[jira] [Resolved] (SPARK-45929) support grouping set operation in dataframe api

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-45929?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-45929.
----------------------------------
    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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