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https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14906823#comment-14906823
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Wangda Tan commented on YARN-4140:
----------------------------------

bq. Can this scenario be possible ? IIRC, MR its not possible but may be 
possible in other apps ? 
I remember we have previously solved some corner cases like this, I'm not 100% 
sure, but I assume this could happen.

bq. Currrently the increment and decrements is happening only for Any request 
so updates not required .
Agree

[~bibinchundatt], could you update the patch to latest trunk? 

> RM container allocation delayed incase of app submitted to Nodelabel partition
> ------------------------------------------------------------------------------
>
>                 Key: YARN-4140
>                 URL: https://issues.apache.org/jira/browse/YARN-4140
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: api, client, resourcemanager
>            Reporter: Bibin A Chundatt
>            Assignee: Bibin A Chundatt
>         Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: <memory:512, vCores:1>, # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: <memory:512, vCores:1>, # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: <memory:512, vCores:1>, # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: <memory:512, vCores:1>, # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=<memory:0, vCores:0>, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 --> <memory:0, 
> vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=<memory:0, vCores:0>, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 --> <memory:0, 
> vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=<memory:0, vCores:0>, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 --> <memory:0, 
> vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=<memory:0, vCores:0>, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 --> <memory:0, 
> vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=<memory:0, vCores:0>, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 --> <memory:0, 
> vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat hadoop-dsperf-resourcemanager-host-127.log | grep "NODE_LOCAL" | grep 
> "root.b.b1" | wc -l
> 500
> {code}
>  
> (Consumes about 6 minutes)
>  



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