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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/01/27 17:34:39 UTC
[jira] [Commented] (FLINK-3179) Combiner is not injected if Reduce
or GroupReduce input is explicitly partitioned
[ https://issues.apache.org/jira/browse/FLINK-3179?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15119719#comment-15119719 ]
ASF GitHub Bot commented on FLINK-3179:
---------------------------------------
Github user ramkrish86 commented on the pull request:
https://github.com/apache/flink/pull/1553#issuecomment-175730064
Also ensured that the related test cases passes and also the Wordcount program output with and without partition remains the same.
> 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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