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https://issues.apache.org/jira/browse/FLINK-2283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14900523#comment-14900523
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ASF GitHub Bot commented on FLINK-2283:
---------------------------------------

Github user gyfora commented on the pull request:

    https://github.com/apache/flink/pull/1155#issuecomment-141945790
  
    I still think that we should use PartitionedOperatorStates here, that will 
also help in case we start thinking about dynamic repartitioning. It's not hard 
to modify the tests so that they use some partitioning info (so if it unit 
testable with local state it is unit testable with partitioned state).


> Make grouped reduce/fold/aggregations stateful using Partitioned state
> ----------------------------------------------------------------------
>
>                 Key: FLINK-2283
>                 URL: https://issues.apache.org/jira/browse/FLINK-2283
>             Project: Flink
>          Issue Type: Improvement
>          Components: Streaming
>    Affects Versions: 0.10
>            Reporter: Gyula Fora
>            Assignee: Márton Balassi
>            Priority: Minor
>
> Currently the inner state of the grouped aggregations are not persisted as an 
> operator state. 
> These operators should be reimplemented to use the newly introduced 
> partitioned state abstractions which will make them fault tolerant and 
> scalable for the future.
> A suggested implementation would be to use a stateful mapper to implement the 
> desired behaviour.



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