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https://issues.apache.org/jira/browse/SPARK-2568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14066553#comment-14066553
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Mark Hamstra commented on SPARK-2568:
-------------------------------------
Sure, if they can be cleanly separated -- but there's also interaction with the
ShuffleManager refactoring.
Do you have some strategy in mind for addressing just SPARK-2568 in isolation?
> RangePartitioner should go through the data only once
> -----------------------------------------------------
>
> Key: SPARK-2568
> URL: https://issues.apache.org/jira/browse/SPARK-2568
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.0.0
> Reporter: Reynold Xin
> Assignee: Xiangrui Meng
>
> As of Spark 1.0, RangePartitioner goes through data twice: once to compute
> the count and once to do sampling. As a result, to do sortByKey, Spark goes
> through data 3 times (once to count, once to sample, and once to sort).
> RangePartitioner should go through data only once (remove the count step).
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