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Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/05/21 04:58:59 UTC

[jira] [Resolved] (SPARK-7320) Add rollup and cube support to DataFrame DSL

     [ https://issues.apache.org/jira/browse/SPARK-7320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yin Huai resolved SPARK-7320.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

Issue resolved by pull request 6304
[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
>             Fix For: 1.4.0
>
>
> 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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