[jira] [Assigned] (SPARK-22614) Expose range partitioning shuffle

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-22614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-22614:
------------------------------------

    Assignee: Apache Spark

> Expose range partitioning shuffle
> ---------------------------------
>
>                 Key: SPARK-22614
>                 URL: https://issues.apache.org/jira/browse/SPARK-22614
>             Project: Spark
>          Issue Type: Improvement
>          Components: Shuffle, SQL
>    Affects Versions: 2.3.0
>            Reporter: Adrian Ionescu
>            Assignee: Apache Spark
>
> Right now, the Dataset API only offers two possibilities for explicitly repartitioning a dataset:
> - round robin partitioning, via {{def repartition(numPartitions: Int): Dataset}}
> - hash partitioning, via {{def repartition(numPartitions: Int, partitionExprs: Column*)}}
> It would be useful to also expose range partitioning, which can, for example, improve compression when writing data out to disk, or potentially enable new use cases.



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