python 并发 进程 数据共享 锁 进程池

面向对象补充:对象中设置值

class Foo(object):

    def __init__(self):
        object.__setattr__(self, 'info', {}) # 在对象中设置值的本质

    def __setattr__(self, key, value):
        self.info[key] = value

    def __getattr__(self, item):
        print(item)
        return self.info[item]

obj = Foo()
obj.name = 'alex'
print(obj.name)
v = []
for i in range(10000):
    v.append(i)

print(v)

1. 进程

　　进程间数据不共享

data_list = []

def task(arg):
    data_list.append(arg)
    print(data_list)


def run():
    for i in range(10):
        p = multiprocessing.Process(target=task,args=(i,))
        # p = threading.Thread(target=task,args=(i,))
        p.start()

if __name__ == '__main__':
    run()

常用功能:

import time
def task(arg):
    time.sleep(2)
    print(arg)


def run():
    print('111111111')
    p1 = multiprocessing.Process(target=task,args=(1,))
    p1.name = 'pp1'
    p1.start()
    print('222222222')

    p2 = multiprocessing.Process(target=task, args=(2,))
    p2.name = 'pp2'
    p2.start()
    print('333333333')

if __name__ == '__main__':
    run()

类继承方式创建进程:

class MyProcess(multiprocessing.Process):

    def run(self):
        print('当前进程',multiprocessing.current_process())


def run():
    p1 = MyProcess()
    p1.start()

    p2 = MyProcess()
    p2.start()

if __name__ == '__main__':
    run()

2.进程间数据共享:   (multiprocessing.Queue    ,      Manager)