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https://issues.apache.org/jira/browse/MAPREDUCE-4495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13427817#comment-13427817
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Santhosh Srinivasan commented on MAPREDUCE-4495:
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[~eric14]

bq Look at the OpenMPI work... They are proposing to add their AM to MPI.
By that logic since this pertains to MapReduce, it should be part of MapReduce 
as Tom White indicates 

[~chrismattmann]

I don't see how this jira is any different from MAPREDUCE-4393 (PaaS on YARN: 
an YARN application to demonstrate that YARN can be used as a PaaS) which 
received a +1 from [~acmurthy] with clear directions to make it a peer of 
distributed shell 
(https://issues.apache.org/jira/browse/MAPREDUCE-4393?focusedCommentId=13406813&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-13406813)

I rest my case.
                
> 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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