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python线程池

时间:2018-11-30 18:01:58      阅读:142      评论:0      收藏:0      [点我收藏+]
https://blog.csdn.net/qq_33961117/article/details/82587873
#!/usr/bin/python # -*- coding: utf-8 -*- from concurrent.futures import ThreadPoolExecutor from threading import current_thread import time import requests def get(url): print(%s GET %s % (current_thread().name, url)) time.sleep(3) response = requests.get(url) if response.status_code == 200: res = response.text else: res = 下载失败 return res def parse(future): time.sleep(1) res = future.result() print(%s 解析结果为%s % (current_thread().name, len(res))) if __name__ == __main__: urls = [ https://www.baidu.com, https://www.sina.com.cn, https://www.tmall.com, https://www.jd.com, https://www.python.org, https://www.openstack.org, https://www.baidu.com, https://www.baidu.com, https://www.baidu.com, ] # 线程池内线程数 p = ThreadPoolExecutor()# ThreadPoolExecutor(4) 最多启用4个线程 不给则使用计算机的最大线程数 start = time.time() for url in urls: future = p.submit(get, url) future.add_done_callback(parse) p.shutdown(wait=True) print(, current_thread().name) print(完成时间, time.time() - start)

 

python线程池

原文:https://www.cnblogs.com/kexb/p/10045629.html

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