粗鄙之语 2018-02-05
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
from multiprocessing import Process,Pipe,Lock def consumer(p,name,lock): produce, consume=p produce.close() while True: lock.acquire() baozi=consume.recv() lock.release() if baozi: print('%s 收到菠萝蜜干:%s' %(name,baozi)) else: consume.close() break def producer(p,n): produce, consume=p consume.close() for i in range(n): produce.send(i) produce.send(None) produce.send(None) produce.close() if __name__ == '__main__': produce,consume=Pipe() lock = Lock() c1=Process(target=consumer,args=((produce,consume),'c1',lock)) c2=Process(target=consumer,args=((produce,consume),'c2',lock)) p1=Process(target=producer,args=((produce,consume),10)) c1.start() c2.start() p1.start() produce.close() consume.close() c1.join() c2.join() p1.join() 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'] =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)