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/Understanding the Gatling Report
Understanding the Gatling Report
Learn how to analyze a Gatling report.
In the previous lesson, we learned how to run the Gatling test script. In this lesson, we will understand the generated Gatling report.
The last line of the execution console output shows the HTML report path.
================================================================================---- Global Information --------------------------------------------------------> request count 2 (OK=2 KO=0 )> min response time 476 (OK=476 KO=- )> max response time 1034 (OK=1034 KO=- )> mean response time 755 (OK=755 KO=- )> std deviation 279 (OK=279 KO=- )> response time 50th percentile 755 (OK=755 KO=- )> response time 75th percentile 895 (OK=895 KO=- )> response time 95th percentile 1006 (OK=1006 KO=- )> response time 99th percentile 1028 (OK=1028 KO=- )> mean requests/sec 1 (OK=1 KO=- )---- Response Time Distribution ------------------------------------------------> t < 800 ms 1 ( 50%)> 800 ms < t < 1200 ms 1 ( 50%)> t > 1200 ms 0 ( 0%)> failed 0 ( 0%)================================================================================Reports generated in 0s.Please open the following file: /Users/desktop/gatling-load-test/gatling-results/samplesimulation-20200531214559990/index.html
Global Information
This chart shows how response times are distributed among standard ranges. The right panel shows the number of OK/KO requests.
The top panel shows some standard statistics such as min, max, average, standard deviation, and percentiles globally and per request.
Request indicators range, and percentiles can be overridden using the following properties:
gatling.core.charting.indicators.lowerBound = 200
gatling.core.charting.indicators.higherBound = 800
gatling.core.charting.indicators.percentile1 = 50
gatling.core.charting.indicators.percentile2 = 75
gatling.core.charting.indicators.percentile3 = 90
gatling.core.charting.indicators.percentile4 = 95
Individual HTTP request information can be viewed by clicking on the “Details” tab.
Response time against Global RPS
This chart is only available when looking at the details for an individual request/group.
Active Users along with the Simulation
This chart displays the active users during the simulation: total and per scenario.
“Active users” are neither “concurrent users” nor “users arrival rate”. It is a kind of mixed metric that serves for both open and closed workload models that represent “users who were active on the system under load at a given second”.
It’s computed as:
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