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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-3179) Combiner is not injected if Reduce or GroupReduce input is explicitly partitioned
Date Tue, 22 Mar 2016 09:34:25 GMT

    [ https://issues.apache.org/jira/browse/FLINK-3179?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15206064#comment-15206064
] 

ASF GitHub Bot commented on FLINK-3179:
---------------------------------------

Github user fhueske commented on the pull request:

    https://github.com/apache/flink/pull/1822#issuecomment-199717124
  
    Merging


> Combiner is not injected if Reduce or GroupReduce input is explicitly partitioned
> ---------------------------------------------------------------------------------
>
>                 Key: FLINK-3179
>                 URL: https://issues.apache.org/jira/browse/FLINK-3179
>             Project: Flink
>          Issue Type: Bug
>          Components: Optimizer
>    Affects Versions: 0.10.1
>            Reporter: Fabian Hueske
>            Assignee: ramkrishna.s.vasudevan
>            Priority: Critical
>             Fix For: 1.0.0, 0.10.2
>
>
> The optimizer does not inject a combiner if the input of a Reducer or GroupReducer is
explicitly partitioned as in the following example
> {code}
> DataSet<Tuple2<String,Integer>> words = ...
> DataSet<Tuple2<String,Integer>> counts = words
>   .partitionByHash(0)
>   .groupBy(0)
>   .sum(1);
> {code}
> Explicit partitioning can be useful to enforce partitioning on a subset of keys or to
use a different partitioning method (custom or range partitioning).
> This issue should be fixed by changing the {{instantiate()}} methods of the {{ReduceProperties}}
and {{GroupReduceWithCombineProperties}} classes such that a combine is injected in front
of a {{PartitionPlanNode}} if it is the input of a Reduce or GroupReduce operator. This should
only happen, if the Reducer is the only successor of the Partition operator.



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