【python】多线程并发，rpc接口性能测试

1、官方文档

https://docs.python.org/3/library/concurrent.futures.html

 

2、安装

python 3.x中自带了concurrent.futures模块

python 2.7需要安装futures模块，使用命令pip install futures安装即可

pypi地址：https://pypi.python.org/pypi/futures/

 

3、ThreadPoolExecutor 示例

import concurrent.futures
import urllib.request

URLS = ['http://www.foxnews.com/',
        'http://www.cnn.com/',
        'http://europe.wsj.com/',
        'http://www.bbc.co.uk/',
        'http://nonexistant-subdomain.python.org/']

# Retrieve a single page and report the URL and contents
def load_url(url, timeout):
    with urllib.request.urlopen(url, timeout=timeout) as conn:
        return conn.read()

# We can use a with statement to ensure threads are cleaned up promptly
with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
    # Start the load operations and mark each future with its URL
    future_to_url = {executor.submit(load_url, url, 60): url for url in URLS}
    for future in concurrent.futures.as_completed(future_to_url):
        url = future_to_url[future]
        try:
            data = future.result()
        except Exception as exc:
            print('%r generated an exception: %s' % (url, exc))
        else:
            print('%r page is %d bytes' % (url, len(data)))

 

参考链接

https://docs.python.org/3/library/concurrent.futures.html

https://blog.csdn.net/xixihahalelehehe/article/details/107308083

https://www.cnblogs.com/CheeseZH/p/12713977.html

https://blog.csdn.net/weixin_41951954/article/details/122231732