当第一个进程在 python3 中完成时,如何终止并行进程?

How do I terminate the parallel process when the first one has finished in python3?

问题:如何在进程号 1 完成后停止进程号 2?

更长的版本:我制作了一个多进程 2 个函数的脚本,但我真的不知道如何在第一个进程完成后停止第二个进程。

我的代码:

def printHelloWorld(): # So this takes 5.0053 seconds to completly run
    print("Hello World.")
    time.sleep(5)
    print("Hello World. (after 5 seconds)")


def printText(): # And this takes 10.0102 seconds to completly run
    print("Some text.")
    time.sleep(10)
    print("Some text. (after 10 seconds)")


if __name__ == "__main__": # I multiprocessed these 2 functions to reduce time. 
    # But what I actually want is to terminate process 2 when process 1 has finished.
    p1 = Process(target = printHelloWorld) 
    p2 = Process(target = printText)
    p1.start()
    p2.start()          
    p1.join()
    p2.join()

我尝试了一个 while 循环来检查何时 p1.is_alive == False 然后我应该终止进程 2,但它没有用。我也搜索了答案,但没有找到符合我要求的答案。

感谢reading/answering!

让我澄清一些事情:如果我不能正确解释,我很抱歉,但我想问的是,我如何检查哪个进程先完成并终止第二个进程,因为它不再需要?

示例:如果我们不知道函数 1 和 2 的执行时间怎么办(两个函数都处于并行过程中)。因此,一旦第一个进程停止,我希望另一个进程停止。我怎样才能做到这一点?我希望现在可以清楚地描述这一点。再次抱歉造成混淆!

你试过了吗Process.terminate

import time
from multiprocessing import Process


def printHelloWorld(): # So this takes 5.0053 seconds to completly run
    print("Hello World.")
    time.sleep(5)
    print("Hello World. (after 5 seconds)")


def printText(): # And this takes 10.0102 seconds to completly run
    print("Some text.")
    time.sleep(10)
    print("Some text. (after 10 seconds)")


if __name__ == "__main__": # I multiprocessed these 2 functions to reduce time.
    # But what I actually want is to terminate process 2 when process 1 has finished.
    p1 = Process(target = printHelloWorld)
    p2 = Process(target = printText)
    p1.start()
    p2.start()
    p1.join()
    p2.terminate()  # terminate process 2
    p2.join()

我建议您使用 Pebble 库。它包装了 Python 的标准库线程和多处理对象。但它极有可能 取消 运行 调用 .

import time
from concurrent.futures import wait, FIRST_COMPLETED
from pebble import ProcessPool

def printHelloWorld():  # So this takes 5.0053 seconds to completly run
    print("Hello World.")
    time.sleep(5)
    print("Hello World. (after 5 seconds)")


def printText():  # And this takes 10.0102 seconds to completly run
    print("Some text.")
    time.sleep(10)
    print("Some text. (after 10 seconds)")


if __name__ == "__main__":  # I multiprocessed these 2 functions to reduce time.
    with ProcessPool(max_workers=2) as pool:
        f1 = pool.schedule(printHelloWorld)
        f2 = pool.schedule(printText)
        done, not_done = wait((f1, f2), return_when=FIRST_COMPLETED)
        for f in not_done:
            f.cancel()