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From "Sharad Agarwal (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-3490) RMContainerAllocator counts failed maps towards Reduce ramp up
Date Fri, 23 Dec 2011 07:27:31 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-3490?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13175319#comment-13175319
] 

Sharad Agarwal commented on MAPREDUCE-3490:
-------------------------------------------

bq. 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).
Doing it in Job or in RMContainerAllocator is a separate discussion. I don't think this patch
deal with anything like that. It adds two new events for RMContainerAllocator itself. 
I am proposing that we don't need these extra events because this information (failed attempts
info) is already available 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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