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https://issues.apache.org/jira/browse/SPARK-58130?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng resolved SPARK-58130.
-----------------------------------
Fix Version/s: 4.3.0
Resolution: Fixed
Issue resolved by pull request 57273
[https://github.com/apache/spark/pull/57273]
> Refactor legacy SQL_ARROW_TABLE_UDF pandas path and remove
> ArrowStreamPandasUDTFSerializer
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-58130
> URL: https://issues.apache.org/jira/browse/SPARK-58130
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.3.0
> Reporter: Yicong Huang
> Assignee: Yicong Huang
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.3.0
>
>
> Following SPARK-57394 which refactored the non-legacy SQL_ARROW_TABLE_UDF
> path onto ArrowStreamSerializer, move the legacy pandas conversion logic out
> of ArrowStreamPandasUDTFSerializer and into the read_udtf wrapper in
> worker.py, so the legacy path also uses a plain ArrowStreamSerializer for
> I/O. The legacy branch is rewritten flat to mirror the non-legacy path's
> structure (verify_result / check_return_value / evaluate_rows / func). Once
> the serializer has no remaining callers, it is removed. Behavior is
> unchanged: the
> spark.sql.legacy.execution.pythonUDTF.pandas.conversion.enabled flag and all
> legacy tests are retained.
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