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From "Arun C Murthy (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-4495) Workflow Application Master in YARN
Date Fri, 03 Aug 2012 18:19:04 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-4495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13428272#comment-13428272
] 

Arun C Murthy commented on MAPREDUCE-4495:
------------------------------------------

{quote}
So, I see two options:
# Enhance JobControl api to work in AM by making MR-AM, specifially MRAppMaster thread-safe.
This will allow for multiple objects of MRAppMaster to be created. This means there are no
new interfaces to MapReduce.
# Go the full distance, make it generic, import code from oozie, come up with a new set of
interfaces for generic DAG mgmt infrastructure etc. etc. and do it in a separate Incubator
project.
{quote}

I think this is coming to a point where we are arguing too much in the abstract. Frankly,
this is really not how I want to spend my time.

Maybe we can wait for a detailed proposal from Bo or Alejandro and then revisit this discussion.
I believe I have laid my thoughts out clearly with respect to the options etc. Let's discuss
when we actually have something concrete (design or code).

OTOH, if we can agree on the Incubator proposal I'm happy to do the legwork for Alejandro
right-away. At least that is tractable and not merely abstract.
                
> 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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