Locust is an easy-to-use, distributed, user load testing tool. It is intended for load-testing web sites (or other systems) and figuring out how many concurrent users a system can handle.php
The idea is that during a test, a swarm of locusts will attack your website. The behavior of each locust (or test user if you will) is defined by you and the swarming process is monitored from a web UI in real-time. This will help you battle test and identify bottlenecks in your code before letting real users in.node
Locust is completely event-based, and therefore it’s possible to support thousands of concurrent users on a single machine. In contrast to many other event-based apps it doesn’t use callbacks. Instead it uses light-weight processes, through gevent. Each locust swarming your site is actually running inside its own process (or greenlet, to be correct). This allows you to write very expressive scenarios in Python without complicating your code with callbacks.python
蝗蟲是什麼?ios
蝗蟲是一個易於使用、分發、用戶負載測試工具。它是用於負載測試的網站(或其餘系統),弄清楚有多少併發用戶系統能夠處理。web
咱們的想法是,在測試期間,一羣蝗蟲會攻擊你的網站。每一個蝗蟲的行爲(或測試用戶若是你願意)被定義爲你和彙集過程實時監控從web UI。這將幫助你戰鬥測試和代碼中識別瓶頸以前讓真正的用戶。shell
蝗蟲是徹底基於事件,所以能夠支持在單個機器上成千上萬的併發用戶。與許多其餘的基於事件的應用程序不使用回調。相反,它使用輕量級進程,經過gevent。每一個蝗蟲爬你的網站其實是運行在它本身的進程(或一種綠色小鳥,是正確的)。這容許您編寫很是富有表現力的場景在Python中沒有複雜的代碼和回調。express
Locust is available on PyPI and can be installed through pip or easy_installjson
pip install locustio
or:服務器
easy_install locustio
When Locust is installed, a locust command should be available in your shell (if you’re not using virtualenv—which you should—make sure your python script directory is on your path).併發
To see available options, run:
locust --help
Options: -h, --help show this help message and exit -H HOST, --host=HOST Host to load test in the following format: http://10.21.32.33 --web-host=WEB_HOST Host to bind the web interface to. Defaults to '' (all interfaces) -P PORT, --port=PORT, --web-port=PORT Port on which to run web host -f LOCUSTFILE, --locustfile=LOCUSTFILE Python module file to import, e.g. '../other.py'. Default: locustfile --master Set locust to run in distributed mode with this process as master --slave Set locust to run in distributed mode with this process as slave --master-host=MASTER_HOST Host or IP address of locust master for distributed load testing. Only used when running with --slave. Defaults to 127.0.0.1. --master-port=MASTER_PORT The port to connect to that is used by the locust master for distributed load testing. Only used when running with --slave. Defaults to 5557. Note that slaves will also connect to the master node on this port + 1. --master-bind-host=MASTER_BIND_HOST Interfaces (hostname, ip) that locust master should bind to. Only used when running with --master. Defaults to * (all available interfaces). --master-bind-port=MASTER_BIND_PORT Port that locust master should bind to. Only used when running with --master. Defaults to 5557. Note that Locust will also use this port + 1, so by default the master node will bind to 5557 and 5558. --no-web Disable the web interface, and instead start running the test immediately. Requires -c and -r to be specified. -c NUM_CLIENTS, --clients=NUM_CLIENTS Number of concurrent clients. Only used together with --no-web -r HATCH_RATE, --hatch-rate=HATCH_RATE The rate per second in which clients are spawned. Only used together with --no-web -n NUM_REQUESTS, --num-request=NUM_REQUESTS Number of requests to perform. Only used together with --no-web -L LOGLEVEL, --loglevel=LOGLEVEL Choose between DEBUG/INFO/WARNING/ERROR/CRITICAL. Default is INFO. --logfile=LOGFILE Path to log file. If not set, log will go to stdout/stderr --print-stats Print stats in the console --only-summary Only print the summary stats -l, --list Show list of possible locust classes and exit --show-task-ratio print table of the locust classes' task execution ratio --show-task-ratio-json print json data of the locust classes' task execution ratio -V, --version show program's version number and exit
Below is a quick little example of a simple locustfile.py:
from locust import HttpLocust, TaskSet def login(l): l.client.post("/login", {"username":"ellen_key", "password":"education"}) def index(l): l.client.get("/") def profile(l): l.client.get("/profile") class UserBehavior(TaskSet): tasks = {index:2, profile:1} def on_start(self): login(self) class WebsiteUser(HttpLocust): task_set = UserBehavior min_wait = 5000 max_wait = 9000
The HttpLocust
class inherits from the Locust
class, and it adds a client attribute which is an instance of HttpSession
, that can be used to make HTTP requests.
Another way we could declare tasks, which is usually more convenient, is to use the @task decorator. The following code is equivalent to the above:
from locust import HttpLocust, TaskSet, task class UserBehavior(TaskSet): def on_start(self): """ on_start is called when a Locust start before any task is scheduled """ self.login() def login(self): self.client.post("/login", {"username":"ellen_key", "password":"education"}) @task(2) def index(self): self.client.get("/") @task(1) def profile(self): self.client.get("/profile") class WebsiteUser(HttpLocust): task_set = UserBehavior min_wait = 5000 max_wait = 9000
To run Locust with the above locust file, if it was named locustfile.py and located in the current working directory, we could run:
locust --host=http://example.com
If the locust file is located under a subdirectory and/or named different than locustfile.py, specify it using -f
:
locust -f locust_files/my_locust_file.py --host=http://example.com
To run Locust distributed across multiple processes we would start a master process by specifying--master
:
locust -f locust_files/my_locust_file.py --master --host=http://example.com
and then we would start an arbitrary number of slave processes:
locust -f locust_files/my_locust_file.py --slave --host=http://example.com
If we want to run locust distributed on multiple machines we would also have to specify the master host when starting the slaves (this is not needed when running locust distributed on a single machine, since the master host defaults to 127.0.0.1):
locust -f locust_files/my_locust_file.py --slave --master-host=192.168.0.100 --host=http://example.com
Once you’ve started Locust using one of the above command lines, you should open up a browser and point it to http://127.0.0.1:8089 (if you are running Locust locally). Then you should be greeted with something like this:
from locust import HttpLocust, TaskSet, task class WebSite(TaskSet): def on_start(self): self.login() def login(self): login_data = {'log':'admin','pwd':'admin'} res = self.client.post('/wordpress/wp-login.php',login_data) @task() def create_task(self): self.client.get("/") @task(1) def profile(self): res = self.client.get("/wordpress/wp-admin") print res.url
class Wordpress(HttpLocust): task_set = WebSite min_wait = 1000 max_wait = 1000
蝗蟲比Jmeter好的一點就是 高併發,可是相對的很差的地方也有,就是須要另外的工具去監控服務器,並且須要去編寫代碼,
locust還須要再去深刻研究琢磨,Locust使用好了 是一款很是強大的性能測試工具
http://docs.locust.io/en/latest/