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Posted to dev@mrunit.apache.org by "Brock Noland (Commented) (JIRA)" <ji...@apache.org> on 2012/03/14 17:00:41 UTC

[jira] [Commented] (MRUNIT-88) MRUnit should support custom partitioners, comparator, and groupComparator

    [ https://issues.apache.org/jira/browse/MRUNIT-88?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13229282#comment-13229282 ] 

Brock Noland commented on MRUNIT-88:
------------------------------------

You can test the comparator and grouping comparator today with MRUnit:

See KeyGrouping and KeyOrdering comparators:

http://incubator.apache.org/mrunit/apidocs/org/apache/hadoop/mrunit/MapReduceDriver.html

The partitioner cannot be tested today. Over in MRUNIT-69 Jim is working to provide a the ability test more things, but I am not sure we will get to the point of testing the Partitioner in the case of more than 1 reducer because Hadoop's local job runner only allows a single reducer.
                
> MRUnit should support custom partitioners, comparator, and groupComparator
> --------------------------------------------------------------------------
>
>                 Key: MRUNIT-88
>                 URL: https://issues.apache.org/jira/browse/MRUNIT-88
>             Project: MRUnit
>          Issue Type: Improvement
>            Reporter: Matthew Rathbone
>              Labels: partitioners
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> We're building something that essentially does a secondary sort, to test that we need to be able to specify comparators and partitioners.
> Example:
> the following two tuple keys: (id1, source1), (id1, source2)
> should be grouped together based on the first value of the tuple, and their records should end up in the same reducer
> To do this we have our own custom partitioner / comparator, this is what we need to test through the whole pipeline in this way:
> MapReduceDriver.setPartitioner(p)
> MapReduceDriver.setGroupComparator(c)
> I'm not familiar enough with the MRUnit code to add this easily, but I suspect it would be pretty quick to do.

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