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Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2026/02/13 00:38:00 UTC

[jira] [Updated] (SPARK-55506) Pass explicit input_type (Spark schema) to CogroupPandasUDFSerializer

     [ https://issues.apache.org/jira/browse/SPARK-55506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated SPARK-55506:
-----------------------------------
    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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