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https://issues.apache.org/jira/browse/YARN-370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Arun C Murthy updated YARN-370:
-------------------------------

    Affects Version/s:     (was: 3.0.0)
    
> CapacityScheduler app submission fails when min alloc size not multiple of AM 
> size
> ----------------------------------------------------------------------------------
>
>                 Key: YARN-370
>                 URL: https://issues.apache.org/jira/browse/YARN-370
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: capacityscheduler
>    Affects Versions: 2.0.3-alpha
>            Reporter: Thomas Graves
>            Priority: Blocker
>
> I was running 2.0.3-SNAPSHOT with the capacity scheduler configured with 
> minimum allocation size 1G. The AM size was set to 1.5G. I didn't specify 
> resource calculator so it was using DefaultResourceCalculator.  The am launch 
> failed with the error below:
> Application application_1359688216672_0001 failed 1 times due to Error 
> launching appattempt_1359688216672_0001_000001. Got exception: RemoteTrace: 
> at LocalTrace: 
> org.apache.hadoop.yarn.exceptions.impl.pb.YarnRemoteExceptionPBImpl: 
> RemoteTrace: at LocalTrace: 
> org.apache.hadoop.yarn.exceptions.impl.pb.YarnRemoteExceptionPBImpl: 
> Unauthorized request to start container. Expected resource <memory:2048, 
> vCores:1> but found <memory:1536, vCores:1> at 
> org.apache.hadoop.yarn.factories.impl.pb.YarnRemoteExceptionFactoryPBImpl.createYarnRemoteException(YarnRemoteExceptionFactoryPBImpl.java:39)
>  at org.apache.hadoop.yarn.ipc.RPCUtil.getRemoteException(RPCUtil.java:47) at 
> org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl.authorizeRequest(ContainerManagerImpl.java:383)
>  at 
> org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl.startContainer(ContainerManagerImpl.java:400)
>  at 
> org.apache.hadoop.yarn.api.impl.pb.service.ContainerManagerPBServiceImpl.startContainer(ContainerManagerPBServiceImpl.java:68)
>  at 
> org.apache.hadoop.yarn.proto.ContainerManager$ContainerManagerService$2.callBlockingMethod(ContainerManager.java:83)
>  at 
> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:454)
>  at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1014) at 
> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1735) at 
> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1731) at 
> java.security.AccessController.doPrivileged(Native Method) at 
> javax.security.auth.Subject.doAs(Subject.java:415) at 
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1441)
>  at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1729) at 
> sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at 
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
>  at 
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
>  at java.lang.reflect.Constructor.newInstance(Constructor.java:525) at 
> org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:90)
>  at 
> org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:57)
>  at 
> org.apache.hadoop.yarn.exceptions.impl.pb.YarnRemoteExceptionPBImpl.unwrapAndThrowException(YarnRemoteExceptionPBImpl.java:123)
>  at 
> org.apache.hadoop.yarn.api.impl.pb.client.ContainerManagerPBClientImpl.startContainer(ContainerManagerPBClientImpl.java:109)
>  at 
> org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:111)
>  at 
> org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:255)
>  at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
>  at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
>  at java.lang.Thread.run(Thread.java:722) . Failing the application. 
> It looks like the launchcontext for the app didn't have the resources rounded 
> up.

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