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Posted to yarn-issues@hadoop.apache.org by "Brahma Reddy Battula (JIRA)" <ji...@apache.org> on 2016/02/08 06:03:39 UTC

[jira] [Moved] (YARN-4678) Cluster used capacity is > 100 when container reserved

     [ https://issues.apache.org/jira/browse/YARN-4678?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Brahma Reddy Battula moved MAPREDUCE-6629 to YARN-4678:
-------------------------------------------------------

        Key: YARN-4678  (was: MAPREDUCE-6629)
    Project: Hadoop YARN  (was: Hadoop Map/Reduce)

> Cluster used capacity is > 100 when container reserved 
> -------------------------------------------------------
>
>                 Key: YARN-4678
>                 URL: https://issues.apache.org/jira/browse/YARN-4678
>             Project: Hadoop YARN
>          Issue Type: Bug
>            Reporter: Brahma Reddy Battula
>            Assignee: Brahma Reddy Battula
>
>  *Scenario:* 
> * Start cluster with Three NM's each having 8GB (cluster memory:24GB).
> * Configure queues with elasticity and userlimitfactor=10.
> * disable pre-emption.
> * run two job with different priority in different queue at the same time
> ** yarn jar hadoop-mapreduce-examples-2.7.2.jar pi -Dyarn.app.priority=LOW -Dmapreduce.job.queuename=QueueA -Dmapreduce.map.memory.mb=4096 -Dyarn.app.mapreduce.am.resource.mb=1536 -Dmapreduce.job.reduce.slowstart.completedmaps=1.0 10 1000000000000
> ** yarn jar hadoop-mapreduce-examples-2.7.2.jar pi -Dyarn.app.priority=HIGH -Dmapreduce.job.queuename=QueueB -Dmapreduce.map.memory.mb=4096 -Dyarn.app.mapreduce.am.resource.mb=1536 3 1000000000000
> * observe the cluster capacity which was used in RM web UI



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