使用multiprocessing.join()不会阻止执行

时间:2015-07-09 22:06:35

标签: python join multiprocessing

这是我运行的一些代码。我试图确保在我继续执行代码之前完成所有进程,但这并不像我期望的那样发生。

import sys
import multiprocessing as mp
import time
import random

def testJoin(argin):
    name =  mp.current_process().name
    exStartTime = time.time()
    time.sleep(argin * random.random())
    print(name + ' took %d seconds' %(time.time() - exStartTime))
    sys.stdout.flush()


if __name__ == '__main__':
    instances = [10, 10, 10, 10]
    jobs = []
    for k in instances:
        p = mp.Process(target = testJoin, args = (k,))
        jobs.append(p)
        p.start()
    p.join()

print('End of Program')

这是输出的内容:

End of Program
Process-4 took 1 seconds
End of Program
End of Program
Process-2 took 4 seconds
End of Program
Process-1 took 9 seconds
End of Program
Process-3 took 9 seconds

我感到困惑的是,我不希望看到“节目结束”不止一次打印,我当然不希望看到它打印出来,直到我的所有四个过程结束。我错过了什么?

1 个答案:

答案 0 :(得分:0)

您描述的行为不会在Unix下发生,但在Windows下会发生。 Windows缺少os.fork,因此为了启动子进程multiprocessing starts a new Python interpreter and imports the calling module

导入时if __name__ == "__main__" protects code from getting executed

print('End of Program')

不在if-statement内,每次导入调用模块时执行一次,主进程执行一次。

解决方案是简单地将print调用放在if-statement