#对于io操作来说,多线程和多进程性能差别不大 #1.通过Thread类实例化 import time import threading def get_detail_html(url): print("get detail html started") time.sleep(2) print("get detail html end") def get_detail_url(url): print("get detail url started") time.sleep(4) print("get detail url end") #2. 通过集成Thread来实现多线程 class GetDetailHtml(threading.Thread): def __init__(self, name): super().__init__(name=name) def run(self): print("get detail html started") time.sleep(2) print("get detail html end") class GetDetailUrl(threading.Thread): def __init__(self, name): super().__init__(name=name) def run(self): print("get detail url started") time.sleep(4) print("get detail url end") if __name__ == "__main__": thread1 = GetDetailHtml("get_detail_html") thread2 = GetDetailUrl("get_detail_url") start_time = time.time() thread1.start() thread2.start() thread1.join() thread2.join() #当主线程退出的时候, 子线程kill掉 print ("last time: {}".format(time.time()-start_time))
多线程复习
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转载自www.cnblogs.com/Erick-L/p/8915199.html
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