分布式使用
如果要使用多进程/分布式的形式来进行压测，启动时需要增加以下参数：
主：locust -f test.py --master --host=http://example.com
从：locust -f test.py --slave --host=http://example.com
如果想在多台机器上运行Locust，在启动slaves时，我们应该指定master地址(当运行Locust分布式在同一台机器时，master的默认地址是127.0.0.1):
locust -f test.py --slave --master-host=ip --host=http://example.
locust 测试程序的编写
以前一篇中的示例程序 test.py 为例
from locust import HttpLocust, TaskSet, task, between
class UserBehavior(TaskSet):
def on_start(self):
""" on_start is called when a Locust start before any task is scheduled """
self.login()
def on_stop(self):
""" on_stop is called when the TaskSet is stopping """
self.logout()
def login(self):
self.client.post("/login", {"username":"ellen_key", "password":"education"})
def logout(self):
self.client.post("/logout", {"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
wait_time = between(5, 9)
主要是两个类，HttpLocust 和 TaskSet
Locust 表示每个虚拟的用户。
HttpLocust 是继承自 Locust 类, 且 client 绑定了自己的实现，如果不是http/https协议，我们需要继承Locust后实现自己的client。TaskSet 描述了每个locust 实例要运行的任务集，并提供了调度，包括执行顺序、权重等等。
@task 装饰器表示权重属性，即index()的执行频率是profile()的两倍
自定义客户端测试非http/https的系统
只需要编写一个触发request_success和request_failure事件的自定义客户端即可。
以一个xml-rpc协议为例
import time
import xmlrpclib
from locust import Locust, TaskSet, events, task, between
class XmlRpcClient(xmlrpclib.ServerProxy):
"""
Simple, sample XML RPC client implementation that wraps xmlrpclib.ServerProxy and
fires locust events on request_success and request_failure, so that all requests
gets tracked in locust's statistics.
"""
def __getattr__(self, name):
func = xmlrpclib.ServerProxy.__getattr__(self, name)
def wrapper(*args, **kwargs):
start_time = time.time()
try:
result = func(*args, **kwargs)
except xmlrpclib.Fault as e:
total_time = int((time.time() - start_time) * 1000)
###########################
## 1. 实现 request_failure 事件
###########################
events.request_failure.fire(request_type="xmlrpc", name=name, response_time=total_time, exception=e)
else:
total_time = int((time.time() - start_time) * 1000)
###########################
## 2. 实现 request_success 事件
###########################
events.request_success.fire(request_type="xmlrpc", name=name, response_time=total_time, response_length=0)
# In this example, I've hardcoded response_length=0. If we would want the response length to be
# reported correctly in the statistics, we would probably need to hook in at a lower level
return wrapper
class XmlRpcLocust(Locust):
"""
This is the abstract Locust class which should be subclassed. It provides an XML-RPC client
that can be used to make XML-RPC requests that will be tracked in Locust's statistics.
"""
def __init__(self, *args, **kwargs):
super(XmlRpcLocust, self).__init__(*args, **kwargs)
self.client = XmlRpcClient(self.host)
class ApiUser(XmlRpcLocust):
host = "http://127.0.0.1:8877/"
wait_time = between(0.1, 1)
class task_set(TaskSet):
@task(10)
def get_time(self):
self.client.get_time()
@task(5)
def get_random_number(self):
self.client.get_random_number(0, 100)
在上面的例子中，关键之处，即自定义客户端的实现中，当调用完成时，通过 events.request_failure 和 events.request_success 事件进行数据上报，从何locust可以完成数据统计。
如果需要运行起来以上例子，可以查看官方文档获得svr端代码。
