1,IPC-PIPE:
管道 pipe
from multiprocessing import Process from multiprocessing import Pipe p1,p2 = Pipe() #支持双向通信 # send p1.send('菠萝蜜干') # recv print(p2.recv()) p2.send('酸奶') # p2.close() print(p1.recv()) print(p1.recv()) #管道里没有值会报错: EOFError
2,用管道也能实现生产者消费者模型
1 from multiprocessing import Process,Pipe,Lock 2 3 def consumer(p,name,lock): 4 produce, consume=p 5 produce.close() 6 while True: 7 lock.acquire() 8 baozi=consume.recv() 9 lock.release() 10 if baozi: 11 print('%s 收到菠萝蜜干:%s' %(name,baozi)) 12 else: 13 consume.close() 14 break 15 16 def producer(p,n): 17 produce, consume=p 18 consume.close() 19 for i in range(n): 20 produce.send(i) 21 produce.send(None) 22 produce.send(None) 23 produce.close() 24 25 if __name__ == '__main__': 26 produce,consume=Pipe() 27 lock = Lock() 28 c1=Process(target=consumer,args=((produce,consume),'c1',lock)) 29 c2=Process(target=consumer,args=((produce,consume),'c2',lock)) 30 p1=Process(target=producer,args=((produce,consume),10)) 31 c1.start() 32 c2.start() 33 p1.start() 34 35 produce.close() 36 consume.close() 37 38 c1.join() 39 c2.join() 40 p1.join() 41 print('主进程')
3,IPC-Manager
import time from multiprocessing import Manager from multiprocessing import Process # Manager是一个类 就提供了可以进行数据共享的一个机制 提供了很多数据类型 dict list def func(dic): print(dic) while True: print(dic) time.sleep(3) if __name__ == '__main__': m = Manager() d = m.dict({'count':0}) print(d) p = Process(target=func,args=(d,)) p.start() d['count'] = 0 from multiprocessing import Manager,Process,Lock def work(d,lock): lock.acquire() d['count'] -= 1 lock.release() if __name__ == '__main__': lock= Lock() m = Manager() dic=m.dict({'count':100}) # 共享的数据 l = [] for i in range(100): p=Process(target=work,args=(dic,lock)) p.start() l.append(p) [p.join() for p in l] print(dic)