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Posted to mapreduce-issues@hadoop.apache.org by "Andrew Ferguson (JIRA)" <ji...@apache.org> on 2012/08/02 01:52:04 UTC

[jira] [Commented] (MAPREDUCE-4327) Enhance CS to schedule accounting for both memory and cpu cores

    [ https://issues.apache.org/jira/browse/MAPREDUCE-4327?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13427015#comment-13427015 ] 

Andrew Ferguson commented on MAPREDUCE-4327:
--------------------------------------------

@acmurthy: you bet! I should have time this week to read this over.

also, I'm happy to port pieces of my ginormous patch over to this if you'd like -- while the majority of the patch I posted is test cases (which may or may not match the semantics of your DRF implementation due to decisions about edge cases), other pieces such as the FIFO support, the web GUI, and the metrics code might save you some time.

cheers,
Andrew
                
> Enhance CS to schedule accounting for both memory and cpu cores
> ---------------------------------------------------------------
>
>                 Key: MAPREDUCE-4327
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4327
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>          Components: mrv2, resourcemanager, scheduler
>    Affects Versions: 2.0.0-alpha
>            Reporter: Arun C Murthy
>            Assignee: Arun C Murthy
>         Attachments: MAPREDUCE-4327-v2.patch, MAPREDUCE-4327-v3.patch, MAPREDUCE-4327-v4.patch, MAPREDUCE-4327-v5.patch, MAPREDUCE-4327.patch, MAPREDUCE-4327.patch, MAPREDUCE-4327.patch
>
>
> With YARN being a general purpose system, it would be useful for several applications (MPI et al) to specify not just memory but also CPU (cores) for their resource requirements. Thus, it would be useful to the CapacityScheduler to account for both.

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