Xia Hu created YARN-3126:
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             Summary: FairScheduler: queue's usedResource is always more than 
the maxResource limit
                 Key: YARN-3126
                 URL: https://issues.apache.org/jira/browse/YARN-3126
             Project: Hadoop YARN
          Issue Type: Bug
          Components: fairscheduler
    Affects Versions: 2.3.0
         Environment: hadoop2.3.0. fair scheduler. spark 1.1.0. 
            Reporter: Xia Hu


When submitting spark application(both spark-on-yarn-cluster and 
spark-on-yarn-cleint model), the queue's usedResources assigned by 
fairscheduler always can be more than the queue's maxResources limit.
And with reading codes of fairscheduler, I suppose this issue happened because 
of ignore to check the request resources when assign Container.
Here is the detail:
1. choose a queue. In this process, it will check if queue's usedResource is 
bigger than its max, with assignContainerPreCheck. 
2. then choose a app in the certain queue. 
3. then choose a container. And here is the question, there is no check whether 
this container would make the queue sources over its max limit. If a queue's 
usedResource is 13G, the maxResource limit is 16G, then a container which 
asking for 4G resources may be assigned successful. 

This problem will always happen in spark application, cause we can ask for 
different container resources in different applications. 
By the way, I have already use the patch from YARN-2083. 



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