#!/usr/bin/env python
# -*- coding: utf-8 -*-
import multiprocessing
import time
'''
关键
1 信号量
multiprocessing.Semaphore(n):
n表示资源总数
作用: 控制对共享资源的访问数量
适用: 池的最大连接数
本质: 相当于N把锁,获取其中一把就可以执行
信号量总数N在构造时传入
s = Semaphore(N)
如果信号量为0:进程堵塞,直到信号量大于0
适用:控制对共享资源的访问数量,例如池的最大连接数,访问服务器,文件
信号量基于计数器,每调用一次acquire(),计数器可减去1;
每调用一次release(),计数器加1,当计数器为0,acquire()被阻塞。
2 事件
multiprocessing.Event:
作用:实现进程之间同步通信
默认值为false:
set(): 表示这是为True
wait():等待
ref:
https://www.cnblogs.com/lidagen/p/7252247.html
https://www.cnblogs.com/kaituorensheng/p/4445418.html
'''
def first(event):
time.sleep(3)
print "begin set flag"
event.set()
def second(event):
print "wait first process"
event.wait()
print "end wait first process"
def processEvent():
myEvent = multiprocessing.Event()
firstProc = multiprocessing.Process(target=first, args=(myEvent,))
secondProc = multiprocessing.Process(target=second, args=(myEvent,))
secondProc.start()
firstProc.start()
firstProc.join()
secondProc.join()
def smaphoreTask(semaphore, msg):
semaphore.acquire()
# print "hello: %s" % (msg)
print "{name} acquire".format(name=multiprocessing.current_process().name)
time.sleep(msg)
semaphore.release()
print "{name} release".format(name=multiprocessing.current_process().name)
def processSemaphore():
s = multiprocessing.Semaphore(multiprocessing.cpu_count())
processes = []
for x in range(8):
p = multiprocessing.Process(target=smaphoreTask, args=(s,x,))
processes.append(p)
start = time.time()
for p in processes:
p.start()
for p in processes:
p.join()
end = time.time()
print "8 process cost: %s seconds" % (end - start)
def process():
processSemaphore()
processEvent()
if __name__ == "__main__":
process()
python 64式: 第15式、多进程,信号量与进程间通信
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转载自blog.csdn.net/qingyuanluofeng/article/details/83869163
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