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https://issues.apache.org/jira/browse/HBASE-14479?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14946256#comment-14946256
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stack commented on HBASE-14479:
-------------------------------

{code}
kalashnikov:hbase.git.commit stack$ python ./dev-support/findHangingTests.py  
https://builds.apache.org/job/PreCommit-HBASE-Build/15893//consoleText
Fetching https://builds.apache.org/job/PreCommit-HBASE-Build/15893//consoleText
Building remotely on ubuntu-2 (docker Ubuntu ubuntu) in workspace 
/home/jenkins/jenkins-slave/workspace/PreCommit-HBASE-Build
Testing patch for HBASE-14479.
Testing patch on branch master.
Printing hanging tests
Hanging test : org.apache.hadoop.hbase.util.TestHBaseFsck
Hanging test : org.apache.hadoop.hbase.namespace.TestNamespaceAuditor
Hanging test : 
org.apache.hadoop.hbase.master.balancer.TestStochasticLoadBalancer2
Hanging test : org.apache.hadoop.hbase.mob.mapreduce.TestMobSweeper
Hanging test : org.apache.hadoop.hbase.mob.compactions.TestMobCompactor
Printing Failing tests
{code}

These failed.

I'm just going to disable them all... they fail regularly.  Let me make issues.

> Apply the Leader/Followers pattern to RpcServer's Reader
> --------------------------------------------------------
>
>                 Key: HBASE-14479
>                 URL: https://issues.apache.org/jira/browse/HBASE-14479
>             Project: HBase
>          Issue Type: Improvement
>          Components: IPC/RPC, Performance
>            Reporter: Hiroshi Ikeda
>            Assignee: Hiroshi Ikeda
>            Priority: Minor
>         Attachments: HBASE-14479-V2.patch, HBASE-14479-V2.patch, 
> HBASE-14479.patch
>
>
> {{RpcServer}} uses multiple selectors to read data for load distribution, but 
> the distribution is just done by round-robin. It is uncertain, especially for 
> long run, whether load is equally divided and resources are used without 
> being wasted.
> Moreover, multiple selectors may cause excessive context switches which give 
> priority to low latency (while we just add the requests to queues), and it is 
> possible to reduce throughput of the whole server.



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