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https://issues.apache.org/jira/browse/MAPREDUCE-3711?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13199256#comment-13199256
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Vinod Kumar Vavilapalli commented on MAPREDUCE-3711:
----------------------------------------------------
Ah, I was wrong. Sure, let us make it "{{JobType == Reduce || (JobType == Map
&& numReducers <= 0)}}", it is better (for me at the least).
> AppMaster recovery for Medium to large jobs take long time
> ----------------------------------------------------------
>
> Key: MAPREDUCE-3711
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3711
> Project: Hadoop Map/Reduce
> Issue Type: Sub-task
> Components: mrv2
> Affects Versions: 0.23.0, 0.24.0
> Reporter: Siddharth Seth
> Assignee: Robert Joseph Evans
> Priority: Blocker
> Fix For: 0.23.1
>
> Attachments: MR-3711.txt, MR-3711.txt
>
>
> Reported by [~karams]
> yarn.resourcemanager.am.max-retries=2
> Ran test cases with sort job on 350 scale having 16800 maps and 680 reduces -:
> 1. After 70 secs of Job Sumbission Am is killed using kill -9, around 3900
> maps were completed and 680 reduces were
> scheduled, Second AM got restart. Job got completed in 980 secs. AM took very
> less time to recover.
> 2. After 150 secs of Job Sumbission AM is killed using kill -9, around 90%
> maps were completed and 680 reduces were
> scheduled , Second AM got restart Job got completed in 1000 secs. AM got
> revocer.
> 3. After 150 secs of Job Sumbission AM as killed using kill -9, almost all
> maps were completed and only 680 reduces
> were running, Recovery was too slow, AM was still revocering after 1hr :40
> mis when I killed the run.
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