python多线程编程(8):线程的合并和后台线程

线程的合并

python的Thread类中还提供了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，避免无休止的等待。因为两个线程顺序完成，看起来象一个线程，所以称为线程的合并。一个例子：

import threading
import random
import time

class MyThread(threading.Thread):

    def run(self):
        wait_time=random.randrange(1,10)
        print "%s will wait %d seconds" % (self.name, wait_time)
        time.sleep(wait_time)
        print "%s finished!" % self.name

if __name__=="__main__":
    threads = []
    for i in range(5):
        t = MyThread()
        t.start()
        threads.append(t)
    print 'main thread is waitting for exit...'
    for t in threads:
        t.join(1)

    print 'main thread finished!'

执行结果：

Thread-1 will wait 3 seconds
Thread-2 will wait 4 seconds
Thread-3 will wait 1 seconds
Thread-4 will wait 5 seconds
Thread-5 will wait 3 seconds
main thread is waitting for exit…
Thread-3 finished!
Thread-1 finished!
Thread-5 finished!
main thread finished!
Thread-2 finished!
Thread-4 finished!

对于sleep时间过长的线程（这里是2和4），将不被等待。

后台线程

默认情况下，主线程在退出时会等待所有子线程的结束。如果希望主线程不等待子线程，而是在退出时自动结束所有的子线程，就需要设置子线程为后台线程(daemon)。方法是通过调用线程类的setDaemon()方法。如下：

import threading
import random
import time

class MyThread(threading.Thread):

    def run(self):
        wait_time=random.randrange(1,10)
        print "%s will wait %d seconds" % (self.name, wait_time)
        time.sleep(wait_time)
        print "%s finished!" % self.name

if __name__=="__main__":
    print 'main thread is waitting for exit...'

    for i in range(5):
        t = MyThread()
        t.setDaemon(True)
        t.start()

    print 'main thread finished!'

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