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Posted to dev@mrql.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/02/06 18:43:39 UTC

[jira] [Commented] (MRQL-81) Fix the coercion of persistent collections to in-memory bags

    [ https://issues.apache.org/jira/browse/MRQL-81?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15135899#comment-15135899 ] 

ASF GitHub Bot commented on MRQL-81:
------------------------------------

GitHub user fegaras opened a pull request:

    https://github.com/apache/incubator-mrql/pull/13

    [MRQL-81] Fix the coercion of persistent collections to in-memory bags

    

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/fegaras/incubator-mrql MRQL-81

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/incubator-mrql/pull/13.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #13
    
----
commit aceab31597bd33d7d22c457a053084976b39ac91
Author: fegaras <fe...@cse.uta.edu>
Date:   2016-02-06T17:38:28Z

    [MRQL-81] Fix the coercion of persistent collections to in-memory bags

----


> Fix the coercion of persistent collections to in-memory bags 
> -------------------------------------------------------------
>
>                 Key: MRQL-81
>                 URL: https://issues.apache.org/jira/browse/MRQL-81
>             Project: MRQL
>          Issue Type: Bug
>          Components: Run-Time/Flink, Run-Time/MapReduce, Run-Time/Spark
>    Affects Versions: 0.9.6
>            Reporter: Leonidas Fegaras
>            Assignee: Leonidas Fegaras
>            Priority: Critical
>
> Currently, query results that are persistent bags (such as Spark RDDs or Flink DataSets) are coerced to in-memory bags before they are printed. This needs to be done at any place in the query result. This came out when we used matrix factorization (query/factorization.mrql) because its output are the two matrix factors (datasets) in a tuple. It was reported by Ahmed Ulde. It will be fixed by adding a new case for tuple projection in the query evaluator that coerces persistent datasets to bags when they appear in the query output.



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