ueshin commented on a change in pull request #24177: [SPARK-27240][PYTHON] Use
pandas DataFrame for struct type argument in Scalar Pandas UDF.
URL: https://github.com/apache/spark/pull/24177#discussion_r268486150
##########
File path: python/pyspark/serializers.py
##########
@@ -378,6 +379,29 @@ class
ArrowStreamPandasUDFSerializer(ArrowStreamPandasSerializer):
Serializer used by Python worker to evaluate Pandas UDFs
"""
+ def __init__(self, timezone, safecheck, assign_cols_by_name,
df_for_struct=False):
+ super(ArrowStreamPandasUDFSerializer, self) \
+ .__init__(timezone, safecheck, assign_cols_by_name)
+ self._df_for_struct = df_for_struct
+
+ def arrow_to_pandas(self, arrow_column, data_type):
+ from pyspark.sql.types import StructType, \
+ _arrow_column_to_pandas, _check_dataframe_localize_timestamps
+
+ if self._df_for_struct and type(data_type) == StructType:
Review comment:
I don't think so. We can't construct pandas DataFrame with a nested
DataFrame.
I might miss what you mean?
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