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https://issues.apache.org/jira/browse/MAPREDUCE-4495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13427395#comment-13427395
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Arun C Murthy commented on MAPREDUCE-4495:
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Bobby, as I alluded in my Hadoop Summit 2012 talk, Pig/Hive don't have to be 
limited to MapReduce.

IAC, you are describing a *lot* of work which can be done - they aren't 
necessarily part of MapReduce. 

All that Chris, Eric & I are pointing out is that we don't have to do all that 
work in YARN or MapReduce. The ASF is rightly very concerned about umbrella 
projects - this leads to disparate, multiple communities in one 'virtual' 
community and leads to problems with governance etc. That is the point.

Alejandro - how about starting this in github if you are so worried about 
incubator? Frankly, I don't see incubator as a big deal though.
                
> Workflow Application Master in YARN
> -----------------------------------
>
>                 Key: MAPREDUCE-4495
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4495
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>    Affects Versions: 2.0.0-alpha
>            Reporter: Bo Wang
>            Assignee: Bo Wang
>
> It is useful to have a workflow application master, which will be capable of 
> running a DAG of jobs. The workflow client submits a DAG request to the AM 
> and then the AM will manage the life cycle of this application in terms of 
> requesting the needed resources from the RM, and starting, monitoring and 
> retrying the application's individual tasks.
> Compared to running Oozie with the current MapReduce Application Master, 
> these are some of the advantages:
>  - Less number of consumed resources, since only one application master will 
> be spawned for the whole workflow.
>  - Reuse of resources, since the same resources can be used by multiple 
> consecutive jobs in the workflow (no need to request/wait for resources for 
> every individual job from the central RM).
>  - More optimization opportunities in terms of collective resource requests.
>  - Optimization opportunities in terms of rewriting and composing jobs in the 
> workflow (e.g. pushing down Mappers).
>  - This Application Master can be reused/extended by higher systems like Pig 
> and hive to provide an optimized way of running their workflows.

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