[jira] [Resolved] (SPARK-56477) Refactor SQL_GROUPED_MAP_PANDAS_UDF to be self-contained in read_udfs

["Ruifeng Zheng (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-56477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ruifeng Zheng resolved SPARK-56477.
-----------------------------------
    Fix Version/s: 4.2.0
       Resolution: Fixed

Issue resolved by pull request 55495
[https://github.com/apache/spark/pull/55495]

> Refactor SQL_GROUPED_MAP_PANDAS_UDF to be self-contained in read_udfs
> ---------------------------------------------------------------------
>
>                 Key: SPARK-56477
>                 URL: https://issues.apache.org/jira/browse/SPARK-56477
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 4.2.0
>            Reporter: Yicong Huang
>            Assignee: Yicong Huang
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.2.0
>
>
> As part of the PySpark eval type refactoring effort (SPARK-55388), the SQL_GROUPED_MAP_PANDAS_UDF processing logic should be made self-contained within read_udfs() in worker.py.
> Currently the logic is spread across the wrapper function wrap_grouped_map_pandas_udf(), the GroupPandasUDFSerializer, and the mapper block in read_udfs(). The refactoring should consolidate all UDF dispatch, verification, and conversion logic into an inline handler in read_udfs(), using a pure I/O serializer.



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