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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-13876) Improving performance of HeapMemoryManager
Date Fri, 12 Jun 2015 03:55:00 GMT

    [ https://issues.apache.org/jira/browse/HBASE-13876?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14582893#comment-14582893

Hadoop QA commented on HBASE-13876:

{color:green}+1 overall{color}.  Here are the results of testing the latest attachment 
  against master branch at commit 9d3422ed16004da1b0f9a874a98bd140b46b7a6f.
  ATTACHMENT ID: 12739151

    {color:green}+1 @author{color}.  The patch does not contain any @author tags.

    {color:green}+1 tests included{color}.  The patch appears to include 3 new or modified

    {color:green}+1 hadoop versions{color}. The patch compiles with all supported hadoop versions
(2.4.1 2.5.2 2.6.0)

    {color:green}+1 javac{color}.  The applied patch does not increase the total number of
javac compiler warnings.

    {color:green}+1 protoc{color}.  The applied patch does not increase the total number of
protoc compiler warnings.

    {color:green}+1 javadoc{color}.  The javadoc tool did not generate any warning messages.

    {color:green}+1 checkstyle{color}.  The applied patch does not increase the total number
of checkstyle errors

    {color:green}+1 findbugs{color}.  The patch does not introduce any  new Findbugs (version
2.0.3) warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase the total number
of release audit warnings.

    {color:green}+1 lineLengths{color}.  The patch does not introduce lines longer than 100

  {color:green}+1 site{color}.  The mvn site goal succeeds with this patch.

    {color:green}+1 core tests{color}.  The patch passed unit tests in .

Test results: https://builds.apache.org/job/PreCommit-HBASE-Build/14385//testReport/
Release Findbugs (version 2.0.3) 	warnings: https://builds.apache.org/job/PreCommit-HBASE-Build/14385//artifact/patchprocess/newFindbugsWarnings.html
Checkstyle Errors: https://builds.apache.org/job/PreCommit-HBASE-Build/14385//artifact/patchprocess/checkstyle-aggregate.html

  Console output: https://builds.apache.org/job/PreCommit-HBASE-Build/14385//console

This message is automatically generated.

> Improving performance of HeapMemoryManager
> ------------------------------------------
>                 Key: HBASE-13876
>                 URL: https://issues.apache.org/jira/browse/HBASE-13876
>             Project: HBase
>          Issue Type: Improvement
>          Components: hbase, regionserver
>    Affects Versions: 2.0.0, 1.0.1, 1.1.0, 1.1.1
>            Reporter: Abhilash
>            Assignee: Abhilash
>            Priority: Minor
>         Attachments: HBASE-13876-v2.patch, HBASE-13876-v3.patch, HBASE-13876-v4.patch,
HBASE-13876-v5.patch, HBASE-13876-v5.patch, HBASE-13876-v6.patch, HBASE-13876.patch
> I am trying to improve the performance of DefaultHeapMemoryTuner by introducing some
more checks. The current checks under which the DefaultHeapMemoryTuner works are very rare
so I am trying to weaken these checks to improve its performance.
> Check current memstore size and current block cache size. For say if we are using less
than 50% of currently available block cache size  we say block cache is sufficient and same
for memstore. This check will be very effective when server is either load heavy or write
heavy. Earlier version just waited for number of evictions / number of flushes to be zero
which are very rare.
> Otherwise based on percent change in number of cache misses and number of flushes we
increase / decrease memory provided for caching / memstore. After doing so, on next call of
HeapMemoryTuner we verify that last change has indeed decreased number of evictions / flush
either of which it was expected to do. We also check that it does not make the other (evictions
/ flush) increase much. I am doing this analysis by comparing percent change (which is basically
nothing but normalized derivative) of number of evictions and number of flushes during last
two periods. The main motive for doing this was that if we have random reads then we will
be having a lot of cache misses. But even after increasing block cache we wont be able to
decrease number of cache misses and we will revert back and eventually we will not waste memory
on block caches. This will also help us ignore random short term spikes in reads / writes.
I have also tried to take care not to tune memory if do do not have enough hints as unnecessary
tuning my slow down the system.

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