python多进程实现数据共享的示例代码

Process（[group [, target [, name [, args [, kwargs]]]]]）

from multiprocessing import Process
num=1
def work1():
    global num
    num+=5
    print('子进程1运行，num:',num)

def work2():
    global num
    num += 10
    print('子进程2运行，num：',num)


if __name__=='__main__':
    print('父进程开始运行')
    p1=Process(target=work1)
    p2=Process(target=work2)
    p1.start()
    p2.start()
    p1.join()
    p2.join()

import multiprocessing


def func(num):
    num.value = 2  


if __name__ == "__main__":
    num = multiprocessing.Value("d", 1) 
    p = multiprocessing.Process(target=func, args=(num,))
    p.start()
    p.join()

# 多进程中，同一个变量，各自有一份拷贝存在于每个进程中， 互不影响;
    # 多线程中，所有变量都由所有线程共享，任何一个变量都可以被任何一个线程修改.
    # multiprocessing.Manager()实现多进程中的数据共享
    RESULT_TIMEPARAM = multiprocessing.Manager().list()
    RESULT_REPORT_NAME_LIST = multiprocessing.Manager().list()
    RESULT_TUPLE_LIST = multiprocessing.Manager().list()
    devices_pool = []
    for tmp_udid in ConfigData().mobile_data().keys():
        devices_pool.appe编程nd(multiprocessing.Process(target=run_testcase, args=(tmp_udid,RESULT_TIMEPARAM,RESULT_REPORT_NAME_LIST,
                                                                               RESULT_TUPLE_LIST )))

    for devices_udid in devices_pool:
        devices_udid.start()

    for devices_udid in devices_pool:
        devices_udid.join()