[
https://issues.apache.org/jira/browse/HBASE-14479?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14966381#comment-14966381
]
Hiroshi Ikeda commented on HBASE-14479:
---------------------------------------
{quote}
I could experiment with removing queues to see if it buys us throughput.
{quote}
Some of tasks take a time to execute, and before dispatching a tasks within the
same thread, we should do key.interestOps(OP_READ) so that the selector resumes
receiving data from the corresponding connection, otherwise parallelized scans
in Phoenix or other cheat might reduce performance. Even if so, Support
fairness across parallelized scans (HBASE-12790) becomes difficult for scans
coming from the same TCP stream.
> 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 (1).patch, HBASE-14479-V2.patch,
> HBASE-14479-V2.patch, HBASE-14479.patch, gc.png, gets.png, io.png, median.png
>
>
> {{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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)