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From "Arun C Murthy (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-3490) RMContainerAllocator counts failed maps towards Reduce ramp up
Date Thu, 22 Dec 2011 19:43:30 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-3490?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13175002#comment-13175002
] 

Arun C Murthy commented on MAPREDUCE-3490:
------------------------------------------

Sharad, eventually I think we need to stop tracking this in RMContainerAllocator and rather
rely on Job. For now, my patch seems the closest approximation to that (being conservative).
Does that make sense? I'll file a separate jira to stop tracking these in RMContainerAllocator.
                
> RMContainerAllocator counts failed maps towards Reduce ramp up
> --------------------------------------------------------------
>
>                 Key: MAPREDUCE-3490
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3490
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: mr-am, mrv2
>    Affects Versions: 0.23.0
>            Reporter: Siddharth Seth
>            Assignee: Arun C Murthy
>            Priority: Blocker
>         Attachments: MAPREDUCE-3490.patch, MAPREDUCE-3490.patch, MAPREDUCE-3490.patch,
MAPREDUCE-3490.patch, MR-3490-alternate.patch
>
>
> The RMContainerAllocator does not differentiate between failed and successful maps while
calculating whether reduce tasks are ready to launch. Failed tasks are also counted towards
total completed tasks. 
> Example. 4 failed maps, 10 total maps. Map%complete = 4/14 * 100 instead of being 0.

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