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Date: Thu, 7 Jun 2012 20:54:23 +0000 (UTC)
From: "Karthik Kambatla (JIRA)" <jira@apache.org>
To: mapreduce-issues@hadoop.apache.org
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Subject: [jira] [Updated] (MAPREDUCE-4311) Capacity scheduler.xml does not
 accept decimal values for capacity and maximum-capacity settings
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     [ https://issues.apache.org/jira/browse/MAPREDUCE-4311?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Karthik Kambatla updated MAPREDUCE-4311:
----------------------------------------

    Attachment: MAPREDUCE-4311.patch
    
> Capacity scheduler.xml does not accept decimal values for capacity and maximum-capacity settings
> ------------------------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-4311
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4311
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: contrib/capacity-sched, mrv2
>    Affects Versions: 0.23.3
>            Reporter: Thomas Graves
>            Assignee: Karthik Kambatla
>         Attachments: MAPREDUCE-4311.patch
>
>
> if capacity scheduler capacity or max capacity set with decimal it errors:
> - Error starting ResourceManager
> java.lang.NumberFormatException: For input string: "10.5"
>         at
> java.lang.NumberFormatException.forInputString(NumberFormatException.java:48)
>         at java.lang.Integer.parseInt(Integer.java:458)
>         at java.lang.Integer.parseInt(Integer.java:499)
>         at org.apache.hadoop.conf.Configuration.getInt(Configuration.java:713)
>         at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacitySchedulerConfiguration.getCapacity(CapacitySchedulerConfiguration.java:147)
>         at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue.<init>(LeafQueue.java:147)
>         at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler.parseQueue(CapacityScheduler.java:297)
>         at
> 0.20 used to take decimal and this could be an issue on large clusters that would have queues with small allocations.

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