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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2869) Apply JMH on IOManagerPerformanceBenchmark class.
Date Tue, 20 Oct 2015 08:48:29 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2869?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14964808#comment-14964808
] 

ASF GitHub Bot commented on FLINK-2869:
---------------------------------------

GitHub user gallenvara opened a pull request:

    https://github.com/apache/flink/pull/1270

    [FLINK-2869] [tests] Apply JMH on IOManagerPerformanceBenchmark class.

    JMH is a Java harness for building, running, and analysing nano/micro/milli/macro benchmarks.Use
JMH to replace the old micro benchmarks method in order to get much more accurate results.Modify
the `IOManagerPerformanceBenchmark` class and move it to `flink-benchmark` module.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/gallenvara/flink IOManagerPerformanceBenchmark

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/1270.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #1270
    
----
commit dfcda0bc80fc9aaf01bfb73fb63b1e9351b8986a
Author: gallenvara <gallenvara@126.com>
Date:   2015-10-20T01:49:34Z

    [FLINK-2869] [tests] Apply JMH on IOManagerPerformanceBenchmark class.

----


> Apply JMH on IOManagerPerformanceBenchmark class.
> -------------------------------------------------
>
>                 Key: FLINK-2869
>                 URL: https://issues.apache.org/jira/browse/FLINK-2869
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Tests
>            Reporter: GaoLun
>            Assignee: GaoLun
>            Priority: Minor
>              Labels: easyfix
>
> JMH is a Java harness for building, running, and analysing nano/micro/milli/macro benchmarks.Use
JMH to replace the old micro benchmarks method in order to get much more accurate results.



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