python学习之多线程
引入线程包或者命名空间import threading一:建立一个简单的线程程序
import time, threading
def test():
print('thread %s is running...' % threading.current_thread().name)
n = 0
while n < 5:
n = n + 1
print('thread %s >>> %s' % (threading.current_thread().name, n))
time.sleep(1)
print('thread %s ended.' % threading.current_thread().name)
print('thread %s is running...' % threading.current_thread().name)
t = threading.Thread(target=test, name='test')
t.start()
t.join()
print('thread %s ended.' % threading.current_thread().name)
运行结果如下:
http://www.cnblogs.com/airven/p/data:image/png;base64,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二:多个线程中线程同步
#-*- encoding: gb2312 -*-
import string, threading, time
def thread_main(a):
global count, mutex
# 获得线程名
threadname = threading.currentThread().getName()
for x in xrange(0, int(a)):
# 取得锁
mutex.acquire()
count = count + 1
# 释放锁
mutex.release()
print(threadname, x, count)
time.sleep(1)
def main(num):
global count, mutex
threads = []
count = 1
# 创建一个锁
mutex = threading.Lock()
# 先创建线程对象
for x in xrange(0, num):
threads.append(threading.Thread(target=thread_main, args=(10,)))
# 启动所有线程
for t in threads:
t.start()
# 主线程中等待所有子线程退出
for t in threads:
t.join()
if __name__ == '__main__':
num = 4
# 创建4个线程
main(4)
相关理解:
如何理解join()方法:使得一个线程可以等待另一个线程执行结束后再继续运行。这个方法还可以设定一个timeout参数, 通俗一点说就是让当前操作join方法的线程先完成,再去执行其它流程,timeout是超时时间,比如join(1),如果过了1s线程没有结束,线程会自动结束
如何理解线程同步:当系统中对同一个变量或方法同一时刻只允许被一个动作占用时,就要采用线程同步的方案去处理了
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