【10.2】多线程编程-threading

1.通过Thread类实例化

#!/user/bin/env python
# -*- coding:utf-8 -*-

# 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(2)
    print('get detail url end')


if __name__ == '__main__':
    thread1 = threading.Thread(target=get_detail_html, args=('',))
    thread2 = threading.Thread(target=get_detail_url, args=('',))

    # 将thread1和thread2设置为守护线程，即主线程退出，子线程关闭
    thread1.setDaemon(True)
    thread2.setDaemon(True)

    start_time = time.time()
    # 启动线程
    thread1.start()
    thread2.start()

    # 阻塞，等待thread1和thread2两个子线程执行完成
    thread1.join()
    thread2.join()

    print('last time: {}'.format(time.time() - start_time))

get detail html started
get detail url started
get detail url end
get detail html end
last time: 2.0038082599639893

2.通过继承Thread来实现多线程

#!/user/bin/env python
# -*- coding:utf-8 -*-

# 对于io操作来说，多线程和多进程性能差别不大
# 2.通过集成Thread来实现多线程
import time
import threading


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(2)
        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()
    print('last time: {}'.format(time.time() - start_time))

get detail html started
get detail url started
get detail html end
get detail url end
last time: 2.0030484199523926