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Commitc5d7413

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add treeString support for printSchema
1 parent386dd26 commitc5d7413

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2 files changed

+139
-0
lines changed

2 files changed

+139
-0
lines changed

‎duckdb/experimental/spark/sql/types.py‎

Lines changed: 66 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -894,6 +894,72 @@ def fieldNames(self) -> list[str]:
894894
"""
895895
returnlist(self.names)
896896

897+
deftreeString(self,level:Optional[int]=None)->str:
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"""Returns a string representation of the schema in tree format.
899+
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Parameters
901+
----------
902+
level : int, optional
903+
Maximum depth to print. If None, prints all levels.
904+
905+
Returns:
906+
-------
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str
908+
Tree-formatted schema string
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910+
Examples:
911+
--------
912+
>>> schema = StructType([StructField("age", IntegerType(), True)])
913+
>>> print(schema.treeString())
914+
root
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|-- age: integer (nullable = true)
916+
"""
917+
def_tree_string(schema:"StructType",depth:int=0,max_depth:Optional[int]=None)->list[str]:
918+
"""Recursively build tree string lines."""
919+
lines= []
920+
ifdepth==0:
921+
lines.append("root")
922+
923+
ifmax_depthisnotNoneanddepth>=max_depth:
924+
returnlines
925+
926+
forfieldinschema.fields:
927+
indent=" "*depth
928+
prefix=" |-- "
929+
nullable_str="true"iffield.nullableelse"false"
930+
931+
# Handle nested StructType
932+
ifisinstance(field.dataType,StructType):
933+
lines.append(f"{indent}{prefix}{field.name}: struct (nullable ={nullable_str})")
934+
# Recursively handle nested struct - don't skip any lines, root only appears at depth 0
935+
nested_lines=_tree_string(field.dataType,depth+1,max_depth)
936+
lines.extend(nested_lines)
937+
# Handle ArrayType
938+
elifisinstance(field.dataType,ArrayType):
939+
element_type=field.dataType.elementType
940+
ifisinstance(element_type,StructType):
941+
lines.append(f"{indent}{prefix}{field.name}: array (nullable ={nullable_str})")
942+
lines.append(f"{indent} | |-- element: struct (containsNull ={field.dataType.containsNull})")
943+
nested_lines=_tree_string(element_type,depth+2,max_depth)
944+
lines.extend(nested_lines)
945+
else:
946+
type_str=element_type.simpleString()
947+
lines.append(f"{indent}{prefix}{field.name}: array<{type_str}> (nullable ={nullable_str})")
948+
# Handle MapType
949+
elifisinstance(field.dataType,MapType):
950+
key_type=field.dataType.keyType.simpleString()
951+
value_type=field.dataType.valueType.simpleString()
952+
lines.append(f"{indent}{prefix}{field.name}: map<{key_type},{value_type}> (nullable ={nullable_str})")
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# Handle simple types
954+
else:
955+
type_str=field.dataType.simpleString()
956+
lines.append(f"{indent}{prefix}{field.name}:{type_str} (nullable ={nullable_str})")
957+
958+
returnlines
959+
960+
lines=_tree_string(self,0,level)
961+
return"\n".join(lines)
962+
897963
defneedConversion(self)->bool:# noqa: D102
898964
# We need convert Row()/namedtuple into tuple()
899965
returnTrue

‎tests/fast/spark/test_spark_dataframe.py‎

Lines changed: 73 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -508,3 +508,76 @@ def test_printSchema_negative_level(self, spark):
508508

509509
withpytest.raises(PySparkValueError):
510510
df.printSchema(level=-1)
511+
512+
deftest_treeString_basic(self,spark):
513+
data= [("Alice",25,5000)]
514+
df=spark.createDataFrame(data, ["name","age","salary"])
515+
tree=df.schema.treeString()
516+
517+
asserttree.startswith("root\n")
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assert" |-- name:"intree
519+
assert" |-- age:"intree
520+
assert" |-- salary:"intree
521+
assert"(nullable = true)"intree
522+
asserttree.count(" |-- ")==3
523+
524+
deftest_treeString_nested_struct(self,spark):
525+
fromspark_namespace.sql.typesimportIntegerType,StringType,StructField,StructType
526+
527+
schema=StructType([
528+
StructField("id",IntegerType(),True),
529+
StructField("person",StructType([
530+
StructField("name",StringType(),True),
531+
StructField("age",IntegerType(),True)
532+
]),True)
533+
])
534+
data= [(1, {"name":"Alice","age":25})]
535+
df=spark.createDataFrame(data,schema)
536+
tree=df.schema.treeString()
537+
538+
assert"root\n"intree
539+
assert" |-- id:"intree
540+
assert" |-- person: struct (nullable = true)"intree
541+
assert"name:"intree
542+
assert"age:"intree
543+
544+
deftest_treeString_with_level(self,spark):
545+
fromspark_namespace.sql.typesimportIntegerType,StringType,StructField,StructType
546+
547+
schema=StructType([
548+
StructField("id",IntegerType(),True),
549+
StructField("person",StructType([
550+
StructField("name",StringType(),True),
551+
StructField("details",StructType([
552+
StructField("address",StringType(),True)
553+
]),True)
554+
]),True)
555+
])
556+
557+
data= [(1, {"name":"Alice","details": {"address":"123 Main St"}})]
558+
df=spark.createDataFrame(data,schema)
559+
560+
# Level 1 should only show top-level fields
561+
tree_level_1=df.schema.treeString(level=1)
562+
assert" |-- id:"intree_level_1
563+
assert" |-- person: struct"intree_level_1
564+
# Should not show nested field names at level 1
565+
lines=tree_level_1.split('\n')
566+
assertlen([lforlinlinesifl.strip()])<=3
567+
568+
deftest_treeString_array_type(self,spark):
569+
fromspark_namespace.sql.typesimportArrayType,StringType,StructField,StructType
570+
571+
schema=StructType([
572+
StructField("name",StringType(),True),
573+
StructField("hobbies",ArrayType(StringType()),True)
574+
])
575+
576+
data= [("Alice", ["reading","coding"])]
577+
df=spark.createDataFrame(data,schema)
578+
tree=df.schema.treeString()
579+
580+
assert"root\n"intree
581+
assert" |-- name:"intree
582+
assert" |-- hobbies: array<"intree
583+
assert"(nullable = true)"intree

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