多线程与队列示例-优快云博客

本文通过Python实现了一个简单的多线程示例，包括生产者与消费者模式。使用了队列来协调多个线程之间的操作，并展示了如何在生产者线程中向队列添加元素，以及消费者线程如何从队列中取出并处理这些元素。


#!/usr/bin/python

import threading
from time import ctime, sleep
from Queue import Queue
from random import randint

class WadeThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args

    def getResult(self):
        return self.result

    def run(self):
        print 'starting', self.name, 'at:', ctime()
        self.result = apply(self.func, self.args)
        print self.name, 'finished at:', ctime()


def produce(queue, loops):
    for i in range(loops):
        sleep(randint(0, 2))
        queue.put('192.168.102.x', 1)
        print 'producing object for Q... size now', queue.qsize()

def consume(queue, loops):
    for i in range(loops):
        sleep(randint(2, 5))
        o = queue.get(1)
        print 'consumed object from Q... size now', queue.qsize()

funcs = [produce, consume]

def main():
    q = Queue(1000)
    threads = []
    for i in range(len(funcs)):
        t = WadeThread(funcs[i], (q, 10))
        threads.append(t)

    for i in range(len(funcs)):
        threads[i].start()

    for i in range(len(funcs)):
        threads[i].join()

if __name__ == '__main__':
    main()