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The following page has been changed by ChristophMeissner:
http://wiki.apache.org/jakarta-jmeter/LogAnalysis

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  == Generating charts with Perl ==
  (Christoph Meissner) When it comes to exploit jmeters logfiles generated by 
many clients over a long testing period
- one might run into time consuming efforts putting all data together into 
charts. Present charts of jmeter relate response time with throughput. If you 
are working in larger enterprise environments it might also be interesting to 
see the relationship to the number of users who caused the requests. This 
applies even more when your company must make sure that it's application(s) 
have to supply a certain number of employees over all day. Also it is very 
interesting to get a feeling in which range response times deviate as soon as 
your application(s) get stressed. 
-  To reduce effort I wrote a Perl script that parses any number of jmeter logs
- and aggregates the data into several different charts (examples follow below):
+ one might run into time consuming efforts putting all data together into 
charts. Present charts of jmeter relate response time to throughput. If you are 
working in larger enterprise environments it might also be interesting to see 
the relationship to the number of users who caused the requests. This applies 
even more when your company must make sure that it's applications can supply a 
certain number of employees over all day. Also it is very interesting to get a 
feeling in which range response times deviate as soon as your applications get 
stressed. 
+ 
+ To reduce effort I'd like to present one of my Perl scripts here. It parses 
any number of jmeter logs and aggregates the data into several different charts 
(examples follow below):
  
  || '''chart type''' || '''comment''' ||
  || stacked chart abs || cusps for aggregated respone times per measure point 
||

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