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https://issues.apache.org/jira/browse/SPARK-25640?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-25640:
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Target Version/s: 3.0.0
> Clarify/Improve EvalType for grouped aggregate and window aggregate
> -------------------------------------------------------------------
>
> Key: SPARK-25640
> URL: https://issues.apache.org/jira/browse/SPARK-25640
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 2.4.0
> Reporter: Li Jin
> Priority: Major
>
> Currently, grouped aggregate and window aggregate uses different EvalType,
> however, they map to the same user facing type PandasUDFType.GROUPED_MAP.
> It makes sense to have one user facing type because it
> (PandasUDFType.GROUPED_MAP) can be used in both groupby and window operation.
> However, the mismatching between PandasUDFType and EvalType can be confusing
> to developers. We should clarify and/or improve this.
> See discussion at:
> https://github.com/apache/spark/pull/22620#discussion_r222452544
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