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 three CSV files. This is particularly useful if you plan on running Locust in an automated way with the --headless flag:

$ locust -f examples/basic.py --csv=example --headless -t10m

The files will be named example_stats.csv, example_failures.csv and example_history.csv (when using --csv=example). The first two files will contain the stats and failures for the whole test run, with a row for every stats entry (URL endpoint) and an aggregated row. The example_history.csv will get new rows with the current (10 seconds sliding window) stats appended during the whole test run. By default only the Aggregate row is appended regularly to the history stats, but if Locust is started with the --csv-full-history flag, a row for each stats entry (and the Aggregate) is appended every time the stats are written (once every 2 seconds by default).

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 1 second
locust.stats.CSV_STATS_FLUSH_INTERVAL_SEC = 60 # Determines how often the data is flushed to disk, default is 10 seconds