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From "Devaraj K (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-4288) ClusterStatus.getMapTasks() and ClusterStatus.getReduceTasks() is giving one when no job is running
Date Fri, 08 Jun 2012 05:22:23 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-4288?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13291555#comment-13291555
] 

Devaraj K commented on MAPREDUCE-4288:
--------------------------------------

It is coming due to the hard-coded values in the below code,

{code:title=ResourceMgrDelegate.java|borderStyle=solid}
  public ClusterMetrics getClusterMetrics() throws IOException,
      InterruptedException {
    GetClusterMetricsRequest request = recordFactory.newRecordInstance(GetClusterMetricsRequest.class);
    GetClusterMetricsResponse response = applicationsManager.getClusterMetrics(request);
    YarnClusterMetrics metrics = response.getClusterMetrics();
    ClusterMetrics oldMetrics = new ClusterMetrics(1, 1, 1, 1, 1, 1, 
        metrics.getNumNodeManagers() * 10, metrics.getNumNodeManagers() * 2, 1,
        metrics.getNumNodeManagers(), 0, 0);
    return oldMetrics;
  }
{code} 

Here we cannot get runningMaps, runningReduces, occupiedMapSlots...etc from RM because the
yarn cluster is completely based on the resources and resource usages.


It doesn't look good to show these hard-coded values always to the user when they try to get
cluster status using the JobClient.getClusterStatus() API.

Any thoughts on this?
                
> ClusterStatus.getMapTasks() and ClusterStatus.getReduceTasks() is giving one when no
job is running
> ---------------------------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-4288
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4288
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: mrv2
>    Affects Versions: 2.0.0-alpha
>            Reporter: Nishan Shetty
>
> When no job is running in the cluster invoke the ClusterStatus.getMapTasks() and ClusterStatus.getReduceTasks()
API's
> Observed that these API's are returning one instead of zero(as no job is running)

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