[
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().
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
