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https://issues.apache.org/jira/browse/FLINK-3336?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15132950#comment-15132950
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ASF GitHub Bot commented on FLINK-3336:
---------------------------------------

Github user uce commented on the pull request:

    https://github.com/apache/flink/pull/1589#issuecomment-180031529
  
    Changes look good (including the test). I'm OK with the current name. I 
understand why it is up for discussion but I can't come up with a better name 
at the moment. ;) 


> Add Semi-Rebalance Data Shipping for DataStream
> -----------------------------------------------
>
>                 Key: FLINK-3336
>                 URL: https://issues.apache.org/jira/browse/FLINK-3336
>             Project: Flink
>          Issue Type: Improvement
>          Components: Streaming
>            Reporter: Aljoscha Krettek
>            Assignee: Aljoscha Krettek
>             Fix For: 1.0.0
>
>
> This feature has recently been requested on the ML: 
> http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Distribution-of-sinks-among-the-nodes-td4640.html
> The new data shipping pattern would allow to rebalance data only to a subset 
> of downstream operations.
> The subset of downstream operations to which the upstream operation would send
> elements depends on the degree of parallelism of both the upstream and 
> downstream operation.
> For example, if the upstream operation has parallelism 2 and the downstream 
> operation
> has parallelism 4, then one upstream operation would distribute elements to 
> two
> downstream operations while the other upstream operation would distribute to 
> the other
> two downstream operations. If, on the other hand, the downstream operation 
> had parallelism
> 2 while the upstream operation has parallelism 4 then two upstream operations 
> would
> distribute to one downstream operation while the other two upstream 
> operations would
> distribute to the other downstream operations.
> In cases where the different parallelisms are not multiples of each other one 
> or several
> downstream operations would have a differing number of inputs from upstream 
> operations.



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