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From "Richard Ding (JIRA)" <j...@apache.org>
Subject [jira] Assigned: (PIG-983) PERFORMANCE: multi-query optimization on multiple group bys following a join or cogroup
Date Mon, 05 Oct 2009 19:12:31 GMT

     [ https://issues.apache.org/jira/browse/PIG-983?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Richard Ding reassigned PIG-983:
--------------------------------

    Assignee: Richard Ding

> PERFORMANCE: multi-query optimization on multiple group bys following a join or cogroup
> ---------------------------------------------------------------------------------------
>
>                 Key: PIG-983
>                 URL: https://issues.apache.org/jira/browse/PIG-983
>             Project: Pig
>          Issue Type: Improvement
>          Components: impl
>            Reporter: Richard Ding
>            Assignee: Richard Ding
>
> The current multi-query optimizer works well with pig scripts like this one:
> {code}
> data = LOAD 'input' AS (a:chararray, b:int, c:int);
> A = GROUP data BY b;
> B = GROUP data BY c;
> C = FOREACH A GENERATE group, COUNT(data);
> D = FOREACH B GENERATE group, SUM(data.b);
> STORE C INTO 'output1';
> STORE D INTO 'output2';
> {code}
> In this case the original three Map-Reduce jobs are merged into one MR job by the optimizer.
> The current optimizer, however, won't reduce the number of MR jobs for the scripts in
which multiple group bys follow a join or a cogroup, such as this one:
> {code}
> data1 = LOAD 'input1' AS (a1:chararray, b1:int, c1:int);
> data2 = LOAD 'input2' AS (a2:chararray, b2:int, c2:int);
> A = JOIN data1 BY a1, data2 BY a2;
> B = GROUP A BY data1::b1;
> C = GROUP B BY data2::c2;
> D = FOREACH B GENERATE group, COUNT(A);
> E = FOREACH C GENERATE group, SUM(A.data2::b2);
> STORE D INTO 'output1';
> STORE E INTO 'output2';                        
> {code}
> Three MR jobs are still needed to run this script.
> Multi-query optimizer should work with this kind of scripts by merging the group bys
and reducing the overall MR jobs. 

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