阅读目录

• 例1：使用进程池
• 例2：使用进程池（阻塞）
• 例3：使用进程池，并关注结果
• 例4：使用多个进程池

#coding: utf-8
import multiprocessing
import timedef func(msg):print "msg:", msgtime.sleep(3)print "end"if __name__ == "__main__":pool = multiprocessing.Pool(processes = 3)for i in xrange(4):msg = "hello %d" %(i)pool.apply_async(func, (msg, ))   #维持执行的进程总数为processes，当一个进程执行完毕后会添加新的进程进去print "Mark~ Mark~ Mark~~~~~~~~~~~~~~~~~~~~~~"pool.close()pool.join()   #调用join之前，先调用close函数，否则会出错。执行完close后不会有新的进程加入到pool,join函数等待所有子进程结束print "Sub-process(es) done."

#coding: utf-8
import multiprocessing
import timedef func(msg):print "msg:", msgtime.sleep(3)print "end"if __name__ == "__main__":pool = multiprocessing.Pool(processes = 3)for i in xrange(4):msg = "hello %d" %(i)pool.apply(func, (msg, ))   #维持执行的进程总数为processes，当一个进程执行完毕后会添加新的进程进去print "Mark~ Mark~ Mark~~~~~~~~~~~~~~~~~~~~~~"pool.close()pool.join()   #调用join之前，先调用close函数，否则会出错。执行完close后不会有新的进程加入到pool,join函数等待所有子进程结束print "Sub-process(es) done."

import multiprocessing
import timedef func(msg):print "msg:", msgtime.sleep(3)print "end"return "done" + msgif __name__ == "__main__":pool = multiprocessing.Pool(processes=4)result = []for i in xrange(3):msg = "hello %d" %(i)result.append(pool.apply_async(func, (msg, )))pool.close()pool.join()for res in result:print ":::", res.get()print "Sub-process(es) done."

#coding: utf-8
import multiprocessing
import os, time, randomdef Lee():print "\nRun task Lee-%s" %(os.getpid()) #os.getpid()获取当前的进程的IDstart = time.time()time.sleep(random.random() * 10) #random.random()随机生成0-1之间的小数end = time.time()print 'Task Lee, runs %0.2f seconds.' %(end - start)def Marlon():print "\nRun task Marlon-%s" %(os.getpid())start = time.time()time.sleep(random.random() * 40)end=time.time()print 'Task Marlon runs %0.2f seconds.' %(end - start)def Allen():print "\nRun task Allen-%s" %(os.getpid())start = time.time()time.sleep(random.random() * 30)end = time.time()print 'Task Allen runs %0.2f seconds.' %(end - start)def Frank():print "\nRun task Frank-%s" %(os.getpid())start = time.time()time.sleep(random.random() * 20)end = time.time()print 'Task Frank runs %0.2f seconds.' %(end - start)if __name__=='__main__':function_list=  [Lee, Marlon, Allen, Frank] print "parent process %s" %(os.getpid())pool=multiprocessing.Pool(4)for func in function_list:pool.apply_async(func)     #Pool执行函数，apply执行函数,当有一个进程执行完毕后，会添加一个新的进程到pool中print 'Waiting for all subprocesses done...'pool.close()pool.join()    #调用join之前，一定要先调用close() 函数，否则会出错, close()执行后不会有新的进程加入到pool,join函数等待素有子进程结束print 'All subprocesses done.'

#coding: utf-8
import multiprocessing def m1(x): print x * x if __name__ == '__main__': pool = multiprocessing.Pool(multiprocessing.cpu_count()) i_list = range(8)pool.map(m1, i_list)

#coding: utf-8
import multiprocessing
import loggingdef create_logger(i):print iclass CreateLogger(object):def __init__(self, func):self.func = funcif __name__ == '__main__':ilist = range(10)cl = CreateLogger(create_logger)pool = multiprocessing.Pool(multiprocessing.cpu_count())pool.map(cl.func, ilist)print "hello------------>"