You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@hbase.apache.org by "stack (JIRA)" <ji...@apache.org> on 2016/06/05 19:46:59 UTC
[jira] [Resolved] (HBASE-6103) Optimize the HBaseServer to
deserialize the data for each ipc connection in parallel
[ https://issues.apache.org/jira/browse/HBASE-6103?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
stack resolved HBASE-6103.
--------------------------
Resolution: Not A Problem
Resolving as not a problem any more. The basic idea was done in HBASE-2941 . HBASE-15967 then does the sizing by CPU count that was superior in this issue over HBASE-2941.
> Optimize the HBaseServer to deserialize the data for each ipc connection in parallel
> ------------------------------------------------------------------------------------
>
> Key: HBASE-6103
> URL: https://issues.apache.org/jira/browse/HBASE-6103
> Project: HBase
> Issue Type: Improvement
> Components: Performance
> Reporter: Liyin Tang
> Assignee: Liyin Tang
> Attachments: HBASE-6103-fb-89.patch
>
>
> Currently HBaseServer is running with a single listener thread, which is responsible for accepting the connection, reading the data from network channel, deserializing the data into writable objects and handover to the IPC handler threads.
> When there are multiple hbase clients connecting to the region server (HBaseServer) and reading/writing a large set of data, the listener and the respond thread will be performance bottleneck.
> So the solution is to deserialize the data for each ipc connection in parallel for HBaseServer
> BTW, it is also one of the reasons that the parallel scanning from multiple clients is far slower than single client case.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)