessiblefrom within thebind
method scope when usingStreamingMarkupBuilder
:
def xml = new StreamingMarkupBuilder().bind { records { car(name: mkp.yield('3 < 5'))(1) car(name: mkp.yieldUnescaped('1 < 3'))(2) }}assert xml.toString().contains('3 < 5')assert xml.toString().contains('1 < 3')
1 | If we want to generate an escaped value for the name attribute withmkp.yield |
2 | Checking the values later on withXmlSlurper |
Suppose we have an existing XML document and we want to automategeneration of the markup without having to type it all in? We justneed to useorg.codehaus.groovy.tools.xml.DOMToGroovy
as shown inthe following example:
def songs = """ <songs> <song> <title>Here I go</title> <band>Whitesnake</band> </song> </songs>"""def builder = javax.xml.parsers.DocumentBuilderFactory.newInstance().newDocumentBuilder()def inputStream = new ByteArrayInputStream(songs.bytes)def document = builder.parse(inputStream)def output = new StringWriter()def converter = new DomToGroovy(new PrintWriter(output))(1)converter.print(document)(2)String xmlRecovered = new GroovyShell() .evaluate(""" def writer = new StringWriter() def builder = new groovy.xml.MarkupBuilder(writer) builder.${output} return writer.toString() """)(3)assert new XmlSlurper().parseText(xmlRecovered).song.title.text() == 'Here I go'(4)
1 | CreatingDOMToGroovy instance |
2 | Converts the XML toMarkupBuilder calls which are available in the outputStringWriter |
3 | Usingoutput variable to create the whole MarkupBuilder |
4 | Back to XML string |
In this chapter you’ll see the different ways of adding / modifying /removing nodes usingXmlSlurper
orXmlParser
. The xml we are goingto be handling is the following:
def xml = """<response version-api="2.0"> <value> <books> <book> <title>Don Quixote</title> <author>Miguel de Cervantes</author> </book> </books> </value></response>"""
The main difference betweenXmlSlurper
andXmlParser
is that whenformer creates the nodes they won’t be available until the document’sbeen evaluated again, so you should parse the transformed documentagain in order to be able to see the new nodes. So keep that in mindwhen choosing any of both approaches.
If you needed to see a node right after creating it thenXmlParser
should be your choice, but if you’re planning to do many changes tothe XML and send the result to another process maybeXmlSlurper
wouldbe more efficient.
You can’t create a new node directly using theXmlSlurper
instance,but you can withXmlParser
. The way of creating a new node fromXmlParser is through its methodcreateNode(..)
def parser = new XmlParser()def response = parser.parseText(xml)def numberOfResults = parser.createNode( response, new QName("numberOfResults"), [:])numberOfResults.value = "1"assert response.numberOfResults.text() == "1"
ThecreateNode()
method receives the following parameters:
parent node (could be null)
The qualified name for the tag (In this case we only use the localpart without any namespace). We’re using an instance ofgroovy.namespace.QName
A map with the tag’s attributes (None in this particular case)
Anyway you won’t normally be creating a node from the parser instancebut from the parsed XML instance. That is from aNode
or aGPathResult
instance.
Take a look at the next example. We are parsing the xml withXmlParser
and then creating a new node from the parsed document’s instance(Notice the method here is slightly different in the way it receivesthe parameters):
def parser = new XmlParser()def response = parser.parseText(xml)response.appendNode( new QName("numberOfResults"), [:], "1")response.numberOfResults.text() == "1"
When usingXmlSlurper
,GPathResult
instances don’t havecreateNode()
method.
We know how to parse the document, add new nodes, now I want to changea given node’s content. Let’s start usingXmlParser
andNode
. Thisexample changes the first book information to actually another book.
def response = new XmlParser().parseText(xml)/* Use the same syntax as groovy.xml.MarkupBuilder */response.value.books.book[0].replaceNode {(1) book(id: "3") { title("To Kill a Mockingbird") author(id: "3", "Harper Lee") }}def newNode = response.value.books.book[0]assert newNode.name() == "book"assert newNode.@id == "3"assert newNode.title.text() == "To Kill a Mockingbird"assert newNode.author.text() == "Harper Lee"assert newNode.author.@id.first() == "3"
When usingreplaceNode()
the closure we pass as parameter shouldfollow the same rules as if we were usinggroovy.xml.MarkupBuilder
:
Here’s the same example usingXmlSlurper
:
def response = new XmlSlurper().parseText(books)/* Use the same syntax as groovy.xml.MarkupBuilder */response.value.books.book[0].replaceNode { book(id: "3") { title("To Kill a Mockingbird") author(id: "3", "Harper Lee") }}assert response.value.books.book[0].title.text() == "Don Quixote"/* That mkp is a special namespace used to escape away from the normal building mode of the builder and get access to helper markup methods 'yield', 'pi', 'comment', 'out', 'namespaces', 'xmlDeclaration' and 'yieldUnescaped' */def result = new StreamingMarkupBuilder().bind { mkp.yield response }.toString()def changedResponse = new XmlSlurper().parseText(result)assert changedResponse.value.books.book[0].title.text() == "To Kill a Mockingbird"
Notice how usingXmlSlurper
we have to parse the transformed documentagain in order to find the created nodes. In this particular examplecould be a little bit annoying isn’t it?
Finally both parsers also use the same approach for adding a newattribute to a given attribute. This time again the difference iswhether you want the new nodes to be available right away ornot. FirstXmlParser
:
def parser = new XmlParser()def response = parser.parseText(xml)response.@numberOfResults = "1"assert response.@numberOfResults == "1"
AndXmlSlurper
:
def response = new XmlSlurper().parseText(books)response.@numberOfResults = "2"assert response.@numberOfResults == "2"
When usingXmlSlurper
, adding a new attribute doesnot require you to perform a new evaluation.
Sometimes is useful to get not only the value of a given node but thenode itself (for instance to add this node to another XML).
For that you can usegroovy.xml.XmlUtil
class. It has several staticmethods to serialize the xml fragment from several type of sources(Node, GPathResult, String…)
def response = new XmlParser().parseText(xml)def nodeToSerialize = response.'**'.find { it.name() == 'author' }def nodeAsText = XmlUtil.serialize(nodeToSerialize)assert nodeAsText == XmlUtil.serialize('<?xml version="1.0" encoding="UTF-8"?><author>Miguel de Cervantes</author>')
Groovy has an optionalgroovy-yaml
module which provides support for converting between Groovy objects and YAML. The classes dedicated toYAML serialisation and parsing are found in thegroovy.yaml
package.
YamlSlurper
is a class that parses YAML text or reader content into Groovy data structures (objects) such as maps, lists andprimitive types likeInteger
,Double
,Boolean
andString
.
The class comes with a bunch of overloadedparse
methods plus some special methods such asparseText
and others. For the next example we will use theparseText
method. It parses a YAMLString
and recursively converts it to alist or map of objects. The otherparse*
methods are similar in that they return a YAMLString
but for different parametertypes.
def ys = new YamlSlurper() def yaml = ys.parseText '''language: groovysudo: requireddist: trustymatrix: include: - jdk: openjdk10 - jdk: oraclejdk9 - jdk: oraclejdk8before_script: - | unset _JAVA_OPTIONS ''' assert 'groovy' == yaml.language assert 'required' == yaml.sudo assert 'trusty' == yaml.dist assert ['openjdk10', 'oraclejdk9', 'oraclejdk8'] == yaml.matrix.include.jdk assert ['unset _JAVA_OPTIONS'] == yaml.before_script*.trim()
Notice the result is a plain map and can be handled like a normal Groovy object instance.YamlSlurper
parses thegiven YAML as defined by theYAML Ain’t Markup Language (YAML™).
AsYamlSlurper
is returning pure Groovy object instances without any special YAML classes in the back, its usageis transparent. In fact,YamlSlurper
results conform to GPath expressions. GPath is a powerful expression languagethat is supported by multiple slurpers for different data formats (XmlSlurper
for XML being one example).
For more details please have a look at the section onGPath expressions. |
The following table gives an overview of the YAML types and the corresponding Groovy data types:
YAML | Groovy |
---|---|
string |
|
number |
|
object |
|
array |
|
true |
|
false |
|
null |
|
date |
|
Whenever a value in YAML isnull ,YamlSlurper supplements it with the Groovynull value. This is in contrast to otherYAML parsers that represent anull value with a library-provided singleton object. |
Another way to create YAML from Groovy is to useYamlBuilder
. The builder provide aDSL which allows to formulate an object graph which is then converted to YAML.
def builder = new YamlBuilder() builder.records { car { name 'HSV Maloo' make 'Holden' year 2006 country 'Australia' homepage new URL('http://example.org') record { type 'speed' description 'production pickup truck with speed of 271kph' } } } assert builder.toString() == '''---records: car: name: "HSV Maloo" make: "Holden" year: 2006 country: "Australia" homepage: "http://example.org" record: type: "speed" description: "production pickup truck with speed of 271kph"'''
Groovy has an optionalgroovy-toml
module which provides support for converting between Groovy objects and TOML. The classes dedicated toTOML serialisation and parsing are found in thegroovy.toml
package.
TomlSlurper
is a class that parses TOML text or reader content into Groovy data structures (objects) such as maps, lists andprimitive types likeInteger
,Double
,Boolean
andString
.
The class comes with a bunch of overloadedparse
methods plus some special methods such asparseText
and others. For the next example we will use theparseText
method. It parses a TOMLString
and recursively converts it to alist or map of objects. The otherparse*
methods are similar in that they return a TOMLString
but for different parametertypes.
def ts = new TomlSlurper() def toml = ts.parseText '''language = "groovy"sudo = "required"dist = "trusty"before_script = [ "unset _JAVA_OPTIONS\\n\\n \\n" ][[matrix.include]]jdk = "openjdk10"[[matrix.include]]jdk = "oraclejdk9"[[matrix.include]]jdk = "oraclejdk8"''' assert 'groovy' == toml.language assert 'required' == toml.sudo assert 'trusty' == toml.dist assert ['openjdk10', 'oraclejdk9', 'oraclejdk8'] == toml.matrix.include.jdk assert ['unset _JAVA_OPTIONS'] == toml.before_script*.trim()
Notice the result is a plain map and can be handled like a normal Groovy object instance.TomlSlurper
parses thegiven TOML as defined by theTom’s Obvious, Minimal Language.
AsTomlSlurper
is returning pure Groovy object instances without any special TOML classes in the back, its usageis transparent. In fact,TomlSlurper
results conform to GPath expressions. GPath is a powerful expression languagethat is supported by multiple slurpers for different data formats (XmlSlurper
for XML being one example).
For more details please have a look at the section onGPath expressions. |
The following table gives an overview of the TOML types and the corresponding Groovy data types:
TOML | Groovy |
---|---|
string |
|
number |
|
object |
|
array |
|
true |
|
false |
|
null |
|
date |
|
Whenever a value in TOML isnull ,TomlSlurper supplements it with the Groovynull value. This is in contrast to otherTOML parsers that represent anull value with a library-provided singleton object. |
Another way to create TOML from Groovy is to useTomlBuilder
. The builder provide aDSL which allows to formulate an object graph which is then converted to TOML.
def builder = new TomlBuilder() builder.records { car { name 'HSV Maloo' make 'Holden' year 2006 country 'Australia' homepage new URL('http://example.org') record { type 'speed' description 'production pickup truck with speed of 271kph' } } } assert builder.toString() == '''\records.car.name = 'HSV Maloo'records.car.make = 'Holden'records.car.year = 2006records.car.country = 'Australia'records.car.homepage = 'http://example.org'records.car.record.type = 'speed'records.car.record.description = 'production pickup truck with speed of 271kph''''
This module provides contract annotations that support the specification of class-invariants,pre- and post-conditions on Groovy classes and interfaces.Special support is provided so that post-conditions may refer to the old value of variablesor to the result value associated with calling a method.
With GContracts in your class-path, contracts can be applied on a Groovy class or interface by using one of the assertions found in package org.gcontracts.annotations.
package acmeimport groovy.contracts.*@Invariant({ speed() >= 0 })class Rocket { int speed = 0 boolean started = true @Requires({ isStarted() }) @Ensures({ old.speed < speed }) def accelerate(inc) { speed += inc } def isStarted() { started } def speed() { speed }}def r = new Rocket()r.accelerate(5)
GContracts supports the following feature set:
definition of class invariants, pre- and post-conditions via @Invariant, @Requires and @Ensures
inheritance of class invariants, pre- and post-conditions of concrete predecessor classes
inheritance of class invariants, pre- and post-conditions in implemented interfaces
usage of old and result variable in post-condition assertions
assertion injection in Plain Old Groovy Objects (POGOs)
human-readable assertion messages, based on Groovy power asserts
enabling contracts at package- or class-level with @AssertionsEnabled
enable or disable contract checking with Java’s -ea and -da VM parameters
annotation contracts: a way to reuse reappearing contract elements in a project domain model
detection of circular assertion method calls
Currently, Groovy contracts supports 3 annotations: @Invariant, @Requires and @Ensures – all of them workas annotations with closures, where closures allow you to specify arbitrary code pieces as annotation parameters:
@Grab(group='org.apache.groovy', module='groovy-contracts', version='4.0.0')import groovy.contracts.*@Invariant({ elements != null })class Stack<T> { List<T> elements @Ensures({ is_empty() }) def Stack() { elements = [] } @Requires({ preElements?.size() > 0 }) @Ensures({ !is_empty() }) def Stack(List<T> preElements) { elements = preElements } boolean is_empty() { elements.isEmpty() } @Requires({ !is_empty() }) T last_item() { elements.get(count() - 1) } def count() { elements.size() } @Ensures({ result == true ? count() > 0 : count() >= 0 }) boolean has(T item) { elements.contains(item) } @Ensures({ last_item() == item }) def push(T item) { elements.add(item) } @Requires({ !is_empty() }) @Ensures({ last_item() == item }) def replace(T item) { remove() elements.add(item) } @Requires({ !is_empty() }) @Ensures({ result != null }) T remove() { elements.remove(count() - 1) } String toString() { elements.toString() }}def stack = new Stack<Integer>()
The example above specifies a class-invariant and methods with pre- and post-conditions.Note, that preconditions may reference method arguments and post-conditions have accessto the method’s result with the result variable and old instance variables values with old.
Indeed, Groovy AST transformations change these assertion annotations into Java assertionstatements (can be turned on and off with a JVM param) and inject them at appropriate places,e.g. class-invariants are used to check an object’s state before and after each method call.
Groovy integrates very well withApache Ant thanks toAntBuilder.
<groovy>
Here we describe an Ant task for using Groovyfrom within an Ant build file.You may also be interested inAnt’s built-inscript taskwhich supports Groovy and other languages, orAntBuilder which lets you write Ant build scriptsin Groovy rather than XML. |
Executes a series of Groovy statements fromApache Ant.Statements can either be read in from a resource or as direct text between the enclosing Groovy tags.
Assuming all the groovy jars you need are inmy.classpath (this will begroovy-VERSION.jar
,groovy-ant-VERSION.jar
plus any modules and transitive dependencies you might be using)you will need to declare this task at some point in thebuild.xml
prior tothegroovy
task being invoked.
<taskdef name="groovy" classname="org.codehaus.groovy.ant.Groovy" classpathref="my.classpath"/>
You can simply place statements between thegroovy
tags like this:
<groovy>...</groovy>
Or you can supply the Groovy source script as a resource. You can specify the pathname using thesrc
attribute like this:
<groovy src="/some/path/MyGroovyScript.groovy" otherAttributes="...">
Or as a nestedfileset
like this (though the fileset definition is expected to select just one file):
<groovy> <fileset file="MyGroovyScript.groovy"/></groovy>
Or as a nested single elementresource collection which could look like any of these:
<groovy> <file file="MyGroovyScript.groovy"/></groovy><groovy> <url url="https://some.domain/some/path/to/MyGroovyScript.groovy"/></groovy><groovy> <javaconstant name="some.packagename.SomeClass.MY_CODE_FRAGMENT"/></groovy>
You may also supply afilter chain like this:
<groovy> <fileset file="MyGroovyScript.groovy"/> <!-- take 5 lines after skipping 18 lines, just as an example --> <filterchain> <headfilter lines="5" skip="18"/> </filterchain></groovy>
You might need to use thecontextClassLoader attribute (see below) if any of your modules load services via the classpath, e.g.groovy-json
.
Attribute | Description | Required |
---|---|---|
src | File containing Groovy statements. The directory containing the file is added to the classpath. | Yes, unless statements enclosed within tags |
classpath | The classpath to use. | No |
classpathref | The classpath to use, given as reference to a PATH defined elsewhere. | No |
output | Set the output file; defaults to the Ant log. | No |
append | If enabled and output is to a file, append to existing file rather than overwrite. Defaults to false. | No |
fork | If enabled the script will be executed in a forked JVM process (disabled by default). | No |
scriptBaseClass | The name of the base class for scripts. | No |
parameters | Generates metadata for reflection on method parameter names on JDK 8 and above. Defaults to false. | No |
useGroovyShell | If enabled a new GroovyShell is used to run the script. Special variables won’t be available but you don’t need Ant in the classpath. Defaults to false. | No |
includeAntRuntime | If enabled the system classpath will be included on the classpath when forking. Defaults to true. | No |
stacktrace | If enabled a stacktrace will be reported if an error occurs during compilation. Defaults to false. | No |
configScript | Sets the configuration script for the groovy compiler configuration. | No |
contextClassLoader | If enabled, the contextClassLoader to be set with the classLoader of the shell used to run the script. Not used if fork is true. | No |
Groovy’s classpath attribute is a PATH like structure and can also be set via a nested classpath element.
Arguments can be set via one or more nested <arg> elements using the standard Antcommand line conventions.
A number of bindings are in scope for use within your Groovy statements.
Name | Description |
---|---|
ant | an instance of |
project | the current ant project |
properties | a |
target | the owning target that invoked this groovy script |
task | the wrapping task, can access anything needed in |
args | command line arguments, if any |
Hello world, version 1:
<groovy>println "Hello World"</groovy>
Hello world, version 2:
<groovy>ant.echo "Hello World"</groovy>
List all xml files in the current directory:
<groovy>xmlfiles = new File(".").listFiles().findAll{ it =~ "\.xml$" }xmlfiles.sort().each { println it.toString() }</groovy>
List all xml files within a jar:
<zipfileset src="foobar.jar" includes="**/*.xml"/><groovy> project.references.found.each { println it.name }</groovy>
Run a script:
<groovy src="/some/directory/some/file.groovy"> <classpath> <pathelement location="/my/groovy/classes/directory"/> </classpath></groovy>
Find allBuilder
classes having anorg.*
package within a directory of jars:
<property name="local.target" value="C:/Projects/GroovyExamples"/><groovy>import java.util.jar.JarFiledef classes = []def resourceNamePattern = /org\/.*\/.*Builder.class/def jarNamePattern = /.*(beta|commons).*jar$/def libdir = new File("${properties['local.target']}/lib")libdir.listFiles().grep(~jarNamePattern).each { candidate -> new JarFile(candidate).entries().each { entry -> if (entry.name ==~ resourceNamePattern) classes += entry.name }}properties["builder-classes"] = classes.join(' ')</groovy><echo message='${builder-classes}'/>
Which might result in something like:
org/apache/commons/cli/PatternOptionBuilder.class org/apache/commons/cli/OptionBuilder.class org/codehaus/groovy/tools/groovydoc/GroovyRootDocBuilder.class org/custommonkey/xmlunit/HTMLDocumentBuilder.class org/custommonkey/xmlunit/TolerantSaxDocumentBuilder.class
FileScanner version of above (with a slight variation on collecting the names):
<groovy>import java.util.jar.JarFiledef resourceNamePattern = /org\/.*\/.*Builder.class/def candidates = ant.fileScanner { fileset(dir: '${local.target}/lib') { include(name: '*beta*.jar') include(name: '*commons*.jar') }}def classes = candidates.collect { new JarFile(it).entries().collect { it.name }.findAll { it ==~ resourceNamePattern }}.flatten()properties["builder-classes"] = classes.join(' ')</groovy>
Calling out to a web service from your Ant script:
<?xml version="1.0" encoding="UTF-8"?><project name="SOAP example" default="main" basedir="."> <property environment="env"/> <property name="celsius" value="0"/> <target name="main"> <taskdef name="groovy" classname="org.codehaus.groovy.ant.Groovy"> <classpath> <fileset dir="${env.GROOVY_HOME}" includes="lib/groovy-*.jar,lib/ivy*.jar"/> </classpath> </taskdef> <groovy> @Grab('org.codehaus.groovy.modules:groovyws:0.5.1') import groovyx.net.ws.WSClient def url = 'http://www.w3schools.com/webservices/tempconvert.asmx?WSDL' def proxy = new WSClient(url, this.class.classLoader) proxy.initialize() ant.echo "I'm freezing at ${properties.celsius} degrees Celsius" properties.result = proxy.CelsiusToFahrenheit(properties.celsius) </groovy> <antcall/> </target> <target name="results"> <echo message="I'm freezing at ${result} degrees Fahrenheit"/> </target></project>
Which will output the following (along with some informational messages):
main: ... [echo] I'm freezing at 0 degrees Celsiusresults: [echo] I'm freezing at 32 degrees FahrenheitBUILD SUCCESSFUL
Setting arguments:
<target name="run"> <groovy> <arg line="1 2 3"/> <arg value="4 5"/> println args.size() println args[2] args.each{ ant.echo(message:it) } </groovy></target>
Output:
Buildfile: build.xmlrun: [groovy] 4 [groovy] 3 [echo] 1 [echo] 2 [echo] 3 [echo] 4 5BUILD SUCCESSFUL
<groovyc>
Compiles Groovy source files and, if joint compilation option is used, Java source files fromApache Ant.
Assuming the groovy jars are ingroovy.libs, you will need to declare this taskat some point in thebuild.xml
prior to thegroovyc
task being invoked.Consider also adding any additional Groovy module jars, libraries and potentially transitive dependencies you might be using.
<taskdef name="groovyc" classname="org.codehaus.groovy.ant.Groovyc"> <classpath> <fileset file="${groovy.libs}/groovy-ant-VERSION.jar"/> <fileset file="${groovy.libs}/groovy-VERSION.jar"/> </classpath></taskdef>
Attribute | Description | Required |
---|---|---|
srcdir | Location of the Groovy (and possibly Java) source files. | Yes |
destdir | Location to store the class files. | Yes |
classpath | The classpath to use. | No |
classpathref | The classpath to use given as a path references. | No |
sourcepath | The sourcepath to use. | No |
sourcepathref | The sourcepath to use given as a path reference. | No |
encoding | Encoding of source files. | No |
verbose | Asks the compiler for verbose output; defaults to no. | No |
includeAntRuntime | Whether to include the Ant run-time libraries in theclasspath; defaults to yes. | No |
includeJavaRuntime | Whether to include the default run-time librariesfrom the executing VM in the classpath; defaults to no. | No |
includeDestClasses | This property controls whether to include the destinationclasses directory in the classpath given to the compiler. The default value is "true". | No |
fork | Whether to execute groovyc using a spawned instance of the JVM;defaults to no. | No |
memoryInitialSize | The initial size of the memory for the underlyingVM, if using fork mode; ignored otherwise. Defaults to the standard VMmemory setting. (Examples: 83886080, 81920k, or 80m) | No |
memoryMaximumSize | The maximum size of the memory for the underlyingVM, if using fork mode; ignored otherwise. Defaults to the standard VMmemory setting. (Examples: 83886080, 81920k, or 80m) | No |
failonerror | Indicates whether compilation errors will fail the build;defaults to true. | No |
proceed | Inverse alias forfailonerror. | No |
listfiles | Indicates whether the source files to be compiled will belisted; defaults to no. | No |
stacktrace | if true each compile error message will contain astacktrace | No |
indy | Enable compilation with the ``invoke dynamic'' support when usingGroovy 2.0 and beyond and running on JDK 7 | No |
scriptBaseClass | Sets the base class for Groovy scripts | No |
stubdir | Set the stub directory into which the Java source stub files should be generated.The directory need not exist and will not be deleted automatically - though its contentswill be cleared unless 'keepStubs' is true. Ignored when forked. | No |
keepStubs | Set the keepStubs flag. Defaults to false. Set to true for debugging.Ignored when forked. | No |
forceLookupUnnamedFiles | The Groovyc Ant task is frequently used in the context of a build systemthat knows the complete list of source files to be compiled. In such acontext, it is wasteful for the Groovy compiler to go searching theclasspath when looking for source files and hence by default theGroovyc Ant task calls the compiler in a special mode with such searchingturned off. If you wish the compiler to search for source files thenyou need to set this flag to true. Defaults to false. | No |
configscript | Set the configuration file used to customize the compilation configuration. | No |
parameters | Generates metadata for reflection on method parameter names on JDK 8 and above.Defaults to false. | No |
previewFeatures | Enables the JEP preview features on JDK 12 and above.Defaults to false. | No |
targetBytecode | Sets the bytecode compatibility level. | No |
javahome | Sets the | No |
executable | Sets the name of the java executable to use when invoking the compiler in forked mode,ignored otherwise. | No |
scriptExtension | Set the extension to use when searching for Groovy source files.Accepts extensions in the form *.groovy, .groovy or groovy. | No |
updatedProperty | The property to set on compilation success. This property will not be set ifthe compilation fails, or if there are no files to compile. | No |
errorProperty | The property to set on compilation failure. This property will be set ifthe compilation fails. | No |
Example:
<path> <fileset dir="${groovy.libs}" includes="*.jar" excludes="groovy-ant-*.jar"/> ...</path><groovyc srcdir="${dir.sources}" destdir="${dir.classes}" classpathref="classpath.main" fork="true" includeantruntime="false" configscript="config.groovy" targetBytecode="1.8"/>
element | kind | Required | Replaces Attribute |
---|---|---|---|
src | a path structure | Yes (unless srcdir is used) | srcdir |
classpath | a path structure | No | classpath or classpathref |
javac | javac task | No | N/A |
Notes:
For path structures see for examplehttps://ant.apache.org/manual/using.html#path
For usages of thejavac
task seehttps://ant.apache.org/manual/Tasks/javac.html
The nestedjavac
task behaves more or less as documented for the top-leveljavac
task.srcdir
,destdir
,fork
,memoryInitialSize
, andmemoryMaximumSize
for the nestedjavac
task are taken from the enclosinggroovyc
task.If these attributes or any else that are not explicitly supported are specified then awarning is logged, and they are ignored completely.classpath
andclasspathref
specified on the nestedjavac
task is merged withthe values taken from the enclosinggroovyc
task and also used for the Groovy compilation.Nested inside the nestedjavac
task the only element supported iscompilerarg
,and this only with thevalue
attribute, which is treated like theline
attribute of thetop-leveljavac
task, i.e. it is split by spaces into separate arguments.Only arguments starting with-W
,-X
, or-proc:
are properly translated as needed.Anything else is supplied as-is to groovyc and has to be manually prefixed with-F
or-J
.
Joint compilation is enabled by using an embeddedjavac
element, as shown in the following example:
<groovyc srcdir="${testSourceDirectory}" destdir="${testClassesDirectory}" targetBytecode="1.8"> <classpath> <pathelement path="${mainClassesDirectory}"/> <pathelement path="${testClassesDirectory}"/> <path refid="testPath"/> </classpath> <javac debug="true" source="1.8" /></groovyc>
More details about joint compilation can be found in thejoint compilation section.
Groovy supports multiple ways to generate text dynamically includingGStrings
,printf
andMarkupBuilder just to name a few.In addition to these, there is a dedicated template framework which is well-suited to applications where the text to be generated follows the form of a static template.
The template framework in Groovy consists of aTemplateEngine
abstract base class that engines must implementand aTemplate
interface that the resulting templates they generate must implement.
Included with Groovy are several template engines:
SimpleTemplateEngine
- for basic templates
StreamingTemplateEngine
- functionally equivalent toSimpleTemplateEngine
, but can handle strings larger than 64k
GStringTemplateEngine
- stores the template as writeable closures (useful for streaming scenarios)
XmlTemplateEngine
- works well when the template and output are valid XML
MarkupTemplateEngine
- a very complete, optimized, template engine
Shown here is theSimpleTemplateEngine
that allows you to use JSP-like scriptlets (see example below), script, and EL expressionsin your template in order to generate parametrized text. Here is an example of using the system:
def text = 'Dear "$firstname $lastname",\nSo nice to meet you in <% print city %>.\nSee you in ${month},\n${signed}'def binding = ["firstname":"Sam", "lastname":"Pullara", "city":"San Francisco", "month":"December", "signed":"Groovy-Dev"]def engine = new groovy.text.SimpleTemplateEngine()def template = engine.createTemplate(text).make(binding)def result = 'Dear "Sam Pullara",\nSo nice to meet you in San Francisco.\nSee you in December,\nGroovy-Dev'assert result == template.toString()
While it is generally not deemed good practice to mix processing logic in your template (or view), sometimes very simple logic can be useful.E.g. in the example above, we could change this:
$firstname
to this (assuming we have set up a static import for capitalizeinside the template):
${firstname.capitalize()}
or this:
<% print city %>
to this:
<% print city == "New York" ? "The Big Apple" : city %>
If you happen to be embedding your template directly in your script (as we did above) you have to be careful about backslash escaping.Because the template string itself will be parsed by Groovy before it is passed to the templating framework, you have toescape any backslashes inside GString expressions or scriptlet 'code' that are entered as part of a Groovy program.E.g. if we wanted quotes aroundThe Big Apple above, we would use:
<% print city == "New York" ? "\\"The Big Apple\\"" : city %>
Similarly, if we wanted a newline, we would use:
\\n
in any GString expression or scriptlet 'code' that appears inside a Groovy script. A normal “\n” is fine withinthe static template text itself or if the entire template itself is in an external template file.Similarly, to represent an actual backslash in your text you would need
\\\\
in an external file or
\\\\
in any GString expression or scriptlet 'code'. (Note: the necessity to have this extra slash may go awayin a future version of Groovy if we can find an easy way to support such a change.)
TheStreamingTemplateEngine
engine is functionally equivalent to theSimpleTemplateEngine
,but creates the template using writable closures making it more scalable for large templates.Specifically this template engine can handle strings larger than 64k.
It uses JSP style <% %> script and <%= %> expression syntax or GString style expressions.The variable 'out' is bound to the writer that the template is being written to.
Frequently, the template source will be a file but here we show a simple example providing the template as a string:
def text = '''\Dear <% out.print firstname %> ${lastname},We <% if (accepted) out.print 'are pleased' else out.print 'regret' %> \to inform you that your paper entitled'$title' was ${ accepted ? 'accepted' : 'rejected' }.The conference committee.'''def template = new groovy.text.StreamingTemplateEngine().createTemplate(text)def binding = [ firstname : "Grace", lastname : "Hopper", accepted : true, title : 'Groovy for COBOL programmers']String response = template.make(binding)assert response == '''Dear Grace Hopper,We are pleased to inform you that your paper entitled'Groovy for COBOL programmers' was accepted.The conference committee.'''
As an example of using theGStringTemplateEngine
, here is the example above done again (with a few changes to show some other options).First we will store the template in a file this time:
Dear "$firstname $lastname",So nice to meet you in <% out << (city == "New York" ? "\\"The Big Apple\\"" : city) %>.See you in ${month},${signed}
Note that we usedout
instead ofprint
to support the streaming nature ofGStringTemplateEngine
.Because we have the template in a separate file, there is no need to escape the backslashes. Here is how we call it:
def f = new File('test.template')def engine = new groovy.text.GStringTemplateEngine()def template = engine.createTemplate(f).make(binding)println template.toString()
and here is the output:
Dear "Sam Pullara",So nice to meet you in "The Big Apple".See you in December,Groovy-Dev
XmlTemplateEngine
for use in templating scenarios where both the template source and the expected output are intended to be XML.Templates may use the normal${expression}
and$variable
notations to insert an arbitrary expression into the template.In addition, support is also provided for special tags:<gsp:scriptlet>
(for inserting code fragments) and<gsp:expression>
(for code fragments which produce output).
Comments and processing instructions will be removed as part of processing and special XML characters suchas<
,>
,"
and'
will be escaped using the respective XML notation.The output will also be indented using standard XML pretty printing.
The xmlns namespace definition for gsp: tags will be removed but other namespace definitions will be preserved(but may change to an equivalent position within the XML tree).
Normally, the template source will be in a file but here is a simple example providing the XML template as a string:
def binding = [firstname: 'Jochen', lastname: 'Theodorou', nickname: 'blackdrag', salutation: 'Dear']def engine = new groovy.text.XmlTemplateEngine()def text = '''\ <document xmlns:gsp='http://groovy.codehaus.org/2005/gsp' xmlns:foo='baz' type='letter'> <gsp:scriptlet>def greeting = "${salutation}est"</gsp:scriptlet> <gsp:expression>greeting</gsp:expression> <foo:to>$firstname "$nickname" $lastname</foo:to> How are you today? </document>'''def template = engine.createTemplate(text).make(binding)println template.toString()
This example will produce this output:
<document type='letter'> Dearest <foo:to xmlns:foo='baz'> Jochen "blackdrag" Theodorou </foo:to> How are you today?</document>
This template engine is a template engine primarily aimed at generating XML-like markup (XML, XHTML, HTML5, …), but thatcan be used to generate any text based content. Unlike traditional template engines, this one relies on a DSL that uses thebuilder syntax. Here is a sample template:
xmlDeclaration()cars { cars.each { car(make: it.make, model: it.model) }}
If you feed it with the following model:
model = [cars: [new Car(make: 'Peugeot', model: '508'), new Car(make: 'Toyota', model: 'Prius')]]
It would be rendered as:
<?xml version='1.0'?><cars><car make='Peugeot' model='508'/><car make='Toyota' model='Prius'/></cars>
The key features of this template engine are:
amarkup builder like syntax
templates are compiled into bytecode
fast rendering
optional type checking of the model
includes
internationalization support
fragments/layouts
Templates consist of Groovy code. Let’s explore the first example more thoroughly:
xmlDeclaration()(1)cars {(2) cars.each {(3) car(make: it.make, model: it.model)(4) }(5)}
1 | renders the XML declaration string. |
2 | opens acars tag |
3 | cars is a variable found in thetemplate model, which is a list ofCar instances |
4 | for each item, we create acar tag with the attributes from theCar instance |
5 | closes thecars tag |
As you can see, regular Groovy code can be used in the template. Here, we are callingeach
on a list (retrieved from the model), allowing us torender onecar
tag per entry.
In a similar fashion, rendering HTML code is as simple as this:
yieldUnescaped '<!DOCTYPE html>'(1)html(lang:'en') {(2) head {(3) meta('http-equiv':'"Content-Type" content="text/html; charset=utf-8"')(4) title('My page')(5) }(6) body {(7) p('This is an example of HTML contents')(8) }(9)}(10)
1 | renders the HTML doctype special tag |
2 | opens thehtml tag with an attribute |
3 | opens thehead tag |
4 | renders ameta tag with onehttp-equiv attribute |
5 | renders thetitle tag |
6 | closes thehead tag |
7 | opens thebody tag |
8 | renders ap tag |
9 | closes thebody tag |
10 | closes thehtml tag |
The output is straightforward:
<!DOCTYPE html><html lang='en'><head><meta http-equiv='"Content-Type" content="text/html; charset=utf-8"'/><title>My page</title></head><body><p>This is an example of HTML contents</p></body></html>
With someconfiguration, you can have the output pretty printed, with newlines and indent automatically added. |
In the previous example, the doctype declaration was rendered using theyieldUnescaped
method. We have also seen thexmlDeclaration
method.The template engine provides several support methods that will help you render contents appropriately:
Method | Description | Example |
---|---|---|
yield | Renders contents, but escapes it before rendering | Template:
Output:
|
yieldUnescaped | Renders raw contents. The argument is rendered as is, without escaping. | Template:
Output:
|
xmlDeclaration | Renders an XML declaration String. If the encoding is specified in the configuration, it is written in the declaration. | Template:
Output:
If Output:
|
comment | Renders raw contents inside an XML comment | Template:
Output:
|
newLine | Renders a new line. See also | Template:
Output:
|
pi | Renders an XML processing instruction. | Template:
Output:
|
tryEscape | Returns an escaped string for an object, if it is a | Template:
Output:
|
TheMarkupTemplateEngine
supports inclusion of contents from another file. Included contents may be:
another template
raw contents
contents to be escaped
Including another template can be done using:
include template: 'other_template.tpl'
Including a file as raw contents, without escaping it, can be done like this:
include unescaped: 'raw.txt'
Eventually, inclusion of text that should be escaped before rendering can be done using:
include escaped: 'to_be_escaped.txt'
Alternatively, you can use the following helper methods instead:
includeGroovy(<name>)
to include another template
includeEscaped(<name>)
to include another file with escaping
includeUnescaped(<name>)
to include another file without escaping
Calling those methods instead of theinclude xxx:
syntax can be useful if the name of the file to be included is dynamic (stored in a variable for example).Files to be included (independently of their type, template or text) are found onclasspath. This is one of the reasons why theMarkupTemplateEngine
takesan optionalClassLoader
as constructor argument (the other reason being that you can include code referencing other classes in a template).
If you don’t want your templates to be on classpath, theMarkupTemplateEngine
accepts a convenient constructor that lets you define the directory wheretemplates are to be found.
Fragments are nested templates. They can be used to provide improved composition in a single template. A fragment consists ofa string, the inner template, and a model, used to render this template. Consider the following template:
ul { pages.each { fragment "li(line)", line:it }}
Thefragment
element creates a nested template, and renders it with a model which is specific to this template. Here,we have theli(line)
fragment, whereline
is bound toit
. Sinceit
corresponds to the iteration ofpages
,we will generate a singleli
element for each page in our model:
<ul><li>Page 1</li><li>Page 2</li></ul>
Fragments are interesting to factorize template elements. They come at the price of the compilation of a fragment per template, and they cannotbe externalized.
Layouts, unlike fragments, refer to other templates. They can be used to compose templates and share common structures. This is ofteninteresting if you have, for example, a common HTML page setup, and that you only want to replace the body. This can be done easilywith alayout. First of all, you need to create a layout template:
html { head { title(title)(1) } body { bodyContents()(2) }}
1 | thetitle variable (inside the title tag) is a layout variable |
2 | thebodyContents call will render the body |
Then what you need is a template that includes the layout:
layout 'layout-main.tpl',(1) title: 'Layout example',(2) bodyContents: contents { p('This is the body') }(3)
1 | use themain-layout.tpl layout file |
2 | set thetitle variable |
3 | set thebodyContents |
As you can see,bodyContents
will be rendered inside the layout, thanks to thebodyContents()
call in the layout file. Asa result, the template will be rendered as this:
<html><head><title>Layout example</title></head><body><p>This is the body</p></body></html>
The call to thecontents
method is used to tell the template engine that the block of code is in fact a specification of atemplate, instead of a helper function to be rendered directly. If you don’t addcontents
before your specification, thenthe contents would be rendered, but you would also see a random string generated, corresponding to the result value of the block.
Layouts are a powerful way to share common elements across multipletemplates, without having to rewrite everything or use includes.
Layouts use, by default, a model which is independent from the model of the page where they are used. It is however possibleto make them inherit from the parent model. Imagine that the model is defined like this:
model = new HashMap<String,Object>();model.put('title','Title from main model');
and the following template:
layout 'layout-main.tpl', true,(1) bodyContents: contents { p('This is the body') }
1 | note the use oftrue to enable model inheritance |
then it is not necessary to pass thetitle
value to the layout as in theprevious example. The result will be:
<html><head><title>Title from main model</title></head><body><p>This is the body</p></body></html>
But it is also possible to override a value from the parent model:
layout 'layout-main.tpl', true,(1) title: 'overridden title',(2) bodyContents: contents { p('This is the body') }
1 | true means inherit from the parent model |
2 | buttitle is overridden |
then the output will be:
<html><head><title>overridden title</title></head><body><p>This is the body</p></body></html>
On the server side, rendering templates require an instance ofgroovy.text.markup.MarkupTemplateEngine
and agroovy.text.markup.TemplateConfiguration
:
TemplateConfiguration config = new TemplateConfiguration();(1)MarkupTemplateEngine engine = new MarkupTemplateEngine(config);(2)Template template = engine.createTemplate("p('test template')");(3)Map<String, Object> model = new HashMap<>();(4)Writable output = template.make(model);(5)output.writeTo(writer);(6)
1 | creates a template configuration |
2 | creates a template engine with this configuration |
3 | creates a template instance from aString |
4 | creates a model to be used in the template |
5 | bind the model to the template instance |
6 | render output |
There are several possible options to parse templates:
from aString
, usingcreateTemplate(String)
from aReader
, usingcreateTemplate(Reader)
from aURL
, usingcreateTemplate(URL)
given a template name, usingcreateTemplateByPath(String)
The last version should in general be preferred:
Template template = engine.createTemplateByPath("main.tpl");Writable output = template.make(model);output.writeTo(writer);
The behavior of the engine can be tweaked with several configuration options accessible through theTemplateConfiguration
class:
Option | Default value | Description | Example |
---|---|---|---|
declarationEncoding | null | Determines the value of the encoding to be written when | Template:
Output:
If Output:
|
expandEmptyElements | false | If true, empty tags are rendered in their expanded form. | Template:
Output:
If Output:
|
useDoubleQuotes | false | If true, use double quotes for attributes instead of simple quotes | Template:
Output:
If Output:
|
newLineString | System default (system property | Allows to choose what string is used when a new line is rendered | Template:
If Output:
|
autoEscape | false | If true, variables from models are automatically escaped before rendering. | |
autoIndent | false | If true, performs automatic indentation after new lines | |
autoIndentString | four (4) spaces | The string to be used as indent. | |
autoNewLine | false | If true, performs automatic insertion of new lines | |
baseTemplateClass |
| Sets the super class of compiled templates. This can be used to provide application specific templates. | |
locale | Default locale | Sets the default locale for templates. |
Once the template engine has been created, it isunsafe to change the configuration. |
By default, the template engine will render output without any specific formatting. Someconfiguration options can improve the situation:
autoIndent
is responsible for auto-indenting after a new line is inserted
autoNewLine
is responsible for automatically inserting new lines based on the original formatting of the template source
In general, it is recommended to set bothautoIndent
andautoNewLine
to true if you want human-readable, pretty printed, output:
config.setAutoNewLine(true);config.setAutoIndent(true);
Using the following template:
html { head { title('Title') }}
The output will now be:
<html> <head> <title>Title</title> </head></html>
We can slightly change the template so that thetitle
instruction is found on the same line as thehead
one:
html { head { title('Title') }}
And the output will reflect that:
<html> <head><title>Title</title> </head></html>
New lines areonly inserted where curly braces for tags are found, and the insertion corresponds to where the nested content is found. This means thattags in the body of another tag willnot trigger new lines unless they use curly braces themselves:
html { head { meta(attr:'value')(1) title('Title')(2) newLine()(3) meta(attr:'value2')(4) }}
1 | a new line is inserted becausemeta is not on the same line ashead |
2 | no new line is inserted, because we’re on the same depth as the previous tag |
3 | we can force rendering of a new line by explicitly callingnewLine |
4 | and this tag will be rendered on a separate line |
This time, the output will be:
<html> <head> <meta attr='value'/><title>Title</title> <meta attr='value2'/> </head></html>
By default, the renderer uses four(4) spaces as indent, but you can change it by setting theTemplateConfiguration#autoIndentString
property.
By default, contents which is read from the model is renderedas is. If this contents comes from user input, it can be sensible, and you mightwant to escape it by default, for example to avoid XSS injection. For that, the template configuration provides an option which will automaticallyescape objects from the model, as long as they inherit fromCharSequence
(typically, `String`s).
Let’s imagine the following setup:
config.setAutoEscape(false);model = new HashMap<String,Object>();model.put("unsafeContents", "I am an <html> hacker.");
and the following template:
html { body { div(unsafeContents) }}
Then you wouldn’t want the HTML fromunsafeContents
to be rendered as is, because of potential security issues:
<html><body><div>I am an <html> hacker.</div></body></html>
Automatic escaping will fix this:
config.setAutoEscape(true);
And now the output is properly escaped:
<html><body><div>I am an <html> hacker.</div></body></html>
Note that using automatic escaping doesn’t prevent you from including unescaped contents from the model. To do this, your template should then explicitlymention that a model variable should not be escaped by prefixing it withunescaped.
, like in this example:
html { body { div(unescaped.unsafeContents) }}
Say that you want to generate a<p>
tag which contains a string containing markup:
p { yield "This is a " a(href:'target.html', "link") yield " to another page"}
and generates:
<p>This is a <a href='target.html'>link</a> to another page</p>
Can’t this be written shorter? A naive alternative would be:
p { yield "This is a ${a(href:'target.html', "link")} to another page"}
but the result will not look as expected:
<p><a href='target.html'>link</a>This is a to another page</p>
The reason is that the markup template engine is astreaming engine. In the original version, the firstyield
callgenerates a string which is streamed to the output, then thea
link is generated and streamed, and then the lastyield
call is streamed, leading in an executionin order. But with the string version above, the order of execution is different:
theyield
call requires an argument, astring
that arguments need to be evaluatedbefore theyield call is generated
so evaluating the string leads to an execution of thea(href:…)
callbeforeyield
is itself called. This is notwhat you want to do. Instead, you want to generate astring which contains markup, which is then passed to theyield
call. This can be done this way:
p("This is a ${stringOf {a(href:'target.html', "link")}} to another page")
Note thestringOf
call, which basically tells the markup template engine that the underlying markup needs to be renderedseparately and exported as a string. Note that for simple expressions,stringOf
can be replaced by an alternate tagnotation that starts with adollar sign:
p("This is a ${$a(href:'target.html', "link")} to another page")
It is worth noting that usingstringOf or the special$tag notation triggers the creation of a distinct string writerwhich is then used to render the markup. It is slower than using the version with calls toyield which perform directstreaming of the markup instead. |
The template engine has native support for internationalization. For that, when you create theTemplateConfiguration
, you can provideaLocale
which is the default locale to be used for templates. Each template may have different versions, one for each locale. Thename of the template makes the difference:
file.tpl
: default template file
file_fr_FR.tpl
: french version of the template
file_en_US.tpl
: american english version of the template
…
When a template is rendered or included, then:
if the template name or include nameexplicitly sets a locale, thespecific version is included, or the default version if not found
if the template name doesn’t include a locale, the version for theTemplateConfiguration
locale is used, or the default version if not found
For example, imagine the default locale is set toLocale.ENGLISH
and that the main template includes:
include template: 'locale_include_fr_FR.tpl'
then the template is rendered using the specific template:
Texte en français
Using an include without specifying a locale will make the template engine look for a template with the configured locale, and if not, fallback to the default, like here:
include template: 'locale_include.tpl'
Default text
However, changing the default locale of the template engine toLocale.FRANCE
will change the output, because the template engine will now look for a filewith thefr_FR
locale:
Texte en français
This strategy lets you translate your templates one by one, by relying on default templates, for which no locale is set in the file name.
By default, templates created inherit thegroovy.text.markup.BaseTemplate
class. It may be interesting for an application to provide a differenttemplate class, for example to provide additional helper methods which are aware of the application, or customized rendering primitives (for HTML,for example).
The template engine provides this ability by setting an alternativebaseTemplateClass
in theTemplateConfiguration
:
config.setBaseTemplateClass(MyTemplate.class);
The custom base class has to extendBaseClass
like in this example:
public abstract class MyTemplate extends BaseTemplate { private List<Module> modules public MyTemplate( final MarkupTemplateEngine templateEngine, final Map model, final Map<String, String> modelTypes, final TemplateConfiguration configuration) { super(templateEngine, model, modelTypes, configuration) } List<Module> getModules() { return modules } void setModules(final List<Module> modules) { this.modules = modules } boolean hasModule(String name) { modules?.any { it.name == name } }}
This example shows a class which provides an additional method namedhasModule
, which can then be used directly in the template:
if (hasModule('foo')) { p 'Found module [foo]'} else { p 'Module [foo] not found'}
Even if templates are not type checked, they are statically compiled. This means that once the templates are compiled, performance should be very good. For someapplications, it might be good to make sure that templates are valid before they are actually rendered. This means failing template compilation, for example, ifa method on a model variable doesn’t exist.
TheMarkupTemplateEngine
provides such a facility. Templates can be optionally type checked. For that, the developer must provide additional information attemplate creation time, which is the types of the variables found in the model. Imagine a model exposing a list of pages, where a page is defined as:
public class Page { Long id String title String body}
Then a list of pages can be exposed in the model, like this:
Page p = new Page();p.setTitle("Sample page");p.setBody("Page body");List<Page> pages = new LinkedList<>();pages.add(p);model = new HashMap<String,Object>();model.put("pages", pages);
A template can use it easily:
pages.each { page ->(1) p("Page title: $page.title")(2) p(page.text)(3)}
1 | iterate on pages from the model |
2 | page.title is valid |
3 | page.text isnot (should bepage.body ) |
Without type checking, the compilation of the template succeeds, because the template engine doesn’t know about the model until a pageis actually rendered. This means that the problem would only surface at runtime, once the page is rendered:
No such property: text
In some situations, this can be complicated to sort out or even notice. By declaring the type of thepages
to the template engine, we’re now capable of failing at compile time:
modelTypes = new HashMap<String,String>();(1)modelTypes.put("pages", "List<Page>");(2)Template template = engine.createTypeCheckedModelTemplate("main.tpl", modelTypes)(3)
1 | create a map which will hold the model types |
2 | declare the type of thepages variables (note the use of a string for the type) |
3 | usecreateTypeCheckedModelTemplate instead ofcreateTemplate |
This time, when the template is compiled at the last line, an error occurs:
[Static type checking] - No such property: text for class: Page
This means that you don’t need to wait for the page to be rendered to see an error. The use ofcreateTypeCheckedModelTemplate
is mandatory.
Alternatively, if the developer is also the one who writes the templates, it is possible to declare the types of the expected variablesdirectly in the template. In this case, even if you callcreateTemplate
, it will be type checked:
modelTypes = {(1) List<Page> pages(2)}pages.each { page -> p("Page title: $page.title") p(page.text)}
1 | types need to be declared in themodelTypes header |
2 | declare one variable per object in the model |
An additional interest of using type checked models is that performance should improve. By telling the type checker what are the expected types,you also let the compiler generate optimized code for that, so if you are looking for the best performance, consider using type checked templates.
Also, there are other templating solutions that can be used along with Groovy,such asFreeMarker,Velocity,StringTemplate and others.
You can write (Java) Servlets in Groovy (called Groovlets).
There is also aGroovyServlet
.
This feature will automatically compile your .groovy source files, turn them into bytecode, load the Class and cache it until you change the source file.
Here’s a simple example to show you the kind of things you can do from a Groovlet.
Notice the use of implicit variables to access the session, output and request. Also notice that this is more like a script as it does not have a class wrapper.
if (!session) { session = request.getSession(true)}if (!session.counter) { session.counter = 1}println """<html> <head> <title>Groovy Servlet</title> </head> <body> <p>Hello, ${request.remoteHost}: ${session.counter}! ${new Date()} </p> </body></html>"""session.counter = session.counter + 1
Or, do the same thing using MarkupBuilder:
if (!session) { session = request.getSession(true)}if (!session.counter) { session.counter = 1}html.html { // html is implicitly bound to new MarkupBuilder(out) head { title('Groovy Servlet') } body { p("Hello, ${request.remoteHost}: ${session.counter}! ${new Date()}") }}session.counter = session.counter + 1
The following variables are ready for use in Groovlets:
variable name | bound to | note |
---|---|---|
request | ServletRequest | - |
response | ServletResponse | - |
context | ServletContext | - |
application | ServletContext | - |
session | getSession(false) | can be null! see <1> |
params | a Map object | |
headers | a Map object | |
out | response.getWriter() | see <2> |
sout | response.getOutputStream() | see <2> |
html | new MarkupBuilder(out) | see <2> |
json | new StreamingJsonBuilder(out) | see <2> |
The session variable is only set, if there was already a session object. See theif (session == null)
checks in the examples above.
These variables cannot be re-assigned inside aGroovlet
. They are bound on first access, allowing to e.g. calling methods on theresponse
object before usingout
.
Add the following to yourweb.xml
:
<servlet> <servlet-name>Groovy</servlet-name> <servlet-class>groovy.servlet.GroovyServlet</servlet-class></servlet><servlet-mapping> <servlet-name>Groovy</servlet-name> <url-pattern>*.groovy</url-pattern></servlet-mapping>
Then put the required groovy jar files intoWEB-INF/lib
.
Now put the .groovy files in, say, the root directory (i.e. where you would put your html files). TheGroovyServlet
takes care of compiling the .groovy files.
So for example using tomcat you could edittomcat/conf/server.xml
like this:
<Context path="/groovy" docBase="c:/groovy-servlet"/>
Then access it withhttp://localhost:8080/groovy/hello.groovy
The Groovy language proposes several ways to integrate itself into applications (Java or even Groovy) at runtime, fromthe most basic, simple code execution to the most complete, integrating caching and compiler customization.
All the examples written in this section are using Groovy, but the same integration mechanisms can be used fromJava. |
Thegroovy.util.Eval
class is the simplest way to execute Groovy dynamically at runtime. This can be done by calling theme
method:
import groovy.util.Evalassert Eval.me('33*3') == 99assert Eval.me('"foo".toUpperCase()') == 'FOO'
Eval
supports multiple variants that accept parameters for simple evaluation:
assert Eval.x(4, '2*x') == 8(1)assert Eval.me('k', 4, '2*k') == 8(2)assert Eval.xy(4, 5, 'x*y') == 20(3)assert Eval.xyz(4, 5, 6, 'x*y+z') == 26(4)
1 | Simple evaluation with one bound parameter namedx |
2 | Same evaluation, with a custom bound parameter namedk |
3 | Simple evaluation with two bound parameters namedx andy |
4 | Simple evaluation with three bound parameters namedx ,y andz |
TheEval
class makes it very easy to evaluate simple scripts, but doesn’t scale: there is no caching of the script, andit isn’t meant to evaluate more than one-liners.
Thegroovy.lang.GroovyShell
class is the preferred way to evaluate scripts with the ability to cache the resultingscript instance. Although theEval
class returns the result of the execution of the compiled script, theGroovyShell
class offers more options.
def shell = new GroovyShell()(1)def result = shell.evaluate '3*5'(2)def result2 = shell.evaluate(new StringReader('3*5'))(3)assert result == result2def script = shell.parse '3*5'(4)assert script instanceof groovy.lang.Scriptassert script.run() == 15(5)
1 | create a newGroovyShell instance |
2 | can be used asEval with direct execution of the code |
3 | can read from multiple sources (String ,Reader ,File ,InputStream ) |
4 | can defer execution of the script.parse returns aScript instance |
5 | Script defines arun method |
It is possible to share data between the application and the script using agroovy.lang.Binding
:
def sharedData = new Binding()(1)def shell = new GroovyShell(sharedData)(2)def now = new Date()sharedData.setProperty('text', 'I am shared data!')(3)sharedData.setProperty('date', now)(4)String result = shell.evaluate('"At $date, $text"')(5)assert result == "At $now, I am shared data!"
1 | create a newBinding that will contain shared data |
2 | create aGroovyShell using this shared data |
3 | add a string to the binding |
4 | add a date to the binding (you are not limited to simple types) |
5 | evaluate the script |
Note that it is also possible to write from the script into the binding:
def sharedData = new Binding()(1)def shell = new GroovyShell(sharedData)(2)shell.evaluate('foo=123')(3)assert sharedData.getProperty('foo') == 123(4)
1 | create a newBinding instance |
2 | create a newGroovyShell using that shared data |
3 | use anundeclared variable to store the result into the binding |
4 | read the result from the caller |
It is important to understand that you need to use an undeclared variable if you want to write into the binding. Usingdef
or anexplicit
type like in the example below would fail because you would then create alocal variable:
def sharedData = new Binding()def shell = new GroovyShell(sharedData)shell.evaluate('int foo=123')try { assert sharedData.getProperty('foo')} catch (MissingPropertyException e) { println "foo is defined as a local variable"}
You must be very careful when using shared data in a multithreaded environment. TheBinding instance thatyou pass toGroovyShell isnot thread safe, and shared by all scripts. |
It is possible to work around the shared instance ofBinding
by leveraging theScript
instance which is returnedbyparse
:
def shell = new GroovyShell()def b1 = new Binding(x:3)(1)def b2 = new Binding(x:4)(2)def script = shell.parse('x = 2*x')script.binding = b1script.run()script.binding = b2script.run()assert b1.getProperty('x') == 6assert b2.getProperty('x') == 8assert b1 != b2
1 | will store thex variable insideb1 |
2 | will store thex variable insideb2 |
However, you must be aware that you are still sharing thesame instance of a script. So this technique cannot beused if you have two threads working on the same script. In that case, you must make sure of creating two distinctscript instances:
def shell = new GroovyShell()def b1 = new Binding(x:3)def b2 = new Binding(x:4)def script1 = shell.parse('x = 2*x')(1)def script2 = shell.parse('x = 2*x')(2)assert script1 != script2script1.binding = b1(3)script2.binding = b2(4)def t1 = Thread.start { script1.run() }(5)def t2 = Thread.start { script2.run() }(6)[t1,t2]*.join()(7)assert b1.getProperty('x') == 6assert b2.getProperty('x') == 8assert b1 != b2
1 | create an instance of script for thread 1 |
2 | create an instance of script for thread 2 |
3 | assign first binding to script 1 |
4 | assign second binding to script 2 |
5 | start first script in a separate thread |
6 | start second script in a separate thread |
7 | wait for completion |
In case you need thread safety like here, it is more advisable to use theGroovyClassLoaderdirectly instead.
We have seen that theparse
method returns an instance ofgroovy.lang.Script
, but it is possible to use a customclass, given that it extendsScript
itself. It can be used to provide additional behavior to the script like inthe example below:
abstract class MyScript extends Script { String name String greet() { "Hello, $name!" }}
The custom class defines a property calledname
and a new method calledgreet
. This class can be used as the scriptbase class by using a custom configuration:
import org.codehaus.groovy.control.CompilerConfigurationdef config = new CompilerConfiguration()(1)config.scriptBaseClass = 'MyScript'(2)def shell = new GroovyShell(this.class.classLoader, new Binding(), config)(3)def script = shell.parse('greet()')(4)assert script instanceof MyScriptscript.setName('Michel')assert script.run() == 'Hello, Michel!'
1 | create aCompilerConfiguration instance |
2 | instruct it to useMyScript as the base class for scripts |
3 | then use the compiler configuration when you create the shell |
4 | the script now has access to the new methodgreet |
You are not limited to the solescriptBaseClass configuration. You can use any of the compiler configurationtweaks, including thecompilation customizers. |
In theprevious section, we have shown thatGroovyShell
was an easy tool to execute scripts, butit makes it complicated to compile anything but scripts. Internally, it makes use of thegroovy.lang.GroovyClassLoader
,which is at the heart of the compilation and loading of classes at runtime.
By leveraging theGroovyClassLoader
instead ofGroovyShell
, you will be able to load classes, instead of instancesof scripts:
import groovy.lang.GroovyClassLoaderdef gcl = new GroovyClassLoader()(1)def clazz = gcl.parseClass('class Foo { void doIt() { println "ok" } }')(2)assert clazz.name == 'Foo'(3)def o = clazz.newInstance()(4)o.doIt()(5)
1 | create a newGroovyClassLoader |
2 | parseClass will return an instance ofClass |
3 | you can check that the class which is returns is really the one defined in the script |
4 | and you can create a new instance of the class, which is not a script |
5 | then call any method on it |
A GroovyClassLoader keeps a reference of all the classes it created, so it is easy to create a memory leak. Inparticular, if you execute the same script twice, if it is a String, then you obtain two distinct classes! |
import groovy.lang.GroovyClassLoaderdef gcl = new GroovyClassLoader()def clazz1 = gcl.parseClass('class Foo { }')(1)def clazz2 = gcl.parseClass('class Foo { }')(2)assert clazz1.name == 'Foo'(3)assert clazz2.name == 'Foo'assert clazz1 != clazz2(4)
1 | dynamically create a class named "Foo" |
2 | create an identical looking class, using a separateparseClass call |
3 | make sure both classes have the same name |
4 | but they are actually different! |
The reason is that aGroovyClassLoader
doesn’t keep track of the source text. If you want to have the same instance,then the sourcemust be a file, like in this example:
def gcl = new GroovyClassLoader()def clazz1 = gcl.parseClass(file)(1)def clazz2 = gcl.parseClass(new File(file.absolutePath))(2)assert clazz1.name == 'Foo'(3)assert clazz2.name == 'Foo'assert clazz1 == clazz2(4)
1 | parse a class from aFile |
2 | parse a class from a distinct file instance, but pointing to the same physical file |
3 | make sure our classes have the same name |
4 | but now, they are the same instance |
Using aFile
as input, theGroovyClassLoader
is capable ofcaching the generated class file, which avoidscreating multiple classes at runtime for the same source.
Thegroovy.util.GroovyScriptEngine
class provides a flexible foundation for applications which rely on scriptreloading and script dependencies. WhileGroovyShell
focuses on standaloneScript
s andGroovyClassLoader
handlesdynamic compilation and loading of any Groovy class, theGroovyScriptEngine
will add a layer on top ofGroovyClassLoader
to handle both script dependencies and reloading.
To illustrate this, we will create a script engine and execute code in an infinite loop. First of all, you need to createa directory with the following script inside:
class Greeter { String sayHello() { def greet = "Hello, world!" greet }}new Greeter()
then you can execute this code using aGroovyScriptEngine
:
def binding = new Binding()def engine = new GroovyScriptEngine([tmpDir.toURI().toURL()] as URL[])(1)while (true) { def greeter = engine.run('ReloadingTest.groovy', binding)(2) println greeter.sayHello()(3) Thread.sleep(1000)}
1 | create a script engine which will look for sources into our source directory |
2 | execute the script, which will return an instance ofGreeter |
3 | print the greeting message |
At this point, you should see a message printed every second:
Hello, world!Hello, world!...
Without interrupting the script execution, now replace the contents of theReloadingTest
file with:
class Greeter { String sayHello() { def greet = "Hello, Groovy!" greet }}new Greeter()
And the message should change to:
Hello, world!...Hello, Groovy!Hello, Groovy!...
But it is also possible to have a dependency on another script. To illustrate this, create the following file intothe same directory, without interrupting the executing script:
class Dependency { String message = 'Hello, dependency 1'}
and update theReloadingTest
script like this:
import Dependencyclass Greeter { String sayHello() { def greet = new Dependency().message greet }}new Greeter()
And this time, the message should change to:
Hello, Groovy!...Hello, dependency 1!Hello, dependency 1!...
And as a last test, you can update theDependency.groovy
file without touching theReloadingTest
file:
class Dependency { String message = 'Hello, dependency 2'}
And you should observe that the dependent file was reloaded:
Hello, dependency 1!...Hello, dependency 2!Hello, dependency 2!
Ultimately, it is possible to perform more operations during compilation by relying directly on theorg.codehaus.groovy.control.CompilationUnit
class. This class is responsible for determining the various steps ofcompilation and would let you introduce new steps or even stop compilation at various phases. This is for example howstub generation is done, for the joint compiler.
However, overridingCompilationUnit
is not recommended and should only be done if no other standard solution works.
JSR-223 is a standard API for calling scripting frameworks in Java. It is available since Java 6 and aims atproviding a common framework for calling multiple languages from Java. Groovy provides its own richer integration mechanisms,and if you don’t plan to use multiple languages in the same application, it is recommended that you use the Groovyintegration mechanisms instead of the limited JSR-223 API. |
Here is how you need to initialize the JSR-223 engine to talk to Groovy from Java:
import javax.script.ScriptEngine;import javax.script.ScriptEngineManager;import javax.script.ScriptException;...ScriptEngineManager factory = new ScriptEngineManager();ScriptEngine engine = factory.getEngineByName("groovy");
Then you can execute Groovy scripts easily:
Integer sum = (Integer) engine.eval("(1..10).sum()");assertEquals(Integer.valueOf(55), sum);
It is also possible to share variables:
engine.put("first", "HELLO");engine.put("second", "world");String result = (String) engine.eval("first.toLowerCase() + ' ' + second.toUpperCase()");assertEquals("hello WORLD", result);
This next example illustrates calling an invokable function:
import javax.script.Invocable;...ScriptEngineManager factory = new ScriptEngineManager();ScriptEngine engine = factory.getEngineByName("groovy");String fact = "def factorial(n) { n == 1 ? 1 : n * factorial(n - 1) }";engine.eval(fact);Invocable inv = (Invocable) engine;Object[] params = {5};Object result = inv.invokeFunction("factorial", params);assertEquals(Integer.valueOf(120), result);
The engine keeps per default hard references to the script functions. Tochange this you should set an engine level scoped attribute to the scriptcontext of the name#jsr223.groovy.engine.keep.globals
with aString beingphantom
to use phantom references,weak
to use weakreferences orsoft
to use soft references - casing is ignored. Anyother string will cause the use of hard references.
Groovy lets you omit parentheses around the arguments of amethod call for top-level statements. "command chain" feature extends this by allowing us to chain suchparentheses-free method calls, requiring neither parentheses around arguments, nor dots between the chained calls.The general idea is that a call likea b c d
will actually be equivalent toa(b).c(d)
. Thisalso works with multiple arguments, closure arguments, and even named arguments. Furthermore, such command chains canalso appear on the right-hand side of assignments. Let’s have a look at some examplessupported by this new syntax:
// equivalent to: turn(left).then(right)turn left then right// equivalent to: take(2.pills).of(chloroquinine).after(6.hours)take 2.pills of chloroquinine after 6.hours// equivalent to: paint(wall).with(red, green).and(yellow)paint wall with red, green and yellow// with named parameters too// equivalent to: check(that: margarita).tastes(good)check that: margarita tastes good// with closures as parameters// equivalent to: given({}).when({}).then({})given { } when { } then { }
It is also possible to use methods in the chain which take no arguments,but in that case, the parentheses are needed:
// equivalent to: select(all).unique().from(names)select all unique() from names
If your command chain contains an odd number of elements, the chain willbe composed of method / arguments, and will finish by a final propertyaccess:
// equivalent to: take(3).cookies// and also this: take(3).getCookies()take 3 cookies
This command chain approach opens up interesting possibilities in terms of the much wider range of DSLs whichcan now be written in Groovy.
The above examples illustrate using a command chain based DSL but not how to create one. There are various strategiesthat you can use, but to illustrate creating such a DSL, we will show a couple of examples - first using maps and Closures:
show = { println it }square_root = { Math.sqrt(it) }def please(action) { [the: { what -> [of: { n -> action(what(n)) }] }]}// equivalent to: please(show).the(square_root).of(100)please show the square_root of 100// ==> 10.0
As a second example, consider how you might write a DSL for simplifyingone of your existing APIs. Maybe you need to put this code in front ofcustomers, business analysts or testers who might be not hard-core Javadevelopers. We’ll use theSplitter
from the GoogleGuava libraries project as italready has a nice Fluent API. Here is how we might use it out of thebox:
@Grab('com.google.guava:guava:r09')import com.google.common.base.*def result = Splitter.on(',').trimResults(CharMatcher.is('_' as char)).split("_a ,_b_ ,c__").iterator().toList()
It reads fairly well for a Java developer but if that is not your targetaudience or you have many such statements to write, it could beconsidered a little verbose. Again, there are many options for writing aDSL. We’ll keep it simple with Maps and Closures. We’ll first write ahelper method:
@Grab('com.google.guava:guava:r09')import com.google.common.base.*def split(string) { [on: { sep -> [trimming: { trimChar -> Splitter.on(sep).trimResults(CharMatcher.is(trimChar as char)).split(string).iterator().toList() }] }]}
now instead of this line from our original example:
def result = Splitter.on(',').trimResults(CharMatcher.is('_' as char)).split("_a ,_b_ ,c__").iterator().toList()
we can write this:
def result = split "_a ,_b_ ,c__" on ',' trimming '_\'
Various operators in Groovy are mapped onto regular method calls on objects.
This allows you to provide your own Java or Groovy objects which can take advantage of operator overloading. The following table describes the operators supported in Groovy and the methods they map to.
Operator | Method |
---|---|
| a.plus(b) |
| a.minus(b) |
| a.multiply(b) |
| a.power(b) |
| a.div(b) |
| a.mod(b) |
| a.or(b) |
| a.and(b) |
| a.xor(b) |
| a.next() |
| a.previous() |
| a.getAt(b) |
| a.putAt(b, c) |
| a.leftShift(b) |
| a.rightShift(b) |
| a.rightShiftUnsigned(b) |
| b.isCase(a) |
| a.asBoolean() |
| a.bitwiseNegate() |
| a.negative() |
| a.positive() |
| a.asType(b) |
| a.equals(b) |
| ! a.equals(b) |
| a.compareTo(b) |
| a.compareTo(b) > 0 |
| a.compareTo(b) >= 0 |
| a.compareTo(b) < 0 |
| a.compareTo(b) <= 0 |
Groovy scripts are always compiled to classes. For example, a script as simple as:
println 'Hello from Groovy'
is compiled to a class extending the abstractgroovy.lang.Script class. This class contains a single abstractmethod calledrun. When a script is compiled, then its body will become therun method, while the other methodsfound in the script are found in the implementing class. TheScript
class provides base support for integrationwith your application through theBinding
object, as illustrated in this example:
def binding = new Binding()(1)def shell = new GroovyShell(binding)(2)binding.setVariable('x',1)(3)binding.setVariable('y',3)shell.evaluate 'z=2*x+y'(4)assert binding.getVariable('z') == 5(5)
1 | a binding is used to share data between the script and the calling class |
2 | aGroovyShell can be used with this binding |
3 | input variables are set from the calling class inside the binding |
4 | then the script is evaluated |
5 | and thez variable has been "exported" into the binding |
This is a very practical way to share data between the caller and the script, however it may be insufficient or notpractical in some cases. For that purpose, Groovy allows you to set your own base script class. A base script classhas to extendgroovy.lang.Script and be a single abstract method type:
abstract class MyBaseClass extends Script { String name public void greet() { println "Hello, $name!" }}
Then the custom script base class can be declared in the compiler configuration, for example:
def config = new CompilerConfiguration()(1)config.scriptBaseClass = 'MyBaseClass'(2)def shell = new GroovyShell(this.class.classLoader, config)(3)shell.evaluate """ setName 'Judith'(4) greet()"""
1 | create a custom compiler configuration |
2 | set the base script class to our custom base script class |
3 | then create aGroovyShell using that configuration |
4 | the script will then extend the base script class, giving direct access to thename property andgreet method |
As an alternative, it is also possible to use the@BaseScript
annotation directly into a script:
import groovy.transform.BaseScript@BaseScript MyBaseClass baseScriptsetName 'Judith'greet()
where@BaseScript
should annotate a variable which type is the class of the base script. Alternatively, you can setthe base script class as a member of the@BaseScript
annotation itself:
@BaseScript(MyBaseClass)import groovy.transform.BaseScriptsetName 'Judith'greet()
We have seen that the base script class is a single abstract method type that needs to implement therun
method. Therun
method is executed by the script engine automatically. In some circumstances it may be interesting to have a baseclass which implements therun
method, but provides an alternative abstract method to be used for the script body.For example, the base scriptrun
method might perform some initialization before therun
method is executed. Thisis possible by doing this:
abstract class MyBaseClass extends Script { int count abstract void scriptBody()(1) def run() { count++(2) scriptBody()(3) count(4) }}
1 | the base script class should define one (and only one) abstract method |
2 | therun method can be overridden and perform a task before executing the script body |
3 | run calls the abstractscriptBody method which will delegate to the user script |
4 | then it can return something else than the value from the script |
If you execute this code:
def result = shell.evaluate """ println 'Ok'"""assert result == 1
Then you will see that the script is executed, but the result of the evaluation is1
as returned by therun
method of the base class. It is even clearer if you useparse
instead ofevaluate
, because it would allow you toexecute therun
method several times on the same script instance:
def script = shell.parse("println 'Ok'")assert script.run() == 1assert script.run() == 2
In Groovy number types are considered equal to any other types. As such, it is possible to enhance numbers by addingproperties or methods to them. This can be very handy when dealing with measurable quantities for example. Details abouthow existing classes can be enhanced in Groovy are found in theextensionmodules section or thecategories section.
An illustration of this can be found in Groovy using theTimeCategory
:
use(TimeCategory) { println 1.minute.from.now(1) println 10.hours.ago def someDate = new Date()(2) println someDate - 3.months}
1 | using theTimeCategory , a propertyminute is added to theInteger class |
2 | similarly, themonths method returns agroovy.time.DatumDependentDuration which can be used in calculus |
Categories are lexically bound, making them a great fit for internal DSLs.
@groovy.lang.DelegatesTo
is a documentation and compile-time annotation aimed at:
documenting APIs that use closures as arguments
providing type information for the static type checker and compiler
The Groovy language is a platform of choice for building DSLs. Usingclosures, it’s quite easy to create custom control structures, as wellas it is simple to create builders. Imagine that you have the followingcode:
email { from 'dsl-guru@mycompany.com' to 'john.doe@waitaminute.com' subject 'The pope has resigned!' body { p 'Really, the pope has resigned!' }}
One way of implementing this is using the builder strategy, whichimplies a method, namedemail
which accepts a closure as an argument.The method may delegate subsequent calls to an object that implementsthe from
, to
, subject
and body
methods. Again, body
is amethod which accepts a closure as an argument and that uses the builderstrategy.
Implementing such a builder is usually done the following way:
def email(Closure cl) { def email = new EmailSpec() def code = cl.rehydrate(email, this, this) code.resolveStrategy = Closure.DELEGATE_ONLY code()}
theEmailSpec
class implements the from
, to
, … methods. Bycalling rehydrate
, we’re creating a copy of the closure for which weset the delegate
, owner
and thisObject
values. Setting the ownerand thethis
object is not very important here since we will use theDELEGATE_ONLY
strategy which says that the method calls will beresolved only against the delegate of the closure.
class EmailSpec { void from(String from) { println "From: $from"} void to(String... to) { println "To: $to"} void subject(String subject) { println "Subject: $subject"} void body(Closure body) { def bodySpec = new BodySpec() def code = body.rehydrate(bodySpec, this, this) code.resolveStrategy = Closure.DELEGATE_ONLY code() }}
TheEmailSpec
class has itself abody
method accepting a closure that is cloned and executed. This is whatwe call the builder pattern in Groovy.
One of the problems with the code that we’ve shown is that the user oftheemail
method doesn’t have any information about the methods thathe’s allowed to call inside the closure. The only possible informationis from the method documentation. There are two issues with this: firstof all, documentation is not always written, and if it is, it’s notalways available (javadoc not downloaded, for example). Second, itdoesn’t help IDEs. What would be really interesting, here, is for IDEsto help the developer by suggesting, once they are in the closure body,methods that exist on theemail
class.
Moreover, if the user calls a method in the closure which is not definedby the EmailSpec
class, the IDE should at least issue a warning (becauseit’s very likely that it will break at runtime).
One more problem with the code above is that it is not compatible with static type checking. Type checking would letthe user know if a method call is authorized at compile time instead of runtime, but if you try to perform typechecking on this code:
email { from 'dsl-guru@mycompany.com' to 'john.doe@waitaminute.com' subject 'The pope has resigned!' body { p 'Really, the pope has resigned!' }}
Then the type checker will know that there’s an email
method acceptinga Closure
, but it will complain about every method call inside theclosure, because from
, for example, is not a method which is definedin the class. Indeed, it’s defined in the EmailSpec
class and it hasabsolutely no hint to help it knowing that the closure delegate will, atruntime, be of type EmailSpec
:
@groovy.transform.TypeCheckedvoid sendEmail() { email { from 'dsl-guru@mycompany.com' to 'john.doe@waitaminute.com' subject 'The pope has resigned!' body { p 'Really, the pope has resigned!' } }}
will fail compilation with errors like this one:
[Static type checking] - Cannot find matching method MyScript#from(java.lang.String). Please check if the declared type is correct and if the method exists. @ line 31, column 21. from 'dsl-guru@mycompany.com'
For those reasons, Groovy 2.1 introduced a new annotationnamed @DelegatesTo
. The goal of this annotation is to solve both thedocumentation issue, that will let your IDE know about the expectedmethods in the closure body, and it will also solve the type checkingissue, by giving hints to the compiler about what are the potentialreceivers of method calls in the closure body.
The idea is to annotate the Closure
parameter of the email
method:
def email(@DelegatesTo(EmailSpec) Closure cl) { def email = new EmailSpec() def code = cl.rehydrate(email, this, this) code.resolveStrategy = Closure.DELEGATE_ONLY code()}
What we’ve done here is telling the compiler (or the IDE) that when themethod will be called with a closure, the delegate of this closure willbe set to an object of type email
. But there is still a problem: thedefault delegation strategy is not the one which is used in our method.So we will give more information and tell the compiler (or the IDE) thatthe delegation strategy is also changed:
def email(@DelegatesTo(strategy=Closure.DELEGATE_ONLY, value=EmailSpec) Closure cl) { def email = new EmailSpec() def code = cl.rehydrate(email, this, this) code.resolveStrategy = Closure.DELEGATE_ONLY code()}
Now, both the IDE and the type checker (if you are using@TypeChecked
)will be aware of the delegate and the delegation strategy. This is verynice because it will both allow the IDE to provide smart completion, butit will also remove errors at compile time that exist only because thebehaviour of the program is normally only known at runtime!
The following code will now pass compilation:
@TypeCheckedvoid doEmail() { email { from 'dsl-guru@mycompany.com' to 'john.doe@waitaminute.com' subject 'The pope has resigned!' body { p 'Really, the pope has resigned!' } }}
@DelegatesTo
supports multiple modes that we will describe with examplesin this section.
In this mode, the only mandatory parameter is the value which says towhich class we delegate calls. Nothing more. We’re telling the compilerthat the type of the delegate will always be of the type documentedby @DelegatesTo
(note that it can be a subclass, but if it is, themethods defined by the subclass will not be visible to the typechecker).
void body(@DelegatesTo(BodySpec) Closure cl) { // ...}
In this mode, you must specify both the delegate class and adelegation strategy. This must be used if the closure will not be calledwith the default delegation strategy, which is Closure.OWNER_FIRST
.
void body(@DelegatesTo(strategy=Closure.DELEGATE_ONLY, value=BodySpec) Closure cl) { // ...}
In this variant, we will tell the compiler that we are delegating toanother parameter of the method. Take the following code:
def exec(Object target, Closure code) { def clone = code.rehydrate(target, this, this) clone()}
Here, the delegate which will be used is not created inside the exec
method. In fact, we take an argument of the method and delegate to it.Usage may look like this:
def email = new Email()exec(email) { from '...' to '...' send()}
Each of the method calls are delegated to the email
parameter. This isa widely used pattern which is also supported by @DelegatesTo
using acompanion annotation:
def exec(@DelegatesTo.Target Object target, @DelegatesTo Closure code) { def clone = code.rehydrate(target, this, this) clone()}
A closure is annotated with @DelegatesTo
, but this time, withoutspecifying any class. Instead, we’re annotating another parameterwith @DelegatesTo.Target
. The type of the delegate is then determinedat compile time. One could think that we are using the parameter type,which in this case is Object
but this is not true. Take this code:
class Greeter { void sayHello() { println 'Hello' }}def greeter = new Greeter()exec(greeter) { sayHello()}
Remember that this works out of the box without having to annotatewith @DelegatesTo
. However, to make the IDE aware of the delegatetype, or the type checker aware of it, we need to add @DelegatesTo
.And in this case, it will know that the Greeter
variable is oftype Greeter
, so it will not report errors on the sayHellomethod even if the exec method doesn’t explicitly define the target asof type Greeter. This is a very powerful feature, because it preventsyou from writing multiple versions of the same exec
method fordifferent receiver types!
In this mode, the @DelegatesTo
annotation also supports the strategy
parameter that we’ve described upper.
In the previous example, the exec
method accepted only one closure,but you may have methods that take multiple closures:
void fooBarBaz(Closure foo, Closure bar, Closure baz) { ...}
Then nothing prevents you from annotating each closurewith @DelegatesTo
:
class Foo { void foo(String msg) { println "Foo ${msg}!" } }class Bar { void bar(int x) { println "Bar ${x}!" } }class Baz { void baz(Date d) { println "Baz ${d}!" } }void fooBarBaz(@DelegatesTo(Foo) Closure foo, @DelegatesTo(Bar) Closure bar, @DelegatesTo(Baz) Closure baz) { ...}
But more importantly, if you have multiple closures and multiplearguments, you can use several targets:
void fooBarBaz( @DelegatesTo.Target('foo') foo, @DelegatesTo.Target('bar') bar, @DelegatesTo.Target('baz') baz, @DelegatesTo(target='foo') Closure cl1, @DelegatesTo(target='bar') Closure cl2, @DelegatesTo(target='baz') Closure cl3) { cl1.rehydrate(foo, this, this).call() cl2.rehydrate(bar, this, this).call() cl3.rehydrate(baz, this, this).call()}def a = new Foo()def b = new Bar()def c = new Baz()fooBarBaz( a, b, c, { foo('Hello') }, { bar(123) }, { baz(new Date()) })
At this point, you may wonder why we don’t use the parameter names asreferences. The reason is that the information (the parameter name) isnot always available (it’s a debug-only information), so it’s alimitation of the JVM. |
In some situations, it is interesting to instruct the IDE or the compiler that the delegate type will not be a parameterbut a generic type. Imagine a configurator that runs on a list of elements:
public <T> void configure(List<T> elements, Closure configuration) { elements.each { e-> def clone = configuration.rehydrate(e, this, this) clone.resolveStrategy = Closure.DELEGATE_FIRST clone.call() }}
Then this method can be called with any list like this:
@groovy.transform.ToStringclass Realm { String name}List<Realm> list = []3.times { list << new Realm() }configure(list) { name = 'My Realm'}assert list.every { it.name == 'My Realm' }
To let the type checker and the IDE know that theconfigure
method calls the closure on each element of the list, you need to use@DelegatesTo
differently:
public <T> void configure( @DelegatesTo.Target List<T> elements, @DelegatesTo(strategy=Closure.DELEGATE_FIRST, genericTypeIndex=0) Closure configuration) { def clone = configuration.rehydrate(e, this, this) clone.resolveStrategy = Closure.DELEGATE_FIRST clone.call()}
@DelegatesTo
takes an optionalgenericTypeIndex
argument that tells what is the index of the generic type that willbe used as the delegate type. Thismust be used in conjunction with@DelegatesTo.Target
and the index starts at 0. Inthe example above, that means that the delegate type is resolved againstList<T>
, and since the generic type at index0 isT
and inferred as aRealm
, the type checker infers that the delegate type will be of typeRealm
.
We’re using agenericTypeIndex instead of a placeholder (T ) because of JVM limitations. |
It is possible that none of the options above can represent the type you want to delegate to. For example, let’s definea mapper class which is parametrized with an object and defines a map method which returns an object of another type:
class Mapper<T,U> {(1) final T value(2) Mapper(T value) { this.value = value } U map(Closure<U> producer) {(3) producer.delegate = value producer() }}
1 | The mapper class takes two generic type arguments: the source type and the target type |
2 | The source object is stored in a final field |
3 | Themap method asks to convert the source object to a target object |
As you can see, the method signature frommap
does not give any information about what object willbe manipulated by the closure. Reading the method body, we know that it will be thevalue
which isof typeT
, butT
is not found in the method signature, so we are facing a case where none of theavailable options for@DelegatesTo
is suitable. For example, if we try to statically compile this code:
def mapper = new Mapper<String,Integer>('Hello')assert mapper.map { length() } == 5
Then the compiler will fail with:
Static type checking] - Cannot find matching method TestScript0#length()
In that case, you can use thetype
member of the@DelegatesTo
annotation to referenceT
as a type token:
class Mapper<T,U> { final T value Mapper(T value) { this.value = value } U map(@DelegatesTo(type="T") Closure<U> producer) {(1) producer.delegate = value producer() }}
1 | The@DelegatesTo annotation references a generic type which is not found in the method signature |
Note that you are not limited to generic type tokens. Thetype
member can be used to represent complex types, suchasList<T>
orMap<T,List<U>>
. The reason why you should use that in last resort is that the type is only checkedwhen the type checker finds usage of@DelegatesTo
, not when the annotated method itself is compiled. This means thattype safety is only ensured at the call site. Additionally, compilation will be slower (though probably unnoticeable formost cases).
Whether you are using groovyc
to compile classes or a GroovyShell
,for example, to execute scripts, under the hood, acompiler configuration is used. This configuration holds informationlike the source encoding or the classpath but it can also be used to perform more operations like adding imports bydefault, applying AST transformations transparently or disabling global AST transformations.
The goal of compilation customizers is to make those common tasks easy to implement. For that, the CompilerConfiguration
class is the entry point. The general schema will always be based on the following code:
import org.codehaus.groovy.control.CompilerConfiguration// create a configurationdef config = new CompilerConfiguration()// tweak the configurationconfig.addCompilationCustomizers(...)// run your scriptdef shell = new GroovyShell(config)shell.evaluate(script)
Compilation customizers must extend the org.codehaus.groovy.control.customizers.CompilationCustomizer class. A customizer works:
on a specific compilation phase
on every class node being compiled
You can implement your own compilation customizer but Groovy includes some of the most common operations.
Using this compilation customizer, your code will have imports addedtransparently. This is in particular useful for scripts implementing aDSL where you want to avoid users from having to write imports. Theimport customizer will let you add all the variants of imports theGroovy language allows, that is:
class imports, optionally aliased
star imports
static imports, optionally aliased
static star imports
import org.codehaus.groovy.control.customizers.ImportCustomizerdef icz = new ImportCustomizer()// "normal" importicz.addImports('java.util.concurrent.atomic.AtomicInteger', 'java.util.concurrent.ConcurrentHashMap')// "aliases" importicz.addImport('CHM', 'java.util.concurrent.ConcurrentHashMap')// "static" importicz.addStaticImport('java.lang.Math', 'PI') // import static java.lang.Math.PI// "aliased static" importicz.addStaticImport('pi', 'java.lang.Math', 'PI') // import static java.lang.Math.PI as pi// "star" importicz.addStarImports 'java.util.concurrent' // import java.util.concurrent.*// "static star" importicz.addStaticStars 'java.lang.Math' // import static java.lang.Math.*
A detailed description of all shortcuts can be found inorg.codehaus.groovy.control.customizers.ImportCustomizer
The AST transformation customizer is meant to apply AST transformationstransparently. Unlike global AST transformations that apply on everyclass being compiled as long as the transform is found on classpath(which has drawbacks like increasing the compilation time or sideeffects due to transformations applied where they should not), thecustomizer will allow you to selectively apply a transform only forspecific scripts or classes.
As an example, let’s say you want to be able to use @Log
in a script.The problem is that @Log
is normally applied on a class node and ascript, by definition, doesn’t require one. But implementation wise,scripts are classes, it’s just that you cannot annotate this implicitclass node with @Log
. Using the AST customizer, you have a workaroundto do it:
import org.codehaus.groovy.control.customizers.ASTTransformationCustomizerimport groovy.util.logging.Logdef acz = new ASTTransformationCustomizer(Log)config.addCompilationCustomizers(acz)
That’s all! Internally, the @Log
AST transformation is applied toevery class node in the compilation unit. This means that it will beapplied to the script, but also to classes defined within the script.
If the AST transformation that you are using accepts parameters, you canuse parameters in the constructor too:
def acz = new ASTTransformationCustomizer(Log, value: 'LOGGER')// use name 'LOGGER' instead of the default 'log'config.addCompilationCustomizers(acz)
As the AST transformation customizers works with objects instead of ASTnodes, not all values can be converted to AST transformation parameters.For example, primitive types are converted to ConstantExpression
(thatisLOGGER
is converted to new ConstantExpression('LOGGER')
, but ifyour AST transformation takes a closure as an argument, then you have togive it a ClosureExpression
, like in the following example:
def configuration = new CompilerConfiguration()def expression = new AstBuilder().buildFromCode(CompilePhase.CONVERSION) { -> true }.expression[0]def customizer = new ASTTransformationCustomizer(ConditionalInterrupt, value: expression, thrown: SecurityException)configuration.addCompilationCustomizers(customizer)def shell = new GroovyShell(configuration)shouldFail(SecurityException) { shell.evaluate(""" // equivalent to adding @ConditionalInterrupt(value={true}, thrown: SecurityException) class MyClass { void doIt() { } } new MyClass().doIt() """)}
For a complete list of options, please refer toorg.codehaus.groovy.control.customizers.ASTTransformationCustomizer
This customizer will allow the developer of a DSL to restrict thegrammar of the language, for example, to prevent users from using particular constructs.It is only ``secure'' in that one aspect, i.e. limiting the allowable constructs within a DSL.It does not replace a security manager which might additionallybe needed as an orthogonal aspect of overall security.The only reason for it to exist is to limit the expressiveness of thelanguage. This customizer only works at the AST (abstract syntax tree)level, not at runtime! It can be strange at first glance, but it makesmuch more sense if you think of Groovy as a platform to build DSLs. Youmay not want a user to have a complete language at hand. In the examplebelow, we will demonstrate it using an example of language that onlyallows arithmetic operations, but this customizer allows you to:
allow/disallow creation of closures
allow/disallow imports
allow/disallow package definition
allow/disallow definition of methods
restrict the receivers of method calls
restrict the kind of AST expressions a user can use
restrict the tokens (grammar-wise) a user can use
restrict the types of the constants that can be used in code
For all those features, the secure AST customizer works using either anallowed list (list of elements that are permitted) or a disallowed list (list ofelements that are not permitted). For each type of feature (imports,tokens, …) you have the choice to use either an allowed or disallowed list,but you can mix dis/allowed lists for distinct features. Typically,you will choose allowed lists (which permits only the constructs listed and disallows all others).
import org.codehaus.groovy.control.customizers.SecureASTCustomizerimport static org.codehaus.groovy.syntax.Types.*(1)def scz = new SecureASTCustomizer()scz.with { closuresAllowed = false // user will not be able to write closures methodDefinitionAllowed = false // user will not be able to define methods allowedImports = [] // empty allowed list means imports are disallowed allowedStaticImports = [] // same for static imports allowedStaticStarImports = ['java.lang.Math'] // only java.lang.Math is allowed // the list of tokens the user can find // constants are defined in org.codehaus.groovy.syntax.Types allowedTokens = [(1) PLUS, MINUS, MULTIPLY, DIVIDE, MOD, POWER, PLUS_PLUS, MINUS_MINUS, COMPARE_EQUAL, COMPARE_NOT_EQUAL, COMPARE_LESS_THAN, COMPARE_LESS_THAN_EQUAL, COMPARE_GREATER_THAN, COMPARE_GREATER_THAN_EQUAL, ].asImmutable() // limit the types of constants that a user can define to number types only allowedConstantTypesClasses = [(2) Integer, Float, Long, Double, BigDecimal, Integer.TYPE, Long.TYPE, Float.TYPE, Double.TYPE ].asImmutable() // method calls are only allowed if the receiver is of one of those types // be careful, it's not a runtime type! allowedReceiversClasses = [(2) Math, Integer, Float, Double, Long, BigDecimal ].asImmutable()}
1 | use for token types fromorg.codehaus.groovy.syntax.Types |
2 | you can use class literals here |
If what the secure AST customizer provides out of the box isn’t enoughfor your needs, before creating your own compilation customizer, youmight be interested in the expression and statement checkers that theAST customizer supports. Basically, it allows you to add custom checkson the AST tree, on expressions (expression checkers) or statements(statement checkers). For this, you mustimplement org.codehaus.groovy.control.customizers.SecureASTCustomizer.StatementChecker
or org.codehaus.groovy.control.customizers.SecureASTCustomizer.ExpressionChecker
.
Those interfaces define a single method called isAuthorized
, returninga boolean, and taking a Statement
(or Expression
) as a parameter. Itallows you to perform complex logic over expressions or statements totell if a user is allowed to do it or not.
For example, there’s no predefined configuration flag in the customizer whichwill let you prevent people from using an attribute expression. Using a customchecker, it is trivial:
def scz = new SecureASTCustomizer()def checker = { expr -> !(expr instanceof AttributeExpression)} as SecureASTCustomizer.ExpressionCheckerscz.addExpressionCheckers(checker)
Then we can make sure that this works by evaluating a simple script:
new GroovyShell(config).evaluate ''' class A { int val } def a = new A(val: 123) a.@val(1)'''
1 | will fail compilation |
Statements can be checked usingorg.codehaus.groovy.control.customizers.SecureASTCustomizer.StatementCheckerExpressions can be checked usingorg.codehaus.groovy.control.customizers.SecureASTCustomizer.ExpressionChecker
This customizer may be used as a filter on other customizers. Thefilter, in that case, is the org.codehaus.groovy.control.SourceUnit
.For this, the source aware customizer takes another customizer as adelegate, and it will apply customization of that delegate only and onlyif predicates on the source unit match.
SourceUnit
gives you access to multiple things but in particular thefile being compiled (if compiling from a file, of course). It givesyou the potential to perform operation based on the file name, forexample. Here is how you would create a source aware customizer:
import org.codehaus.groovy.control.customizers.SourceAwareCustomizerimport org.codehaus.groovy.control.customizers.ImportCustomizerdef delegate = new ImportCustomizer()def sac = new SourceAwareCustomizer(delegate)
Then you can use predicates on the source aware customizer:
// the customizer will only be applied to classes contained in a file name ending with 'Bean'sac.baseNameValidator = { baseName -> baseName.endsWith 'Bean'}// the customizer will only be applied to files which extension is '.spec'sac.extensionValidator = { ext -> ext == 'spec' }// source unit validation// allow compilation only if the file contains at most 1 classsac.sourceUnitValidator = { SourceUnit sourceUnit -> sourceUnit.AST.classes.size() == 1 }// class validation// the customizer will only be applied to classes ending with 'Bean'sac.classValidator = { ClassNode cn -> cn.endsWith('Bean') }
If you are using compilation customizers in Groovy code (like theexamples above) then you can use an alternative syntax to customize compilation.A builder (org.codehaus.groovy.control.customizers.builder.CompilerCustomizationBuilder
)simplifies the creation of customizers using a hierarchical DSL.
import org.codehaus.groovy.control.CompilerConfigurationimport static org.codehaus.groovy.control.customizers.builder.CompilerCustomizationBuilder.withConfig(1)def conf = new CompilerConfiguration()withConfig(conf) { // ...(2)}
1 | static import of the builder method |
2 | configuration goes here |
The code sample above shows how to use the builder. A staticmethod, withConfig, takes a closure corresponding to the builder code,and automatically registers compilation customizers to theconfiguration. Every compilation customizer available in the distributioncan be configured this way:
withConfig(configuration) { imports { // imports customizer normal 'my.package.MyClass' // a normal import alias 'AI', 'java.util.concurrent.atomic.AtomicInteger' // an aliased import star 'java.util.concurrent' // star imports staticMember 'java.lang.Math', 'PI' // static import staticMember 'pi', 'java.lang.Math', 'PI' // aliased static import }}
withConfig(conf) { ast(Log)(1)}withConfig(conf) { ast(Log, value: 'LOGGER')(2)}
1 | apply @Log transparently |
2 | apply @Log with a different name for the logger |
withConfig(conf) { secureAst { closuresAllowed = false methodDefinitionAllowed = false }}
withConfig(configuration){ source(extension: 'sgroovy') { ast(CompileStatic)(1) }}withConfig(configuration){ source(extensions: ['sgroovy','sg']) { ast(CompileStatic)(2) }}withConfig(configuration) { source(extensionValidator: { it.name in ['sgroovy','sg']}) { ast(CompileStatic)(2) }}withConfig(configuration) { source(basename: 'foo') { ast(CompileStatic)(3) }}withConfig(configuration) { source(basenames: ['foo', 'bar']) { ast(CompileStatic)(4) }}withConfig(configuration) { source(basenameValidator: { it in ['foo', 'bar'] }) { ast(CompileStatic)(4) }}withConfig(configuration) { source(unitValidator: { unit -> !unit.AST.classes.any { it.name == 'Baz' } }) { ast(CompileStatic)(5) }}
1 | apply CompileStatic AST annotation on .sgroovy files |
2 | apply CompileStatic AST annotation on .sgroovy or .sg files |
3 | apply CompileStatic AST annotation on files whose name is 'foo' |
4 | apply CompileStatic AST annotation on files whose name is 'foo' or 'bar' |
5 | apply CompileStatic AST annotation on files that do not contain a class named 'Baz' |
Inlined customizer allows you to write a compilation customizerdirectly, without having to create a class for it.
withConfig(configuration) { inline(phase:'CONVERSION') { source, context, classNode ->(1) println "visiting $classNode"(2) }}
1 | define an inlined customizer which will execute at the CONVERSION phase |
2 | prints the name of the class node being compiled |
Of course, the builder allows you to define multiple customizers atonce:
withConfig(configuration) { ast(ToString) ast(EqualsAndHashCode)}
configscript
commandline parameterSo far, we have described how you can customize compilation usinga CompilationConfiguration
class, but this is only possible if youembed Groovy and that you create your own instancesof CompilerConfiguration
(then use it to create aGroovyShell
,GroovyScriptEngine
, …).
If you want it to be applied on the classes you compile with the normalGroovy compiler (that is to say withgroovyc
,ant
orgradle
,for example), it is possible to use a commandline parameter namedconfigscript
that takes a Groovy configuration script as argument.
This script gives you access to theCompilerConfiguration
instance beforethe files are compiled (exposed into the configuration script as a variable namedconfiguration
),so that you can tweak it.
It also transparently integrates the compiler configuration builder above. As an example, let’s seehow you would activate static compilation by default on all classes.
Normally, classes in Groovy are compiled with a dynamic runtime. You can activate static compilationby placing an annotation named@CompileStatic
on any class. Some people would like to have thismode activated by default, that is to say not having to annotate (potentially many) classes.Usingconfigscript
, makes this possible.First of all, you need to create a file namedconfig.groovy
into saysrc/conf
withthe following contents:
withConfig(configuration) {(1) ast(groovy.transform.CompileStatic)}
1 | configuration references aCompilerConfiguration instance |
That is actually all you need. You don’t have to import the builder, it’s automaticallyexposed in the script. Then, compile your files using the following command line:
groovyc -configscript src/conf/config.groovy src/main/groovy/MyClass.groovy
We strongly recommend you to separate configuration files from classes,hence why we suggest using thesrc/main
andsrc/conf
directories above.
In a configuration script you can also set system properties, e.g.:
System.setProperty('spock.iKnowWhatImDoing.disableGroovyVersionCheck', 'true')
If you have numerous system properties to set, then using a configuration filewill reduce the need to set a bunch of system properties with a long command lineor appropriately defined environment variable.You can also share all the settings by simply sharing the config file.
If:
runtime metaprogramming doesn’t allow you to do what you want
you need to improve the performance of the execution of your DSLs
you want to leverage the same syntax as Groovy but with different semantics
you want to improve support for type checking in your DSLs
Then AST transformations are the way to go. Unlike the techniques used so far, AST transformations are meant tochange or generate code before it is compiled to bytecode. AST transformations are capable of adding new methods atcompile time for example, or totally changing the body of a method based on your needs. They are a very powerful toolbut also come at the price of not being easy to write. For more information about AST transformations, please takea look at thecompile-timemetaprogramming section of this manual.
It may be interesting, in some circumstances, to provide feedback about wrong code to the user as soon as possible,that is to say when the DSL script is compiled, rather than having to wait for the execution of the script. However,this is not often possible with dynamic code. Groovy actually provides a practical answer to this known astype checking extensions.
Many tasks require building things and the builder pattern is one techniqueused by developers to make building things easier, especially buildingof structures which are hierarchical in nature.This pattern is so ubiquitous that Groovy has special built-in support.Firstly, there are many built-in builders. Secondly, there areclasses which make it easier to write your own builders.
Groovy comes with many built-in builders. Let’s look at some of them.
A builder for generatingSimple API for XML (SAX) events.
If you have the following SAX handler:
class LogHandler extends org.xml.sax.helpers.DefaultHandler { String log = '' void startElement(String uri, String localName, String qName, org.xml.sax.Attributes attributes) { log += "Start Element: $localName, " } void endElement(String uri, String localName, String qName) { log += "End Element: $localName, " }}
You can useSaxBuilder
to generate SAX events for the handler like this:
def handler = new LogHandler()def builder = new groovy.xml.SAXBuilder(handler)builder.root() { helloWorld()}
And then check that everything worked as expected:
assert handler.log == 'Start Element: root, Start Element: helloWorld, End Element: helloWorld, End Element: root, '
A Groovy builder that works withStreaming API for XML (StAX) processors.
Here is a simple example using the StAX implementation of Java to generate XML:
def factory = javax.xml.stream.XMLOutputFactory.newInstance()def writer = new StringWriter()def builder = new groovy.xml.StaxBuilder(factory.createXMLStreamWriter(writer))builder.root(attribute:1) { elem1('hello') elem2('world')}assert writer.toString() == '<?xml version="1.0" ?><root attribute="1"><elem1>hello</elem1><elem2>world</elem2></root>'
An external library such asJettison can be used as follows:
@Grab('org.codehaus.jettison:jettison:1.3.3')@GrabExclude('stax:stax-api') // part of Java 6 and laterimport org.codehaus.jettison.mapped.*def writer = new StringWriter()def mappedWriter = new MappedXMLStreamWriter(new MappedNamespaceConvention(), writer)def builder = new groovy.xml.StaxBuilder(mappedWriter)builder.root(attribute:1) { elem1('hello') elem2('world')}assert writer.toString() == '{"root":{"@attribute":"1","elem1":"hello","elem2":"world"}}'
A builder for parsing HTML, XHTML and XML into aW3C DOM tree.
For example this XMLString
:
String recordsXML = ''' <records> <car name='HSV Maloo' make='Holden' year='2006'> <country>Australia</country> <record type='speed'>Production Pickup Truck with speed of 271kph</record> </car> <car name='P50' make='Peel' year='1962'> <country>Isle of Man</country> <record type='size'>Smallest Street-Legal Car at 99cm wide and 59 kg in weight</record> </car> <car name='Royale' make='Bugatti' year='1931'> <country>France</country> <record type='price'>Most Valuable Car at $15 million</record> </car> </records>'''
Can be parsed into a DOM tree with aDOMBuilder
like this:
def reader = new StringReader(recordsXML)def doc = groovy.xml.DOMBuilder.parse(reader)
And then processed further e.g. by usingDOMCategory:
def records = doc.documentElementuse(groovy.xml.dom.DOMCategory) { assert records.car.size() == 3}
NodeBuilder
is used for creating nested trees ofgroovy.util.Node objects for handling arbitrary data.To create a simple user list you use aNodeBuilder
like this:
def nodeBuilder = new NodeBuilder()def userlist = nodeBuilder.userlist { user(id: '1', firstname: 'John', lastname: 'Smith') { address(type: 'home', street: '1 Main St.', city: 'Springfield', state: 'MA', zip: '12345') address(type: 'work', street: '2 South St.', city: 'Boston', state: 'MA', zip: '98765') } user(id: '2', firstname: 'Alice', lastname: 'Doe')}
Now you can process the data further, e.g. by usingGPath expressions:
assert userlist.user.@firstname.join(', ') == 'John, Alice'assert userlist.user.find { it.@lastname == 'Smith' }.address.size() == 2
Groovy’sJsonBuilder
makes it easy to create Json. For example to create this Json string:
String carRecords = ''' { "records": { "car": { "name": "HSV Maloo", "make": "Holden", "year": 2006, "country": "Australia", "record": { "type": "speed", "description": "production pickup truck with speed of 271kph" } } } }'''
you can use aJsonBuilder
like this:
JsonBuilder builder = new JsonBuilder()builder.records { car { name 'HSV Maloo' make 'Holden' year 2006 country 'Australia' record { type 'speed' description 'production pickup truck with speed of 271kph' } }}String json = JsonOutput.prettyPrint(builder.toString())
We useJsonUnit to check that the builder produced the expected result:
JsonAssert.assertJsonEquals(json, carRecords)
If you need to customize the generated output you can pass aJsonGenerator
instance when creating aJsonBuilder
:
import groovy.json.*def generator = new JsonGenerator.Options() .excludeNulls() .excludeFieldsByName('make', 'country', 'record') .excludeFieldsByType(Number) .addConverter(URL) { url -> "http://groovy-lang.org" } .build()JsonBuilder builder = new JsonBuilder(generator)builder.records { car { name 'HSV Maloo' make 'Holden' year 2006 country 'Australia' homepage new URL('http://example.org') record { type 'speed' description 'production pickup truck with speed of 271kph' } }}assert builder.toString() == '{"records":{"car":{"name":"HSV Maloo","homepage":"http://groovy-lang.org"}}}'
UnlikeJsonBuilder
which creates a data structure in memory, which is handy in those situations where you want to alter the structure programmatically before output,StreamingJsonBuilder
directly streams to a writer without any intermediate memory data structure.If you do not need to modify the structure and want a more memory-efficient approach, useStreamingJsonBuilder
.
The usage ofStreamingJsonBuilder
is similar toJsonBuilder
. In order to create this Json string:
String carRecords = """ { "records": { "car": { "name": "HSV Maloo", "make": "Holden", "year": 2006, "country": "Australia", "record": { "type": "speed", "description": "production pickup truck with speed of 271kph" } } } }"""
you use aStreamingJsonBuilder
like this:
StringWriter writer = new StringWriter()StreamingJsonBuilder builder = new StreamingJsonBuilder(writer)builder.records { car { name 'HSV Maloo' make 'Holden' year 2006 country 'Australia' record { type 'speed' description 'production pickup truck with speed of 271kph' } }}String json = JsonOutput.prettyPrint(writer.toString())
We useJsonUnit to check the expected result:
JsonAssert.assertJsonEquals(json, carRecords)
If you need to customize the generated output you can pass aJsonGenerator
instance when creating aStreamingJsonBuilder
:
def generator = new JsonGenerator.Options() .excludeNulls() .excludeFieldsByName('make', 'country', 'record') .excludeFieldsByType(Number) .addConverter(URL) { url -> "http://groovy-lang.org" } .build()StringWriter writer = new StringWriter()StreamingJsonBuilder builder = new StreamingJsonBuilder(writer, generator)builder.records { car { name 'HSV Maloo' make 'Holden' year 2006 country 'Australia' homepage new URL('http://example.org') record { type 'speed' description 'production pickup truck with speed of 271kph' } }}assert writer.toString() == '{"records":{"car":{"name":"HSV Maloo","homepage":"http://groovy-lang.org"}}}'
SwingBuilder
allows you to create full-fledged Swing GUIs in a declarative and concise fashion. It accomplishes this by employing a common idiom in Groovy, builders.Builders handle the busywork of creating complex objects for you, such as instantiating children, calling Swing methods, and attaching these children to their parents.As a consequence, your code is much more readable and maintainable, while still allowing you to access to the full range of Swing components.
Here’s a simple example of usingSwingBuilder
:
import groovy.swing.SwingBuilderimport java.awt.BorderLayout as BLcount = 0new SwingBuilder().edt { frame(title: 'Frame', size: [250, 75], show: true) { borderLayout() textlabel = label(text: 'Click the button!', constraints: BL.NORTH) button(text:'Click Me', actionPerformed: {count++; textlabel.text = "Clicked ${count} time(s)."; println "clicked"}, constraints:BL.SOUTH) }}
Here is what it will look like:
This hierarchy of components would normally be created through a series of repetitive instantiations, setters, and finally attaching this child to its respective parent.UsingSwingBuilder
, however, allows you to define this hierarchy in its native form, which makes the interface design understandable simply by reading the code.
The flexibility shown here is made possible by leveraging the many programming features built-in to Groovy, such as closures, implicit constructor calling, import aliasing, and string interpolation.Of course, these do not have to be fully understood in order to useSwingBuilder
; as you can see from the code above, their uses are intuitive.
Here is a slightly more involved example, with an example ofSwingBuilder
code re-use via a closure.
import groovy.swing.SwingBuilderimport javax.swing.*import java.awt.*def swing = new SwingBuilder()def sharedPanel = { swing.panel() { label("Shared Panel") }}count = 0swing.edt { frame(title: 'Frame', defaultCloseOperation: JFrame.EXIT_ON_CLOSE, pack: true, show: true) { vbox { textlabel = label('Click the button!') button( text: 'Click Me', actionPerformed: { count++ textlabel.text = "Clicked ${count} time(s)." println "Clicked!" } ) widget(sharedPanel()) widget(sharedPanel()) } }}
Here’s another variation that relies on observable beans and binding:
import groovy.swing.SwingBuilderimport groovy.beans.Bindableclass MyModel { @Bindable int count = 0}def model = new MyModel()new SwingBuilder().edt { frame(title: 'Java Frame', size: [100, 100], locationRelativeTo: null, show: true) { gridLayout(cols: 1, rows: 2) label(text: bind(source: model, sourceProperty: 'count', converter: { v -> v? "Clicked $v times": ''})) button('Click me!', actionPerformed: { model.count++ }) }}
@Bindable is one of the core AST Transformations. It generates all the required boilerplate code to turn a simple bean into an observable one. Thebind()
node creates appropriatePropertyChangeListeners
that will update the interested parties whenever aPropertyChangeEvent
is fired.
Here we describeAntBuilder which lets you write Ant build scriptsin Groovy rather than XML. You may also be interested in using Groovyfrom Ant using theGroovy Ant task. |
Despite being primarily a build tool,Apache Ant isa very practical tool for manipulating files including zip files, copy, resource processing, and more.But if ever you’ve been working with abuild.xml
file or someJelly scriptand found yourself a little restricted by all those pointy brackets, orfound it a bit weird using XML as a scripting language and wantedsomething a little cleaner and more straight forward, then maybe Antscripting with Groovy might be what you’re after.
Groovy has a helper class calledAntBuilder
which makes the scriptingof Ant tasks really easy; allowing a real scripting language to be usedfor programming constructs (variables, methods, loops, logicalbranching, classes etc). It still looks like a neat concise version ofAnt’s XML without all those pointy brackets; though you can mix andmatch this markup inside your script. Ant itself is a collection of jarfiles. By adding them to your classpath, you can easily use them withinGroovy as is. We believe usingAntBuilder
leads to more concise andreadily understood syntax.
AntBuilder
exposes Ant tasks directly using the convenient builder notation thatwe are used to in Groovy. Here is the most basic example, which is printing a messageon the standard output:
def ant = new groovy.ant.AntBuilder()(1)ant.echo('hello from Ant!')(2)
1 | creates an instance ofAntBuilder |
2 | executes theecho task with the message in parameter |
Imagine that you need to create a ZIP file. It can be as simple as:
def ant = new AntBuilder()ant.zip(destfile: 'sources.zip', basedir: 'src')
In the next example, we demonstrate the use ofAntBuilder
to copy a list of filesusing a classical Ant pattern directly in Groovy:
// let's just call one taskant.echo("hello")// here is an example of a block of Ant inside GroovyMarkupant.sequential { echo("inside sequential") def myDir = "build/AntTest/" mkdir(dir: myDir) copy(todir: myDir) { fileset(dir: "src/test") { include(name: "**/*.groovy") } } echo("done")}// now let's do some normal Groovy againdef file = new File(ant.project.baseDir,"build/AntTest/some/pkg/MyTest.groovy")assert file.exists()
Another example would be iterating over a list of files matching a specific pattern:
// let's create a scanner of filesetsdef scanner = ant.fileScanner { fileset(dir:"src/test") { include(name:"**/My*.groovy") }}// now let's iterate overdef found = falsefor (f in scanner) { println("Found file $f") found = true assert f instanceof File assert f.name.endsWith(".groovy")}assert found
Or executing a JUnit test:
ant.junit { classpath { pathelement(path: '.') } test(name:'some.pkg.MyTest')}
We can even go further by compiling and executing a Java file directly from Groovy:
ant.echo(file:'Temp.java', ''' class Temp { public static void main(String[] args) { System.out.println("Hello"); } }''')ant.javac(srcdir:'.', includes:'Temp.java', fork:'true')ant.java(classpath:'.', classname:'Temp', fork:'true')ant.echo('Done')
It is worth mentioning thatAntBuilder
is included inGradle, so you can use it in Gradlejust like you would in Groovy. Additional documentation can be found in theGradle manual.
CliBuilder
provides a compact way to specify the available options for a commandline application and thenautomatically parse the application’s commandline parameters according to that specification. By convention,a distinction is made betweenoption commandline parameters and any remaining parameters which are passedto an application as its arguments. Typically, several types of options might be supported such as-V
or--tabsize=4
.CliBuilder
removes the burden of developing lots of code for commandline processing.Instead, it supports a somewhat declarative approach to declaring your options and then provides a single callto parse the commandline parameters with a simple mechanism to interrogate the options (you can think of thisas a simple model for your options).
Even though the details of each commandline you create could be quite different, the same main steps arefollowed each time. First, aCliBuilder
instance is created. Then, allowed commandline options are defined.This can be done using adynamic api style or anannotation style.The commandline parameters are then parsed according to the options specification resulting in acollection of options which are then interrogated.
Here is a simple exampleGreeter.groovy
script illustrating usage:
// import of CliBuilder not shown(1)// specify parametersdef cli = new CliBuilder(usage: 'groovy Greeter [option]')(2)cli.a(longOpt: 'audience', args: 1, 'greeting audience')(3)cli.h(longOpt: 'help', 'display usage')(4)// parse and process parametersdef options = cli.parse(args)(5)if (options.h) cli.usage()(6)else println "Hello ${options.a ? options.a : 'World'}"(7)
1 | Earlier versions of Groovy had a CliBuilder in thegroovy.util package and no import was necessary.In Groovy 2.5, this approach became deprecated: applications should instead choose thegroovy.cli.picocli orgroovy.cli.commons version.The groovy.util version in Groovy 2.5 points to the commons-cli version for backwards compatibility but has been removed in Groovy 3.0. |
2 | define a newCliBuilder instance specifying an optional usage string |
3 | specify a-a option taking a single argument with an optional long variant--audience |
4 | specify a-h option taking no arguments with an optional long variant--help |
5 | parse the commandline parameters supplied to the script |
6 | if theh option is found display a usage message |
7 | display a standard greeting or, if thea option is found, a customized greeting |
Running this script with no commandline parameters, i.e.:
> groovy Greeter
results in the following output:
Hello World
Running this script with-h
as the single commandline parameter, i.e.:
> groovy Greeter -h
results in the following output:
usage: groovy Greeter [option] -a,--audience <arg> greeting audience -h,--help display usage
Running this script with--audience Groovologist
as the commandline parameters, i.e.:
> groovy Greeter --audience Groovologist
results in the following output:
Hello Groovologist
When creating theCliBuilder
instance in the above example, we set the optionalusage
propertywithin the constructor call. This follows Groovy’s normal ability to set additional propertiesof the instance during construction. There are numerous other properties which can be setsuch asheader
andfooter
. For the complete set of available properties, see theavailable properties for thegroovy.util.CliBuilder class.
When defining an allowed commandline option, both a short name (e.g. "h" for thehelp
option shown previously)and a short description (e.g. "display usage" for thehelp
option) must be supplied.In our example above, we also set someadditional properties such aslongOpt
andargs
. The following additionalproperties are supported when specifying an allowed commandline option:
Name | Description | Type |
---|---|---|
argName | the name of the argument for this option used in output |
|
longOpt | the long representation or long name of the option |
|
args | the number of argument values |
|
optionalArg | whether the argument value is optional |
|
required | whether the option is mandatory |
|
type | the type of this option |
|
valueSeparator | the character that is the value separator |
|
defaultValue | a default value |
|
convert | converts the incoming String to the required type |
|
(1) More details later
(2) Single character Strings are coerced to chars in special cases in Groovy
If you have an option with only alongOpt
variant, you can use the special shortname of '_'to specify the option, e.g. :cli._(longOpt: 'verbose', 'enable verbose logging')
.Some of the remaining named parameters should be fairly self-explanatory while others deservea bit more explanation. But before further explanations, let’s look at ways of usingCliBuilder
with annotations.
Rather than making a series of method calls (albeit in a very declarative mini-DSL form)to specify the allowable options, you can provide an interface specification of the allowable options whereannotations are used to indicate and provide details for those options and for how unprocessedparameters are handled. Two annotations are used:groovy.cli.Option andgroovy.cli.Unparsed.
Here is how such a specification can be defined:
interface GreeterI { @Option(shortName='h', description='display usage') Boolean help()(1) @Option(shortName='a', description='greeting audience') String audience()(2) @Unparsed(description = "positional parameters") List remaining()(3)}
1 | Specify a Boolean option set using-h or--help |
2 | Specify a String option set using-a or--audience |
3 | Specify where any remaining parameters will be stored |
Note how the long name is automatically determined from the interface method name.You can use thelongName
annotation attribute to override that behavior and specifya custom long name if you wish or use a longName of '_' to indicate that no long nameis to be provided. You will need to specify a shortName in such a case.
Here is how you could use the interface specification:
// import CliBuilder not showndef cli = new CliBuilder(usage: 'groovy Greeter')(1)def argz = '--audience Groovologist'.split()def options = cli.parseFromSpec(GreeterI, argz)(2)assert options.audience() == 'Groovologist'(3)argz = '-h Some Other Args'.split()options = cli.parseFromSpec(GreeterI, argz)(4)assert options.help()assert options.remaining() == ['Some', 'Other', 'Args'](5)
1 | Create aCliBuilder instance as before with optional properties |
2 | Parse parameters using the interface specification |
3 | Interrogate options using the methods from the interface |
4 | Parse a different set of parameters |
5 | Interrogate the remaining parameters |
WhenparseFromSpec
is called,CliBuilder
automatically creates an instance implementing the interfaceand populates it. You simply call the interface methods to interrogate the option values.
Alternatively, perhaps you already have a domain class containing the option information.You can simply annotate properties or setters from that class to enableCliBuilder
to appropriatelypopulate your domain object. Each annotation both describes that option’s properties through the annotationattributes and indicates the setter theCliBuilder
will use to populate that option in your domain object.
Here is how such a specification can be defined:
class GreeterC { @Option(shortName='h', description='display usage') Boolean help(1) private String audience @Option(shortName='a', description='greeting audience') void setAudience(String audience) {(2) this.audience = audience } String getAudience() { audience } @Unparsed(description = "positional parameters") List remaining(3)}
1 | Indicate that a Boolean property is an option |
2 | Indicate that a String property (with explicit setter) is an option |
3 | Specify where any remaining args will be stored |
And here is how you could use the specification:
// import CliBuilder not showndef cli = new CliBuilder(usage: 'groovy Greeter [option]')(1)def options = new GreeterC()(2)def argz = '--audience Groovologist foo'.split()cli.parseFromInstance(options, argz)(3)assert options.audience == 'Groovologist'(4)assert options.remaining == ['foo'](5)
1 | Create aCliBuilder instance as before with optional parameters |
2 | Create an instance forCliBuilder to populate |
3 | Parse arguments populating the supplied instance |
4 | Interrogate the String option property |
5 | Interrogate the remaining arguments property |
WhenparseFromInstance
is called,CliBuilder
automatically populates your instance.You simply interrogate the instance properties (or whatever accessor methods you have providedin your domain object) to access the option values.
Finally, there are two additional convenience annotation aliases specifically for scripts. Theysimply combine the previously mentioned annotations andgroovy.transform.Field.The groovydoc for those annotations reveals the details:groovy.cli.OptionField andgroovy.cli.UnparsedField.
Here is an example using those annotations in a self-contained script that would be calledwith the same arguments as shown for the instance example earlier:
// import CliBuilder not shownimport groovy.cli.OptionFieldimport groovy.cli.UnparsedField@OptionField String audience@OptionField Boolean help@UnparsedField List remainingnew CliBuilder().parseFromInstance(this, args)assert audience == 'Groovologist'assert remaining == ['foo']
We saw in our initial example that some options act like flags, e.g.Greeter -h
butothers take an argument, e.g.Greeter --audience Groovologist
. The simplest casesinvolve options which act like flags or have a single (potentially optional) argument.Here is an example involving those cases:
// import CliBuilder not showndef cli = new CliBuilder()cli.a(args: 0, 'a arg')(1)cli.b(args: 1, 'b arg')(2)cli.c(args: 1, optionalArg: true, 'c arg')(3)def options = cli.parse('-a -b foo -c bar baz'.split())(4)assert options.a == trueassert options.b == 'foo'assert options.c == 'bar'assert options.arguments() == ['baz']options = cli.parse('-a -c -b foo bar baz'.split())(5)assert options.a == trueassert options.c == trueassert options.b == 'foo'assert options.arguments() == ['bar', 'baz']
1 | An option that is simply a flag - the default; setting args to 0 is allowed but not needed. |
2 | An option with exactly one argument |
3 | An option with an optional argument; it acts like a flag if the option is left out |
4 | An example using this spec where an argument is supplied to the 'c' option |
5 | An example using this spec where no argument is supplied to the 'c' option; it’s just a flag |
Note: when an option with an optional argument is encountered, it will (somewhat) greedily consume thenext parameter from the supplied commandline parameters. If however, the next parameter matches a known long or shortoption (with leading single or double hyphens), that will take precedence, e.g.-b
in the above example.
Option arguments may also be specified using the annotation style. Here is an interface option specificationillustrating such a definition:
interface WithArgsI { @Option boolean a() @Option String b() @Option(optionalArg=true) String[] c() @Unparsed List remaining()}
And here is how it is used:
def cli = new CliBuilder()def options = cli.parseFromSpec(WithArgsI, '-a -b foo -c bar baz'.split())assert options.a()assert options.b() == 'foo'assert options.c() == ['bar']assert options.remaining() == ['baz']options = cli.parseFromSpec(WithArgsI, '-a -c -b foo bar baz'.split())assert options.a()assert options.c() == []assert options.b() == 'foo'assert options.remaining() == ['bar', 'baz']
This example makes use of an array-typed option specification. We cover this in more detail shortly when we discussmultiple arguments.
Arguments on the commandline are by nature Strings (or arguably can be considered Booleans for flags) but can beconverted to richer types automatically by supplying additional typing information. For theannotation-based argument definition style, these types are supplied using the field types for annotationproperties or return types of annotated methods (or the setter argument type for setter methods).For the dynamic method style of argument definition a special 'type' property is supportedwhich allows you to specify a Class name.
When an explicit type is defined, theargs
named-parameter is assumed to be 1 (except for Boolean-typedoptions where it is 0 by default). An explicitargs
parameter can still be provided if needed.Here is an example using types with the dynamic api argument definition style:
def argz = '''-a John -b -d 21 -e 1980 -f 3.5 -g 3.14159 -h cv.txt -i DOWN and some more'''.split()def cli = new CliBuilder()cli.a(type: String, 'a-arg')cli.b(type: boolean, 'b-arg')cli.c(type: Boolean, 'c-arg')cli.d(type: int, 'd-arg')cli.e(type: Long, 'e-arg')cli.f(type: Float, 'f-arg')cli.g(type: BigDecimal, 'g-arg')cli.h(type: File, 'h-arg')cli.i(type: RoundingMode, 'i-arg')def options = cli.parse(argz)assert options.a == 'John'assert options.bassert !options.cassert options.d == 21assert options.e == 1980Lassert options.f == 3.5fassert options.g == 3.14159assert options.h == new File('cv.txt')assert options.i == RoundingMode.DOWNassert options.arguments() == ['and', 'some', 'more']
Primitives, numeric types, files, enums and arrays thereof, are supported (they are converted usingorg.codehaus.groovy.runtime.StringGroovyMethods#asType).
If the supported types aren’t sufficient, you can supply a closure to handle the String to rich type conversionfor you. Here is a sample using the dynamic api style:
def argz = '''-a John -b Mary -d 2016-01-01 and some more'''.split()def cli = new CliBuilder()def lower = { it.toLowerCase() }cli.a(convert: lower, 'a-arg')cli.b(convert: { it.toUpperCase() }, 'b-arg')cli.d(convert: { Date.parse('yyyy-MM-dd', it) }, 'd-arg')def options = cli.parse(argz)assert options.a == 'john'assert options.b == 'MARY'assert options.d.format('dd-MM-yyyy') == '01-01-2016'assert options.arguments() == ['and', 'some', 'more']
Alternatively, you can use the annotation style by supplying the conversion closure as an annotation parameter.Here is an example specification:
interface WithConvertI { @Option(convert={ it.toLowerCase() }) String a() @Option(convert={ it.toUpperCase() }) String b() @Option(convert={ Date.parse("yyyy-MM-dd", it) }) Date d() @Unparsed List remaining()}
And an example using that specification:
Date newYears = Date.parse("yyyy-MM-dd", "2016-01-01")def argz = '''-a John -b Mary -d 2016-01-01 and some more'''.split()def cli = new CliBuilder()def options = cli.parseFromSpec(WithConvertI, argz)assert options.a() == 'john'assert options.b() == 'MARY'assert options.d() == newYearsassert options.remaining() == ['and', 'some', 'more']
Multiple arguments are also supported using anargs
value greater than 1. There is a special named parameter,valueSeparator
, which can also be optionally used when processing multiple arguments. It allows some additionalflexibility in the syntax supported when supplying such argument lists on the commandline. For example,supplying a value separator of ',' allows a comma-delimited list of values to be passed on the commandline.
Theargs
value is normally an integer. It can be optionally supplied as a String. There are two specialString symbols:` and `\*`.The `*` value means 0 or more. The `
value means 1 or more.The*
value is the same as using+
and also setting theoptionalArg
value to true.
Accessing the multiple arguments follows a special convention. Simply add an 's' to the normal propertyyou would use to access the argument option and you will retrieve all the supplied arguments as a list.So, for a short option named 'a', you access the first 'a' argument usingoptions.a
and the list ofall arguments usingoptions.as
. It’s fine to have a shortname or longname ending in 's' so long as youdon’t also have the singular variant without the 's'. So, ifname
is one of your options with multiple argumentsandguess
is another with a single argument, there will be no confusion usingoptions.names
andoptions.guess
.
Here is an excerpt highlighting the use of multiple arguments:
// import CliBuilder not showndef cli = new CliBuilder()cli.a(args: 2, 'a-arg')cli.b(args: '2', valueSeparator: ',', 'b-arg')(1)cli.c(args: '+', valueSeparator: ',', 'c-arg')(2)def options = cli.parse('-a 1 2 3 4'.split())(3)assert options.a == '1'(4)assert options.as == ['1', '2'](5)assert options.arguments() == ['3', '4']options = cli.parse('-a1 -a2 3'.split())(6)assert options.as == ['1', '2']assert options.arguments() == ['3']options = cli.parse(['-b1,2'])(7)assert options.bs == ['1', '2']options = cli.parse(['-c', '1'])assert options.cs == ['1']options = cli.parse(['-c1'])assert options.cs == ['1']options = cli.parse(['-c1,2,3'])assert options.cs == ['1', '2', '3']
1 | Args value supplied as a String and comma value separator specified |
2 | One or more arguments are allowed |
3 | Two commandline parameters will be supplied as the 'b' option’s list of arguments |
4 | Access the 'a' option’s first argument |
5 | Access the 'a' option’s list of arguments |
6 | An alternative syntax for specifying two arguments for the 'a' option |
7 | The arguments to the 'b' option supplied as a comma-separated value |
As an alternative to accessing multiple arguments using theplural name approach, you can use anarray-based type for the option. In this case, all options will always be returned via the arraywhich is accessed via the normal singular name. We’ll see an example of this next when discussingtypes.
Multiple arguments are also supported using the annotation style of option definition by using anarray type for the annotated class member (method or property) as this example shows:
interface ValSepI { @Option(numberOfArguments=2) String[] a() @Option(numberOfArgumentsString='2', valueSeparator=',') String[] b() @Option(numberOfArgumentsString='+', valueSeparator=',') String[] c() @Unparsed remaining()}
And used as follows:
def cli = new CliBuilder()def options = cli.parseFromSpec(ValSepI, '-a 1 2 3 4'.split())assert options.a() == ['1', '2']assert options.remaining() == ['3', '4']options = cli.parseFromSpec(ValSepI, '-a1 -a2 3'.split())assert options.a() == ['1', '2']assert options.remaining() == ['3']options = cli.parseFromSpec(ValSepI, ['-b1,2'] as String[])assert options.b() == ['1', '2']options = cli.parseFromSpec(ValSepI, ['-c', '1'] as String[])assert options.c() == ['1']options = cli.parseFromSpec(ValSepI, ['-c1'] as String[])assert options.c() == ['1']options = cli.parseFromSpec(ValSepI, ['-c1,2,3'] as String[])assert options.c() == ['1', '2', '3']
Here is an example using types and multiple arguments with the dynamic api argument definition style:
def argz = '''-j 3 4 5 -k1.5,2.5,3.5 and some more'''.split()def cli = new CliBuilder()cli.j(args: 3, type: int[], 'j-arg')cli.k(args: '+', valueSeparator: ',', type: BigDecimal[], 'k-arg')def options = cli.parse(argz)assert options.js == [3, 4, 5](1)assert options.j == [3, 4, 5](1)assert options.k == [1.5, 2.5, 3.5]assert options.arguments() == ['and', 'some', 'more']
1 | For an array type, the trailing 's' can be used but isn’t needed |
Groovy makes it easy using the Elvis operator to provide a default value at the point of usage of some variable,e.g.String x = someVariable ?: 'some default'
. But sometimes you wish to make such a default part of theoptions specification to minimise the interrogators work in later stages.CliBuilder
supports thedefaultValue
property to cater for this scenario.
Here is how you could use it using the dynamic api style:
def cli = new CliBuilder()cli.f longOpt: 'from', type: String, args: 1, defaultValue: 'one', 'f option'cli.t longOpt: 'to', type: int, defaultValue: '35', 't option'def options = cli.parse('-f two'.split())assert options.hasOption('f')assert options.f == 'two'assert !options.hasOption('t')assert options.t == 35options = cli.parse('-t 45'.split())assert !options.hasOption('from')assert options.from == 'one'assert options.hasOption('to')assert options.to == 45
Similarly, you might want such a specification using the annotation style. Here is an example using an interfacespecification:
interface WithDefaultValueI { @Option(shortName='f', defaultValue='one') String from() @Option(shortName='t', defaultValue='35') int to()}
Which would be used like this:
def cli = new CliBuilder()def options = cli.parseFromSpec(WithDefaultValueI, '-f two'.split())assert options.from() == 'two'assert options.to() == 35options = cli.parseFromSpec(WithDefaultValueI, '-t 45'.split())assert options.from() == 'one'assert options.to() == 45
You can also use thedefaultValue
annotation attribute when using annotations with an instance,though it’s probably just as easy to provide an initial value for the property (or backing field).
TypeChecked
The dynamic api style of usingCliBuilder
is inherently dynamic but you have a few optionsshould you want to make use of Groovy’s static type checking capabilities. Firstly, consider using theannotation style, for example, here is an interface option specification:
interface TypeCheckedI{ @Option String name() @Option int age() @Unparsed List remaining()}
And it can be used in combination with@TypeChecked
as shown here:
@TypeCheckedvoid testTypeCheckedInterface() { def argz = "--name John --age 21 and some more".split() def cli = new CliBuilder() def options = cli.parseFromSpec(TypeCheckedI, argz) String n = options.name() int a = options.age() assert n == 'John' && a == 21 assert options.remaining() == ['and', 'some', 'more']}
Secondly, there is a feature of the dynamic api style which offers some support. The definition statementsare inherently dynamic but actually return a value which we have ignored in earlier examples.The returned value is in fact aTypedOption<Type>
and specialgetAt
support allows the optionsto be interrogated using the typed option, e.g.options[savedTypeOption]
. So, if you have statementssimilar to these in a non type checked part of your code:
def cli = new CliBuilder()TypedOption<Integer> age = cli.a(longOpt: 'age', type: Integer, 'some age option')
Then, the following statements can be in a separate part of your code which is type checked:
def args = '--age 21'.split()def options = cli.parse(args)int a = options[age]assert a == 21
Finally, there is one additional convenience method offered byCliBuilder
to even allow thedefinition part to be type checked. It is a slightly more verbose method call. Instead of usingthe short name (theopt name) in the method call, you use a fixed name ofoption
andsupply theopt
value as a property. You must also specify the type directly as shown inthe following example:
import groovy.cli.TypedOptionimport groovy.transform.TypeChecked@TypeCheckedvoid testTypeChecked() { def cli = new CliBuilder() TypedOption<String> name = cli.option(String, opt: 'n', longOpt: 'name', 'name option') TypedOption<Integer> age = cli.option(Integer, longOpt: 'age', 'age option') def argz = "--name John --age 21 and some more".split() def options = cli.parse(argz) String n = options[name] int a = options[age] assert n == 'John' && a == 21 assert options.arguments() == ['and', 'some', 'more']}
NOTE Advanced CLI features
|
As an example, here is some code for making use of Apache Commons CLI’s grouping mechanism:
import org.apache.commons.cli.*def cli = new CliBuilder()cli.f longOpt: 'from', 'f option'cli.u longOpt: 'until', 'u option'def optionGroup = new OptionGroup()optionGroup.with { addOption cli.option('o', [longOpt: 'output'], 'o option') addOption cli.option('d', [longOpt: 'directory'], 'd option')}cli.options.addOptionGroup optionGroupassert !cli.parse('-d -o'.split())(1)
1 | The parse will fail since only one option from a group can be used at a time. |
Below are some features available in the picocli version ofCliBuilder
.
New property: errorWriter
When users of your application give invalid command line arguments,CliBuilder writes an error message and the usage help message to thestderr
output stream.It doesn’t use thestdout
stream to prevent the error message from being parsed when your program’soutput is used as input for another process.You can customize the destination by setting theerrorWriter
to a different value.
On the other hand,CliBuilder.usage()
prints the usage help message to thestdout
stream.This way, when users request help (e.g. with a--help
parameter),they can pipe the output to a utility likeless
orgrep
.
You can specify different writers for testing.Be aware that for backwards compatibility, setting thewriter
property to a different valuewill setboth thewriter
and theerrorWriter
to the specified writer.
ANSI colors
The picocli version of CliBuilder renders the usage help message in ANSI colors on supported platforms automatically.If desired you cancustomize this.(An example follows below.)
New property: name
As before, you can set the synopsis of the usage help message with theusage
property.You may be interested in a small improvement:if you only set the commandname
, a synopsis will be generated automatically,with repeating elements followed by…
and optional elements surrounded with[
and]
.(An example follows below.)
New property: usageMessage
This property exposes aUsageMessageSpec
object from the underlying picocli library,which gives fine-grained control over various sections of the usage help message. For example:
def cli = new CliBuilder()cli.name = "myapp"cli.usageMessage.with { headerHeading("@|bold,underline Header heading:|@%n") header("Header 1", "Header 2") // before the synopsis synopsisHeading("%n@|bold,underline Usage:|@ ") descriptionHeading("%n@|bold,underline Description heading:|@%n") description("Description 1", "Description 2") // after the synopsis optionListHeading("%n@|bold,underline Options heading:|@%n") footerHeading("%n@|bold,underline Footer heading:|@%n") footer("Footer 1", "Footer 2")}cli.a('option a description')cli.b('option b description')cli.c(args: '*', 'option c description')cli.usage()
Gives this output:
Property: parser
Theparser
property gives access to the picocliParserSpec
object that can be used to customize the parser behavior.
This can be useful when theCliBuilder
options to control the parser are not fine-grained enough.For example, for backward compatibility with the Commons CLI implementation ofCliBuilder
, by defaultCliBuilder
stops looking for options when an unknown option is encountered, and subsequent command line arguments are treated as positional parameters.CliBuilder
provides astopAtNonOption
property, and by setting this tofalse
you can make the parser more strict, so an unknown option results inerror: Unknown option: '-x'
.
But what if you want to treat unknown options as positional parameters, and still process subsequent command line arguments as options?
This can be accomplished with theparser
property.For example:
def cli = new CliBuilder()cli.parser.stopAtPositional(false)cli.parser.unmatchedOptionsArePositionalParams(true)// ...def opts = cli.parse(args)// ...
See thedocumentation for details.
Map options
Finally, if your application has options that are key-value pairs, you may be interested in picocli’s support for maps. For example:
import java.util.concurrent.TimeUnitimport static java.util.concurrent.TimeUnit.DAYSimport static java.util.concurrent.TimeUnit.HOURSdef cli = new CliBuilder()cli.D(args: 2, valueSeparator: '=', 'the old way')(1)cli.X(type: Map, 'the new way')(2)cli.Z(type: Map, auxiliaryTypes: [TimeUnit, Integer].toArray(), 'typed map')(3)def options = cli.parse('-Da=b -Dc=d -Xx=y -Xi=j -ZDAYS=2 -ZHOURS=23'.split())(4)assert options.Ds == ['a', 'b', 'c', 'd'](5)assert options.Xs == [ 'x':'y', 'i':'j' ](6)assert options.Zs == [ (DAYS as TimeUnit):2, (HOURS as TimeUnit):23 ](7)
1 | Previously,key=value pairs were split up into parts and added to a list |
2 | Picocli map support: simply specifyMap as the type of the option |
3 | You can even specify the type of the map elements |
4 | To compare, let’s specify two key-value pairs for each option |
5 | Previously, all key-value pairs end up in a list and it is up to the application to work with this list |
6 | Picocli returns the key-value pairs as aMap |
7 | Both keys and values of the map can be strongly typed |
Controlling the Picocli version
To use a specific version of picocli, add a dependency to that version in your build configuration.If running scripts using a pre-installed version of Groovy, use the@Grab
annotation to control the version of picocli to use inCliBuilder
.
@GrabConfig(systemClassLoader=true)@Grab('info.picocli:picocli:4.2.0')import groovy.cli.picocli.CliBuilderdef cli = new CliBuilder()
ObjectGraphBuilder
is a builder for an arbitrary graph of beans thatfollow the JavaBean convention. It is in particular useful for creating test data.
Let’s start with a list of classes that belong to your domain:
package com.acmeclass Company { String name Address address List employees = []}class Address { String line1 String line2 int zip String state}class Employee { String name int employeeId Address address Company company}
Then usingObjectGraphBuilder
building aCompany
with three employees is aseasy as:
def builder = new ObjectGraphBuilder()(1)builder.classLoader = this.class.classLoader(2)builder.classNameResolver = "com.acme"(3)def acme = builder.company(name: 'ACME') {(4) 3.times { employee(id: it.toString(), name: "Drone $it") {(5) address(line1:"Post street")(6) } }}assert acme != nullassert acme instanceof Companyassert acme.name == 'ACME'assert acme.employees.size() == 3def employee = acme.employees[0]assert employee instanceof Employeeassert employee.name == 'Drone 0'assert employee.address instanceof Address
1 | creates a new object graph builder |
2 | sets the classloader where the classes will be resolved |
3 | sets the base package name for classes to be resolved |
4 | creates aCompany instance |
5 | with 3Employee instances |
6 | each of them having a distinctAddress |
Behind the scenes, the object graph builder:
will try to match a node name into aClass
, using a defaultClassNameResolver
strategy that requires a package name
then will create an instance of the appropriate class using a defaultNewInstanceResolver
strategy that calls a no-arg constructor
resolves the parent/child relationship for nested nodes, involving two other strategies:
RelationNameResolver
will yield the name of the child property in the parent, and the name of the parent propertyin the child (if any, in this case,Employee
has a parent property aptly namedcompany
)
ChildPropertySetter
will insert the child into the parent taking into account if the child belongs to aCollection
or not (in this caseemployees
should be a list ofEmployee
instances inCompany
).
All 4 strategies have a default implementation that work as expected ifthe code follows the usual conventions for writing JavaBeans. In case any of your beans or objects do not follow the conventionyou may plug your own implementation of each strategy. For example imagine that you need to build a class which isimmutable:
@Immutableclass Person { String name int age}
Then if you try to create aPerson
with the builder:
def person = builder.person(name:'Jon', age:17)
It will fail at runtime with:
Cannot set readonly property: name for class: com.acme.Person
Fixing this can be done by changing the new instance strategy:
builder.newInstanceResolver = { Class klazz, Map attributes -> if (klazz.getConstructor(Map)) { def o = klazz.newInstance(attributes) attributes.clear() return o } klazz.newInstance()}
ObjectGraphBuilder
supports ids per node, meaningthat you can store a reference to a node in the builder. This isuseful when multiple objects reference the same instance. Because aproperty namedid
may be of business meaning in some domain modelsObjectGraphBuilder
has a strategy namedIdentifierResolver
that youmay configure to change the default name value. The same mayhappen with the property used for referencing a previously savedinstance, a strategy namedReferenceResolver
will yield theappropriate value (default is `refId'):
def company = builder.company(name: 'ACME') { address(id: 'a1', line1: '123 Groovy Rd', zip: 12345, state: 'JV')(1) employee(name: 'Duke', employeeId: 1, address: a1)(2) employee(name: 'John', employeeId: 2 ){ address( refId: 'a1' )(3) }}
1 | an address can be created with anid |
2 | an employee can reference the address directly with its id |
3 | or use therefId attribute corresponding to theid of the corresponding address |
Its worth mentioning that you cannot modify the properties of areferenced bean.
SeeWorking with JMX - JmxBuilder for details.
groovy.util.FileTreeBuilder is a builder for generating a file directory structure from a specification. For example, to create the following tree:
src/ |--- main | |--- groovy | |--- Foo.groovy |--- test |--- groovy |--- FooTest.groovy
You can use aFileTreeBuilder
like this:
tmpDir = File.createTempDir()def fileTreeBuilder = new FileTreeBuilder(tmpDir)fileTreeBuilder.dir('src') { dir('main') { dir('groovy') { file('Foo.groovy', 'println "Hello"') } } dir('test') { dir('groovy') { file('FooTest.groovy', 'class FooTest extends groovy.test.GroovyTestCase {}') } } }
To check that everything worked as expected we use the following `assert`s:
assert new File(tmpDir, '/src/main/groovy/Foo.groovy').text == 'println "Hello"'assert new File(tmpDir, '/src/test/groovy/FooTest.groovy').text == 'class FooTest extends groovy.test.GroovyTestCase {}'
FileTreeBuilder
also supports a shorthand syntax:
tmpDir = File.createTempDir()def fileTreeBuilder = new FileTreeBuilder(tmpDir)fileTreeBuilder.src { main { groovy { 'Foo.groovy'('println "Hello"') } } test { groovy { 'FooTest.groovy'('class FooTest extends groovy.test.GroovyTestCase {}') } } }
This produces the same directory structure as above, as shown by these `assert`s:
assert new File(tmpDir, '/src/main/groovy/Foo.groovy').text == 'println "Hello"'assert new File(tmpDir, '/src/test/groovy/FooTest.groovy').text == 'class FooTest extends groovy.test.GroovyTestCase {}'
While Groovy has many built-in builders, the builder pattern is so common,you will no doubt eventually come across a building requirement thathasn’t been catered for by those built-in builders.The good news is that you can build your own.You can do everything from scratch by relying on Groovy’smetaprogramming capabilities. Alternatively, theBuilderSupport
andFactoryBuilderSupport
classes make designing your ownbuilders much easier.
One approach to building a builder is to subclassBuilderSupport
.With this approach, the general idea is to override one or more of a number oflifecycle methods includingsetParent
,nodeCompleted
and some orall of thecreateNode
methods from theBuilderSupport
abstract class.
As an example, suppose we want to create a builder oftracking athletic training programs. Each program is madeup of a number of sets and each set has its own steps.A step might itself be a set of smaller steps.For eachset
orstep
, we might wish to recordthedistance
required (ortime
), whether torepeat
the steps a certain number of times, whether to take abreak
between each step and so forth.
For the simplicity of this example, we’ll capture the trainingprogramming using maps and lists. A set has a list of steps.Information likerepeat
count ordistance
will be trackedin a map of attributes for each step and set.
The builder implementation is as follows:
Override a couple of thecreateNode
methods.We’ll create a map capturing the set name, an empty list of steps,and potentially some attributes.
Whenever we complete a node we’ll add the node to the list of stepsfor the parent (if any).
The code looks like this:
class TrainingBuilder1 extends BuilderSupport { protected createNode(name) { [name: name, steps: []] } protected createNode(name, Map attributes) { createNode(name) + attributes } void nodeCompleted(maybeParent, node) { if (maybeParent) maybeParent.steps << node } // unused lifecycle methods protected void setParent(parent, child) { } protected createNode(name, Map attributes, value) { } protected createNode(name, value) { }}
Next, we’ll write a little helper method which recursivelyadds up the distances of all substeps, accounting for repeated stepsas needed.
def total(map) { if (map.distance) return map.distance def repeat = map.repeat ?: 1 repeat * map.steps.sum{ total(it) }}
Finally, we can now use our builder and helper method to create aswimming training program and check its total distance:
def training = new TrainingBuilder1()def monday = training.swimming { warmup(repeat: 3) { freestyle(distance: 50) breaststroke(distance: 50) } endurance(repeat: 20) { freestyle(distance: 50, break: 15) } warmdown { kick(distance: 100) choice(distance: 100) }}assert 1500 == total(monday)
A second approach to building a builder is to subclassFactoryBuilderSupport
.This builder has similar goals toBuilderSupport
but with extra featuresto simplify domain class construction.
With this approach, the general idea is to override one or more of a number oflifecycle methods includingresolveFactory
,nodeCompleted
andpostInstantiate
methods from theFactoryBuilderSupport
abstract class.
We’ll use the same example as for the previousBuilderSupport
example;a builder of tracking athletic training programs.
For this example, rather than capturing the trainingprogramming using maps and lists, we’ll use some simple domain classes.
The builder implementation is as follows:
Override theresolveFactory
method to return a specialfactory which returns classes by capitalizing the names used in our mini DSL.
Whenever we complete a node we’ll add the node to the list of stepsfor the parent (if any).
The code, including the code for the special factory class, looks like this:
import static org.apache.groovy.util.BeanUtils.capitalizeclass TrainingBuilder2 extends FactoryBuilderSupport { def factory = new TrainingFactory(loader: getClass().classLoader) protected Factory resolveFactory(name, Map attrs, value) { factory } void nodeCompleted(maybeParent, node) { if (maybeParent) maybeParent.steps << node }}class TrainingFactory extends AbstractFactory { ClassLoader loader def newInstance(FactoryBuilderSupport fbs, name, value, Map attrs) { def clazz = loader.loadClass(capitalize(name)) value ? clazz.newInstance(value: value) : clazz.newInstance() }}
Rather than using lists and maps, we’ll have some simple domain classesand related traits:
trait HasDistance { int distance}trait Container extends HasDistance { List steps = [] int repeat}class Cycling implements Container { }class Interval implements Container { }class Sprint implements HasDistance {}class Tempo implements HasDistance {}
Just like for theBuilderSupport
example, it is useful to have a helper methodto calculate the total distance covered during the training session.The implementation is very similar to our earlier example, but is adjustedto work well with our newly defined traits.
def total(HasDistance c) { c.distance}def total(Container c) { if (c.distance) return c.distance def repeat = c.repeat ?: 1 repeat * c.steps.sum{ total(it) }}
Finally, we can now use our new builder and helper methods to create acycling training program and check its total distance:
def training = new TrainingBuilder2()def tuesday = training.cycling { interval(repeat: 5) { sprint(distance: 400) tempo(distance: 3600) }}assert 20000 == total(tuesday)
TheJava Management Extensions (JMX)technology provides a standard way of managing resources such as applications, devices, and services on the JDK.Each resource to be managed is represented by aManaged Bean (orMBean).Given that Groovy sits directly on top of Java, Groovy can leverage the tremendous amount of work alreadydone for JMX with Java. In addition, Groovy provides aGroovyMBean
class, in thegroovy-jmx
module,which makes an MBean look like a normal Groovy object and simplifies Groovy code for interacting with MBeans.For example, the following code:
println server.getAttribute(beanName, 'Age')server.setAttribute(beanName, new Attribute('Name', 'New name'))Object[] params = [5, 20]String[] signature = [Integer.TYPE, Integer.TYPE]println server.invoke(beanName, 'add', params, signature)
can be simplified to:
def mbean = new GroovyMBean(server, beanName)println mbean.Agembean.Name = 'New name'println mbean.add(5, 20)
The remainder of this page shows you how to:
Monitor the JVM using MXBeans
Monitor Apache Tomcat and display statistics
Monitor Oracle OC4J and display information
Monitor BEA WebLogic and display information
Leverage Spring’s MBean annotation support to export your Groovy beans as MBeans
MBeans are not accessed directly by an application but are managed by a repository called anMBean server. Java includes a special MBean server called theplatform MBean server, which is built into the JVM. Platform MBeans are registered in this server using unique names.
You can monitor the JVM through its platform MBeans with the following code:
import java.lang.management.*def os = ManagementFactory.operatingSystemMXBeanprintln """OPERATING SYSTEM:\tarchitecture = $os.arch\tname = $os.name\tversion = $os.version\tprocessors = $os.availableProcessors"""def rt = ManagementFactory.runtimeMXBeanprintln """RUNTIME:\tname = $rt.name\tspec name = $rt.specName\tvendor = $rt.specVendor\tspec version = $rt.specVersion\tmanagement spec version = $rt.managementSpecVersion"""def cl = ManagementFactory.classLoadingMXBeanprintln """CLASS LOADING SYSTEM:\tisVerbose = ${cl.isVerbose()}\tloadedClassCount = $cl.loadedClassCount\ttotalLoadedClassCount = $cl.totalLoadedClassCount\tunloadedClassCount = $cl.unloadedClassCount"""def comp = ManagementFactory.compilationMXBeanprintln """COMPILATION:\ttotalCompilationTime = $comp.totalCompilationTime"""def mem = ManagementFactory.memoryMXBeandef heapUsage = mem.heapMemoryUsagedef nonHeapUsage = mem.nonHeapMemoryUsageprintln """MEMORY:HEAP STORAGE:\tcommitted = $heapUsage.committed\tinit = $heapUsage.init\tmax = $heapUsage.max\tused = $heapUsage.usedNON-HEAP STORAGE:\tcommitted = $nonHeapUsage.committed\tinit = $nonHeapUsage.init\tmax = $nonHeapUsage.max\tused = $nonHeapUsage.used"""ManagementFactory.memoryPoolMXBeans.each { mp -> println "\tname: " + mp.name String[] mmnames = mp.memoryManagerNames mmnames.each{ mmname -> println "\t\tManager Name: $mmname" } println "\t\tmtype = $mp.type" println "\t\tUsage threshold supported = " + mp.isUsageThresholdSupported()}println()def td = ManagementFactory.threadMXBeanprintln "THREADS:"td.allThreadIds.each { tid -> println "\tThread name = ${td.getThreadInfo(tid).threadName}"}println()println "GARBAGE COLLECTION:"ManagementFactory.garbageCollectorMXBeans.each { gc -> println "\tname = $gc.name" println "\t\tcollection count = $gc.collectionCount" println "\t\tcollection time = $gc.collectionTime" String[] mpoolNames = gc.memoryPoolNames mpoolNames.each { mpoolName -> println "\t\tmpool name = $mpoolName" }}
When run, you will see something like this:
OPERATING SYSTEM: architecture = amd64 name = Windows 10 version = 10.0 processors = 12RUNTIME: name = 724176@QUOKKA spec name = Java Virtual Machine Specification vendor = Oracle Corporation spec version = 11 management spec version = 2.0CLASS LOADING SYSTEM: isVerbose = false loadedClassCount = 6962 totalLoadedClassCount = 6969 unloadedClassCount = 0COMPILATION: totalCompilationTime = 7548MEMORY: HEAP STORAGE: committed = 645922816 init = 536870912 max = 8560574464 used = 47808352 NON-HEAP STORAGE: committed = 73859072 init = 7667712 max = -1 used = 70599520name: CodeHeap 'non-nmethods'Manager Name: CodeCacheManagermtype = Non-heap memoryUsage threshold supported = truename: MetaspaceManager Name: Metaspace Managermtype = Non-heap memoryUsage threshold supported = truename: CodeHeap 'profiled nmethods'Manager Name: CodeCacheManagermtype = Non-heap memoryUsage threshold supported = truename: Compressed Class SpaceManager Name: Metaspace Managermtype = Non-heap memoryUsage threshold supported = truename: G1 Eden SpaceManager Name: G1 Old GenerationManager Name: G1 Young Generationmtype = Heap memoryUsage threshold supported = falsename: G1 Old GenManager Name: G1 Old GenerationManager Name: G1 Young Generationmtype = Heap memoryUsage threshold supported = truename: G1 Survivor SpaceManager Name: G1 Old GenerationManager Name: G1 Young Generationmtype = Heap memoryUsage threshold supported = falsename: CodeHeap 'non-profiled nmethods'Manager Name: CodeCacheManagermtype = Non-heap memoryUsage threshold supported = trueTHREADS:Thread name = Reference HandlerThread name = FinalizerThread name = Signal DispatcherThread name = Attach ListenerThread name = Common-CleanerThread name = Java2D DisposerThread name = AWT-ShutdownThread name = AWT-WindowsThread name = Image Fetcher 0Thread name = AWT-EventQueue-0Thread name = D3D Screen UpdaterThread name = DestroyJavaVMThread name = TimerQueueThread name = Thread-0GARBAGE COLLECTION:name = G1 Young Generationcollection count = 6collection time = 69mpool name = G1 Eden Spacempool name = G1 Survivor Spacempool name = G1 Old Genname = G1 Old Generationcollection count = 0collection time = 0mpool name = G1 Eden Spacempool name = G1 Survivor Spacempool name = G1 Old Gen
First start upTomcat with JMX monitoring enabled by setting the following:
set JAVA_OPTS=-Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.port=9004\ -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false
You can do this in your startup script and may choose any available port, we used 9004.
The following code uses JMX to discover the available MBeans in the running Tomcat, determine which are web modules,extract the processing time for each web module and displays the result in a graph using JFreeChart:
import groovy.swing.SwingBuilderimport groovy.jmx.GroovyMBeanimport javax.management.ObjectNameimport javax.management.remote.JMXConnectorFactory as JmxFactoryimport javax.management.remote.JMXServiceURL as JmxUrlimport javax.swing.WindowConstants as WCimport org.jfree.chart.ChartFactoryimport org.jfree.data.category.DefaultCategoryDataset as Datasetimport org.jfree.chart.plot.PlotOrientation as Orientationdef serverUrl = 'service:jmx:rmi:///jndi/rmi://localhost:9004/jmxrmi'def server = JmxFactory.connect(new JmxUrl(serverUrl)).MBeanServerConnectiondef serverInfo = new GroovyMBean(server, 'Catalina:type=Server').serverInfoprintln "Connected to: $serverInfo"def query = new ObjectName('Catalina:*')String[] allNames = server.queryNames(query, null)def modules = allNames.findAll { name -> name.contains('j2eeType=WebModule')}.collect{ new GroovyMBean(server, it) }println "Found ${modules.size()} web modules. Processing ..."def dataset = new Dataset()modules.each { m -> println m.name() dataset.addValue m.processingTime, 0, m.path}def labels = ['Time per Module', 'Module', 'Time']def options = [false, true, true]def chart = ChartFactory.createBarChart(*labels, dataset, Orientation.VERTICAL, *options)def swing = new SwingBuilder()def frame = swing.frame(title:'Catalina Module Processing Time', defaultCloseOperation:WC.DISPOSE_ON_CLOSE) { panel(id:'canvas') { rigidArea(width:800, height:350) }}frame.pack()frame.show()chart.draw(swing.canvas.graphics, swing.canvas.bounds)
When run, we will see a trace of progress being made:
Connected to: Apache Tomcat/9.0.37Found 5 web modules. Processing ...Catalina:j2eeType=WebModule,name=//localhost/docs,J2EEApplication=none,J2EEServer=noneCatalina:j2eeType=WebModule,name=//localhost/manager,J2EEApplication=none,J2EEServer=noneCatalina:j2eeType=WebModule,name=//localhost/,J2EEApplication=none,J2EEServer=noneCatalina:j2eeType=WebModule,name=//localhost/examples,J2EEApplication=none,J2EEServer=noneCatalina:j2eeType=WebModule,name=//localhost/host-manager,J2EEApplication=none,J2EEServer=none
The output will look like this:
Note: if you get errors running this script, see theTroubleshooting section below.
Here is a script to access OC4J and print out some information about the server, its runtime and (as an example) the configured JMS destinations:
import javax.management.remote.*import oracle.oc4j.admin.jmx.remote.api.JMXConnectorConstantdef serverUrl = new JMXServiceURL('service:jmx:rmi://localhost:23791')def serverPath = 'oc4j:j2eeType=J2EEServer,name=standalone'def jvmPath = 'oc4j:j2eeType=JVM,name=single,J2EEServer=standalone'def provider = 'oracle.oc4j.admin.jmx.remote'def credentials = [ (JMXConnectorConstant.CREDENTIALS_LOGIN_KEY): 'oc4jadmin', (JMXConnectorConstant.CREDENTIALS_PASSWORD_KEY): 'admin']def env = [ (JMXConnectorFactory.PROTOCOL_PROVIDER_PACKAGES): provider, (JMXConnector.CREDENTIALS): credentials]def server = JmxFactory.connect(serverUrl, env).MBeanServerConnectiondef serverInfo = new GroovyMBean(server, serverPath)def jvmInfo = new GroovyMBean(server, jvmPath)println """Connected to $serverInfo.node. \Server started ${new Date(serverInfo.startTime)}.OC4J version: $serverInfo.serverVersion from $serverInfo.serverVendorJVM version: $jvmInfo.javaVersion from $jvmInfo.javaVendorMemory usage: $jvmInfo.freeMemory bytes free, \$jvmInfo.totalMemory bytes total"""def query = new javax.management.ObjectName('oc4j:*')String[] allNames = server.queryNames(query, null)def dests = allNames.findAll { name -> name.contains('j2eeType=JMSDestinationResource')}.collect { new GroovyMBean(server, it) }println "Found ${dests.size()} JMS destinations. Listing ..."dests.each { d -> println "$d.name: $d.location" }
Here is the result of running this script:
Connected to LYREBIRD. Server started Thu May 31 21:04:54 EST 2007.OC4J version: 11.1.1.0.0 from Oracle Corp.JVM version: 1.6.0_01 from Sun Microsystems Inc.Memory usage: 8709976 bytes free, 25153536 bytes totalFound 5 JMS destinations. Listing ...Demo Queue: jms/demoQueueDemo Topic: jms/demoTopicjms/Oc4jJmsExceptionQueue: jms/Oc4jJmsExceptionQueuejms/RAExceptionQueue: jms/RAExceptionQueueOracleASRouter_store: OracleASRouter_store
As a slight variation, this script displays a pie chart of memory usage using JFreeChart:
import org.jfree.chart.ChartFactoryimport javax.swing.WindowConstants as WCimport javax.management.remote.*import oracle.oc4j.admin.jmx.remote.api.JMXConnectorConstantdef url = 'service:jmx:rmi://localhost:23791'def credentials = [:]credentials[JMXConnectorConstant.CREDENTIALS_LOGIN_KEY] = "oc4jadmin"credentials[JMXConnectorConstant.CREDENTIALS_PASSWORD_KEY] = "password"def env = [:]env[JMXConnectorFactory.PROTOCOL_PROVIDER_PACKAGES] = "oracle.oc4j.admin.jmx.remote"env[JMXConnector.CREDENTIALS] = credentialsdef server = JMXConnectorFactory.connect(new JMXServiceURL(url), env).MBeanServerConnectiondef jvmInfo = new GroovyMBean(server, 'oc4j:j2eeType=JVM,name=single,J2EEServer=standalone')def piedata = new org.jfree.data.general.DefaultPieDataset()piedata.setValue "Free", jvmInfo.freeMemorypiedata.setValue "Used", jvmInfo.totalMemory - jvmInfo.freeMemorydef options = [true, true, true]def chart = ChartFactory.createPieChart('OC4J Memory Usage', piedata, *options)chart.backgroundPaint = java.awt.Color.whitedef swing = new groovy.swing.SwingBuilder()def frame = swing.frame(title:'OC4J Memory Usage', defaultCloseOperation:WC.EXIT_ON_CLOSE) { panel(id:'canvas') { rigidArea(width:350, height:250) }}frame.pack()frame.show()chart.draw(swing.canvas.graphics, swing.canvas.bounds)
Which looks like:
This script prints out information about the server followed by information about JMS Destinations (as an example). Many other mbeans areavailable.
import javax.management.remote.*import javax.management.*import javax.naming.Contextimport groovy.jmx.GroovyMBeandef urlRuntime = '/jndi/weblogic.management.mbeanservers.runtime'def urlBase = 'service:jmx:t3://localhost:7001'def serviceURL = new JMXServiceURL(urlBase + urlRuntime)def h = new Hashtable()h.put(Context.SECURITY_PRINCIPAL, 'weblogic')h.put(Context.SECURITY_CREDENTIALS, 'weblogic')h.put(JMXConnectorFactory.PROTOCOL_PROVIDER_PACKAGES, 'weblogic.management.remote')def server = JMXConnectorFactory.connect(serviceURL, h).MBeanServerConnectiondef domainName = new ObjectName('com.bea:Name=RuntimeService,Type=weblogic.management.mbeanservers.runtime.RuntimeServiceMBean')def rtName = server.getAttribute(domainName, 'ServerRuntime')def rt = new GroovyMBean(server, rtName)println "Server: name=$rt.Name, state=$rt.State, version=$rt.WeblogicVersion"def destFilter = Query.match(Query.attr('Type'), Query.value('JMSDestinationRuntime'))server.queryNames(new ObjectName('com.bea:*'), destFilter).each { name -> def jms = new GroovyMBean(server, name) println "JMS Destination: name=$jms.Name, type=$jms.DestinationType, messages=$jms.MessagesReceivedCount"}
Here is the output:
Server: name=examplesServer, state=RUNNING, version=WebLogic Server 10.0 Wed May 9 18:10:27 EDT 2007 933139JMS Destination: name=examples-jms!exampleTopic, type=Topic, messages=0JMS Destination: name=examples-jms!exampleQueue, type=Queue, messages=0JMS Destination: name=examples-jms!jms/MULTIDATASOURCE_MDB_QUEUE, type=Queue, messages=0JMS Destination: name=examplesJMSServer!examplesJMSServer.TemporaryQueue0, type=Queue, messages=68JMS Destination: name=examples-jms!quotes, type=Topic, messages=0JMS Destination: name=examples-jms!weblogic.wsee.wseeExamplesDestinationQueue, type=Queue, messages=0JMS Destination: name=examples-jms!weblogic.examples.ejb30.ExampleQueue, type=Queue, messages=0
You can also use Spring to automatically register beans as JMX aware.
Here is an example class (Calculator.groovy):
import org.springframework.jmx.export.annotation.*@ManagedResource(objectName="bean:name=calcMBean", description="Calculator MBean")public class Calculator { private int invocations @ManagedAttribute(description="The Invocation Attribute") public int getInvocations() { return invocations } private int base = 10 @ManagedAttribute(description="The Base to use when adding strings") public int getBase() { return base } @ManagedAttribute(description="The Base to use when adding strings") public void setBase(int base) { this.base = base } @ManagedOperation(description="Add two numbers") @ManagedOperationParameters([ @ManagedOperationParameter(name="x", description="The first number"), @ManagedOperationParameter(name="y", description="The second number")]) public int add(int x, int y) { invocations++ return x + y } @ManagedOperation(description="Add two strings representing numbers of a particular base") @ManagedOperationParameters([ @ManagedOperationParameter(name="x", description="The first number"), @ManagedOperationParameter(name="y", description="The second number")]) public String addStrings(String x, String y) { invocations++ def result = Integer.valueOf(x, base) + Integer.valueOf(y, base) return Integer.toString(result, base) }}
Here is the Spring configuration file (beans.xml):
<?xml version="1.0" encoding="UTF-8"?><beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd"> <bean > <property name="locateExistingServerIfPossible" value="true"/> </bean> <bean > <property name="assembler" ref="assembler"/> <property name="namingStrategy" ref="namingStrategy"/> <property name="beans"> <map> <entry key="bean:name=defaultCalcName" value-ref="calcBean"/> </map> </property> <property name="server" ref="mbeanServer"/> <property name="autodetect" value="true"/> </bean> <bean /> <!-- will create management interface using annotation metadata --> <bean > <property name="attributeSource" ref="jmxAttributeSource"/> </bean> <!-- will pick up the ObjectName from the annotation --> <bean > <property name="attributeSource" ref="jmxAttributeSource"/> </bean> <bean > <property name="base" value="10"/> </bean></beans>
Here is a script which uses this bean and configuration:
import org.springframework.context.support.ClassPathXmlApplicationContextimport java.lang.management.ManagementFactoryimport javax.management.ObjectNameimport javax.management.Attributeimport groovy.jmx.GroovyMBean// get normal beandef ctx = new ClassPathXmlApplicationContext("beans.xml")def calc = ctx.getBean("calcBean")Thread.start { // access bean via JMX, use a separate thread just to // show that we could access remotely if we wanted def server = ManagementFactory.platformMBeanServer def mbean = new GroovyMBean(server, 'bean:name=calcMBean') sleep 1000 assert 8 == mbean.add(7, 1) mbean.Base = 8 assert '10' == mbean.addStrings('7', '1') mbean.Base = 16 sleep 2000 println "Number of invocations: $mbean.Invocations" println mbean}assert 15 == calc.add(9, 6)assert '11' == calc.addStrings('10', '1')sleep 2000assert '20' == calc.addStrings('1f', '1')
And here is the resulting output:
Number of invocations: 5MBean Name: bean:name=calcMBeanAttributes: (rw) int Base (r) int InvocationsOperations: int add(int x, int y) java.lang.String addStrings(java.lang.String x, java.lang.String y) int getInvocations() int getBase() void setBase(int p1)
You can even attach to the process while it is running withjconsole. It will look something like:
We started the Groovy application with the-Dcom.sun.management.jmxremote
JVM argument.
See also:
If you get the following error, your container’s JMX access is password protected:
java.lang.SecurityException: Authentication failed! Credentials required
To fix that, add an environment with the credentials when connecting, like this (password has to be set before that):
def jmxEnv = nullif (password != null) { jmxEnv = [(JMXConnector.CREDENTIALS): (String[])["monitor", password]]}def connector = JMXConnectorFactory.connect(new JMXServiceURL(serverUrl), jmxEnv)
Details for the software you are trying to monitor/manage may differ slightly. Check out the other examples using credentials above if appropriate (e.g. OC4J and WebLogic). If you still have troubles, you will have to consult the documentation for the software you are trying to monitor/manage for details on how to provide credentials.
JmxBuilder is a Groovy-based domain specific language for the Java Management Extension (JMX) API. It uses the builder pattern (FactoryBuilder) to create an internal DSL that facilitates the exposure of POJO’s and Groovy beans as management components via the MBean server. JmxBuilder hides the complexity of creating and exporting management beans via the JMX API and provides a set of natural Groovy constructs to interact with the JMX infrastructure.
To start using JmxBuilder, simply make sure the jar file is on your class path. Then you can do the following in your code:
def jmx = new JmxBuilder()
That’s it! You are now ready to use the JmxBuilder.
NOTE
You can pass in an instance ofyour own MBeanServer to the builder (JmxBuilder(MBeanServer))
If no MBeanServer is specified, the builder instance will default to the underlying platform MBeanServer.
Once you have an instance of JmxBuilder, you are now ready to invoke any of its builder nodes.
Remote connectivity is a crucial part of the JMX architecture. JmxBuilder facilitates the creation of connector servers and connector clients with a minimal amount of coding.
JmxBuilder.connectorServer() supports the full Connector api syntax and will let you specify properties, override the URL, specify your own host, etc.
Syntax
jmx.connectorServer( protocol:"rmi", host:"...", port:1099, url:"...", properties:[ "authenticate":true|false, "passwordFile":"...", "accessFile":"...", "sslEnabled" : true | false // any valid connector property ])
Note that the serverConnector node will accept four ServerConnector property aliases (authenticate, passwordFile,accessFile, and sslEnabled). You can use these aliases or provided any of the RMI-supported properties.
Example - Connector Server (see correction below)
jmx.connectorServer(port: 9000).start()
The snippet above returns an RMI connector that will start listening on port 9000. By default, the builder will internally generate URL"service:jmx:rmi:///jndi/rmi://localhost:9000/jmxrmi".
NOTE: Sadly you are as likely to get something like the following when attempting to run the previous snippet of code (example is incomplete, see below):
Caught: java.io.IOException: Cannot bind to URL [rmi://localhost:9000/jmxrmi]: javax.naming.ServiceUnavailableException [Root exception is java.rmi.ConnectException: Connection refused to host: localhost; nested exception is:?????? java.net.ConnectException: Connection refused]??
This occurs on Mac and Linux (CentOS 5) with Groovy 1.6 installed. Perhaps there were assumptions made about the configuration of the /etc/hosts file?
The correct example is shown below. |
Connector Example (Corrected) - Connector Server
The example above does not create the RMI registry. So, in order to export, you have to first export the RMI object registry (make sure to importjava.rmi.registry.LocateRegistry
).
import java.rmi.registry.LocateRegistry//...LocateRegistry.createRegistry(9000)jmx.connectorServer(port: 9000).start()
JmxBuilder.connectorClient() node lets you create JMX connector client object to connect to a JMX MBean Server.
Syntax
jmx.connectorClient ( protocol:"rmi", host:"...", port:1099, url:"...",)
Example - Client Connector
Creating a connector client can be done just as easily. With one line of code, you can create an instance of a JMX Connector Client as shown below.
def client = jmx.connectorClient(port: 9000)client.connect()
You can then access the MBeanServerConnection associated with the connector using:
client.getMBeanServerConnection()
You canexport a Java object or a Groovy object with minimal coding. JmxBuilder will even find andexport dynamic Groovy methods injected at runtime.
When using the builder, you canlet JmxBuilder implicitly generate all of your MBean descriptor info. This is useful when you want to write minimal code to quickly export your beans. You can also explicitly declare all descriptor info for the bean. This gives you total control on how you want to describe every piece of information that you want to export for the underlying bean.
TheJmxBuilder.export() node provides a container where all management entities to be exported to the MBeanServer are placed. You can place one or more bean() or timer() nodes as children of the export() node. JmxBuilder willautomatically batch export the entities described by the nodes to the MBean server for management (see example below).
def beans = jmx.export { bean(new Foo()) bean(new Bar()) bean(new SomeBar())}
In the code snippet above,JmxBuilder.export() will export three management beans to the MBean server.
JmxBuilder.export() node supports theregistrationPolicy parameter to specify how JmxBuilder will behave to resolve bean name collision during MBean registration:
jmx.export(policy:"replace|ignore|error")orjmx.export(regPolicy:"replace|ignore|error")
replace - JmxBuilder.export() will replace any bean already registered with the MBean during export.
ignore - The bean being exported will be ignored if the same bean is already registered.
error - JmxBuilder.export() throws an error upon bean name collision during registration.
When you export an MBean to the MBeanServer,JmxBuilder will return an instance of GroovyMBean representing the management bean that have been exported by the builder. Nodes such asbean() andtimer() will return an instances of GroovyMBean when they are invoked. Theexport() node returns anarray of all of GroovyMBean[] representing all managed objects exported to the MBean server.
This portion of this reference uses classRequestController to illustrate how to use JmxBuilder to export runtime management beans. The class is for illustration purpose and can be a POJO or a Groovy bean.
RequestController
class RequestController { // constructors RequestController() { super() } RequestController(Map resource) { } // attributes boolean isStarted() { true } int getRequestCount() { 0 } int getResourceCount() { 0 } void setRequestLimit(int limit) { } int getRequestLimit() { 0 } // operations void start() { } void stop() { } void putResource(String name, Object resource) { } void makeRequest(String res) { } void makeRequest() { }}
As mentioned earlier, you can use JmxBuilder’s flexible syntax to export any POJO/POGO with no descriptor. The builder can automatically describe all aspects of the management beans using implicit defaults. These default values can easily be overridden as we’ll see in this in the next section.
The simplest way to export a POJO or POGO is listed below.
jmx.export { bean(new RequestController(resource: "Hello World"))}
What this does:
First, theJmxBuilder.export() node will export an MBean to the MBeanServer representingthe declared POJO instance.
The builder willgenerate a default ObjectName for the MBean and all other MBean descriptor information.
JmxBuilder will automatically export all declaredattributes (MBean getter/setters),constructors, andoperations on the instance.
The exportedattributes will haveread-only visibility.
Remember,JmxBuilder.export() returns an array of GroovyMBean[] objects for all exported instances. So, once you call JmxBuilder.export(),you have immediate access to the underlying MBean proxy (via GroovyMBean).
The JmxBuilder.bean() node supports an extensive set of descriptors to describe your bean for management. The JMX MBeanServer uses these descriptors to expose metadata about the bean exposed for management.
jmx.export { bean( target:bean instance, name:ObjectName, desc:"...", attributes:"*", attributes:[] attributes:[ "AttrubuteName1","AttributeName2",...,"AttributeName_n" ] attributes:[ "AttributeName":"*", "AttributeName":[ desc:"...", defaultValue:value, writable:true|false, editable:true|false, onChange:{event-> // event handler} ] ], constructors:"*", constructors:[ "Constructor Name":[], "Constructor Name":[ "ParamType1","ParamType2,...,ParamType_n" ], "Constructor Name":[ desc:"...", params:[ "ParamType1":"*", "ParamType2":[desc:"...", name:"..."],..., "ParamType_n":[desc:"...", name:"..."] ] ] ], operations:"*", operations:[ "OperationName1", "OperationName2",...,"OperationNameN" ], operations:[ "OperationName1":"*", "OperationName2":[ "type1","type2,"type3" ] "OperationName3":[ desc:"...", params:[ "ParamType1":"*" "ParamType2":[desc:"...", name:"..."],..., "ParamType_n":[desc:"...", name:"..."] ], onInvoked:{event-> JmxBuilder.send(event:"", to:"")} ] ], listeners:[ "ListenerName1":[event: "...", from:ObjectName, call:{event->}], "ListenerName2":[event: "...", from:ObjectName, call:&methodPointer] ] )}
Instead of describing the entire node, the following section explore each attribute separately.
Using the bean() node descriptors, you can specify your own MBean ObjectName.
def ctrl = new RequestController(resource:"Hello World")def beans = jmx.export { bean(target: ctrl, name: "jmx.tutorial:type=Object")}
The ObjectName can be specified as a String or an instance of the ObjectName.
JMX attributes are the setters and getters on the underlying bean. The JmxBuilder.bean() node provides several ways to flexibly describe and export MBean attributes. You can combine them however you want to achieve any level of attribute visibility. Let’s take a look.
The following code snippetwill describe and export all attributes on the bean as read-only.JmxBuilder will use default values to describe the attributes that exported for management.
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean(target: new RequestController(), name: objName, attributes: "*")}
JmxBuilder will let you specify a list of attributes to export.
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean( target: new RequestController(), name: objName, attributes: ["Resource", "RequestCount"] )}
In the snippet above,only the "Resource" and "RequestCount" attributes will be exported. Again, since no descriptors are provided,JmxBuilder will use sensible defaults to describe the exported attributes.
One of the strengths of JmxBuilder is its flexibility in describing MBean. With the builder you can describe all aspects of the MBeans attribute that you want to export to the MBeanServer (see syntax above).
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean( target: new RequestController(), name: objName, attributes: [ "Resource": [desc: "The resource to request.", readable: true, writable: true, defaultValue: "Hello"], "RequestCount": "*" ] )}
In the snippet above, attribute"Resource" is fully-described using all supported descriptors (i.e. desc, readable, writable, defaultValue) for a JMX attribute. However, we use the wildcard to describe attributeRequestCount and it will be exported and described using defaults.
JmxBuildersupports the explicit description and export of constructors defined in the underlying bean. There are several options available when exporting constructors. You can combine them however you want to achieve the desired level of manageability.
You can use the builder’s special "*"notation to export all constructors declared on the underlying bean. The builder will use default values to describe the MBean constructors.
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean( target: new RequestController(), name: objName, constructors: "*" )}
JmxBuilder lets youtarget specific constructor to exportby describing the parameter signature. This is useful when you have several constructors with different parameter signature and you want to export specific constructors.
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean( target: new RequestController(), name: objName, constructors: [ "RequestController": ["Object"] ] )}
Here, JmxBuilder willexport a constructor that takes one parameter of type "Object". Again, JmxBuilder will use default values to fill in the description of the constructor and the parameters.
JmxBuilder allows you tofully-describe the constructor that you want to target for export (see syntax above).
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean(target: new RequestController(), name: objName, constructors: [ "RequestController": [ desc: "Constructor takes param", params: ["Object" : [name: "Resource", desc: "Resource for controller"]] ] ] )}
In the code above, JmxBuilder will target a constructor that takes one parameter for export to the MBeanServer. Notice how the constructor can be fully-described using all optional descriptor keys including parameter descriptors.
Similar to constructors, JmxBuilder supports the description and export of MBean operations using a flexible notation (see above for syntax). You can combine these notations however you want to achieve the level of operation manageability desired.
You can use the builder’s special "*"notation to export all operations defined on the bean to be exposed for management. The builder will use default descriptor values for the operations being exported.
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean( target: new RequestController(), name: objName, operations: "*" )}
In this snippet, JmxBuilder willexport all bean operations and will use default values to describe them in the MBeanServer.
JmxBuilder has a shorthand notation that lets you quickly target operations to be exported by providing a list of methods to export.
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean( target: new RequestController(), name: objName, operations: ["start", "stop"] )}
In the snippet above, thebuilder will only export methods start() and stop(). All other methods will be ignored. JmxBuilder will use default descriptor values to describe the operations being exported.
Using JmxBuilder, you can target methods to export for management using the methods' parameter signature. This is useful when you want to distinguish methods with the same name that you want to export (i.e. stop() instead of stop(boolean)).
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean( target: new RequestController(), name: objName, operations: [ "makeRequest": ["String"] ] )}
In the snippet above, JmxBuilder wouldselect method makeRequest(String) to be exported instead of the other version makeRequest() which takes no parameter. In this shorthand context, the signature is specified as a list of type (i.e. "String").
JmxBuilder supports detailed descriptors for bean operations. You can supply deep descriptor info about any operation on your bean including a name, description, method parameters, parameter type, and parameter description.
def objName = new ObjectName("jmx.tutorial:type=Object")def beans = jmx.export { bean(target: new RequestController(), name: objName, operations: [ "start": [desc: "Starts request controller"], "stop": [desc: "Stops the request controller"], "setResource": [params: ["Object"]], "makeRequest": [ desc: "Executes the request.", params: [ "String": [name: "Resource", desc: "The resource to request"] ] ] ] )}
The snippet above shows all the ways JmxBuilder allows you to describe an operation targeted for management:
Operationsstart() and stop() are described by the "desc" key (this is enough since there are no params).
In operationsetResource() uses of a shorthand version ofparams: to describe the parameters for the method.
makeRequest() uses the extended descriptor syntax to describe all aspects of the operation.
JmxBuilder supports the ability toembed descriptors directly in your Groovy class. So, instead of wrapping your description around the declared object (as we’ve seen here), you can embed your JMX descriptors directly in your class.
RequestControllerGroovy
class RequestControllerGroovy { // attributes boolean started int requestCount int resourceCount int requestLimit Map resources // operations void start() { } void stop(){ } void putResource(String name, Object resource) { } void makeRequest(String res) { } void makeRequest() { } static descriptor = [ name: "jmx.builder:type=EmbeddedObject", operations: ["start", "stop", "putResource"], attributes: "*" ]}// exportjmx.export( bean(new RequestControllerGroovy()))
There are two things going on in the code above:
Groovy class RequestControllerGroovy is defined and includes astatic descriptor member. That member is used to declare a JmxBuilder descriptor to describe member of the class targeted for JMX export.
The second part of the code shows how to use JmxBuilder to export that class for management.
JMX standards mandate that the implementation of the API makes available a timer service. Since JMX is a component-based architecture, timers provide an excellent signalling mechanism to communicate to registered listener components in the MBeanServer. JmxBuilder supports the creation and export of timers using the same easy syntax we’ve seen so far.
timer( name:ObjectName, event:"...", message:"...", data:dataValue startDate:"now"|dateValue period:"99d"|"99h"|"99m"|"99s"|99 occurrences:long)
The timer() node supports several attributes:
name: - Required The qualified JMX ObjectName instance (or String) for the timer.
event: - The JMX event type string that will be broadcast with every timing signal (default"jmx.builder.event").
message: - An optional string value that can be sent to listeners.
data: - An optional object that can be sent to listeners of timing signal.
startDate: - When to start timer. Set of valid values [ "now", date object ]. Default is "now"
period: - A timer’s period expressed as either a number of millisecond or time unit (day, hour, minute, second). See description below.
occurrences: - A number indicating the number of time to repeat timer. Default is forever.
def timer = jmx.timer(name: "jmx.builder:type=Timer", event: "heartbeat", period: "1s")timer.start()
This snippet abovedescribes, creates, and exports a standard JMX Timer component. Here, thetimer() nodereturns a GroovyMBean that represents the registered timer MBean in the MBeanServer.
Analternative way of exporting timers is within the JmxBuilder.export() node.
def beans = jmx.export { timer(name: "jmx.builder:type=Timer1", event: "event.signal", period: "1s") timer(name: "jmx.builder:type=Timer2", event: "event.log", period: "1s")}beans[0].start()beans[1].start()
Thetimer() node supports a flexible notation for specifying thetimer period values. You can specify the time in second, minutes, hour, and day. The default is millisecond.
timer(period: 100) = 100 millisecond
timer(period: "1s") = 1 second
timer(period: "1m") = 1 minute
timer(period: "1h") = 1 hour
timer(period: "1d") = 1 day
The node will automatically translate.
An integral part ofJMX is itsevent model. Registered management beans cancommunicate with each other by broadcasting events on the MBeanServer’s event bus.JmxBuilder provides several ways to easily listen and react to events broadcasted on the MBeanServer’s event bus. Developers cancapture any event on the bus or throw their own to be consumed by other components registered on the MBeanServer.
JmxBuilder leverages Groovy’s use of closures to provide simple, yet elegant, mean of reacting to JMX events. JmxBuilder supports two closure signatures:
callback = { -> // event handling code here.}
JmxBuilder executes the closure and passes no information about the event that was captured on the bus.
callback = { event -> // event handling code}
JmxBuilder will pass an"event" object to the closure using this format. The event object contains information about the event was intercepted so that it can be handled by the handler. The parameter will contain different set of info depending on the event that was captured.
When describing attributes (see bean() node section above), you canprovide a closure (or method pointer) for callback to be executed when the value of the attribute is updated on the exported MBean. This gives developers an opportunity to listen to and react to state changes on the MBean.
jmx.export { bean( target: new RequestController(), name: "jmx.tutorial:type=Object", attributes: [ "Resource": [ readable: true, writable: true, onChange: { e -> println e.oldValue println e.newValue } ] ] )}
The sample snippet above shows how tospecify an "onChange" callback closure when describing MBean attributes. In this sample code, whenever attribute "Resource" is updated via the exported MBean, theonChange event will be executed.
When handling the attribute onChange event, the handler closure will receive an event object with the following info:
event.oldValue - the previous attribute value before the change event.
event.newValue - the new value of the attribute after the change.
event.attribute - the name of the attribute on which the event occurred.
event.attributeType - the data type of the attribute that causes the event.
event.sequenceNumber - a numeric value representing the sequence number of event.
event.timeStamp - a time stamp for the event occurrence.
Similar to mbean attributes, JmxBuilder affords developers theability to listen for operation invocation on an MBean registered in the MBeaServer. JmxBuilder accepts acallback closure that will be executed after the MBean method has invoked.
class EventHandler { void handleStart(e){ println e }}
def handler = new EventHandler()def beans = jmx.export { bean(target: new RequestController(), name: "jmx.tutorial:type=Object", operations: [ "start": [ desc:"Starts request controller", onCall:handler.&handleStart ] ] )}
The snippet aboveshows how to declare an "onCall" closure to be used as listener when operation "start()" is invoked on the MBean. This sampleuses the method pointer syntax to illustrate the versatility of JmxBuilder.
When handling the operation onCall event, the callback closure will receive an event object with the following info:
event.event - the event type string that was broadcasted.
event.source - The object on which the method was invoked.
event.data - the data type of the attribute that causes the event.
event.sequenceNumber - a numeric value representing the sequence number of event.
event.timeStamp - a time stamp for the event occurrence.
When you export an MBean with the bean() node, you can define events the MBean can listen and react to. The bean() node provides a "listeners:" attribute that lets you define event listeners that your bean can react to.
def beans = jmx.export { timer(name: "jmx.builder:type=Timer", event: "heartbeat", period: "1s").start() bean(target: new RequestController(), name: "jmx.tutorial:type=Object", operations: "*", listeners: [ heartbeat: [ from: "jmx.builder:type=Timer", call: { e -> println e } ] ] )}
In the sample above, we see thesyntax for adding listeners to an exported MBean.
First, atimer is exported and started.
Then, anMBean is declared that will listen to the timer event and do something meaningful.
The"heartbeat:" name is arbitrary and has no correlation to the timer declared above.
Thesource of the eventis specified using the "from:" attribute.
You can also specify anevent type you are interested in receiving from a broadcaster (since a broadcaster can be emitting multiple events).
In some cases, you will want to create stand-alone event listeners (not attached to exported MBeans). JmxBuilder provides the Listener() node to let you create JMX listeners that can listen to MBeanServer events. This is useful when creating JMX client applications to monitor/manage JMX agents on remote JMX MBeanServers.
jmx.listener( event: "...", from: "object name" | ObjectName, call: { event-> })
Here is the description of thelistener() node attributes:
event: An optional string that identifies the JMX event type to listen for.
from (required): The JMX ObjectName of the component to listen to. This can be specified as a string or an instance of ObjectName.
call: The closure to execute when the event is captured. This can also be specified as a Groovy method pointer.
Here is an example of JmxBuilder’s listener node:
jmx.timer(name: "jmx.builder:type=Timer", period: "1s").start()jmx.listener( from: "jmx.builder:type=Timer", call: { e -> println "beep..." })
This example shows how you can use a stand-alone listener (outside an MBean export). Here, weexport a timer with a 1 second resolution. Then, we specify a listener to that timer that will print "beep" every second.
JmxBuilder provides thetools needed to broadcast your own events on the MBeanServer’s event bus. There are no restrictions on the event type you can broadcast. You simplydeclare your emitter and the event type that you want to send, thenbroadcast your event at any time. Any registered component in the MBeanServer can register themselves to listen to your events.
jmx.emitter(name:"Object:Name", event:"type")
The attributes for the node Emitter() can be summarized as follows:
name: an optional JMX ObjectName used to register your emitter in the MBeanServer. Default is jmx.builder:type=Emitter,name=Emitter@OBJECT_HASH_VALUE
event: an option string value that describes the JMX event type. Default is"jmx.builder.event.emitter".
def emitter = jmx.emitter()
The snippetdeclares the emitter using implicit descriptor syntax. JmxBuilder will do the followings:
Create and register an emitter MBean with a default ObjectName.
Setup adefault event type with value"jmx.builder.event.emitter".
Return a GroovyMBean representing the emitter.
As with other nodes in the builder,you can override all keys in the emitter() node. You can specify theObjectName and theevent type.
Once you have declared your emitter, you can broadcast your event.
emitter.send()
The sample above shows theemitter sending an event, once it has been declared. Any JMX component registered in the MBeanServer can register to receive message from this emitter.
You can optionally pass data to the receiver when you send the message.
emitter.send("Hello!")
If you use anevent listener closure (see above) that accepts a parameter, you can access that value.
Creating Swing UIs is made easy thanks to the use ofSwingBuilder.
Security is a complex and multi-faceted issue and needs to be addressed in a holistic way.Groovy offers some features to improve security, but organisationsconcerned about security should already be addressing other necessary aspectssuch as network security, file-system security, operating system security, database security,passwords and potentially encryption.
Also, since Groovy runs on the JDK and optionally uses other library dependencies,users should ensure their JDK and all dependencies are up-to-date with respect tothe latest security fixes.
With regard to security issues that may affect the Groovy project itself,the project follows the Apachegeneral guidelines for handling security vulnerabilities. See also the project’ssecurity policy and list ofpast vulnerabilities.
By virtue of running on the JVM and following various Java conventions, Groovy programsoffer some of the same security features as Java programs, including:
programs cannot access arbitrary memory locations
final variables cannot be changed
array bounds are checked
class loaders perform bytecode verification when loading classes
casting cannot be done to an incompatible class
access is available to APIs for encryption and authentication
Special security support is provided through:
groovy.lang.GroovyShell,groovy.lang.GroovyClassLoader and other parts of the Groovy runtime fully support the Java security manager which allows you to sandbox script execution with a security policy. (Note: this functionality might be scaled back in future Groovy versions or when runningon particular JDK versions in line withJEP 411)
org.codehaus.groovy.control.customizers.SecureASTCustomizersecures source code by controlling what code constructs are permitted or prohibited in a code base(or part of a code base)
DefaultXML processing has secure processing enabled and doctype definitions disabled
Groovy’sSQL processing features provide support to guard against SQL injection
Temporary directory creation protects against known security vulnerabilities such as privilege escalation if scripts are stored in operating system temp directories
Usingdesign patterns with Java is a well-established topic.Design patterns also apply to Groovy:
some patterns carry over directly (and can make use of normal Groovy syntax improvements for greater readability)
some patterns are no longer required because they are built right into the language or because Groovy supports a better way of achieving the intent of the pattern
some patterns that have to be expressed at the design level in other languages can be implemented directly in Groovy (due to the way Groovy can blur the distinction between design and implementation)
TheAbstract Factory Pattern provides a way to encapsulate a group of individual factories that have a common theme. It embodies the intent of a normal factory, i.e. remove the need for code using an interface to know the concrete implementation behind the interface, but applies to a set of interfaces and selects an entire family of concrete classes which implement those interfaces.
As an example, I might have interfaces Button, TextField and Scrollbar. I might have WindowsButton, MacButton, FlashButton as concrete classes for Button. I might have WindowsScrollBar, MacScrollBar and FlashScrollBar as concrete implementations for ScrollBar. Using the Abstract Factory Pattern should allow me to select which windowing system (i.e. Windows, Mac, Flash) I want to use once and from then on should be able to write code that references the interfaces but is always using the appropriate concrete classes (all from the one windowing system) under the covers.
Suppose we want to write a game system. We might note that many games have very similar features and control.
We decide to try to split the common and game-specific code into separate classes.
First let’s look at the game-specific code for aTwo-up game:
class TwoupMessages { def welcome = 'Welcome to the twoup game, you start with $1000' def done = 'Sorry, you have no money left, goodbye'}class TwoupInputConverter { def convert(input) { input.toInteger() }}class TwoupControl { private money = 1000 private random = new Random() private tossWasHead() { def next = random.nextInt() return next % 2 == 0 } def moreTurns() { if (money > 0) { println "You have $money, how much would you like to bet?" return true } false } def play(amount) { def coin1 = tossWasHead() def coin2 = tossWasHead() if (coin1 && coin2) { money += amount println 'You win' } else if (!coin1 && !coin2) { money -= amount println 'You lose' } else { println 'Draw' } }}
Now, let’s look at the game-specific code for a number guessing game:
class GuessGameMessages { def welcome = 'Welcome to the guessing game, my secret number is between 1 and 100' def done = 'Correct'}class GuessGameInputConverter { def convert(input) { input.toInteger() }}class GuessGameControl { private lower = 1 private upper = 100 private guess = new Random().nextInt(upper - lower) + lower def moreTurns() { def done = (lower == guess || upper == guess) if (!done) { println "Enter a number between $lower and $upper" } !done } def play(nextGuess) { if (nextGuess <= guess) { lower = [lower, nextGuess].max() } if (nextGuess >= guess) { upper = [upper, nextGuess].min() } }}
Now, let’s write our factory code:
def guessFactory = [messages: GuessGameMessages, control: GuessGameControl, converter: GuessGameInputConverter]def twoupFactory = [messages: TwoupMessages, control: TwoupControl, converter: TwoupInputConverter]class GameFactory { def static factory def static getMessages() { return factory.messages.newInstance() } def static getControl() { return factory.control.newInstance() } def static getConverter() { return factory.converter.newInstance() }}
The important aspect of this factory is that it allows selection of an entire family of concrete classes.
Here is how we would use the factory:
GameFactory.factory = twoupFactorydef messages = GameFactory.messagesdef control = GameFactory.controldef converter = GameFactory.converterprintln messages.welcomedef reader = new BufferedReader(new InputStreamReader(System.in))while (control.moreTurns()) { def input = reader.readLine().trim() control.play(converter.convert(input))}println messages.done
Note that the first line configures which family of concrete game classes we will use. It’s not important that we selected which family to use by using the factory property as shown in the first line. Other ways would be equally valid examples of this pattern. For example, we may have asked the user which game they wanted to play or determined which game from an environment setting.
With the code as shown, the game might look like this when run:
Welcome to the twoup game, you start with $1000You have 1000, how much would you like to bet?300DrawYou have 1000, how much would you like to bet?700You winYou have 1700, how much would you like to bet?1700You loseSorry, you have no money left, goodbye
If we change the first line of the script to GameFactory.factory = guessFactory, then the sample run might look like this:
Welcome to the guessing game, my secret number is between 1 and 100Enter a number between 1 and 10075Enter a number between 1 and 7535Enter a number between 1 and 3515Enter a number between 1 and 155Enter a number between 5 and 1510Correct
TheAdapter Pattern (sometimes called the wrapper pattern) allows objects satisfying one interface to be used where another type of interface is expected. There are two typical flavours of the pattern: thedelegation flavour and theinheritance flavour.
Suppose we have the following classes:
class SquarePeg { def width}class RoundPeg { def radius}class RoundHole { def radius def pegFits(peg) { peg.radius <= radius } String toString() { "RoundHole with radius $radius" }}
We can ask theRoundHole
class if aRoundPeg
fits in it, but if we ask the same question for aSquarePeg
, then it will fail because theSquarePeg
class doesn’t have aradius
property (i.e. doesn’t satisfy the required interface).
To get around this problem, we can create an adapter to make it appear to have the correct interface. It would look like this:
class SquarePegAdapter { def peg def getRadius() { Math.sqrt(((peg.width / 2) ** 2) * 2) } String toString() { "SquarePegAdapter with peg width $peg.width (and notional radius $radius)" }}
We can use the adapter like this:
def hole = new RoundHole(radius: 4.0)(4..7).each { w -> def peg = new SquarePegAdapter(peg: new SquarePeg(width: w)) if (hole.pegFits(peg)) { println "peg $peg fits in hole $hole" } else { println "peg $peg does not fit in hole $hole" }}
Which results in the following output:
peg SquarePegAdapter with peg width 4 (and notional radius 2.8284271247461903) fits in hole RoundHole with radius 4.0peg SquarePegAdapter with peg width 5 (and notional radius 3.5355339059327378) fits in hole RoundHole with radius 4.0peg SquarePegAdapter with peg width 6 (and notional radius 4.242640687119285) does not fit in hole RoundHole with radius 4.0peg SquarePegAdapter with peg width 7 (and notional radius 4.949747468305833) does not fit in hole RoundHole with radius 4.0
Let’s consider the same example again using inheritance. First, here are the original classes (unchanged):
class SquarePeg { def width}class RoundPeg { def radius}class RoundHole { def radius def pegFits(peg) { peg.radius <= radius } String toString() { "RoundHole with radius $radius" }}
An adapter using inheritance:
class SquarePegAdapter extends SquarePeg { def getRadius() { Math.sqrt(((width / 2) ** 2) * 2) } String toString() { "SquarePegAdapter with width $width (and notional radius $radius)" }}
Using the adapter:
def hole = new RoundHole(radius: 4.0)(4..7).each { w -> def peg = new SquarePegAdapter(width: w) if (hole.pegFits(peg)) { println "peg $peg fits in hole $hole" } else { println "peg $peg does not fit in hole $hole" }}
The output:
peg SquarePegAdapter with width 4 (and notional radius 2.8284271247461903) fits in hole RoundHole with radius 4.0peg SquarePegAdapter with width 5 (and notional radius 3.5355339059327378) fits in hole RoundHole with radius 4.0peg SquarePegAdapter with width 6 (and notional radius 4.242640687119285) does not fit in hole RoundHole with radius 4.0peg SquarePegAdapter with width 7 (and notional radius 4.949747468305833) does not fit in hole RoundHole with radius 4.0
As a variation of the previous examples, we could instead define the following interface:
interface RoundThing { def getRadius()}
We can then define an adapter as a closure as follows:
def adapter = { p -> [getRadius: { Math.sqrt(((p.width / 2) ** 2) * 2) }] as RoundThing}
And use it like this:
def peg = new SquarePeg(width: 4)if (hole.pegFits(adapter(peg))) { // ... as before}
As of Groovy 1.1, there is a built-in MetaClass which can automatically add properties and methods dynamically.
Here is how the example would work using that feature:
def peg = new SquarePeg(width: 4)peg.metaClass.radius = Math.sqrt(((peg.width / 2) ** 2) * 2)
After you create a peg object, you can simply add a property to it on the fly. No need to change the original class and no need for an adapter class.
TheBouncer Pattern describes usage of a method whose sole purpose is to either throw an exception (when particular conditions hold) or do nothing. Such methods are often used to defensively guard pre-conditions of a method.
When writing utility methods, you should always guard against faulty input arguments. When writing internal methods, you may be able to ensure that certain pre-conditions always hold by having sufficient unit tests in place. Under such circumstances, you may reduce the desirability to have guards on your methods.
Groovy differs from other languages in that you frequently use theassert
method within your methods rather than having a large number of utility checker methods or classes.
We might have a utility method such as:
class NullChecker { static check(name, arg) { if (arg == null) { throw new IllegalArgumentException(name + ' is null') } }}
And we would use it like this:
void doStuff(String name, Object value) { NullChecker.check('name', name) NullChecker.check('value', value) // do stuff}
But a more Groovy way to do this would simply be like this:
void doStuff(String name, Object value) { assert name != null, 'name should not be null' assert value != null, 'value should not be null' // do stuff}
As an alternative example, we might have this utility method:
class NumberChecker { static final String NUMBER_PATTERN = "\\\\d+(\\\\.\\\\d+(E-?\\\\d+)?)?" static isNumber(str) { if (!str ==~ NUMBER_PATTERN) { throw new IllegalArgumentException("Argument '$str' must be a number") } } static isNotZero(number) { if (number == 0) { throw new IllegalArgumentException('Argument must not be 0') } }}
And we would use it like this:
def stringDivide(String dividendStr, String divisorStr) { NumberChecker.isNumber(dividendStr) NumberChecker.isNumber(divisorStr) def dividend = dividendStr.toDouble() def divisor = divisorStr.toDouble() NumberChecker.isNotZero(divisor) dividend / divisor}println stringDivide('1.2E2', '3.0')// => 40.0
But with Groovy we could just as easily use:
def stringDivide(String dividendStr, String divisorStr) { assert dividendStr =~ NumberChecker.NUMBER_PATTERN assert divisorStr =~ NumberChecker.NUMBER_PATTERN def dividend = dividendStr.toDouble() def divisor = divisorStr.toDouble() assert divisor != 0, 'Divisor must not be 0' dividend / divisor}
In the Chain of Responsibility Pattern, objects using and implementing an interface (one or more methods) are intentionally loosely coupled. A set of objects thatimplement the interface are organised in a list (or in rare cases a tree). Objects using the interface make requests from the firstimplementor object. It will decide whether to perform any action itself and whether to pass the request further down the line in the list (or tree). Sometimes a default implementation for some request is also coded into the pattern if none of the implementors respond to the request.
In this example, the script sends requests to thelister
object. Thelister
points to aUnixLister
object. If it can’t handle the request, it sends the request to theWindowsLister
. If it can’t handle the request, it sends the request to theDefaultLister
.
class UnixLister { private nextInLine UnixLister(next) { nextInLine = next } def listFiles(dir) { if (System.getProperty('os.name') == 'Linux') { println "ls $dir".execute().text } else { nextInLine.listFiles(dir) } }}class WindowsLister { private nextInLine WindowsLister(next) { nextInLine = next } def listFiles(dir) { if (System.getProperty('os.name').startsWith('Windows')) { println "cmd.exe /c dir $dir".execute().text } else { nextInLine.listFiles(dir) } }}class DefaultLister { def listFiles(dir) { new File(dir).eachFile { f -> println f } }}def lister = new UnixLister(new WindowsLister(new DefaultLister()))lister.listFiles('Downloads')
The output will be a list of files (with slightly different format depending on the operating system).
Here is a UML representation:
For simple cases, consider simplifying your code by not requiring the chain of classes.Instead, use Groovy truth and the elvis operator as shown here:
String unixListFiles(dir) { if (System.getProperty('os.name') == 'Linux') { "ls $dir".execute().text }}String windowsListFiles(dir) { if (System.getProperty('os.name').startsWith('Windows')) { "cmd.exe /c dir $dir".execute().text }}String defaultListFiles(dir) { new File(dir).listFiles().collect{ f -> f.name }.join('\\n')}def dir = 'Downloads'println unixListFiles(dir) ?: windowsListFiles(dir) ?: defaultListFiles(dir)
Or Groovy’s switch as shown here:
String listFiles(dir) { switch(dir) { case { System.getProperty('os.name') == 'Linux' }: return "ls $dir".execute().text case { System.getProperty('os.name').startsWith('Windows') }: return "cmd.exe /c dir $dir".execute().text default: new File(dir).listFiles().collect{ f -> f.name }.join('\\n') }}println listFiles('Downloads')
Alternatively, for Groovy 3+, consider using streams of lambdas as shown here:
Optional<String> unixListFiles(String dir) { Optional.ofNullable(dir) .filter(d -> System.getProperty('os.name') == 'Linux') .map(d -> "ls $d".execute().text)}Optional<String> windowsListFiles(String dir) { Optional.ofNullable(dir) .filter(d -> System.getProperty('os.name').startsWith('Windows')) .map(d -> "cmd.exe /c dir $d".execute().text)}Optional<String> defaultListFiles(String dir) { Optional.ofNullable(dir) .map(d -> new File(d).listFiles().collect{ f -> f.name }.join('\\n'))}def dir = 'Downloads'def handlers = [this::unixListFiles, this::windowsListFiles, this::defaultListFiles]println handlers.stream() .map(f -> f(dir)) .filter(Optional::isPresent) .map(Optional::get) .findFirst() .get()
If your use of chain of responsibility involves frequent use of theinstanceof
operator, like here:
import static Math.PI as πabstract class Shape { String name}class Polygon extends Shape { String name double lengthSide int numSides}class Circle extends Shape { double radius}class CircleAreaCalculator { def next def area(shape) { if (shape instanceof Circle) {(1) return shape.radius ** 2 * π } else { next.area(shape) } }}class SquareAreaCalculator { def next def area(shape) { if (shape instanceof Polygon && shape.numSides == 4) {(1) return shape.lengthSide ** 2 } else { next.area(shape) } }}class DefaultAreaCalculator { def area(shape) { throw new IllegalArgumentException("Don't know how to calculate area for $shape") }}def chain = new CircleAreaCalculator(next: new SquareAreaCalculator(next: new DefaultAreaCalculator()))def shapes = [ new Circle(name: 'Circle', radius: 5.0), new Polygon(name: 'Square', lengthSide: 10.0, numSides: 4)]shapes.each { println chain.area(it) }
1 | instanceof code smell |
It could indicate that instead of using the chain of responsibility pattern, you might considerusing richer types, perhaps in combination with Groovy’s multimethods. For example, perhaps this:
// ...class Square extends Polygon { // ...}double area(Circle c) { c.radius ** 2 * π}double area(Square s) { s.lengthSide ** 2}def shapes = [ new Circle(radius: 5.0), new Square(lengthSide: 10.0, numSides: 4)]shapes.each { println area(it) }
or using more traditional object-oriented style like this:
import static Math.PI as πinterface Shape { double area()}abstract class Polygon implements Shape { double lengthSide int numSides abstract double area()}class Circle implements Shape { double radius double area() { radius ** 2 * π }}class Square extends Polygon { // ... double area() { lengthSide ** 2 }}def shapes = [ new Circle(radius: 5.0), new Square(lengthSide: 10.0, numSides: 4)]shapes.each { println it.area() }
Other variations to this pattern:
we could have an explicit interface in the traditional example, e.g.Lister
, to statically type the implementations but because ofduck-typing this is optional
we could use a chain tree instead of a list, e.g.if (animal.hasBackbone())
delegate toVertebrateHandler
else delegate toInvertebrateHandler
we could always pass down the chain even if we processed a request (no early return)
we could decide at some point to not respond and not pass down the chain (pre-emptive abort)
we could use Groovy’s meta-programming capabilities to pass unknown methods down the chain, e.g. combinechain of responsibility with the use ofmethodMissing
TheCommand Pattern is a pattern forloosely coupling a client object which wants to execute a series of commands andreceiver objects which enact those commands.Instead of talking to receivers directly, clients interact with an intermediary objectwhich then relays the necessary commands to the receivers.The pattern is in common use within the JDK, for example the api:javax.swing.Action[] class in Swingdecouples swing code from receivers like buttons, menu items and panels.
The class diagram showing the typical classes is:
The sequence of interactions is as shown below for an arbitrary receiver:
The relevant classes required for turning a light on and off (see the example in the earlier wikipedia reference)would be as follows:
interface Command { void execute()}// invoker classclass Switch { private final Map<String, Command> commandMap = new HashMap<>() void register(String commandName, Command command) { commandMap[commandName] = command } void execute(String commandName) { Command command = commandMap[commandName] if (!command) { throw new IllegalStateException("no command registered for " + commandName) } command.execute() }}// receiver classclass Light { void turnOn() { println "The light is on" } void turnOff() { println "The light is off" }}class SwitchOnCommand implements Command { Light light @Override // Command void execute() { light.turnOn() }}class SwitchOffCommand implements Command { Light light @Override // Command void execute() { light.turnOff() }}Light lamp = new Light()Command switchOn = new SwitchOnCommand(light: lamp)Command switchOff = new SwitchOffCommand(light: lamp)Switch mySwitch = new Switch()mySwitch.register("on", switchOn)mySwitch.register("off", switchOff)mySwitch.execute("on")mySwitch.execute("off")
Our client scripts sendsexecute
commands to an intermediary and knows nothingabout any specific receivers, or any specific action method names and arguments.
Given that Groovy has first-class function support, we can do away with theactual command classes (likeSwitchOnCommand
) by instead using closures as shown here:
interface Command { void execute()}// invoker classclass Switch { private final Map<String, Command> commandMap = [:] void register(String commandName, Command command) { commandMap[commandName] = command } void execute(String commandName) { Command command = commandMap[commandName] if (!command) { throw new IllegalStateException("no command registered for $commandName") } command.execute() }}// receiver classclass Light { void turnOn() { println 'The light is on' } void turnOff() { println 'The light is off' }}Light lamp = new Light()Switch mySwitch = new Switch()mySwitch.register("on", lamp.&turnOn)(1)mySwitch.register("off", lamp.&turnOff)(1)mySwitch.execute("on")mySwitch.execute("off")
1 | Command closures (here method closures) but could be lambdas/method references for Groovy 3+ |
We can simplify further using the JDK’s existingRunnable
interfaceand using a switch map rather than a separateSwitch
class as shown here:
class Light { void turnOn() { println 'The light is on' } void turnOff() { println 'The light is off' }}class Door { static void unlock() { println 'The door is unlocked' }}Light lamp = new Light()Map<String, Runnable> mySwitch = [ on: lamp::turnOn, off: lamp::turnOff, unlock: Door::unlock]mySwitch.on()mySwitch.off()mySwitch.unlock()
We have added an additionalDoor
receiver to illustrate how to expand the original example.Running this script results in:
The light is onThe light is offThe door is unlocked
As a variation, if the command names aren’t important to us,we can forgo using the switch map and just have a list of tasks to invoke as shown here:
// ...List<Runnable> tasks = [lamp::turnOn, lamp::turnOff, Door::unlock]tasks.each{ it.run() }
TheComposite Pattern allows you to treat single instances of an object the same way as a group of objects. The pattern is often used with hierarchies of objects. Typically, one or more methods should be callable in the same way for eitherleaf orcomposite nodes within the hierarchy. In such a case, composite nodes typically invoke the same named method for each of their children nodes.
Consider this usage of the composite pattern where we want to calltoString()
on eitherLeaf
orComposite
objects.
In Java, theComponent
class is essential as it provides the type used for both leaf and composite nodes. In Groovy, because of duck-typing, we don’t need it for that purpose, however, it can still serve as a useful place to place common behaviour between the leaf and composite nodes.
For our purposes, we will assemble the following hierarchy of components.
Here is the code:
abstract class Component { def name def toString(indent) { ("-" * indent) + name }}class Composite extends Component { private children = [] def toString(indent) { def s = super.toString(indent) children.each { child -> s += "\\n" + child.toString(indent + 1) } s } def leftShift(component) { children << component }}class Leaf extends Component { }def root = new Composite(name: "root")root << new Leaf(name: "leaf A")def comp = new Composite(name: "comp B")root << comproot << new Leaf(name: "leaf C")comp << new Leaf(name: "leaf B1")comp << new Leaf(name: "leaf B2")println root.toString(0)
Here is the resulting output:
root-leaf A-comp B--leaf B1--leaf B2-leaf C
TheDecorator Pattern provides a mechanism to embellish the behaviour of an object without changing its essential interface. A decorated object should be able to be substituted wherever the original (non-decorated) object was expected. Decoration typically does not involve modifying the source code of the original object and decorators should be able to be combined in flexible ways to produce objects with several embellishments.
Suppose we have the followingLogger
class.
class Logger { def log(String message) { println message }}
There might be times when it is useful to timestamp a log message, or times when we might want to change the case of the message. We could try to build all of this functionality into ourLogger
class. If we did that, theLogger
class would start to be very complex. Also, everyone would obtain all of the features even when they might want only a small subset of the features. Finally, feature interaction would become quite difficult to control.
To overcome these drawbacks, we instead define two decorator classes. Uses of theLogger
class are free to embellish their base logger with zero or more decorator classes in whatever order they desire. The classes look like this:
class TimeStampingLogger extends Logger { private Logger logger TimeStampingLogger(logger) { this.logger = logger } def log(String message) { def now = Calendar.instance logger.log("$now.time: $message") }}class UpperLogger extends Logger { private Logger logger UpperLogger(logger) { this.logger = logger } def log(String message) { logger.log(message.toUpperCase()) }}
We can use the decorators like so:
def logger = new UpperLogger(new TimeStampingLogger(new Logger()))logger.log("G'day Mate")// => Tue May 22 07:13:50 EST 2007: G'DAY MATE
You can see that we embellish the logger behaviour with both decorators. Because of the order we chose to apply the decorators, our log message comes out capitalised and the timestamp is in normal case. If we swap the order around, let’s see what happens:
logger = new TimeStampingLogger(new UpperLogger(new Logger()))logger.log('Hi There')// => TUE MAY 22 07:13:50 EST 2007: HI THERE
Now the timestamp itself has also been changed to be uppercase.
Closures make it easy to represent code. We can use that fact tomake a general purpose logger class that accepts the decoration code as a closure.This saves us defining many decoration classes.
class DecoratingLogger { def decoration = Closure.IDENTITY def log(String message) { println decoration(message) }}def upper = { it.toUpperCase() }def stamp = { "$Calendar.instance.time: $it" }def logger = new DecoratingLogger(decoration: stamp << upper)logger.log("G'day Mate")// Sat Aug 29 15:28:29 AEST 2020: G'DAY MATE
We can use the same approach with lambdas:
import java.util.function.Functionclass DecoratingLogger { Function<String, String> decoration = Function.identity() def log(String message) { println decoration.apply(message) }}Function<String, String> upper = s -> s.toUpperCase()Function<String, String> stamp = s -> "$Calendar.instance.time: $s"def logger = new DecoratingLogger(decoration: upper.andThen(stamp))logger.log("G'day Mate")// => Sat Aug 29 15:38:28 AEST 2020: G'DAY MATE
Our previous decorators were specific toLogger
objects. We can use Groovy’s Meta-Object Programming capabilities to create a decorator which is far more general purpose in nature. Consider this class:
class GenericLowerDecorator { private delegate GenericLowerDecorator(delegate) { this.delegate = delegate } def invokeMethod(String name, args) { def newargs = args.collect { arg -> if (arg instanceof String) { return arg.toLowerCase() } else { return arg } } delegate.invokeMethod(name, newargs) }}
It takes any class and decorates it so that anyString
method parameter will automatically be changed to lower case.
logger = new GenericLowerDecorator(new TimeStampingLogger(new Logger()))logger.log('IMPORTANT Message')// => Tue May 22 07:27:18 EST 2007: important message
Just be careful with ordering here. The original decorators were restricted to decoratingLogger
objects. This decorator works with any object type, so we can’t swap the ordering around, i.e. this won’t work:
// Can't mix and match Interface-Oriented and Generic decorators// logger = new TimeStampingLogger(new GenericLowerDecorator(new Logger()))
We could overcome this limitation be generating an appropriate Proxy type at runtime but we won’t complicate the example here.
You can also consider using theExpandoMetaClass
from Groovy 1.1 to dynamically embellish a class with behaviour. This isn’t the normal style of usage of the decorator pattern (it certainly isn’t nearly as flexible) but may help you to achieve similar results in some cases without creating a new class.
Here’s what the code looks like:
// current mechanism to enable ExpandoMetaClassGroovySystem.metaClassRegistry.metaClassCreationHandle = new ExpandoMetaClassCreationHandle()def logger = new Logger()logger.metaClass.log = { String m -> println 'message: ' + m.toUpperCase() }logger.log('x')// => message: X
This achieves a similar result to applying a single decorator but we have no way to easily apply and remove embellishments on the fly.
Suppose we have a calculator class (Actually any class would do).
class Calc { def add(a, b) { a + b }}
We might be interested in observing usage of the class over time. If it is buried deep within our codebase, it might be hard to determine when it is being called and with what parameters. Also, it might be hard to know if it is performing well. We can easily make a generic tracing decorator that prints out tracing information whenever any method on theCalc
class is called and also provide timing information about how long it took to execute. Here is the code for the tracing decorator:
class TracingDecorator { private delegate TracingDecorator(delegate) { this.delegate = delegate } def invokeMethod(String name, args) { println "Calling $name$args" def before = System.currentTimeMillis() def result = delegate.invokeMethod(name, args) println "Got $result in ${System.currentTimeMillis()-before} ms" result }}
Here is how to use the class in a script:
def tracedCalc = new TracingDecorator(new Calc())assert 15 == tracedCalc.add(3, 12)
And here is what you would see after running this script:
Calling add{3, 12}Got 15 in 31 ms
The above timing example hooks into the lifecycle of Groovy objects (viainvokeMethod
). This is such an important style performing meta-programming that Groovy has special support for this style of decorating usinginterceptors.
Groovy even comes with a built-inTracingInterceptor
. We can extend the built-in class like this:
class TimingInterceptor extends TracingInterceptor { private beforeTime def beforeInvoke(object, String methodName, Object[] arguments) { super.beforeInvoke(object, methodName, arguments) beforeTime = System.currentTimeMillis() } Object afterInvoke(Object object, String methodName, Object[] arguments, Object result) { super.afterInvoke(object, methodName, arguments, result) def duration = System.currentTimeMillis() - beforeTime writer.write("Duration: $duration ms\\n") writer.flush() result }}
Here is an example of using this new class:
def proxy = ProxyMetaClass.getInstance(Calc)proxy.interceptor = new TimingInterceptor()proxy.use { assert 7 == new Calc().add(1, 6)}
And here is the output:
before Calc.ctor()after Calc.ctor()Duration: 0 msbefore Calc.add(java.lang.Integer, java.lang.Integer)after Calc.add(java.lang.Integer, java.lang.Integer)Duration: 2 ms
If you are trying to decorate an object (i.e. just a particular instance of the class, not the class generally), then you can use Java’sjava.lang.reflect.Proxy
. Groovy makes working with this easier than just Java. Below is a code sample taken out of a grails project that wraps ajava.sql.Connection
so that it’s close method is a no-op:
protected Sql getGroovySql() { final Connection con = session.connection() def invoker = { object, method, args -> if (method.name == "close") { log.debug("ignoring call to Connection.close() for use by groovy.sql.Sql") } else { log.trace("delegating $method") return con.invokeMethod(method.name, args) } } as InvocationHandler; def proxy = Proxy.newProxyInstance( getClass().getClassLoader(), [Connection] as Class[], invoker ) return new Sql(proxy)}
If there were many methods to intercept, then this approach could be modified to look up closure in a map by method name and invoke it.
TheSpring Framework allows decorators to be applied withinterceptors (you may have heard the termsadvice oraspect). You can leverage this mechanism from Groovy as well.
First define a class that you want to decorate (we’ll also use an interface as is normal Spring practice):
Here’s the interface:
interface Calc { def add(a, b)}
Here’s the class:
class CalcImpl implements Calc { def add(a, b) { a + b }}
Now, we define our wiring in a file calledbeans.xml
as follows:
<?xml version="1.0" encoding="UTF-8"?><beans xmlns="http://www.springframework.org/schema/beans"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xmlns:lang="http://www.springframework.org/schema/lang"xsi:schemaLocation="http://www.springframework.org/schema/beans https://www.springframework.org/schema/beans/spring-beans.xsdhttp://www.springframework.org/schema/lang https://www.springframework.org/schema/lang/spring-lang.xsd"> <bean autowire="no" > <property name="loggerName" value="performance"/> </bean> <bean/> <bean> <property name="beanNames" value="calc"/> <property name="interceptorNames" value="performanceInterceptor"/> </bean></beans>
Now, our script looks like this:
@Grab('org.springframework:spring-context:5.2.8.RELEASE')import org.springframework.context.support.ClassPathXmlApplicationContextdef ctx = new ClassPathXmlApplicationContext('beans.xml')def calc = ctx.getBean('calc')println calc.add(3, 25)
And when we run it, we see the results:
21/05/2007 23:02:35 org.springframework.aop.interceptor.PerformanceMonitorInterceptor invokeUnderTraceFINEST: StopWatch 'util.Calc.add': running time (millis) = 16
You may have to adjust yourlogging.properties
file for messages at log levelFINEST
to be displayed.
The following example is inspired by some of the early example code for thePanini programming language.These days, you’ll see this style used with async functions in JavaScript.
@Grab('org.codehaus.gpars:gpars:0.10')import static groovyx.gpars.GParsPool.withPoolinterface Document { void print() String getText()}class DocumentImpl implements Document { def document void print() { println document } String getText() { document }}def words(String text) { text.replaceAll('[^a-zA-Z]', ' ').trim().split("\\\\s+")*.toLowerCase()}def avgWordLength = { def words = words(it.text) sprintf "Avg Word Length: %4.2f", words*.size().sum() / words.size()}def modeWord = { def wordGroups = words(it.text).groupBy {it}.collectEntries { k, v -> [k, v.size()] } def maxSize = wordGroups*.value.max() def maxWords = wordGroups.findAll { it.value == maxSize } "Mode Word(s): ${maxWords*.key.join(', ')} ($maxSize occurrences)"}def wordCount = { d -> "Word Count: " + words(d.text).size() }def asyncDecorator(Document d, Closure c) { ProxyGenerator.INSTANCE.instantiateDelegate([print: { withPool { def result = c.callAsync(d) d.print() println result.get() } }], [Document], d)}Document d = asyncDecorator(asyncDecorator(asyncDecorator( new DocumentImpl(document:"This is the file with the words in it\\n\\t\\nDo you see the words?\\n"),// new DocumentImpl(document: new File('AsyncDecorator.groovy').text), wordCount), modeWord), avgWordLength)d.print()
TheDelegation Pattern is a technique where an object’s behavior (public methods) is implemented by delegating responsibility to one or more associated objects.
Groovy allows the traditional style of applying the delegation pattern, e.g. seeReplace Inheritance with Delegation.
Thegroovy.lang.ExpandoMetaClass allows usage of this pattern to be encapsulated in a library. This allows Groovy to emulate similar libraries available for the Ruby language.
Consider the following library class:
class Delegator { private targetClass private delegate Delegator(targetClass, delegate) { this.targetClass = targetClass this.delegate = delegate } def delegate(String methodName) { delegate(methodName, methodName) } def delegate(String methodName, String asMethodName) { targetClass.metaClass."$asMethodName" = delegate.&"$methodName" } def delegateAll(String[] names) { names.each { delegate(it) } } def delegateAll(Map names) { names.each { k, v -> delegate(k, v) } } def delegateAll() { delegate.class.methods*.name.each { delegate(it) } }}
With this in your classpath, you can now apply the delegation pattern dynamically as shown in the following examples. First, consider we have the following classes:
class Person { String name}class MortgageLender { def borrowAmount(amount) { "borrow \\$$amount" } def borrowFor(thing) { "buy \\$thing" }}def lender = new MortgageLender()def delegator = new Delegator(Person, lender)
We can now use thedelegator to automatically borrow methods from thelender object to extend thePerson class. We can borrow the methods as is or with a rename:
delegator.delegate 'borrowFor'delegator.delegate 'borrowAmount', 'getMoney'def p = new Person()println p.borrowFor('present') // => buy presentprintln p.getMoney(50)
The first line above, adds theborrowFor method to thePerson class by delegating to thelender object. The second line adds agetMoney method to thePerson class by delegating to thelender object’sborrowAmount method.
Alternatively, we could borrow multiple methods like this:
delegator.delegateAll 'borrowFor', 'borrowAmount'
Which adds these two methods to thePerson class.
Or if we want all the methods, like this:
delegator.delegateAll()
Which will make all the methods in the delegate object available in thePerson class.
Alternatively, we can use a map notation to rename multiple methods:
delegator.delegateAll borrowAmount:'getMoney', borrowFor:'getThing'
Since version 1.6 you can use the built-in delegation mechanism which is based on AST transformation.
This make delegation even easier:
class Person { def name @Delegate MortgageLender mortgageLender = new MortgageLender()}class MortgageLender { def borrowAmount(amount) { "borrow \\$$amount" } def borrowFor(thing) { "buy $thing" }}def p = new Person()assert "buy present" == p.borrowFor('present')assert "borrow \\$50" == p.borrowAmount(50)
TheFlyweight Pattern is a pattern for greatly reducing memory requirements by not requiring that heavy-weight objects be created in large numbers when dealing with systems that contain many things that are mostly the same. If for instance, a document was modelled using a complex character class that knew about unicode, fonts, positioning, etc., then the memory requirements could be quite large for large documents if each physical character in the document required its own character class instance. Instead, characters themselves might be kept within Strings and we might have one character class (or a small number such as one character class for each font type) that knew the specifics of how to deal with characters.
In such circumstances, we call the state that is shared with many other things (e.g. the character type)intrinsic state. It is captured within the heavy-weight class. The state which distinguishes the physical character (maybe just its ASCII code or Unicode) is called itsextrinsic state.
First we are going to model some complex aircraft (the first being a hoax competitor of the second - though that is not relevant to the example).
class Boeing797 { def wingspan = '80.8 m' def capacity = 1000 def speed = '1046 km/h' def range = '14400 km' // ...}
class Airbus380 { def wingspan = '79.8 m' def capacity = 555 def speed = '912 km/h' def range = '10370 km' // ...}
If we want to model our fleet, our first attempt might involve using many instances of these heavy-weight objects. It turns out though that only a few small pieces of state (our extrinsic state) change for each aircraft, so we will have singletons for the heavy-weight objects and capture the extrinsic state (bought date and asset number in the code below) separately.
class FlyweightFactory { static instances = [797: new Boeing797(), 380: new Airbus380()]}class Aircraft { private type // intrinsic state private assetNumber // extrinsic state private bought // extrinsic state Aircraft(typeCode, assetNumber, bought) { type = FlyweightFactory.instances[typeCode] this.assetNumber = assetNumber this.bought = bought } def describe() { println """ Asset Number: $assetNumber Capacity: $type.capacity people Speed: $type.speed Range: $type.range Bought: $bought """ }}def fleet = [ new Aircraft(380, 1001, '10-May-2007'), new Aircraft(380, 1002, '10-Nov-2007'), new Aircraft(797, 1003, '10-May-2008'), new Aircraft(797, 1004, '10-Nov-2008')]fleet.each { p -> p.describe() }
So here, even if our fleet contained hundreds of planes, we would only have one heavy-weight object for each type of aircraft.
As a further efficiency measure, we might use lazy creation of the flyweight objects rather than create the initial map up front as in the above example.
Running this script results in:
Asset Number: 1001Capacity: 555 peopleSpeed: 912 km/hRange: 10370 kmBought: 10-May-2007Asset Number: 1002Capacity: 555 peopleSpeed: 912 km/hRange: 10370 kmBought: 10-Nov-2007Asset Number: 1003Capacity: 1000 peopleSpeed: 1046 km/hRange: 14400 kmBought: 10-May-2008Asset Number: 1004Capacity: 1000 peopleSpeed: 1046 km/hRange: 14400 kmBought: 10-Nov-2008
TheIterator Pattern allows sequential access to the elements of an aggregate object without exposing its underlying representation.
Groovy has the iterator pattern built right in to many of its closure operators, e.g.each
andeachWithIndex
as well as thefor .. in
loop.
For example:
def printAll(container) { for (item in container) { println item }}def numbers = [ 1,2,3,4 ]def months = [ Mar:31, Apr:30, May:31 ]def colors = [ java.awt.Color.BLACK, java.awt.Color.WHITE ]printAll numbersprintAll monthsprintAll colors
Results in the output:
1234May=31Mar=31Apr=30java.awt.Color[r=0,g=0,b=0]java.awt.Color[r=255,g=255,b=255]
Another example:
colors.eachWithIndex { item, pos -> println "Position $pos contains '$item'"}
Results in:
Position 0 contains 'java.awt.Color[r=0,g=0,b=0]'Position 1 contains 'java.awt.Color[r=255,g=255,b=255]'
The iterator pattern is also built in to other special operators such as theeachByte
,eachFile
,eachDir
,eachLine
,eachObject
,eachMatch
operators for working with streams, URLs, files, directories and regular expressions matches.
TheLoan my Resource pattern ensures that a resource is deterministically disposed of once it goes out of scope.
This pattern is built in to many Groovy helper methods. You should consider using it yourself if you need to work with resources in ways beyond what Groovy supports.
Consider the following code which works with a file. First we might write some line to the file and then print its size:
def f = new File('junk.txt')f.withPrintWriter { pw -> pw.println(new Date()) pw.println(this.class.name)}println f.size()// => 42
We could also read back the contents of the file a line at a time and print each line out:
f.eachLine { line -> println line}// =>// Mon Jun 18 22:38:17 EST 2007// RunPattern
Note that normal JavaReader
andPrintWriter
objects were used under the covers by Groovy but the code writer did not have to worry about explicitly creating or closing those resources. The built-in Groovy methods loan the respective reader or writer to the closure code and then tidy up after themselves. So, you are using this pattern without having to do any work.
Sometimes however, you wish to do things slightly differently to what you can get for free using Groovy’s built-in mechanisms. You should consider utilising this pattern within your own resource-handling operations.
Consider how you might process the list of words on each line within the file. We could actually do this one too using Groovy’s built-in functions, but bear with us and assume we have to do some resource handling ourselves. Here is how we might write the code without using this pattern:
def reader = f.newReader()reader.splitEachLine(' ') { wordList -> println wordList}reader.close()// =>// [ "Mon", "Jun", "18", "22:38:17", "EST", "2007" ]// [ "RunPattern" ]
Notice that we now have an explicit call toclose()
in our code. If we didn’t code it just right (here we didn’t surround the code in atry … finally
block, we run the risk of leaving the file handle open.
Let’s now apply the loan pattern. First, we’ll write a helper method:
def withListOfWordsForEachLine(File f, Closure c) { def r = f.newReader() try { r.splitEachLine(' ', c) } finally { r?.close() }}
Now, we can re-write our code as follows:
withListOfWordsForEachLine(f) { wordList -> println wordList}// =>// [ "Mon", "Jun", "18", "22:38:17", "EST", "2007" ]// [ "RunPattern" ]
This is much simpler and has removed the explicitclose()
. This is now catered for in one spot so we can apply the appropriate level of testing or reviewing in just one spot to be sure we have no problems.
Monoids allowthe mechanics of an aggregation algorithm to be separated from the algorithm-specific logic associated with that aggregation.It is often thought to be a functional design pattern.
Perhaps, it is easiest seen with an example. Consider the code for integer sum, integer product and string concatenation.We might note various similarities:
def nums = [1, 2, 3, 4]def sum = 0(1)for (num in nums) { sum += num }(2)assert sum == 10def product = 1(1)for (num in nums) { product *= num }(2)assert product == 24def letters = ['a', 'b', 'c']def concat = ''(1)for (letter in letters) { concat += letter }(2)assert concat == 'abc'
1 | Initialize an aggregate counter |
2 | Loop throw elements with for/while/iteration adjusting counter |
We can remove the duplicate aggregation coding and the tease out the important differences for each algorithm.We might instead use Groovy’sinject
method. This is afold operation in functional programming jargon.
assert nums.inject(0){ total, next -> total + next } == 10assert nums.inject(1){ total, next -> total * next } == 24assert letters.inject(''){ total, next -> total + next } == 'abc'
Here the first parameter is the initial value, and the supplied closure contains the algorithm-specific logic.
Similarly, for Groovy 3+, we can use the JDK stream API and lambda syntax as follows:
assert nums.stream().reduce(0, (total, next) -> total + next) == 10assert nums.stream().reduce(1, (total, next) -> total * next) == 24assert letters.stream().reduce('', (total, next) -> total + next) == 'abc'
Looking at these examples, we might think all aggregation can be supported this way.In fact, we look for certain characteristics to ensure that this aggregation pattern will apply:
Closure: performing the aggregation step should produce a result of the same type as the elements being aggregated.
Examples:1L + 3L
produces aLong
, and'foo' + 'bar'
produces aString
.
Non-monoid examples:'foo'.size() + 'bar'.size()
(takes strings, returns an integer),the typeodd numbers with respect to addition, algorithms which don’t handle null arguments if such arguments are possible.
When using the termclosure here, we simply mean closed under the operation, not the Groovy |
Associativity: the order in which we apply the aggregation step should not matter.
Examples:(1 + 3) + 5
is the same as1 + (3 + 5)
, and('a' + 'b') + 'c'
is the same as'a' + ('b' + 'c')
.
Non-monoid example:(10 - 5) - 3
is not equal to10 - (5 - 3)
therefore integers are not a monoid with respect to subtraction.
Identity element (sometimes also called a 'zero' element):there should be an element which aggregated with any element returns the original element.
Examples:0 + 42 == 42
,42 + 0 == 42
,1 * 42 == 42
, and'' + 'foo' == 'foo'
.
Non-monoid example: the typenon-empty strings is not a monoid with respect to concatenation.
If your algorithm doesn’t satisfy all the monoid properties, that doesn’t mean aggregation isn’t possible.It just means that you won’t get all the benefits from monoids, which we’ll cover shortly, or you might havea little more work to do.Also, you might be able to convert your data structures slightly to turn your problem into one involving monoids.We’ll cover that topic a little later in this section.
Consider adding the integers 10 through 16.Because the operation of addition for integers is a monoid, we already know that we can save writing codeand instead use the approach we saw in the earlierinject
examples.There are some other nice properties.
Because of theclosure property,if we have a pairwise method likesum(Integer a, Integer b)
, then for a monoid, we can alwaysextend that method to work with a list, e.g.sum(List<Integer> nums)
orsum(Integer first, Integer… rest)
.
Because ofassociativity,we can employ some interesting ways to solve the aggregation including:
Divide and conquer algorithms which break the problem into smaller pieces
Various incremental algorithms for example memoization would allow summing from 1..5to potentially start part way through be reusing a cached value of summing 1..4 if that had been calculated earlier
Inherent parallelization can make use of multiple cores
Let’s just look at the first of these in more detail. With a multicoreprocessor, one core could add10
plus11
, another core12
plus13
, and so on.We’d use theidentity element if needed (shown being added to16
in our example).Then the intermediate results could also be added together concurrently and so on until the result was reached.
We have reduced the amount of code we need to write, and we also have potential performance gains.
Here is how we might code the previous example using theGParsconcurrency and parallelism framework (two alternatives shown):
def nums = 10..16GParsPool.withPool { assert 91 == nums.injectParallel(0){ total, next -> total + next } assert 91 == nums.parallel.reduce(0, (total, next) -> total + next)}
Suppose we want to find the average of the numbers 1..10. Groovy has a built-in method for this:
assert (1..10).average() == 5.5
Now, suppose we want to build our own monoid solution instead of using the built-in version.It might seem difficult to find theidentity element. After all:
assert (0..10).average() == 5
Similarly, if we are tempted to write the pairwise aggregation closure it might be something like:
def avg = { a, b -> (a + b) / 2 }
Whatb
can we use for theidentity element here so that our equation returns the original?We need to usea
, but that isn’t a fixed value, so there is noidentity.
Also, associativity doesn’t hold for this initial attempt at definingavg
as these examples show:
assert 6 == avg(avg(10, 2), 6)assert 7 == avg(10, avg(2, 6))
Also, what about ourclosure property? Our original numbers were integers, but our average (5.5
)is not. We can solve this by making our average work for anyNumber
instances, but it might not always be this easy.
It might appear that this problem is not amenable to a monoidal solution.However, there are numerous ways to bring monoids into the solution.
We can split it into two parts:
def nums = 1..10def total = nums.sum()def avg = total / nums.size()assert avg == 5.5
The calculation ofsum()
can follow monoid rules and then our last step can calculate the average.We can even do a concurrent version with GPars:
withPool { assert 5.5 == nums.sumParallel() / nums.size()}
Here, we were using the built-insum()
method (andsumParallel()
for the GPars example),but if you were doing it by hand, the monoid nature of that part of your calculation wouldmake it easier to write your own code for that step.
Alternatively, we can introduce a helper data structure that reworks the problem to be a monoid.Instead of just keeping the total, let’s keep a list containing the total and count of numbers.The code could look something like this:
def holder = nums .collect{ [it, 1] } .inject{ a, b -> [a[0] + b[0], a[1] + b[1]] }def avg = holder[0] / holder[1]assert avg == 5.5
Or, to be a little fancier, we could introduce a class for our data structure and even calculateconcurrently:
class AverageHolder { int total int count AverageHolder plus(AverageHolder other) { return new AverageHolder(total: total + other.total, count: count + other.count) } static final AverageHolder ZERO = new AverageHolder(total: 0, count: 0)}def asHolder = { it instanceof Integer ? new AverageHolder(total: it, count : 1) : it}def pairwiseAggregate = { aggregate, next -> asHolder(aggregate) + asHolder(next)}withPool { def holder = nums.injectParallel(AverageHolder.ZERO, pairwiseAggregate) def avg = holder.with{ total / count } assert avg == 5.5}
TheNull Object Pattern involves using a special object place-marker object representing null. Typically, if you have a reference to null, you can’t invokereference.field
orreference.method()
You receive the dreadedNullPointerException
. The null object pattern uses a special object representing null, instead of using an actualnull
. This allows you to invoke field and method references on the null object. The result of using the null object should semantically be equivalent todoing nothing.
Suppose we have the following system:
class Job { def salary}class Person { def name def Job job}def people = [ new Person(name: 'Tom', job: new Job(salary: 1000)), new Person(name: 'Dick', job: new Job(salary: 1200)),]def biggestSalary = people.collect { p -> p.job.salary }.max()println biggestSalary
When run, this prints out1200
. Suppose now that we now invoke:
people << new Person(name: 'Harry')
If we now try to calculatebiggestSalary
again, we receive a null pointer exception.
To overcome this problem, we can introduce aNullJob
class and change the above statement to become:
class NullJob extends Job { def salary = 0 }people << new Person(name: 'Harry', job: new NullJob())biggestSalary = people.collect { p -> p.job.salary }.max()println biggestSalary
This works as we require but it’s not always the best way to do this with Groovy. Groovy’s safe-dereference operator (?.
) operator and null aware closures often allow Groovy to avoid the need to create a special null object or null class. This is illustrated by examining a groovier way to write the above example:
people << new Person(name:'Harry')biggestSalary = people.collect { p -> p.job?.salary }.max()println biggestSalary
Two things are going on here to allow this to work. First of all,max()
is'null aware' so that [300, null, 400].max() == 400. Secondly, with the?.
operator, an expression likep?.job?.salary
will be equal to null ifsalary
is equal to null, or ifjob
is equal ` null or ifp
is equal to null. You don’t need to code a complex nested if ... then ... else to avoid aNullPointerException
.
Consider the following example where we want to calculate size, cumulative sum and cumulative product of all the values in a tree structure.
Our first attempt has special logic within the calculation methods to handle null values.
class NullHandlingTree { def left, right, value def size() { 1 + (left ? left.size() : 0) + (right ? right.size() : 0) } def sum() { value + (left ? left.sum() : 0) + (right ? right.sum() : 0) } def product() { value * (left ? left.product() : 1) * (right ? right.product() : 1) }}def root = new NullHandlingTree( value: 2, left: new NullHandlingTree( value: 3, right: new NullHandlingTree(value: 4), left: new NullHandlingTree(value: 5) ))println root.size()println root.sum()println root.product()
If we introduce the null object pattern (here by defining theNullTree
class), we can now simplify the logic in thesize()
,sum()
and`product()` methods. These methods now much more clearly represent the logic for the normal (and now universal) case. Each of the methods withinNullTree
returns a value which represents doing nothing.
class Tree { def left = new NullTree(), right = new NullTree(), value def size() { 1 + left.size() + right.size() } def sum() { value + left.sum() + right.sum() } def product() { value * left.product() * right.product() }}class NullTree { def size() { 0 } def sum() { 0 } def product() { 1 }}def root = new Tree( value: 2, left: new Tree( value: 3, right: new Tree(value: 4), left: new Tree(value: 5) ))println root.size()println root.sum()println root.product()
The result of running either of these examples is:
414120
Note: a slight variation with the null object pattern is to combine it with the singleton pattern. So, we wouldn’t write new NullTree() wherever we needed a null object as shown above. Instead we would have a single null object instance which we would place within our data structures as needed.
TheObserver Pattern allows one or moreobservers to be notifiedabout changes or events from asubject object.
Here is a typical implementation of the classic pattern:
interface Observer { void update(message)}class Subject { private List observers = [] void register(observer) { observers << observer } void unregister(observer) { observers -= observer } void notifyAll(message) { observers.each{ it.update(message) } }}class ConcreteObserver1 implements Observer { def messages = [] void update(message) { messages << message }}class ConcreteObserver2 implements Observer { def messages = [] void update(message) { messages << message.toUpperCase() }}def o1a = new ConcreteObserver1()def o1b = new ConcreteObserver1()def o2 = new ConcreteObserver2()def observers = [o1a, o1b, o2]new Subject().with { register(o1a) register(o2) notifyAll('one')}new Subject().with { register(o1b) register(o2) notifyAll('two')}def expected = [['one'], ['two'], ['ONE', 'TWO']]assert observers*.messages == expected
Using Closures, we can avoid creating the concrete observer classes as shown below:
interface Observer { void update(message)}class Subject { private List observers = [] void register(Observer observer) { observers << observer } void unregister(observer) { observers -= observer } void notifyAll(message) { observers.each{ it.update(message) } }}def messages1a = [], messages1b = [], messages2 = []def o2 = { messages2 << it.toUpperCase() }new Subject().with { register{ messages1a << it } register(o2) notifyAll('one')}new Subject().with { register{ messages1b << it } register(o2) notifyAll('two')}def expected = [['one'], ['two'], ['ONE', 'TWO']]assert [messages1a, messages1b, messages2] == expected
As a variation for Groovy 3+, let’s consider dropping theObserver
interface and using lambdas as shown below:
import java.util.function.Consumerclass Subject { private List<Consumer> observers = [] void register(Consumer observer) { observers << observer } void unregister(observer) { observers -= observer } void notifyAll(message) { observers.each{ it.accept(message) } }}def messages1a = [], messages1b = [], messages2 = []def o2 = { messages2 << it.toUpperCase() }new Subject().with { register(s -> messages1a << s) register(s -> messages2 << s.toUpperCase()) notifyAll('one')}new Subject().with { register(s -> messages1b << s) register(s -> messages2 << s.toUpperCase()) notifyAll('two')}def expected = [['one'], ['two'], ['ONE', 'TWO']]assert [messages1a, messages1b, messages2] == expected
We are now calling theaccept
method fromConsumer
ratherthan theupdate
method fromObserver
.
The JDK has some built-in classes which follow the observer pattern.Thejava.util.Observer
andjava.util.Observable
classes are deprecated from JDK 9 due to various limitations.Instead, you are recommended to use various more powerful classes in thejava.beans
package such asjava.beans.PropertyChangeListener
.Luckily, Groovy has some built-in transforms (groovy.beans.Bindable andgroovy.beans.Vetoable)which support for some key classes from that package.
import groovy.beans.*import java.beans.*class PersonBean { @Bindable String first @Bindable String last @Vetoable Integer age}def messages = [:].withDefault{[]}new PersonBean().with { addPropertyChangeListener{ PropertyChangeEvent ev -> messages[ev.propertyName] << "prop: $ev.newValue" } addVetoableChangeListener{ PropertyChangeEvent ev -> def name = ev.propertyName if (name == 'age' && ev.newValue > 40) throw new PropertyVetoException() messages[name] << "veto: $ev.newValue" } first = 'John' age = 35 last = 'Smith' first = 'Jane' age = 42}def expected = [ first:['prop: John', 'prop: Jane'], age:['veto: 35'], last:['prop: Smith']]assert messages == expected
Here, methods likeaddPropertyChangeListener
perform the same role asregisterObserver
in previous examples.There is afirePropertyChange
method corresponding tonotifyAll
/notifyObservers
in previous examples but Groovy adds thatautomatically here, so it isn’t visible in the source code. There is also apropertyChange
method that correspondsto theupdate
method in previous examples, though again, that isn’t visible here.
ThePimp my Library Pattern suggests an approach for extending a library that nearly does everything that you need but just needs a little more. It assumes that you do not have source code for the library of interest.
Suppose we want to make use of the built-in Integer facilities in Groovy (which build upon the features already in Java). Those libraries have nearly all of the features we want but not quite everything. We may not have all of the source code to the Groovy and Java libraries so we can’t just change the library. Instead we augment the library. Groovy has a number of ways to do this. One way is to use a Category.
First, we’ll define a suitable category.
class EnhancedInteger { static boolean greaterThanAll(Integer self, Object[] others) { greaterThanAll(self, others) } static boolean greaterThanAll(Integer self, others) { others.every { self > it } }}
We have added two methods which augment the Integer methods by providing thegreaterThanAll
method. Categories follow conventions where they are defined as static methods with a special first parameter representing the class we wish to extend. The greaterThanAll(Integer self, others) static method becomes thegreaterThanAll(other)
instance method.
We defined two versions ofgreaterThanAll
. One which works for collections, ranges etc. The other which works with a variable number ofInteger
arguments.
Here is how you would use the category.
use(EnhancedInteger) { assert 4.greaterThanAll(1, 2, 3) assert !5.greaterThanAll(2, 4, 6) assert 5.greaterThanAll(-4..4) assert 5.greaterThanAll([]) assert !5.greaterThanAll([4, 5])}
As you can see, using this technique you can effectively enrich an original class without having access to its source code. Moreover, you can apply different enrichments in different parts of the system as well as work with un-enriched objects if we need to.
TheProxy Pattern allows one object to act as a pretend replacement for some other object. In general, whoever is using the proxy, doesn’t realise that they are not using the real thing. The pattern is useful when the real object is hard to create or use: it may exist over a network connection, or be a large object in memory, or be a file, database or some other resource that is expensive or impossible to duplicate.
One common use of the proxy pattern is when talking to remote objects in a different JVM. Here is the client code for creating a proxy that talks via sockets to a server object as well as an example usage:
class AccumulatorProxy { def accumulate(args) { def result def s = new Socket("localhost", 54321) s.withObjectStreams { ois, oos -> oos << args result = ois.readObject() } s.close() return result }}println new AccumulatorProxy().accumulate([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])// => 55
Here is what your server code might look like (start this first):
class Accumulator { def accumulate(args) { args.inject(0) { total, arg -> total += arg } }}def port = 54321def accumulator = new Accumulator()def server = new ServerSocket(port)println "Starting server on port $port"while(true) { server.accept() { socket -> socket.withObjectStreams { ois, oos -> def args = ois.readObject() oos << accumulator.accumulate(args) } }}
TheSingleton Pattern is used to make sure only one object of a particular class is ever created. This can be useful when exactly one object is needed to coordinate actions across a system; perhaps for efficiency where creating lots of identical objects would be wasteful, perhaps because a particular algorithm needing a single point of control is required or perhaps when an object is used to interact with a non-shareable resource.
Weaknesses of the Singleton pattern include:
It can reduce reuse. For instance, there are issues if you want to use inheritance with Singletons. IfSingletonB
extendsSingletonA
, should there be exactly (at most) one instance of each or should the creation of an object from one of the classes prohibit creation from the other. Also, if you decide both classes can have an instance, how do you override thegetInstance()
method which is static?
It is also hard to test singletons in general because of the static methods but Groovy can support that if required.
Suppose we wish to create a class for collecting votes. Because getting the right number of votes may be very important, we decide to use the singleton pattern. There will only ever be oneVoteCollector
object, so it makes it easier for us to reason about that objects creation and use.
class VoteCollector { def votes = 0 private static final INSTANCE = new VoteCollector() static getInstance() { return INSTANCE } private VoteCollector() { } def display() { println "Collector:${hashCode()}, Votes:$votes" }}
Some points of interest in this code:
it has a private constructor, so noVoteCollector
objects can be created in our system (except for theINSTANCE
we create)
theINSTANCE
is also private, so it can’t be changed once set
we haven’t made the updating of votes thread-safe at this point (it doesn’t add to this example)
the vote collector instance is not lazily created (if we never reference the class, the instance won’t be created; however, as soon as we reference the class, the instance will be created even if not needed initially)
We can use this singleton class in some script code as follows:
def collector = VoteCollector.instancecollector.display()collector.votes++collector = nullThread.start{ def collector2 = VoteCollector.instance collector2.display() collector2.votes++ collector2 = null}.join()def collector3 = VoteCollector.instancecollector3.display()
Here we used the instance 3 times. The second usage was even in a different thread (but don’t try this in a scenario with a new class loader).
Running this script yields (your hashcode value will vary):
Collector:15959960, Votes:0Collector:15959960, Votes:1Collector:15959960, Votes:2
Variations to this pattern:
To support lazy-loading and multi-threading, we could just use thesynchronized
keyword with thegetInstance()
method. This has a performance hit but will work.
We can consider variations involving double-checked locking and thevolatile
keyword, but see the limitations of this approachhere.
Groovy’s meta-programming capabilities allow concepts like the singleton pattern to be enacted in a far more fundamental way. This example illustrates a simple way to use Groovy’s meta-programming capabilities to achieve the singleton pattern but not necessarily the most efficient way.
Suppose we want to keep track of the total number of calculations that a calculator performs. One way to do that is to use a singleton for the calculator class and keep a variable in the class with the count.
First we define some base classes. ACalculator
class which performs calculations and records how many such calculations it performs and aClient
class which acts as a facade to the calculator.
class Calculator { private total = 0 def add(a, b) { total++; a + b } def getTotalCalculations() { 'Total Calculations: ' + total } String toString() { 'Calc: ' + hashCode() }}class Client { def calc = new Calculator() def executeCalc(a, b) { calc.add(a, b) } String toString() { 'Client: ' + hashCode() }}
Now we can define and register aMetaClass which intercepts all attempts to create aCalculator
object and always provides a pre-created instance instead. We also register this MetaClass with the Groovy system:
class CalculatorMetaClass extends MetaClassImpl { private static final INSTANCE = new Calculator() CalculatorMetaClass() { super(Calculator) } def invokeConstructor(Object[] arguments) { return INSTANCE }}def registry = GroovySystem.metaClassRegistryregistry.setMetaClass(Calculator, new CalculatorMetaClass())
Now we use instances of ourClient
class from within a script. The client class will attempt to create new instances of the calculator but will always get the singleton.
def client = new Client()assert 3 == client.executeCalc(1, 2)println "$client, $client.calc, $client.calc.totalCalculations"client = new Client()assert 4 == client.executeCalc(2, 2)println "$client, $client.calc, $client.calc.totalCalculations"
Here is the result of running this script (your hashcode values may vary):
Client: 7306473, Calc: 24230857, Total Calculations: 1Client: 31436753, Calc: 24230857, Total Calculations: 2
We can also implement the Singleton Pattern usingGuice.
Consider the Calculator example again.
Guice is a Java-oriented framework that supports Interface-Oriented design. Hence we create aCalculator
interface first. We can then create ourCalculatorImpl
implementation and aClient
object which our script will interact with. TheClient
class isn’t strictly needed for this example but allows us to show that non-singleton instances are the default. Here is the code:
@Grapes([@Grab('aopalliance:aopalliance:1.0'), @Grab('com.google.code.guice:guice:1.0')])import com.google.inject.*interface Calculator { def add(a, b)}class CalculatorImpl implements Calculator { private total = 0 def add(a, b) { total++; a + b } def getTotalCalculations() { 'Total Calculations: ' + total } String toString() { 'Calc: ' + hashCode() }}class Client { @Inject Calculator calc def executeCalc(a, b) { calc.add(a, b) } String toString() { 'Client: ' + hashCode() }}def injector = Guice.createInjector ( [configure: { binding -> binding.bind(Calculator) .to(CalculatorImpl) .asEagerSingleton() } ] as Module)def client = injector.getInstance(Client)assert 3 == client.executeCalc(1, 2)println "$client, $client.calc, $client.calc.totalCalculations"client = injector.getInstance(Client)assert 4 == client.executeCalc(2, 2)println "$client, $client.calc, $client.calc.totalCalculations"
Note the@Inject
annotation in theClient
class. We can always tell right in the source code which fields will be injected.
In this example we chose to use anexplicit binding. All of our dependencies (ok, only one in this example at the moment) are configured in the binding. The Guide injector knows about the binding and injects the dependencies as required when we create objects. For the singleton pattern to hold, you must always use Guice to create your instances. Nothing shown so far would stop you creating another instance of the calculator manually using new CalculatorImpl() which would of course violate the desired singleton behaviour.
In other scenarios (though probably not in large systems), we could choose to express dependencies using annotations, such as the following example shows:
@Grapes([@Grab('aopalliance:aopalliance:1.0'), @Grab('com.google.code.guice:guice:1.0')])import com.google.inject.*@ImplementedBy(CalculatorImpl)interface Calculator { // as before ...}@Singletonclass CalculatorImpl implements Calculator { // as before ...}class Client { // as before ...}def injector = Guice.createInjector()// ...
Note the@Singleton
annotation on theCalculatorImpl
class and the@ImplementedBy
annotation in theCalculator
interface.
When run, the above example (using either approach) yields (your hashcode values will vary):
Client: 8897128, Calc: 17431955, Total Calculations: 1Client: 21145613, Calc: 17431955, Total Calculations: 2
You can see that we obtained a new client object whenever we asked for an instance but it was injected with the same calculator object.
We can do the Calculator example again using Spring as follows:
@Grapes([@Grab('org.springframework:spring-core:5.2.8.RELEASE'), @Grab('org.springframework:spring-beans:5.2.8.RELEASE')])import org.springframework.beans.factory.support.*interface Calculator { def add(a, b)}class CalculatorImpl implements Calculator { private total = 0 def add(a, b) { total++; a + b } def getTotalCalculations() { 'Total Calculations: ' + total } String toString() { 'Calc: ' + hashCode() }}class Client { Client(Calculator calc) { this.calc = calc } def calc def executeCalc(a, b) { calc.add(a, b) } String toString() { 'Client: ' + hashCode() }}// Here we 'wire' up our dependencies through the API. Alternatively,// we could use XML-based configuration or the Grails Bean Builder DSL.def factory = new DefaultListableBeanFactory()factory.registerBeanDefinition('calc', new RootBeanDefinition(CalculatorImpl))def beanDef = new RootBeanDefinition(Client, false)beanDef.setAutowireMode(AbstractBeanDefinition.AUTOWIRE_AUTODETECT)factory.registerBeanDefinition('client', beanDef)def client = factory.getBean('client')assert 3 == client.executeCalc(1, 2)println "$client, $client.calc, $client.calc.totalCalculations"client = factory.getBean('client')assert 4 == client.executeCalc(2, 2)println "$client, $client.calc, $client.calc.totalCalculations"
And here is the result (your hashcode values will vary):
Client: 29418586, Calc: 10580099, Total Calculations: 1Client: 14800362, Calc: 10580099, Total Calculations: 2
TheState Pattern provides a structured approach to partitioning the behaviour within complex systems. The overall behaviour of a system is partitioned into well-defined states. Typically, each state is implemented by a class. The overall system behaviour can be determined firstly by knowing thecurrent state of the system; secondly, by understanding the behaviour possible while in that state (as embodied in the methods of the class corresponding to that state).
Here is an example:
class Client { def context = new Context() def connect() { context.state.connect() } def disconnect() { context.state.disconnect() } def send_message(message) { context.state.send_message(message) } def receive_message() { context.state.receive_message() }}class Context { def state = new Offline(this)}class ClientState { def context ClientState(context) { this.context = context inform() }}class Offline extends ClientState { Offline(context) { super(context) } def inform() { println "offline" } def connect() { context.state = new Online(context) } def disconnect() { println "error: not connected" } def send_message(message) { println "error: not connected" } def receive_message() { println "error: not connected" }}class Online extends ClientState { Online(context) { super(context) } def inform() { println "connected" } def connect() { println "error: already connected" } def disconnect() { context.state = new Offline(context) } def send_message(message) { println "\"$message\" sent" } def receive_message() { println "message received" }}client = new Client()client.send_message("Hello")client.connect()client.send_message("Hello")client.connect()client.receive_message()client.disconnect()
Here is the output:
offlineerror: not connectedconnected"Hello" senterror: already connectedmessage receivedoffline
One of the great things about a dynamic language like Groovy though is that we can take this example and express it in many different ways depending on our particular needs. Some potential variations for this example are shown below.
One approach we could take is to leverageInterface-Oriented Design. To do this, we could introduce the following interface:
interface State { def connect() def disconnect() def send_message(message) def receive_message()}
Then ourClient
,Online
and 'Offline` classes could be modified to implement that interface, e.g.:
class Client implements State { // ... as before ...}class Online implements State { // ... as before ...}class Offline implements State { // ... as before ...}
You might ask: Haven’t we just introduced additional boilerplate code? Can’t we rely on duck-typing for this? The answer is 'yes' and 'no'. We can get away with duck-typing but one of the key intentions of the state pattern is to partition complexity. If we know that theclient class and eachstate class all satisfy one interface, then we have placed some key boundaries around the complexity. We can look at any state class in isolation and know the bounds of behaviour possible for that state.
We don’t have to use interfaces for this, but it helps express the intent of this particular style of partitioning and it helps reduce the size of our unit tests (we would have to have additional tests in place to express this intent in languages which have less support for interface-oriented design).
Alternatively, or in combination with other variations, we might decide to extract some of our State Pattern logic into helper classes. For example, we could define the following classes in a state pattern package/jar/script:
abstract class InstanceProvider { static def registry = GroovySystem.metaClassRegistry static def create(objectClass, param) { registry.getMetaClass(objectClass).invokeConstructor([param] as Object[]) }}abstract class Context { private context protected setContext(context) { this.context = context } def invokeMethod(String name, Object arg) { context.invokeMethod(name, arg) } def startFrom(initialState) { setContext(InstanceProvider.create(initialState, this)) }}abstract class State { private client State(client) { this.client = client } def transitionTo(nextState) { client.setContext(InstanceProvider.create(nextState, client)) }}
This is all quite generic and can be used wherever we want to introduce the state pattern. Here is what our code would look like now:
class Client extends Context { Client() { startFrom(Offline) }}class Offline extends State { Offline(client) { super(client) println "offline" } def connect() { transitionTo(Online) } def disconnect() { println "error: not connected" } def send_message(message) { println "error: not connected" } def receive_message() { println "error: not connected" }}class Online extends State { Online(client) { super(client) println "connected" } def connect() { println "error: already connected" } def disconnect() { transitionTo(Offline) } def send_message(message) { println "\"$message\" sent" } def receive_message() { println "message received" }}client = new Client()client.send_message("Hello")client.connect()client.send_message("Hello")client.connect()client.receive_message()client.disconnect()
You can see here thestartFrom
andtransitionTo
methods begin to give our example code a DSL feel.
Alternatively, or in combination with other variations, we might decide to fully embrace a Domain Specific Language (DSL) approach to this example.
We can define the following generic helper functions (first discussedhere):
class Grammar { def fsm def event def fromState def toState Grammar(a_fsm) { fsm = a_fsm } def on(a_event) { event = a_event this } def on(a_event, a_transitioner) { on(a_event) a_transitioner.delegate = this a_transitioner.call() this } def from(a_fromState) { fromState = a_fromState this } def to(a_toState) { assert a_toState, "Invalid toState: $a_toState" toState = a_toState fsm.registerTransition(this) this } def isValid() { event && fromState && toState } public String toString() { "$event: $fromState=>$toState" }}
class FiniteStateMachine { def transitions = [:] def initialState def currentState FiniteStateMachine(a_initialState) { assert a_initialState, "You need to provide an initial state" initialState = a_initialState currentState = a_initialState } def record() { Grammar.newInstance(this) } def reset() { currentState = initialState } def isState(a_state) { currentState == a_state } def registerTransition(a_grammar) { assert a_grammar.isValid(), "Invalid transition ($a_grammar)" def transition def event = a_grammar.event def fromState = a_grammar.fromState def toState = a_grammar.toState if (!transitions[event]) { transitions[event] = [:] } transition = transitions[event] assert !transition[fromState], "Duplicate fromState $fromState for transition $a_grammar" transition[fromState] = toState } def fire(a_event) { assert currentState, "Invalid current state '$currentState': passed into constructor" assert transitions.containsKey(a_event), "Invalid event '$a_event', should be one of ${transitions.keySet()}" def transition = transitions[a_event] def nextState = transition[currentState] assert nextState, "There is no transition from '$currentState' to any other state" currentState = nextState currentState }}
Now we can define and test our state machine like this:
class StatePatternDslTest extends GroovyTestCase { private fsm protected void setUp() { fsm = FiniteStateMachine.newInstance('offline') def recorder = fsm.record() recorder.on('connect').from('offline').to('online') recorder.on('disconnect').from('online').to('offline') recorder.on('send_message').from('online').to('online') recorder.on('receive_message').from('online').to('online') } void testInitialState() { assert fsm.isState('offline') } void testOfflineState() { shouldFail{ fsm.fire('send_message') } shouldFail{ fsm.fire('receive_message') } shouldFail{ fsm.fire('disconnect') } assert 'online' == fsm.fire('connect') } void testOnlineState() { fsm.fire('connect') fsm.fire('send_message') fsm.fire('receive_message') shouldFail{ fsm.fire('connect') } assert 'offline' == fsm.fire('disconnect') }}
This example isn’t an exact equivalent of the others. It doesn’t use predefinedOnline
andOffline
classes.Instead, it defines the entire state machine on the fly as needed.See theprevious reference for more elaborate examples of this style.
See also:Model-based testing using ModelJUnit
TheStrategy Pattern allows you to abstract away particular algorithms from their usage. This allows you to easily swap the algorithm being used without having to change the calling code. The general form of the pattern is:
In Groovy, because of its ability to treat code as a first class object using anonymous methods (which we loosely callClosures), the need for the strategy pattern is greatly reduced. You can simply place algorithms inside Closures.
First let’s look at the traditional way of encapsulating the Strategy Pattern.
interface Calc { def execute(n, m)}class CalcByMult implements Calc { def execute(n, m) { n * m }}class CalcByManyAdds implements Calc { def execute(n, m) { def result = 0 n.times{ result += m } result }}def sampleData = [ [3, 4, 12], [5, -5, -25]]Calc[] multiplicationStrategies = [ new CalcByMult(), new CalcByManyAdds()]sampleData.each{ data -> multiplicationStrategies.each { calc -> assert data[2] == calc.execute(data[0], data[1]) }}
Here we have defined an interfaceCalc
which our concrete strategy classes will implement (we could also have used an abstract class).We then defined two algorithms for doing simple multiplication:CalcByMult
the normal way, and CalcByManyAdds using only addition (don’t try this one using negative numbers - yes we could fix this but it would just make the example longer).We then use normalpolymorphism to invoke the algorithms.
Here is the Groovier way to achieve the same thing using Closures:
def multiplicationStrategies = [ { n, m -> n * m }, { n, m -> def result = 0; n.times{ result += m }; result }]def sampleData = [ [3, 4, 12], [5, -5, -25]]sampleData.each{ data -> multiplicationStrategies.each { calc -> assert data[2] == calc(data[0], data[1]) }}
For Groovy 3+, we can leverage lambda syntax:
interface Calc { def execute(n, m)}List<Calc> multiplicationStrategies = [ (n, m) -> n * m, (n, m) -> { def result = 0; n.times{ result += m }; result }]def sampleData = [ [3, 4, 12], [5, -5, -25]]sampleData.each{ data -> multiplicationStrategies.each { calc -> assert data[2] == calc(data[0], data[1]) }}
Or we can use the built-in JDKBiFunction
class:
import java.util.function.BiFunctionList<BiFunction<Integer, Integer, Integer>> multiplicationStrategies = [ (n, m) -> n * m, (n, m) -> { def result = 0; n.times{ result += m }; result }]def sampleData = [ [3, 4, 12], [5, -5, -25]]sampleData.each{ data -> multiplicationStrategies.each { calc -> assert data[2] == calc(data[0], data[1]) }}
TheTemplate Method Pattern abstractsaway the details of several algorithms.The generic part of an algorithm is contained within a base class.Particular implementation details are captured within child classes.The generic pattern of classes involved looks like this:
In this example, the baseAccumulator
class captures the essence of the accumulation algorithm.The child classesSum
andProduct
provide particular customised ways to use the generic accumulation algorithm.
abstract class Accumulator { protected initial abstract doAccumulate(total, v) def accumulate(values) { def total = initial values.each { v -> total = doAccumulate(total, v) } total }}class Sum extends Accumulator { def Sum() { initial = 0 } def doAccumulate(total, v) { total + v }}class Product extends Accumulator { def Product() { initial = 1 } def doAccumulate(total, v) { total * v }}assert 10 == new Sum().accumulate([1,2,3,4])assert 24 == new Product().accumulate([1,2,3,4])
In this particular case, you could use Groovy’s inject method to achieve a similar result using Closures:
Closure addAll = { total, item -> total += item }def accumulated = [1, 2, 3, 4].inject(0, addAll)assert accumulated == 10
Thanks to duck-typing, this would also work with other objects which support an add (plus()
in Groovy) method, e.g.:
accumulated = [ "1", "2", "3", "4" ].inject("", addAll)assert accumulated == "1234"
We could also do the multiplication case as follows (re-writing as a one-liner):
assert 24 == [1, 2, 3, 4].inject(1) { total, item -> total *= item }
Using closures this way looks like theStrategy Pattern, but if we realisethat Groovy’sinject
method is the generic part of the algorithm for our template method,then the Closures become the customised parts of the template method pattern.
For Groovy 3+, we can use lambda syntax as an alternative to the closure syntax:
assert 10 == [1, 2, 3, 4].stream().reduce(0, (l, r) -> l + r)assert 24 == [1, 2, 3, 4].stream().reduce(1, (l, r) -> l * r)assert '1234' == ['1', '2', '3', '4'].stream().reduce('', (l, r) -> l + r)
Here the stream api’sreduce
method is the generic part of the algorithm for our template method,and the lambdas are the customised parts of the template method pattern.
TheVisitor Pattern is one of those well-known but notoften used patterns. Perhaps this is because it seems a little complex at first.But once you become familiar with it, it becomes a powerful way to evolve your codeand as we’ll see, Groovy provides ways to reduce some to the complexity, so there isno reason not to consider using this pattern.
The goal of the pattern is to separate an algorithm from an object structure.A practical result of this separation is the ability to add new operations to existingobject structures without modifying those structures.
This example considers how to calculate the bounds of shapes (or collections of shapes).Our first attempt uses the traditional visitor pattern.We will see a more Groovy way to do this shortly.
abstract class Shape { }@ToString(includeNames=true)class Rectangle extends Shape { def x, y, w, h Rectangle(x, y, w, h) { this.x = x; this.y = y; this.w = w; this.h = h } def union(rect) { if (!rect) return this def minx = [rect.x, x].min() def maxx = [rect.x + rect.w, x + w].max() def miny = [rect.y, y].min() def maxy = [rect.y + rect.h, y + h].max() new Rectangle(minx, miny, maxx - minx, maxy - miny) } def accept(visitor) { visitor.visit_rectangle(this) }}class Line extends Shape { def x1, y1, x2, y2 Line(x1, y1, x2, y2) { this.x1 = x1; this.y1 = y1; this.x2 = x2; this.y2 = y2 } def accept(visitor){ visitor.visit_line(this) }}class Group extends Shape { def shapes = [] def add(shape) { shapes += shape } def remove(shape) { shapes -= shape } def accept(visitor) { visitor.visit_group(this) }}class BoundingRectangleVisitor { def bounds def visit_rectangle(rectangle) { if (bounds) bounds = bounds.union(rectangle) else bounds = rectangle } def visit_line(line) { def line_bounds = new Rectangle([line.x1, line.x2].min(), [line.y1, line.y2].min(), line.x2 - line.y1, line.x2 - line.y2) if (bounds) bounds = bounds.union(line_bounds) else bounds = line_bounds } def visit_group(group) { group.shapes.each { shape -> shape.accept(this) } }}def group = new Group()group.add(new Rectangle(100, 40, 10, 5))group.add(new Rectangle(100, 70, 10, 5))group.add(new Line(90, 30, 60, 5))def visitor = new BoundingRectangleVisitor()group.accept(visitor)bounding_box = visitor.boundsassert bounding_box.toString() == 'Rectangle(x:60, y:5, w:50, h:70)'
That took quite a bit of code, but the idea now is that we could addfurther algorithms just by adding new visitors with our shape classes remainingunchanged, e.g. we could add a total area visitor or a collision detection visitor.
We can improve the clarity of our code (and shrink it to about half the size) bymaking use of Groovy Closures as follows:
abstract class Shape { def accept(Closure yield) { yield(this) }}@ToString(includeNames=true)class Rectangle extends Shape { def x, y, w, h def bounds() { this } def union(rect) { if (!rect) return this def minx = [ rect.x, x ].min() def maxx = [ rect.x + rect.w, x + w ].max() def miny = [ rect.y, y ].min() def maxy = [ rect.y + rect.h, y + h ].max() new Rectangle(x:minx, y:miny, w:maxx - minx, h:maxy - miny) }}class Line extends Shape { def x1, y1, x2, y2 def bounds() { new Rectangle(x:[x1, x2].min(), y:[y1, y2].min(), w:(x2 - x1).abs(), h:(y2 - y1).abs()) }}class Group { def shapes = [] def leftShift(shape) { shapes += shape } def accept(Closure yield) { shapes.each{it.accept(yield)} }}def group = new Group()group << new Rectangle(x:100, y:40, w:10, h:5)group << new Rectangle(x:100, y:70, w:10, h:5)group << new Line(x1:90, y1:30, x2:60, y2:5)def boundsgroup.accept{ bounds = it.bounds().union(bounds) }assert bounds.toString() == 'Rectangle(x:60, y:5, w:50, h:70)'
Or, using lambdas as follows:
abstract class Shape { def accept(Function<Shape, Shape> yield) { yield.apply(this) }}@ToString(includeNames=true)class Rectangle extends Shape { /* ... same as with Closures ... */}class Line extends Shape { /* ... same as with Closures ... */}class Group { def shapes = [] def leftShift(shape) { shapes += shape } def accept(Function<Shape, Shape> yield) { shapes.stream().forEach(s -> s.accept(yield)) }}def group = new Group()group << new Rectangle(x:100, y:40, w:10, h:5)group << new Rectangle(x:100, y:70, w:10, h:5)group << new Line(x1:90, y1:30, x2:60, y2:5)def boundsgroup.accept(s -> { bounds = s.bounds().union(bounds) })assert bounds.toString() == 'Rectangle(x:60, y:5, w:50, h:70)'
Let’s consider another example to illustrate some more points about this pattern.
interface Visitor { void visit(NodeType1 n1) void visit(NodeType2 n2)}interface Visitable { void accept(Visitor visitor)}class NodeType1 implements Visitable { Visitable[] children = new Visitable[0] void accept(Visitor visitor) { visitor.visit(this) for(int i = 0; i < children.length; ++i) { children[i].accept(visitor) } }}class NodeType2 implements Visitable { Visitable[] children = new Visitable[0] void accept(Visitor visitor) { visitor.visit(this) for(int i = 0; i < children.length; ++i) { children[i].accept(visitor) } }}class NodeType1Counter implements Visitor { int count = 0 void visit(NodeType1 n1) { count++ } void visit(NodeType2 n2){}}
If we now useNodeType1Counter
on a tree like this:
NodeType1 root = new NodeType1()root.children = new Visitable[]{new NodeType1(), new NodeType2()}def counter = new NodeType1Counter()root.accept(counter)assert counter.count == 2
Then we have oneNodeType1
object as root and one of the children is also aNodeType1
instance.The other child is aNodeType2
instance.That means usingNodeType1Counter
here should count 2NodeType1
objects as the last statement verifies.
This example illustrates some of the advantages of the visitor pattern.For example, while our visitor has state (the count ofNodeType1
objects), the tree of objects itself is not changed.Similarly, if we wanted to have a visitor counting all node types,or one that counts how many different types are used, or one that gathers informationusing methods special to the node types, again, the visitor alone is all that would need to be written.
In this case we might have a fair bit of work to do. We probably have to change theVisitor
interface to accept the new type,and change potentially most existing visitors based on that interface change,and we have to write the new type itself.A better approach is to write a default implementation of the visitor which all concrete visitors will extend.We’ll see this approach in use shortly.
Then you have a problem.Since the node describes how to iterate, you have no influence and stop iteration at a point or change the order.So maybe we should change this a little to this:
interface Visitor { void visit(NodeType1 n1) void visit(NodeType2 n2)}class DefaultVisitor implements Visitor{ void visit(NodeType1 n1) { for(int i = 0; i < n1.children.length; ++i) { n1.children[i].accept(this) } } void visit(NodeType2 n2) { for(int i = 0; i < n2.children.length; ++i) { n2.children[i].accept(this) } }}interface Visitable { void accept(Visitor visitor)}class NodeType1 implements Visitable { Visitable[] children = new Visitable[0] void accept(Visitor visitor) { visitor.visit(this) }}class NodeType2 implements Visitable { Visitable[] children = new Visitable[0]; void accept(Visitor visitor) { visitor.visit(this) }}class NodeType1Counter extends DefaultVisitor { int count = 0 void visit(NodeType1 n1) { count++ super.visit(n1) }}
Some small changes but with big effect.The visitor is now recursive and tells me how to iterate.The implementation in the Nodes is minimized tovisitor.visit(this)
,DefaultVisitor
is now able to catch the new types, we can stop iteration by not delegating to super.Of course the big disadvantage now is that it is no longer iterative, but you can’t get all the benefits.
The question now is how to make that a bit more Groovy.Didn’t you find thisvisitor.visit(this)
strange? Why is it there?The answer is to simulate double dispatch.In Java, the compile time type is used, so forvisitor.visit(children[i])
the compiler won’t beable to find the correct method, becauseVisitor
does not contain a methodvisit(Visitable)
.And even if it would, we would like to visit the more special methods withNodeType1
orNodeType2
.
Now Groovy is not using the static type, Groovy uses the runtime type.This means we can usevisitor.visit(children[i])
without any problem.Since we minimized the accept method to just do the double dispatch part andsince the runtime type system of Groovy will already cover that, do we need the accept method?Not really, but we can do even more.We had the disadvantage of not knowing how to handle unknown tree elements.We had toextend the interfaceVisitor
for that, resulting in changes toDefaultVisitor
andthen we have the task to provide a useful default like iterating the node or not doing anything at all.Now with Groovy we can catch that case by adding avisit(Visitable)
method that does nothing.That would be the same in Java btw.
But don’t let us stop here. Do we need theVisitor
interface?If we don’t have the accept method, then we don’t need theVisitor
interface at all.So the new code would be:
class DefaultVisitor { void visit(NodeType1 n1) { n1.children.each { visit(it) } } void visit(NodeType2 n2) { n2.children.each { visit(it) } } void visit(Visitable v) { }}interface Visitable { }class NodeType1 implements Visitable { Visitable[] children = []}class NodeType2 implements Visitable { Visitable[] children = []}class NodeType1Counter extends DefaultVisitor { int count = 0 void visit(NodeType1 n1) { count++ super.visit(n1) }}
Looks like we saved a few lines of code here, but we made more.TheVisitable
nodes now do not refer to anyVisitor
class or interface.This is about the best level of separation you might expect here, but we can go further.Let’s change theVisitable
interface a little and let it return the children we want to visit next.This allows us a general iteration method.
class DefaultVisitor { void visit(Visitable v) { doIteration(v) } void doIteration(Visitable v) { v.children.each { visit(it) } }}interface Visitable { Visitable[] getChildren()}class NodeType1 implements Visitable { Visitable[] children = []}class NodeType2 implements Visitable { Visitable[] children = []}class NodeType1Counter extends DefaultVisitor { int count = 0 void visit(NodeType1 n1) { count++ super.visit(n1) }}
DefaultVisitor
now looks a bit different.It has adoIteration
method that will get the children it should iterate over and then call visit on each element.Per default this will callvisit(Visitable)
which then iterates over the children of this child.Visitable
has also changed to ensure that any node will be able to return children (even if empty).We didn’t have to change theNodeType1
andNodeType2
class, because the way the children field wasdefined already made them a property, which means Groovy is so nice to generate a get method for us.Now the really interesting part isNodeType1Counter
, it is interesting because we have not changed it.super.visit(n1)
will now callvisit(Visitable)
which will calldoIteration
which will start the next level of iteration.So no change. Butvisit(it)
will callvisit(NodeType1)
if it is of typeNodeType1
.In fact, we don’t need thedoIteration
method, we could do that invisit(Visitable)
too,but this variant has some benefits. It allows us to write a newVisitor
that overwrites visit(Visitable
)for error cases which of course means we must not dosuper.visit(n1)
butdoIteration(n1)
.
In the end we got ~40% less code, a robust and stable architecture,and we completely removed the Visitor from the Visitable.To achieve the same in Java, you would probably need to resort to reflection.
The visitor pattern has sometimes been described as a poor fit for extreme programmingtechniques because you need to make changes to so many classes all the time.With our design, if we add new types we don’t need to change anything.So, the pattern is a good fit for agile approaches when using Groovy.
There are variants of the Visitor pattern, like theacyclic visitor pattern,that try to solve the problem of adding new node types with special visitors.The implementations of these visitors have their own code smells, like using casts, overuse ofinstanceof
, and other tricks.What’s more the problems such approaches are trying to solve don’t occur within the Groovy version. We recommend avoiding that variant of this pattern.
Finally, in case it isn’t obvious,NodeType1Counter
could be implemented in Java as well.Groovy will recognize the visit methods and call them as needed becauseDefaultVisitor
is still Groovy and does all the magic.
Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides (1995).Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley. ISBN 0-201-63361-2.
The canonical reference of design patterns.
Martin Fowler (1999).Refactoring: Improving the Design of Existing Code. Addison-Wesley. ISBN 0-201-48567-2.
Joshua Kerievsky (2004).Refactoring To Patterns. Addison-Wesley. ISBN 0-321-21335-1.
Eric Freeman, Elisabeth Freeman, Kathy Sierra, Bert Bates (2004).Head First Design Patterns. O’Reilly. ISBN 0-596-00712-4.*A great book to read, informative as well as amusing.
Dierk Koenig with Andrew Glover, Paul King, Guillaume Laforge and Jon Skeet (2007).Groovy in Action. Manning. ISBN 1-932394-84-2.
Discusses Visitor, Builder and other Patterns.
Brad Appleton (1999).Pizza Inversion - a Pattern for Efficient Resource Consumption.
One of the most frequently used patterns by many software engineers!
Design Patterns in Dynamic Languages by Neil Ford.Design Patterns in Dynamic Languages.
The Groovy team would like to thank the contributors of this documentation (in alphabetical order of last/surname):
This work is licensed under theApache License, Version 2.0.