Python 多进程应用示例

import multiprocessing

import time



def func(name):

	outputline=name

	for i in range(3):

		outputline+= " repeat "+str(i)

		time.sleep(1)

	return outputline



def main():

	pool=multiprocessing.Pool(processes=4)

	result=[]

	for i in range(4):

		pname="cpu_%d"%i

		result.append(pool.apply_async(func, (pname, )))

	pool.close()

	pool.join()

	for res in result:

		print res.get()

	print "all processes done"



if __name__ == '__main__':

	main()

 示例2，使用锁同步

import multiprocessing

import time



def func(name,lock):

	outputline=name

	for i in range(3):

		outputline+= " repeat "+str(i)

		lock.acquire()

		print name+" repeat "+str(i)

		lock.release()

		time.sleep(1)

	return outputline



def main():

	lock=multiprocessing.Lock()

	subprocesses=[]

	for i in range(4):

		pname="cpu_%d"%i

		process=multiprocessing.Process(target=func, args=(pname,lock))

		process.start()

		subprocesses.append(process)

	

	for p in subprocesses:

		p.join()



	print "all processes done"



if __name__ == '__main__':

	main()

 

ref：

http://www.coder4.com/archives/3352

http://www.cnblogs.com/vamei/archive/2012/10/12/2721484.html