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https://issues.apache.org/jira/browse/SPARK-35346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17343208#comment-17343208
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Takeshi Yamamuro commented on SPARK-35346:
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Do you mean this feature? https://issues.apache.org/jira/browse/SPARK-33229
([https://github.com/apache/spark/blame/master/sql/core/src/test/resources/sql-tests/inputs/group-analytics.sql#L74-L81)]
If yes, we've already support in in the recent master.
> More clause needed for combining groupby and cube
> -------------------------------------------------
>
> Key: SPARK-35346
> URL: https://issues.apache.org/jira/browse/SPARK-35346
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.0.0, 3.0.2, 3.1.1
> Reporter: Kai
> Priority: Major
>
> As we all know, aggregation clause must follow after groupby, rollup or cube
> clause in pyspark. I think we should have more features in this part. Because
> in sql, we can write it like this "group by xxx, xxx, cube(xxx,xxx)". While
> in pyspark, if you just need cube for one field and group for the others,
> it's not gonna happen. Using cube for all fields brings much more cost for
> useless data. So I think we need to improve it. Thank you!
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