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Posted to mapreduce-issues@hadoop.apache.org by "Mahadev konar (Updated) (JIRA)" <ji...@apache.org> on 2012/01/24 00:41:40 UTC

[jira] [Updated] (MAPREDUCE-3711) AppMaster recovery for Medium to large jobs take long time

     [ https://issues.apache.org/jira/browse/MAPREDUCE-3711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mahadev konar updated MAPREDUCE-3711:
-------------------------------------

    Summary: AppMaster recovery for Medium to large jobs take long time  (was: AppMaster resovery for Medium to large jobs take long time)
    
> 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: Bug
>          Components: mrv2
>    Affects Versions: 0.23.0
>            Reporter: Siddharth Seth
>            Priority: Critical
>
> 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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