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https://issues.apache.org/jira/browse/SPARK-55506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-55506:
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Labels: pull-request-available (was: )
> Pass explicit input_type (Spark schema) to CogroupPandasUDFSerializer
> ---------------------------------------------------------------------
>
> Key: SPARK-55506
> URL: https://issues.apache.org/jira/browse/SPARK-55506
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Yicong Huang
> Priority: Major
> Labels: pull-request-available
>
> Currently CogroupPandasUDFSerializer is constructed without input_type in
> worker.py, so _input_type defaults to None. This means
> ArrowBatchTransformer.to_pandas cannot use the Spark schema for type-aware
> Arrow-to-Pandas conversion in cogroup UDFs.
> We should explicitly build and pass the Spark schema from worker.py,
> consistent with how other serializers (e.g. ArrowStreamPandasUDFSerializer,
> ApplyInPandasWithStateSerializer) receive their input_type.
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