Put方法:以插入数据到队列中,他还有两个可选参数:blocked和timeout。详情自行百度python
Get方法:从队列读取而且删除一个元素。一样,他还有两个可选参数:blocked和timeout。详情自行百度dom
#!coding:utf-8 from multiprocessing import Process, Queue import os,time,random #写数据进程执行的代码 def proc_write(q,urls): print 'Process is write....' for url in urls: q.put(url) print 'put %s to queue... ' %url time.sleep(random.random()) #读数据进程的代码 def proc_read(q): print('Process is reading...') while True: url = q.get(True) print('Get %s from queue' %url) if __name__ == '__main__': #父进程建立Queue,并传给各个子进程 q = Queue() proc_write1 = Process(target=proc_write,args=(q,['url_1','url_2','url_3'])) proc_write2 = Process(target=proc_write,args=(q,['url_4','url_5','url_6'])) proc_reader = Process(target=proc_read,args=(q,)) #启动子进程,写入 proc_write1.start() proc_write2.start() proc_reader.start() #等待proc_write1结束 proc_write1.join() proc_write2.join() #proc_raader进程是死循环,强制结束 proc_reader.terminate()
#!coding:utf-8 import multiprocessing import os,time,random #写数据进程执行的代码 def proc_send(pipe,urls): #print 'Process is write....' for url in urls: print 'Process is send :%s' %url pipe.send(url) time.sleep(random.random()) #读数据进程的代码 def proc_recv(pipe): while True: print('Process rev:%s' %pipe.recv()) time.sleep(random.random()) if __name__ == '__main__': #父进程建立pipe,并传给各个子进程 pipe = multiprocessing.Pipe() p1 = multiprocessing.Process(target=proc_send,args=(pipe[0],['url_'+str(i) for i in range(10) ])) p2 = multiprocessing.Process(target=proc_recv,args=(pipe[1],)) #启动子进程,写入 p1.start() p2.start() p1.join() p2.terminate()