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https://issues.apache.org/jira/browse/SPARK-56189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yicong Huang updated SPARK-56189:
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Description:
Move the processing logic for SQL_WINDOW_AGG_ARROW_UDF out of
ArrowStreamAggArrowUDFSerializer and into read_udfs() in worker.py, using
ArrowStreamSerializer as a pure I/O layer.
was:
Move the processing logic for SQL_WINDOW_AGG_ARROW_UDF out of
ArrowStreamAggArrowUDFSerializer and into read_udfs() in worker.py, using
ArrowStreamSerializer as a pure I/O layer.
This is part of the incremental serializer refactor (SPARK-55388), following
SPARK-56123 which refactored SQL_GROUPED_AGG_ARROW_UDF and
SQL_GROUPED_AGG_ARROW_ITER_UDF.
> Refactor SQL_WINDOW_AGG_ARROW_UDF to use ArrowStreamSerializer
> --------------------------------------------------------------
>
> Key: SPARK-56189
> URL: https://issues.apache.org/jira/browse/SPARK-56189
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark, SQL
> Affects Versions: 4.2.0
> Reporter: Yicong Huang
> Priority: Major
>
> Move the processing logic for SQL_WINDOW_AGG_ARROW_UDF out of
> ArrowStreamAggArrowUDFSerializer and into read_udfs() in worker.py, using
> ArrowStreamSerializer as a pure I/O layer.
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