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Posted to issues@spark.apache.org by "Yicong Huang (Jira)" <ji...@apache.org> on 2026/06/25 23:35:00 UTC

[jira] [Assigned] (SPARK-57676) Refactor SQL_GROUPED_AGG_PANDAS_ITER_UDF

     [ https://issues.apache.org/jira/browse/SPARK-57676?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yicong Huang reassigned SPARK-57676:
------------------------------------

    Assignee: Yicong Huang

> Refactor SQL_GROUPED_AGG_PANDAS_ITER_UDF
> ----------------------------------------
>
>                 Key: SPARK-57676
>                 URL: https://issues.apache.org/jira/browse/SPARK-57676
>             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
>
> Migrate SQL_GROUPED_AGG_PANDAS_ITER_UDF off ArrowStreamAggPandasUDFSerializer onto ArrowStreamGroupSerializer, with a dedicated worker.py function, mirroring the Arrow path done in SPARK-56123 for SQL_GROUPED_AGG_ARROW_ITER_UDF. This is the last consumer of ArrowStreamAggPandasUDFSerializer; removing it unblocks deleting the serializer. No behavior change; existing tests cover it, and an ASV benchmark comparison (GroupedAggPandasIterUDFTimeBench, added in SPARK-57645) confirms no regression.



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