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Posted to dev@pig.apache.org by "Pallavi Rao (JIRA)" <ji...@apache.org> on 2016/01/27 10:27:39 UTC

[jira] [Updated] (PIG-4709) Improve performance of GROUPBY operator on Spark

     [ https://issues.apache.org/jira/browse/PIG-4709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Pallavi Rao updated PIG-4709:
-----------------------------
    Attachment: PIG-4709-v3.patch

Addressed comments from [~kellyzly] and [~mohitsabharwal] 

> Improve performance of GROUPBY operator on Spark
> ------------------------------------------------
>
>                 Key: PIG-4709
>                 URL: https://issues.apache.org/jira/browse/PIG-4709
>             Project: Pig
>          Issue Type: Sub-task
>          Components: spark
>            Reporter: Pallavi Rao
>            Assignee: Pallavi Rao
>              Labels: spork
>             Fix For: spark-branch
>
>         Attachments: PIG-4709-v1.patch, PIG-4709-v2.patch, PIG-4709-v3.patch, PIG-4709.patch, TEST-org.apache.pig.test.TestCombiner.xml
>
>
> Currently, the GROUPBY operator of PIG is mapped by Spark's CoGroup. When the grouped data is consumed by subsequent operations to perform algebraic operations, this is sub-optimal as there is lot of shuffle traffic. 
> The Spark Plan must be optimized to use reduceBy, where possible, so that a combiner is used.



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