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The following page has been changed by ChristophMeissner: http://wiki.apache.org/jakarta-jmeter/LogAnalysis ------------------------------------------------------------------------------ == 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 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. + 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 data to 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): --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
