[jira] [Updated] (SPARK-2978) Provide an MR-style shuffle transformation

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-2978?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin updated SPARK-2978:
-------------------------------
    Target Version/s: 1.2.0

> Provide an MR-style shuffle transformation
> ------------------------------------------
>
>                 Key: SPARK-2978
>                 URL: https://issues.apache.org/jira/browse/SPARK-2978
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>            Reporter: Sandy Ryza
>
> For Hive on Spark joins in particular, and for running legacy MR code in general, I think it would be useful to provide a transformation with the semantics of the Hadoop MR shuffle, i.e. one that
> * groups by key: provides (Key, Iterator[Value])
> * within each partition, provides keys in sorted order
> A couple ways that could make sense to expose this:
> * Add a new operator.  "groupAndSortByKey", "groupByKeyAndSortWithinPartition", "hadoopStyleShuffle", maybe?
> * Allow groupByKey to take an ordering param for keys within a partition



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