Locust的測試結果保存到CSV文件，在這種情況下，有兩種方法可以執行此操作。
首先，通過Web UI運行Locust時，可以在“Download Data”選項卡下得到CSV文件。
其次，可以使用標籤運行Locust，該標籤將定期保存兩個CSV文件。如果計劃使用--no-web標籤以自動化方式運行Locust，這將特別有用：
$ locust -f examples/basic.py --csv=example --no-web -t10m
文件將被命名爲example_response_times.csv 和 example_stats.csv （使用--csv=example）並記錄Locust構建的信息。
如果你想要更快(慢)的寫入速度，也可以自動以寫入頻率：
import locust.stats
# 默認爲2秒
locust.stats.CSV_STATS_INTERVAL_SEC = 5
此數據將寫入兩個文件，並將_response_times.csv和_stats.csv添加到你提供的名稱中：
$ cat example_response_times.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
和
$ cat example_stats.csv
"Type","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
