[ 
https://issues.apache.org/jira/browse/HBASE-6284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13403683#comment-13403683
 ] 

Zhihong Ted Yu commented on HBASE-6284:
---------------------------------------

The patch was generated by svn, so choose hbase and specify / as Base Directory.
                
> Introduce HRegion#doMiniBatchDelete()
> -------------------------------------
>
>                 Key: HBASE-6284
>                 URL: https://issues.apache.org/jira/browse/HBASE-6284
>             Project: HBase
>          Issue Type: Bug
>          Components: performance, regionserver
>            Reporter: Zhihong Ted Yu
>            Assignee: Anoop Sam John
>             Fix For: 0.96.0, 0.94.1
>
>         Attachments: HBASE-6284_Trunk.patch
>
>
> From Anoop under thread 'Can there be a doMiniBatchDelete in HRegion':
> The HTable#delete(List<Delete>) groups the Deletes for the same RS and make 
> one n/w call only. But within the RS, there will be N number of delete calls 
> on the region one by one. This will include N number of HLog write and sync. 
> If this also can be grouped can we get better performance for the multi row 
> delete.
> I have made the new miniBatchDelete () and made the 
> HTable#delete(List<Delete>) to call this new batch delete.
> Just tested initially with the one node cluster.  In that itself I am getting 
> a performance boost which is very much promising.
> Only one CF and qualifier.
> 10K total rows delete with a batch of 100 deletes. Only deletes happening on 
> the table from one thread.
> With the new way the net time taken is reduced by more than 1/10
> Will test in a 4 node cluster also. I think it will worth doing this change.

--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators: 
https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa
For more information on JIRA, see: http://www.atlassian.com/software/jira

        

Reply via email to