Question

我遇到了多处理问题：

class PythonHelper(object):
    @staticmethod
    def run_in_parallel(*functions):
        processes=list()
        for function in functions:
            process=Process(target=function)
            process.start()
            processes.append(process)
        for process in processes:
            process.join()

我使用上述stathic方法同时运行多个函数（在一个过程中组合它们）。一切都没问题，直到我遇到一个'子进程'终止时迫使进程终止的需要。

例如：

from PythonHelper import PythonHelper as ph
from Recorder import Recorder

class Logger(object):

    def run_recorder_proc(self):
        rec=Recorder()
        rec.record_video()

    def run_printer_proc(self):
    #hypothetical function: execution takes a long time
        for i in range(9000000):
            print("number: {}".format(i))

    def run_logger(self):
        ph.run_in_parallel(self.run_printer_proc,self.run_recorder_proc)

self.run_printer_proc 和 self.run_recorder_proc 是我的子流程。如何在其中一个子进程完成时“杀死”剩余的子进程？

编辑：完整源代码：

class PythonHelper(object):
    @staticmethod
    #with your fix
    def run_in_parallel(*functions):
        processes={}
        for function in functions:
            process=Process(target=function)
            process.start()
            processes[process.pid]=process
        # wait for any process to complete
        pid, status = os.waitpid(-1, 0)
        # one process terminated
        # join it
        processes[pid].join()
        del processes[pid]
        # terminate the rest
        for process in processes.values():
            process.terminate()
        for process in processes.values():
            process.join()


class Logger(object):
    def run_numbers_1(self):
        for i in range(900000):
            print("number: {}".format(i))
    def run_numbers_2(self):
        for i in range(100000):
            print("number: {}".format(i))
    def run_logger(self):
        ph.run_in_parallel(self.run_numbers_1,self.run_numbers_2)

if __name__=="__main__":
    logger=Logger()
    logger.run_logger()

根据上面的示例，我想在 run_numbers_2 完成时强制终止 run_numbers_1 。

Answer 1

您可以通过稍微更改run_in_parallel()来实现这一目标：

def run_in_parallel(*functions):
    processes={}
    for function in functions:
        process=Process(target=function)
        process.start()
        processes[process.pid]=process
    # wait for any process to complete
    pid, status = os.waitpid(-1, 0) 
    # one process terminated
    # join it
    processes[pid].join()
    del processes[pid]
    # terminate the rest
    for process in processes.itervalues():
        process.terminate()
    for process in processes.itervalues():
        process.join()

<强> [更新] 根据您的完整代码，这是一个工作示例。它不使用竞争os.waitpid()，而是使用Event对象，其他进程在完成后设置：

from multiprocessing import Process, Event

class MyProcess(Process):
    def __init__(self, event, *args, **kwargs):
        self.event = event
        Process.__init__(self, *args, **kwargs)

    def run(self):
        Process.run(self)
        self.event.set()

class PythonHelper(object):
    @staticmethod
    #with your fix
    def run_in_parallel(*functions):
        event = Event()
        processes=[]
        for function in functions:
            process=MyProcess(event, target=function)
            process.start()
            processes.append(process)
        # wait for any process to complete
        event.wait()
        # one process completed
        # terminate all child processes
        for process in processes:
            process.terminate()
        for process in processes:
            process.join()


class Logger(object):
    def run_numbers_1(self):
        for i in range(90000):
            print("1 number: {}".format(i))
    def run_numbers_2(self):
        for i in range(10000):
            print("2 number: {}".format(i))
    def run_logger(self):
        PythonHelper.run_in_parallel(self.run_numbers_1,self.run_numbers_2)

if __name__=="__main__":
    logger=Logger()
    logger.run_logger()

如何在另一个子进程完成时终止运行子进程（在多处理中）

1 个答案: