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https://issues.apache.org/jira/browse/FLINK-8571?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16358212#comment-16358212
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ASF GitHub Bot commented on FLINK-8571:
---------------------------------------

GitHub user StefanRRichter opened a pull request:

    https://github.com/apache/flink/pull/5439

    [FLINK-8571] [DataStream] [Backport] Introduce utility function that 
reinterprets a data stream as keyed stream

    This PR is a backport of #5424 to Flink 1.4.

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

    $ git pull https://github.com/StefanRRichter/flink 
key-partitioned-source-1.4

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

    https://github.com/apache/flink/pull/5439.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 #5439
    
----
commit bd1c83f90234a03c4cab5ce98d705fa45daa34f5
Author: Stefan Richter <s.richter@...>
Date:   2018-02-09T10:30:37Z

    [FLINK-8571] [DataStream] Introduce utility function that reinterprets a 
data stream as keyed stream (backport from 1.5 branch)

----


> Provide an enhanced KeyedStream implementation to use ForwardPartitioner
> ------------------------------------------------------------------------
>
>                 Key: FLINK-8571
>                 URL: https://issues.apache.org/jira/browse/FLINK-8571
>             Project: Flink
>          Issue Type: Improvement
>            Reporter: Nagarjun Guraja
>            Assignee: Stefan Richter
>            Priority: Major
>
> This enhancement would help in modeling problems with pre partitioned input 
> sources(for e.g. Kafka with Keyed topics). This would help in making the job 
> graph embarrassingly parallel while leveraging rocksdb state backend and also 
> the fine grained recovery semantics.



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