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https://issues.apache.org/jira/browse/SPARK-7320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14553431#comment-14553431
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Apache Spark commented on SPARK-7320:
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User 'chenghao-intel' has created a pull request for this issue:
https://github.com/apache/spark/pull/6304
> Add rollup and cube support to DataFrame DSL
> --------------------------------------------
>
> Key: SPARK-7320
> URL: https://issues.apache.org/jira/browse/SPARK-7320
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
> Assignee: Cheng Hao
> Labels: starter
>
> We should add two functions to GroupedData in order to support rollup and
> cube for the DataFrame DSL.
> {code}
> def rollup(): GroupedData
> def cube(): GroupedData
> {code}
> These two should return new GroupedData with the appropriate state set so
> when we run an Aggregate, we translate the underlying logical operator into
> Rollup or Cube.
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