• python进程


    创建进程的类:Process([group [, target [, name [, args [, kwargs]]]]]),target表示调用对象,args表示调用对象的位置参数元组。kwargs表示调用对象的字典。name为别名。group实质上不使用。
    方法:is_alive()、join([timeout])、run()、start()、terminate()。其中,Process以start()启动某个进程。

    属性:authkey、daemon(要通过start()设置)、exitcode(进程在运行时为None、如果为–N,表示被信号N结束)、name、pid。其中daemon是父进程终止后自动终止,且自己不能产生新进程,必须在start()之前设置。

    例1.1:创建函数并将其作为单个进程

    import multiprocessing
    import time
    
    def worker(interval):
        n = 5
        while n > 0:
            print("The time is {0}".format(time.ctime()))
            time.sleep(interval)
            n -= 1
    
    if __name__ == "__main__":
        p = multiprocessing.Process(target = worker, args = (3,))
        p.start()
        print "p.pid:", p.pid
        print "p.name:", p.name
        print "p.is_alive:", p.is_alive()
    

    结果

    p.pid: 8736
    p.name: Process-1
    p.is_alive: True
    The time is Tue Apr 21 20:55:12 2015
    The time is Tue Apr 21 20:55:15 2015
    The time is Tue Apr 21 20:55:18 2015
    The time is Tue Apr 21 20:55:21 2015
    The time is Tue Apr 21 20:55:24 2015
    

    例1.2:创建函数并将其作为多个进程

    import multiprocessing
    import time
    
    def worker_1(interval):
        print "worker_1"
        time.sleep(interval)
        print "end worker_1"
    
    def worker_2(interval):
        print "worker_2"
        time.sleep(interval)
        print "end worker_2"
    
    def worker_3(interval):
        print "worker_3"
        time.sleep(interval)
        print "end worker_3"
    
    if __name__ == "__main__":
        p1 = multiprocessing.Process(target = worker_1, args = (2,))
        p2 = multiprocessing.Process(target = worker_2, args = (3,))
        p3 = multiprocessing.Process(target = worker_3, args = (4,))
    
        p1.start()
        p2.start()
        p3.start()
    
        print("The number of CPU is:" + str(multiprocessing.cpu_count()))
        for p in multiprocessing.active_children():
            print("child   p.name:" + p.name + "	p.id" + str(p.pid))
        print "END!!!!!!!!!!!!!!!!!"
    

    结果

    The number of CPU is:4
    child   p.name:Process-3    p.id7992
    child   p.name:Process-2    p.id4204
    child   p.name:Process-1    p.id6380
    END!!!!!!!!!!!!!!!!!
    worker_1
    worker_3
    worker_2
    end worker_1
    end worker_2
    end worker_3
    

    例1.3:将进程定义为类

    import multiprocessing
    import time
    
    class ClockProcess(multiprocessing.Process):
        def __init__(self, interval):
            multiprocessing.Process.__init__(self)
            self.interval = interval
    
        def run(self):
            n = 5
            while n > 0:
                print("the time is {0}".format(time.ctime()))
                time.sleep(self.interval)
                n -= 1
    
    if __name__ == '__main__':
        p = ClockProcess(3)
        p.start() 
    

    :进程p调用start()时,自动调用run()

    结果

    the time is Tue Apr 21 20:31:30 2015
    the time is Tue Apr 21 20:31:33 2015
    the time is Tue Apr 21 20:31:36 2015
    the time is Tue Apr 21 20:31:39 2015
    the time is Tue Apr 21 20:31:42 2015
    

      

    例1.4:daemon程序对比结果

    #1.4-1 不加daemon属性

    import multiprocessing
    import time
    
    def worker(interval):
        print("work start:{0}".format(time.ctime()));
        time.sleep(interval)
        print("work end:{0}".format(time.ctime()));
    
    if __name__ == "__main__":
        p = multiprocessing.Process(target = worker, args = (3,))
        p.start()
        print "end!"
    

    结果

    end!
    work start:Tue Apr 21 21:29:10 2015
    work end:Tue Apr 21 21:29:13 2015
    

    #1.4-2 加上daemon属性

    import multiprocessing
    import time
    
    def worker(interval):
        print("work start:{0}".format(time.ctime()));
        time.sleep(interval)
        print("work end:{0}".format(time.ctime()));
    
    if __name__ == "__main__":
        p = multiprocessing.Process(target = worker, args = (3,))
        p.daemon = True
        p.start()
        print "end!"
    

    结果

    end!
    

    :因子进程设置了daemon属性,主进程结束,它们就随着结束了。

    #1.4-3 设置daemon执行完结束的方法

    import multiprocessing
    import time
    
    def worker(interval):
        print("work start:{0}".format(time.ctime()));
        time.sleep(interval)
        print("work end:{0}".format(time.ctime()));
    
    if __name__ == "__main__":
        p = multiprocessing.Process(target = worker, args = (3,))
        p.daemon = True
        p.start()
        p.join()
        print "end!"
    

    结果

    work start:Tue Apr 21 22:16:32 2015
    work end:Tue Apr 21 22:16:35 2015
    end!
    

     

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  • 原文地址:https://www.cnblogs.com/alan-babyblog/p/5339501.html
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