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