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https://issues.apache.org/jira/browse/SPARK-45929?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-45929.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43813
[https://github.com/apache/spark/pull/43813]
> support grouping set operation in dataframe api
> -----------------------------------------------
>
> Key: SPARK-45929
> URL: https://issues.apache.org/jira/browse/SPARK-45929
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.4.1
> Reporter: JacobZheng
> Assignee: JacobZheng
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> I am using spark dataframe api for complex calculations. When I need to use
> the grouping sets function, I can only convert the expression to sql via
> analyzedPlan and then splice these sql into a complex sql to execute. In some
> cases, this operation generates an extremely complex sql. executing this
> complex sql, antlr4 continues to consume a large amount of memory, similar to
> a memory leak scenario. If you can and rollup, cube function through the
> dataframe api to calculate these operations will be much simpler.
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