[jira] [Created] (YARN-6407) Improve and fix locks of RM scheduler

["zhengchenyu (JIRA)" <ji...@apache.org>]

zhengchenyu created YARN-6407:
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             Summary: Improve and fix locks of RM scheduler
                 Key: YARN-6407
                 URL: https://issues.apache.org/jira/browse/YARN-6407
             Project: Hadoop YARN
          Issue Type: Bug
          Components: fairscheduler
    Affects Versions: 2.7.1
         Environment: CentOS 7, 1 Gigabit Ethernet
            Reporter: zhengchenyu
             Fix For: 2.7.1


First，this issue dose not duplicate the YARN-3091.
In our cluster, we have 5k nodes, and the server is configured with 1 Gigabit Ethernet. So network is bottleneck in our cluster.
We must distcp data from warehouse, because of 1 Gigabit Ethernet, we must set yarn.scheduler.fair.max.assign to 5, or must lead to hotspot.
The setting that max.assign is 5 lead to the assigned ability decreased. So we start the ContinuousSchedulingThread. 
As more applicaitons running in our cluster , and with ContinuousSchedulingThread, the problem of lock contention is more serious. 
In our cluster, the callqueue of ApplicationMasterSeriver's rpc is high occasionally. we worried that more problem occure in future with more application are running.
Here is our logical graph:
"1 Gigabit Ethernet" and "data hot spot" ==> "set yarn.scheduler.fair.max.assign to 5" ==> "ContinuousSchedulingThread is started" and "more applcations" => "lock contention"
I know YARN-3091 solved this problem, but the patch aims that change the object lock to read write lock. This change is still Coarse-Grained. So I think we lock the resources or not lock the large section code.




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