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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (PROTON-1690) JMH Benchmarks for baseline performance of Message encoding/decoding
Date Tue, 05 Dec 2017 10:18:00 GMT

    [ https://issues.apache.org/jira/browse/PROTON-1690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16278344#comment-16278344
] 

ASF GitHub Bot commented on PROTON-1690:
----------------------------------------

Github user franz1981 commented on the issue:

    https://github.com/apache/qpid-proton-j/pull/12
  
    @gemmellr @tabish121 I've used the [JMH visualizer](http://jmh.morethan.io/) to compare
the performances of Symbols before/after the last improvements from @tabish121 and that's
what I've got:
    ![image](https://user-images.githubusercontent.com/13125299/33601774-7b8c569a-d9ad-11e7-8865-e7683a60339a.png)
    
    besides the (huge) improvement IMO it seems a pretty straightforward tool to show/measure
regressions/improvements. 
    
    



> JMH Benchmarks for baseline performance of Message encoding/decoding
> --------------------------------------------------------------------
>
>                 Key: PROTON-1690
>                 URL: https://issues.apache.org/jira/browse/PROTON-1690
>             Project: Qpid Proton
>          Issue Type: New Feature
>          Components: proton-j
>            Reporter: Francesco Nigro
>            Priority: Minor
>
> Using a standard and reliable tool to quantify the performances of critical components
would be useful to measure the effects of any changes in the engine.
> Currently lo standard the facto for such measurements is JMH (http://openjdk.java.net/projects/code-tools/jmh/)
hence it is highly desiderable to use it to avoid the JVM to perform un-wanted (ie unrealistic
in production uses) optimizations that could trick the results of any handrolled measurements.



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