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https://issues.apache.org/jira/browse/MAPREDUCE-5063?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13612716#comment-13612716
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Harsh J commented on MAPREDUCE-5063:
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The need is not that highly common although it exists for certain problems. 
Given that the pluggability allows for users to achieve this, I'm not sure if 
it would be worth the trouble trying to maintain it upstream here as well. Look 
at the join package for instance: its serving as a good example but the point 
was also that folks would use it - but I don't see that happening frequently, 
as people are preferring to write their own equivalents since its not highly 
reusable in all scenarios.

The problem of a broadcast is simple: send it to all partitions, easy to define 
and perform on flagged keys. The problem of a multi-cast is not that simple: 
you want the behavior defined on a per key basis - flags get more specific. 
Besides, these needs only crop up for special MR optimization cases, for which 
a custom implementation should suffice.

Adding in APIs for special things is easy but we also have to consider 
long-time support for it and usefulness when adding it upstream. If it can be 
provided by a third party repository, then thats better and more flexible. We 
can also recommend it to anyone who comes along with such a question.


                
> Transfering mapper output  (key,value) pair to multiple reducer 
> ----------------------------------------------------------------
>
>                 Key: MAPREDUCE-5063
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5063
>             Project: Hadoop Map/Reduce
>          Issue Type: Wish
>    Affects Versions: 1.0.3
>            Reporter: Vikas Jadhav
>            Priority: Minor
>
> Currently  in  Hadoop MapReduce mapper output in (key,value) form can be 
> transfered to only one reducer 
> Our goal is to be able transfer/shuffle (key,value) pair to multiple reducer
> Note:- we need to shuffle same pair to number of reducers

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