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From "Jingcheng Du (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-10721) Parallelize execution of multi operations on RegionServer
Date Wed, 12 Mar 2014 08:36:43 GMT

    [ https://issues.apache.org/jira/browse/HBASE-10721?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13931531#comment-13931531

Jingcheng Du commented on HBASE-10721:

I have the same concerns with [~apurtell]. I think it's better to have a separate pool with
a limited size for the parallel endpoint execution.

> Parallelize execution of multi operations on RegionServer
> ---------------------------------------------------------
>                 Key: HBASE-10721
>                 URL: https://issues.apache.org/jira/browse/HBASE-10721
>             Project: HBase
>          Issue Type: Sub-task
>          Components: regionserver
>            Reporter: Gary Helmling
> In the context of HBASE-10169, we're adding the ability to batch Coprocessor endpoint
calls per regionserver, using the same batching that happens in the RegionServer.multi() calls.
 However, execution of each of the calls will still happen serially on each RegionServer.
 For Coprocessor endpoint calls, it might help to parallelize these, since each execution
could be of indeterminate length.
> Since it may help to parallelize the Coprocessor endpoint invocations, it raises the
question of whether other operations handled in multi() calls should also be parallelized,
or should we just rely on macro-scale parallelization through the RPC handler threads?

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