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Date: Sun, 14 Apr 2013 20:56:15 +0000 (UTC)
From: "Hitesh Shah (JIRA)" <jira@apache.org>
To: yarn-dev@hadoop.apache.org
Message-ID: <JIRA.12601284.1343949736461.165208.1365972975609@arcas>
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Subject: [jira] [Resolved] (YARN-55) YARN needs to properly check the NM,AM
 memory properties in yarn-site.xml and mapred.xml and report errors
 accordingly.
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     [ https://issues.apache.org/jira/browse/YARN-55?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hitesh Shah resolved YARN-55.
-----------------------------

    Resolution: Invalid

Closing this as invalid. 

If an AM requests more memory than the configured maximum memory for the RM Scheduler, RM will throw an error. 

If there are no live nodes capable of handling the memory asked for, that should be looked at in YARN-56.
                
> YARN needs to properly check the NM,AM memory properties in yarn-site.xml and mapred.xml and report errors accordingly.
> -----------------------------------------------------------------------------------------------------------------------
>
>                 Key: YARN-55
>                 URL: https://issues.apache.org/jira/browse/YARN-55
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: resourcemanager
>    Affects Versions: 2.0.2-alpha, 0.23.3
>         Environment: CentOs6.0, Hadoop2.0.0 Alpha
>            Reporter: Anil Gupta
>              Labels: Map, Reduce, YARN
>
> Please refer to this discussion on the Hadoop Mailing list:
> http://comments.gmane.org/gmane.comp.jakarta.lucene.hadoop.user/33110
> Summary:
> I was running YARN(Hadoop2.0.0 Alpha) on a 8 datanode, 4 admin node Hadoop/HBase cluster. My datanodes were only having 3.2GB of memory. So, i configured the yarn.nodemanager.resource.memory-mb property in yarn-site.xml to 1200. After setting the property if i run any Yarn Job then the NodemManager wont be able to start any Map task since by default the yarn.app.mapreduce.am.resource.mb property is set to 1500 MB in mapred-site.xml. 
> Expected Behavior: NodeManager should give an error if yarn.app.mapreduce.am.resource.mb >= yarn.nodemanager.resource.memory-mb.
> Please let me know if more information is required.

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