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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 Mon, 26 Dec 2011 02:10:30 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-3490?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13175872#comment-13175872
] 

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

Sharad, sorry, I should have explained better.

The problem computing success/failed tasks in the RMContainerAllocator is that they only know
Container status (at best exit code) and not whether the task completed successfully or not.
Thus, we'd have to duplicate logic to compute tasks' status from container statuses there,
something I'd like to avoid. 

Thus, my proposal to rely on JobImpl (either via events or just a direct function call). Makes
sense? 

Thoughts?
                
> 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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