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Posted to issues@hbase.apache.org by "Liang Lee (JIRA)" <ji...@apache.org> on 2013/05/11 03:57:17 UTC

[jira] [Commented] (HBASE-6134) Improvement for split-worker to speed up distributed log splitting

    [ https://issues.apache.org/jira/browse/HBASE-6134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13655106#comment-13655106 ] 

Liang Lee commented on HBASE-6134:
----------------------------------

Hi,when I apply the patch in Hbase-0.94.2 ,I find error in the HLogSplitter.java:
The object DistributedLogSplittingHelper can't find its defination,what's the matter?
Thanks
                
> Improvement for split-worker to speed up distributed log splitting
> ------------------------------------------------------------------
>
>                 Key: HBASE-6134
>                 URL: https://issues.apache.org/jira/browse/HBASE-6134
>             Project: HBase
>          Issue Type: Improvement
>          Components: wal
>            Reporter: chunhui shen
>            Assignee: chunhui shen
>            Priority: Critical
>             Fix For: 0.95.0
>
>         Attachments: 6134v4.patch, HBASE-6134.patch, HBASE-6134v2.patch, HBASE-6134v3-92.patch, HBASE-6134v3.patch, HBASE-6134v4-94.patch, HBASE-6134v4-94v2.patch, HBASE-6134v4.patch
>
>
> First,we do the test between local-master-splitting and distributed-log-splitting
> Environment:34 hlog files, 5 regionservers,(after kill one, only 4 rs do ths splitting work), 400 regions in one hlog file
> local-master-split:60s+
> distributed-log-splitting:165s+
> In fact, in our production environment, distributed-log-splitting also took 60s with 30 regionservers for 34 hlog files (regionserver may be in high load)
> We found split-worker split one log file took about 20s
> (30ms~50ms per writer.close(); 10ms per create writers )
> I think we could do the improvement for this:
> Parallelizing the create and close writers in threads
> In the patch, change the logic for  distributed-log-splitting same as the local-master-splitting and parallelizing the close in threads.

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