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Posted to issues@spark.apache.org by "Yicong Huang (Jira)" <ji...@apache.org> on 2026/03/24 23:13:00 UTC

[jira] [Updated] (SPARK-56123) Refactor SQL_GROUPED_AGG_ARROW_UDF and SQL_GROUPED_AGG_ARROW_ITER_UDF

     [ https://issues.apache.org/jira/browse/SPARK-56123?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yicong Huang updated SPARK-56123:
---------------------------------
    Summary: Refactor SQL_GROUPED_AGG_ARROW_UDF and SQL_GROUPED_AGG_ARROW_ITER_UDF  (was: Refactor SQL_GROUPED_AGG_ARROW_UDF and SQL_GROUPED_AGG_ARROW_ITER_UDF to use ArrowStreamSerializer)

> Refactor SQL_GROUPED_AGG_ARROW_UDF and SQL_GROUPED_AGG_ARROW_ITER_UDF
> ---------------------------------------------------------------------
>
>                 Key: SPARK-56123
>                 URL: https://issues.apache.org/jira/browse/SPARK-56123
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 4.2.0
>            Reporter: Yicong Huang
>            Priority: Major
>
> Refactor SQL_GROUPED_AGG_ARROW_UDF and SQL_GROUPED_AGG_ARROW_ITER_UDF to use ArrowStreamSerializer as pure I/O, moving aggregation logic from ArrowStreamAggArrowUDFSerializer into worker.py read_udfs().



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