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https://issues.apache.org/jira/browse/MAPREDUCE-3490?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vinod Kumar Vavilapalli updated MAPREDUCE-3490:
-----------------------------------------------
Resolution: Fixed
Fix Version/s: 0.23.1
Release Note: Fixed MapReduce AM to count failed maps also towards Reduce
ramp up.
Hadoop Flags: Reviewed
Status: Resolved (was: Patch Available)
I just committed this to trunk and branch-0.23. Thanks Sharad and Arun!
> 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: Sharad Agarwal
> Priority: Blocker
> Fix For: 0.23.1
>
> Attachments: MAPREDUCE-3490.patch, MAPREDUCE-3490.patch,
> MAPREDUCE-3490.patch, MAPREDUCE-3490.patch, MAPREDUCE-3490.patch,
> MAPREDUCE-3490.patch, MAPREDUCE-3490.patch, MR-3490-alternate.patch,
> MR-3490-alternate1.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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