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From "Dmitriy Selivanov (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-14365) Repartition by column
Date Fri, 06 May 2016 06:51:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-14365?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15273718#comment-15273718
] 

Dmitriy Selivanov commented on SPARK-14365:
-------------------------------------------

I will be able to check it on 2016-05-11.

> Repartition by column
> ---------------------
>
>                 Key: SPARK-14365
>                 URL: https://issues.apache.org/jira/browse/SPARK-14365
>             Project: Spark
>          Issue Type: Improvement
>          Components: SparkR
>            Reporter: Dmitriy Selivanov
>
> Starting from 1.6 it is possible to set partitioning for data frames. For example in
Scala we can do it in a following way:
> {code}
> val partitioned = df.repartition($"k")
> {code}
> Would be nice to have this functionality in SparkR.



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