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https://issues.apache.org/jira/browse/SPARK-8317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-8317.
-------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.0

Issue resolved by pull request 6772
[https://github.com/apache/spark/pull/6772]

> Do not push sort into shuffle in Exchange operator
> --------------------------------------------------
>
>                 Key: SPARK-8317
>                 URL: https://issues.apache.org/jira/browse/SPARK-8317
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Josh Rosen
>            Assignee: Josh Rosen
>             Fix For: 1.5.0
>
>
> In some cases, Spark SQL pushes sorting operations into the shuffle layer by 
> specifying a key ordering as part of the shuffle dependency. I think that we 
> should not do this:
> - Since we do not delegate aggregation to Spark's shuffle, specifying the 
> keyOrdering as part of the shuffle has no effect on the shuffle map side.
> - By performing the shuffle ourselves (by inserting a sort operator after the 
> shuffle instead), we can use the Exchange planner to choose specialized 
> sorting implementations based on the types of rows being sorted.
> - We can remove some complexity from SqlSerializer2 by not requiring it to 
> know about sort orderings, since SQL's own sort operators will already 
> perform the necessary defensive copying.



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