tests/test_performance.py

# coding=utf-8
"""
 Licensed to the Apache Software Foundation (ASF) under one or more
 contributor license agreements.  See the NOTICE file distributed with
 this work for additional information regarding copyright ownership.
 The ASF licenses this file to You under the Apache License, Version 2.0
 (the "License"); you may not use this file except in compliance with
 the License.  You may obtain a copy of the License at

     http://www.apache.org/licenses/LICENSE-2.0
 Unless required by applicable law or agreed to in writing, software
 distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.

"""
import pstats

from pyjsonrpc import HttpClient

from dubbo_client import ZookeeperRegistry, DubboClient


number = 1000


def test_client_every_new():
    for x in range(number):
        user_provider = HttpClient(url="http://{0}{1}".format('172.19.3.111:38080/', 'com.ofpay.demo.api.UserProvider'))
        user_provider.getUser('A003')
        user_provider.queryUser(
            {u'age': 18, u'time': 1428463514153, u'sex': u'MAN', u'id': u'A003', u'name': u'zhangsan'})
        # user_provider.queryAll()
        user_provider.isLimit('MAN', 'Joe')
        user_provider('getUser', 'A005')


def test_client():
    user_provider = HttpClient(url="http://{0}{1}".format('172.19.3.111:38080/', 'com.ofpay.demo.api.UserProvider'))
    for x in range(number):
        user_provider.getUser('A003')
        user_provider.queryUser(
            {u'age': 18, u'time': 1428463514153, u'sex': u'MAN', u'id': u'A003', u'name': u'zhangsan'})
        # user_provider.queryAll()
        user_provider.isLimit('MAN', 'Joe')
        user_provider('getUser', 'A005')


def test_dubbo():
    service_interface = 'com.ofpay.demo.api.UserProvider'
    # 该对象较重，有zookeeper的连接，需要保存使用
    registry = ZookeeperRegistry('172.19.65.33:2181')
    user_provider = DubboClient(service_interface, registry, version='2.0')
    for x in range(number):
        user_provider.getUser('A003')
        user_provider.queryUser(
            {u'age': 18, u'time': 1428463514153, u'sex': u'MAN', u'id': u'A003', u'name': u'zhangsan'})
        # user_provider.queryAll()
        user_provider.isLimit('MAN', 'Joe')
        user_provider('getUser', 'A005')


if __name__ == '__main__':
    """
    在我的mac 4c8g笔记本上，同时启动服务端和客户端（忽略网络开销）
    test_client_every_new 运行1000次，13.380 seconds
    test_client 运行1000次， 12.851 seconds
    test_dubbo运行1000次 13.559 seconds
    说明
    1、加上Dubbo的封装，和原生的jsonrpclib差距很小，可以忽略不计
    2、每次new HttpClient和保持一个HttpClient句柄复用的效率相差不大
    3、每秒接近300次的调用，对一个业务系统来说绰绰有余
    大量的应用程序不需要这么快的运行速度，因为用户根本感觉不出来。
    例如开发一个下载MP3的网络应用程序，C程序的运行时间需要0.001秒，
    而Python程序的运行时间需要0.1秒，慢了100倍，但由于网络更慢，需要等待1秒，
    你想，用户能感觉到1.001秒和1.1秒的区别吗？
    这就好比F1赛车和普通的出租车在北京三环路上行驶的道理一样，
    虽然F1赛车理论时速高达400公里，但由于三环路堵车的时速只有20公里，
    因此，作为乘客，你感觉的时速永远是20公里。

    """
    # print u'test_client_every_new 运行{0}次， 耗时{1}'.format(number, timeit.timeit(test_client_every_new, number=1))
    # print u'test_client 运行{0}次， 耗时{1}'.format(number, timeit.timeit(test_client, number=1))
    # print u'test_dubbo 运行{0}次， 耗时{1}'.format(number, timeit.timeit(test_dubbo, number=1))
    # profile.run("test_dubbo()", 'test_dubbo.txt')
    p = pstats.Stats('test_dubbo.txt')
    p.sort_stats('time').print_stats()
    # profile.run('test_client_every_new()', 'test_client_every_new.txt')
    np = pstats.Stats('test_client_every_new.txt')
    np.sort_stats('time').print_stats()
    # profile.run('test_client()', 'test_client.txt')
    cp = pstats.Stats('test_client.txt')
    cp.sort_stats('time').print_stats()