【10.2】多线程编程-threading

 1 #!/user/bin/env python
 2 # -*- coding:utf-8 -*-
 3 
 4 # 对于io操作来说，多线程和多进程性能差别不大
 5 # 1.通过Thread类实例化
 6 import time
 7 import threading
 8 
 9 
10 def get_detail_html(url):
11     print(‘get detail html started‘)
12     time.sleep(2)
13     print(‘get detail html end‘)
14 
15 
16 def get_detail_url(url):
17     print(‘get detail url started‘)
18     time.sleep(2)
19     print(‘get detail url end‘)
20 
21 
22 if __name__ == ‘__main__‘:
23     thread1 = threading.Thread(target=get_detail_html, args=(‘‘,))
24     thread2 = threading.Thread(target=get_detail_url, args=(‘‘,))
25 
26     # 将thread1和thread2设置为守护线程，即主线程退出，子线程关闭
27     thread1.setDaemon(True)
28     thread2.setDaemon(True)
29 
30     start_time = time.time()
31     # 启动线程
32     thread1.start()
33     thread2.start()
34 
35     # 阻塞，等待thread1和thread2两个子线程执行完成
36     thread1.join()
37     thread2.join()
38 
39     print(‘last time: {}‘.format(time.time() - start_time))

 1 #!/user/bin/env python
 2 # -*- coding:utf-8 -*-
 3 
 4 # 对于io操作来说，多线程和多进程性能差别不大
 5 # 2.通过集成Thread来实现多线程
 6 import time
 7 import threading
 8 
 9 
10 class GetDetailHtml(threading.Thread):
11     def __init__(self, name):
12         super().__init__(name=name)
13 
14     def run(self):
15         print(‘get detail html started‘)
16         time.sleep(2)
17         print(‘get detail html end‘)
18 
19 
20 class GetDetailUrl(threading.Thread):
21     def __init__(self, name):
22         super().__init__(name=name)
23 
24     def run(self):
25         print(‘get detail url started‘)
26         time.sleep(2)
27         print(‘get detail url end‘)
28 
29 
30 if __name__ == ‘__main__‘:
31     thread1 = GetDetailHtml(‘get_detail_html‘)
32     thread2 = GetDetailUrl(‘get_detail_url‘)
33 
34     start_time = time.time()
35 
36     thread1.start()
37     thread2.start()
38 
39     thread1.join()
40     thread2.join()
41     print(‘last time: {}‘.format(time.time() - start_time))