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From "Bibin A Chundatt (JIRA)" <j...@apache.org>
Subject [jira] [Created] (YARN-4618) RM Stops allocating containers if large number pending containers
Date Thu, 21 Jan 2016 06:12:39 GMT
Bibin A Chundatt created YARN-4618:
--------------------------------------

             Summary: RM Stops allocating containers if large number pending containers
                 Key: YARN-4618
                 URL: https://issues.apache.org/jira/browse/YARN-4618
             Project: Hadoop YARN
          Issue Type: Bug
            Reporter: Bibin A Chundatt
            Assignee: Bibin A Chundatt
            Priority: Critical


In  one of the test found that when RM is having so many pending container request to be served
RM Stops assigning containers.

Root total = 6 lakhs containers = 
Queue 1 = 3 lakh containers = 1328800000 MB
Queue 2 = 3+ lakh containers = 1428800000 MB
Each container request is with 4GB. 


{{ParentQueue#assignContainers}} is as below
{noformat}
    // Check if this queue need more resource, simply skip allocation if this
    // queue doesn't need more resources.
    if (!super.hasPendingResourceRequest(node.getPartition(),
        clusterResource, schedulingMode)) {
      if (LOG.isDebugEnabled()) {
        LOG.debug("Skip this queue=" + getQueuePath()
            + ", because it doesn't need more resource, schedulingMode="
            + schedulingMode.name() + " node-partition=" + node.getPartition());
      }
      return CSAssignment.NULL_ASSIGNMENT;
    }
{noformat}

When the pending resource > MAX VALUE and become *negative*  {{- 167XXXXXXX MB}} and always
NULL_ASSIGNMENT is return.

Tools used to test SLS.

For checking pendingResource request we should first check any pending containers (from getMetrics())
are there to be served. If pending containers are available then return true else consider
other check for increase request.

Thoughts ??







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