使用4 种方式 对网络发起10次请求，进行10次耗时测试
以下代码在 Python3.6.5 下测试
测试代码
# -*- coding: utf-8 -*- import asyncio import time import aiohttp import requests urls = ["https://www.baidu.com/"] * 10 # 1、直接使用 requests def requests_main(): for url in urls: response = requests.get(url) html = response.text # 2、使用 requests.session def requests_session(): with requests.session() as session: for url in urls: response = session.get(url) html = response.text # 3、使用 aiohttp async def aiohttp_main(): for url in urls: async with aiohttp.ClientSession() as session: async with session.get(url) as response: html = await response.text() # 4、 使用 aiohttp.session async def aiohttp_session(): async with aiohttp.ClientSession() as session: for url in urls: async with session.get(url) as response: html = await response.text() if __name__ == '__main__': for i in range(10): start_time = time.time() # requests_main() # requests_session() # asyncio.get_event_loop().run_until_complete(aiohttp_main()) asyncio.get_event_loop().run_until_complete(aiohttp_session()) end_time = time.time() print("{:.3}".format(end_time - start_time)) """ 输出结果： requests_main 2.2, 3.69, 2.28, 2.14, 3.37, 2.25, 3.95, 2.97, 2.24, 3.61 requests_session 0.917, 0.719, 0.682, 0.814, 0.874, 1.66, 0.676, 0.672, 0.66, 0.824 aiohttp_main 3.1, 2.05, 2.12, 3.12, 1.97, 2.19, 3.38, 2.17, 2.44, 3.2 aiohttp_session 1.63, 0.599, 0.656, 0.586, 0.603, 0.607, 0.948, 0.6, 1.54, 1.42 """
对输出的结果进行平均值计算
计算结果如下
所以，对一个网站请求，最好维护一个session，较少握手连接次数是很有必要的，就算是单线程请求，也能得到很好地细性能提升
</div>使用4 种方式 对网络发起10次请求，进行10次耗时测试
以下代码在 Python3.6.5 下测试
测试代码
# -*- coding: utf-8 -*- import asyncio import time import aiohttp import requests urls = ["https://www.baidu.com/"] * 10 # 1、直接使用 requests def requests_main(): for url in urls: response = requests.get(url) html = response.text # 2、使用 requests.session def requests_session(): with requests.session() as session: for url in urls: response = session.get(url) html = response.text # 3、使用 aiohttp async def aiohttp_main(): for url in urls: async with aiohttp.ClientSession() as session: async with session.get(url) as response: html = await response.text() # 4、 使用 aiohttp.session async def aiohttp_session(): async with aiohttp.ClientSession() as session: for url in urls: async with session.get(url) as response: html = await response.text() if __name__ == '__main__': for i in range(10): start_time = time.time() # requests_main() # requests_session() # asyncio.get_event_loop().run_until_complete(aiohttp_main()) asyncio.get_event_loop().run_until_complete(aiohttp_session()) end_time = time.time() print("{:.3}".format(end_time - start_time)) """ 输出结果： requests_main 2.2, 3.69, 2.28, 2.14, 3.37, 2.25, 3.95, 2.97, 2.24, 3.61 requests_session 0.917, 0.719, 0.682, 0.814, 0.874, 1.66, 0.676, 0.672, 0.66, 0.824 aiohttp_main 3.1, 2.05, 2.12, 3.12, 1.97, 2.19, 3.38, 2.17, 2.44, 3.2 aiohttp_session 1.63, 0.599, 0.656, 0.586, 0.603, 0.607, 0.948, 0.6, 1.54, 1.42 """
对输出的结果进行平均值计算
计算结果如下
所以，对一个网站请求，最好维护一个session，较少握手连接次数是很有必要的，就算是单线程请求，也能得到很好地细性能提升
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