You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hbase.apache.org by "Sean Busbey (JIRA)" <ji...@apache.org> on 2015/12/18 01:30:47 UTC
[jira] [Resolved] (HBASE-14205) RegionCoprocessorHost
System.nanoTime() performance bottleneck
[ https://issues.apache.org/jira/browse/HBASE-14205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Busbey resolved HBASE-14205.
---------------------------------
Resolution: Fixed
Hadoop Flags: Incompatible change,Reviewed (was: Reviewed)
> RegionCoprocessorHost System.nanoTime() performance bottleneck
> --------------------------------------------------------------
>
> Key: HBASE-14205
> URL: https://issues.apache.org/jira/browse/HBASE-14205
> Project: HBase
> Issue Type: Bug
> Components: Coprocessors, Performance, regionserver
> Reporter: Jan Van Besien
> Assignee: Andrew Purtell
> Priority: Critical
> Labels: needs_releasenote
> Fix For: 2.0.0, 1.2.0, 1.3.0
>
> Attachments: HBASE-14205.patch
>
>
> The tracking of execution time of coprocessor methods introduced in HBASE-11516 introduces 2 calls to System.nanoTime() per coprocessor method per coprocessor. This is resulting in a serious performance bottleneck in certain scenarios.
> For example consider the scenario where many rows are being ingested (PUT) in a table which has multiple coprocessors (we have up to 20 coprocessors). This results in 8 extra calls to System.nanoTime() per coprocessor (prePut, postPut, postStartRegionOperation and postCloseRegionOperation) which has in total (i.e. times 20) been seen to result in a 50% increase of execution time.
> I think it is generally considered bad practice to measure execution times on such a small scale (per single operation). Also note that measurements are taken even for coprocessors that do not even have an actual implementation for certain operations, making the problem worse.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)