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https://issues.apache.org/jira/browse/SPARK-56937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-56937:
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Labels: pull-request-available (was: )
> Raise error on wrong column count in Arrow grouped/cogrouped map UDF
> (positional mode)
> --------------------------------------------------------------------------------------
>
> Key: SPARK-56937
> URL: https://issues.apache.org/jira/browse/SPARK-56937
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Yicong Huang
> Priority: Major
> Labels: pull-request-available
>
> verify_arrow_result in python/pyspark/worker.py uses zip(expected, actual) in
> the positional branch (when
> spark.sql.legacy.execution.pandas.groupedMap.assignColumnsByName=false),
> which silently truncates to the shorter list when the user-defined function
> returns the wrong number of columns. Affected eval types:
> SQL_GROUPED_MAP_ARROW_UDF, SQL_GROUPED_MAP_ARROW_ITER_UDF,
> SQL_COGROUPED_MAP_ARROW_UDF. The name-based branch already raises
> RESULT_COLUMN_NAMES_MISMATCH on missing/extra columns; the positional branch
> should symmetrically raise RESULT_COLUMN_SCHEMA_MISMATCH on length mismatch.
> This has been latent since SPARK-40559 (Dec 2023).
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