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https://issues.apache.org/jira/browse/YARN-5795?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15614196#comment-15614196
 ] 

tangshangwen commented on YARN-5795:
------------------------------------

I think allocate method using DOMINANT RESOURCE CALCULATOR, AppMaster should 
also be the same.
{code:title=FairScheduler.java|borderStyle=solid}
  @Override
  public Allocation allocate(ApplicationAttemptId appAttemptId,
      List<ResourceRequest> ask, List<ContainerId> release,
      List<String> blacklistAdditions, List<String> blacklistRemovals) {

    // Make sure this application exists
    FSAppAttempt application = getSchedulerApp(appAttemptId);
    if (application == null) {
      LOG.info("Calling allocate on removed " +
          "or non existant application " + appAttemptId);
      return EMPTY_ALLOCATION;
    }

    // Sanity check
    SchedulerUtils.normalizeRequests(ask, DOMINANT_RESOURCE_CALCULATOR,
        clusterResource, minimumAllocation, getMaximumResourceCapability(),
        incrAllocation);
......
}
{code}

> FairScheduler set AppMaster vcores didn't work
> ----------------------------------------------
>
>                 Key: YARN-5795
>                 URL: https://issues.apache.org/jira/browse/YARN-5795
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: resourcemanager
>    Affects Versions: 2.7.1
>            Reporter: tangshangwen
>            Assignee: tangshangwen
>
> In our cluster, we use the linux container, I would like to increase the 
> number of cpu to get more CPU time slice, but it did not take effect, i set 
> yarn.app.mapreduce.am.resource.cpu-vcores = 2 ,but i found the 
> resourcemanager log
> {noformat}
> [2016-10-27T16:36:37.280 08:00] [INFO] 
> resourcemanager.scheduler.SchedulerNode.allocateContainer(SchedulerNode.java 
> 153) [ResourceManager Event Processor] : Assigned container 
> container_1477059529836_336635_01_000001 of capacity <memory:2048, vCores:1>
> {noformat}
> Because scheduler.getResourceCalculator() only computes memory
> {code:title=RMAppManager.java|borderStyle=solid}
>  private ResourceRequest validateAndCreateResourceRequest(
>       ApplicationSubmissionContext submissionContext, boolean isRecovery)
>       throws InvalidResourceRequestException {
> ...
>       SchedulerUtils.normalizeRequest(amReq, 
> scheduler.getResourceCalculator(),
>           scheduler.getClusterResource(),
>           scheduler.getMinimumResourceCapability(),
>           scheduler.getMaximumResourceCapability(),
>           scheduler.getMinimumResourceCapability());
> ...
> }
> {code}



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