Retrieve test statistics in CSV format

You may wish to consume your Locust results via a CSV file. In this case, there are two ways to do this.

First, when running Locust with the web UI, you can retrieve CSV files under the Download Data tab.

Secondly, you can run Locust with a flag which will periodically save two CSV files. This is particularly useful if you plan on running Locust in an automated way with the --no-web flag:

$ locust -f examples/basic.py --csv=example --no-web -t10m

The files will be named example_distribution.csv and example_requests.csv (when using --csv=example) and mirror Locust’s built in stat pages.

You can also customize how frequently this is written if you desire faster (or slower) writing:

import locust.stats
locust.stats.CSV_STATS_INTERVAL_SEC = 5 # default is 2 seconds

This data will write two files with _distribution.csv and _requests.csv added to the name you give:

$ cat example_distribution.csv
"Name","# requests","50%","66%","75%","80%","90%","95%","98%","99%","99.9%","99.99%","100%"
"GET /",31,4,4,4,4,4,4,4,4,4,4,4
"/does_not_exist",0,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"
"GET /stats/requests",38,3,4,4,4,4,5,5,5,5,5,5
"None Total",69,3,4,4,4,4,4,5,5,5,5,5

and:

$ cat example_requests.csv
"Method","Name","# requests","# failures","Median response time","Average response time","Min response time","Max response time","Average Content Size","Requests/s"
"GET","/",51,0,4,3,2,6,12274,0.89
"GET","/does_not_exist",0,56,0,0,0,0,0,0.00
"GET","/stats/requests",58,0,3,3,2,5,1214,1.01
"None","Total",109,56,3,3,2,6,6389,1.89