xinrong-meng commented on code in PR #39835:
URL: https://github.com/apache/spark/pull/39835#discussion_r1092801467
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python/pyspark/sql/connect/types.py:
##########
@@ -108,6 +109,17 @@ def pyspark_types_to_proto_types(data_type: DataType) ->
pb2.DataType:
elif isinstance(data_type, ArrayType):
ret.array.element_type.CopyFrom(pyspark_types_to_proto_types(data_type.elementType))
ret.array.contains_null = data_type.containsNull
+ elif isinstance(data_type, UserDefinedType):
+ json_value = data_type.jsonValue()
+ ret.udt.type = "udt"
+ if "class" in json_value:
+ # Scala/Java UDT
+ ret.udt.jvm_class = json_value["class"]
+ else:
+ # Python UDT
+ ret.udt.serialized_python_class = json_value["serializedClass"]
+ ret.udt.python_class = json_value["pyClass"]
Review Comment:
Out of curiosity, why should a Scala/Java UDT have "pyClass"?
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