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"Jawn is for parsing jay-sawn."
The term "jawn" comes from the Philadelphia area. It conveys about asmuch information as "thing" does. I chose the name because I had movedto Montreal so I was remembering Philly fondly. Also, there isn't abetter way to describe objects encoded in JSON than "things". Finally,we get a catchy slogan.
Jawn was designed to parse JSON into an AST as quickly as possible.
Jawn consists of three parts:
- A fast, generic JSON parser (
jawn-parser
) - A small, somewhat anemic AST (
jawn-ast
) - A few helpful utilities (
jawn-util
)
Currently Jawn is competitive with the fastest Java JSON libraries(GSON and Jackson) and in the author's benchmarks it often wins. Itseems to be faster than any other Scala parser that exists (as of July2014).
Given the plethora of really nice JSON libraries for Scala, theexpectation is that you're probably here forjawn-parser
or asupport package.
Jawn supports Scala 2.12, 2.13, and 3 on the JVM and Scala.js. Scala2.12 and 2.13 are supported on Scala Native.
Here's abuild.sbt
snippet that shows you how to depend on Jawn inyour own sbt project:
// use this if you just want jawn's parser, and will implement your own facadelibraryDependencies+="org.typelevel"%%"jawn-parser"%"1.3.2"// use this if you want jawn's parser and also jawn's astlibraryDependencies+="org.typelevel"%%"jawn-ast"%"1.3.2"
If you want to use Jawn's parser with another project's AST, see the"Supporting external ASTs with Jawn" section. There are a few reasonsyou might want to do this:
- The library's built-in parser is significantly slower than Jawn's.
- Jawn supports more input types (
ByteBuffer
,File
, etc.). - You need asynchronous JSON parsing.
jawn-parser has no dependencies other than Scala.
jawn-ast depends onjawn-parser but nothing else.
Jawn's parser is both fast and relatively featureful. Assuming youwant to get back an AST of typeJ
and you have aFacade[J]
defined, you can use the followingparse
signatures:
Parser.parseUnsafe[J](String)→JParser.parseFromString[J](String)→Try[J]Parser.parsefromPath[J](String)→Try[J]Parser.parseFromFile[J](File)→Try[J]Parser.parseFromChannel[J](ReadableByteChannel)→Try[J]Parser.parseFromByteBuffer[J](ByteBuffer)→Try[J]
Jawn also supports asynchronous parsing, which allows users to feedthe parser with data as it is available. There are three modes:
SingleValue
waits to return a singleJ
value once parsing is done.UnwrapArray
if the top-level element is an array, return values as they become available. SetmultiValue
totrue
if you want to support multiple top level arrays.ValueStream
parse one-or-more json values separated by whitespace.
Here's an example:
importorg.typelevel.jawn.astimportorg.typelevel.jawn.AsyncParserimportorg.typelevel.jawn.ParseExceptionvalp= ast.JParser.async(mode=AsyncParser.UnwrapArray)defchunks:Stream[String]=???defsink(j: ast.JValue):Unit=???defloop(st:Stream[String]):Either[ParseException,Unit]= stmatch {case s#:: tail=> p.absorb(s)match {caseRight(js)=> js.foreach(sink) loop(tail)caseLeft(e)=>Left(e) }case _=> p.finish().right.map(_.foreach(sink)) }loop(chunks)
You can also callParser.async[J]
to use async parsing with anarbitrary data type (provided you also have an implicitFacade[J]
).
circe is supported via itscirce-parser
module.
argonaut is supported via itsargonaut-jawn
module.
Jawn supports building any JSON AST you need via type classes. Youbenefit from Jawn's fast parser while still using your favorite ScalaJSON library. This mechanism is also what allows Jawn to provide"support" for other libraries' ASTs.
To include Jawn's parser in your project, add the followingsnippet to yourbuild.sbt
file:
resolvers+=Resolver.sonatypeRepo("releases")libraryDependencies+="org.typelevel"%%"jawn-parser"%"1.3.2"
To support your AST of choice, you'll want to define aFacade[J]
instance, where theJ
type parameter represents the base of your JSONAST. For example, here's a facade that supports Spray:
importspray.json._objectSprayextendsSimpleFacade[JsValue] {defjnull()=JsNulldefjfalse()=JsFalsedefjtrue()=JsTruedefjnum(s:String)=JsNumber(s)defjint(s:String)=JsNumber(s)defjstring(s:String)=JsString(s)defjarray(vs:List[JsValue])=JsArray(vs)defjobject(vs:Map[String,JsValue])=JsObject(vs)}
Most ASTs will be easy to define using theSimpleFacade
orMutableFacade
traits. However, if an ASTs object or array instancesdo more than just wrap a Scala collection, it may be necessary toextendFacade
directly.
ExtendSupportParser[J]
, supplying your facade as the abstractfacade
, to get convenient methods for parsing various input types oranAsyncParser
.
For accessing atomic values,JValue
supports two sets ofmethods:get-style methods andas-style methods.
Theget-style methods returnSome(_)
when called on a compatibleJSON value (e.g. strings can returnSome[String]
, numbers can returnSome[Double]
, etc.), andNone
otherwise:
getBoolean→Option[Boolean]getString→Option[String]getLong→Option[Long]getDouble→Option[Double]getBigInt→Option[BigInt]getBigDecimal→Option[BigDecimal]
In constrast, theas-style methods will either return an unwrappedvalue (instead of returningSome(_)
) or throw an exception (insteadof returningNone
):
asBoolean→Boolean// or exceptionasString→String// or exceptionasLong→Long// or exceptionasDouble→Double// or exceptionasBigInt→BigInt// or exceptionasBigDecimal→BigDecimal// or exception
To access elements of an array, callget
with anInt
position:
get(i:Int)→JValue// returns JNull if index is illegal
To access elements of an object, callget
with aString
key:
get(k:String)→JValue// returns JNull if key is not found
Both of these methods also returnJNull
if the value is not theappropraite container. This allows the caller to chain lookups withouthaving to check that each level is correct:
valv:JValue=???// returns JNull if a problem is encountered in structure of 'v'.valt:JValue= v.get("novels").get(0).get("title")// if 'v' had the right structure and 't' is JString(s), then Some(s).// otherwise, None.valtitleOrNone:Option[String]= t.getString// equivalent to titleOrNone.getOrElse(throw ...)valtitleOrDie:String= t.asString
The atomic values (JNum
,JBoolean
,JNum
, andJString
) areimmutable.
Objects are fully-mutable and can have items added, removed, orchanged:
set(k:String,v:JValue)→Unitremove(k:String)→Option[JValue]
Ifset
is called on a non-object, an exception will be thrown.Ifremove
is called on a non-object,None
will be returned.
Arrays are semi-mutable. Their values can be changed, but their sizeis fixed:
set(i:Int,v:JValue)→Unit
Ifset
is called on a non-array, or called with an illegal index, anexception will be thrown.
(A future version of Jawn may provide an array whose length can bechanged.)
Jawn usesJMHalong with thesbt-jmh plugin.
The benchmarks are located in thebenchmark
project. You can run thebenchmarks by typingbenchmark/jmh:run
from SBT. There are manysupported arguments, so here are a few examples:
Run all benchmarks, with 10 warmups, 10 iterations, using 3 threads:
benchmark/jmh:run -wi 10 -i 10 -f1 -t3
Run just theCountriesBench
test (5 warmups, 5 iterations, 1 thread):
benchmark/jmh:run -wi 5 -i 5 -f1 -t1 .*CountriesBench
Currently, the benchmarks are a bit fiddily. The most obvious symptomis that if you compile the benchmarks, make changes, and compileagain, you may see errors like:
[error] (benchmark/jmh:generateJavaSources) java.lang.NoClassDefFoundError: jawn/benchmark/Bla25Bench
The fix here is to runbenchmark/clean
and try again.
You will also see intermittent problems like:
[error] (benchmark/jmh:compile) java.lang.reflect.MalformedParameterizedTypeException
The solution here is easier (though frustrating): just try itagain. If you continue to have problems, consider cleaning the projectand trying again.
(In the future I hope to make the benchmarking here a bit moreresilient. Suggestions and pull requests gladly welcome!)
The benchmarks use files located inbenchmark/src/main/resources
. Ifyou want to test your own files (e.g.mydata.json
), you would:
- Copy the file to
benchmark/src/main/resources/mydata.json
. - Add the following code to
JmhBenchmarks.scala
:
classMyDataBenchextendsJmhBenchmarks("mydata.json")
Jawn has been tested with much larger files, e.g. 100M - 1G, but theseare obviously too large to ship with the project.
With large files, it's usually easier to comment out most of thebenchmarking methods and only test one (or a few) methods. Some of theslower JSON parsers getmuch slower for large files.
Remember that the benchmarking results you see will vary based on:
- Hardware
- Java version
- JSON file size
- JSON file structure
- JSON data values
I have tried to use each library in the most idiomatic and fastest waypossible (to parse the JSON into a simple AST). Pull requests toupdate library versions and improve usage are very welcome.
More support libraries could be added.
It's likely that some of Jawn's I/O could be optimized a bit more, andalso made more configurable. The heuristics around all-at-once loadingversus input chunking could definitely be improved.
In cases where the user doesn't need fast lookups into JSON objects,an even lighter AST could be used to improve parsing and renderingspeeds.
Strategies to cache/intern field names of objects could pay bigdividends in some cases (this might require AST changes).
If you have ideas for any of these (or other ideas) please feel freeto open an issue or pull request so we can talk about it.
Jawn only supports UTF-8 when parsing bytes. This might change in thefuture, but for now that's the target case. You can always decode yourdata to a string, and handle the character set decoding using Java'sstandard tools.
Jawn's AST is intended to be very lightweight and simple. It supportssimple access, and limited mutable updates. It intentionally lacks thepower and sophistication of many other JSON libraries.
People are expected to follow theScala Code of Conduct whendiscussing Jawn on GitHub or other venues.
Jawn's current maintainers are:
All code is available to you under the MIT license, available athttp://opensource.org/licenses/mit-license.php.
Copyright Erik Osheim, 2012-2022.
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Jawn is for parsing jay-sawn (JSON)