进程间实现数据共享的三种方式

1.Queue:

-linux:

q = multiprocessing.Queue()
def task(arg,q):
    q.put(arg)
def run():
    for i in range(10):
        p = multiprocessing.Process(target=task, args=(i, q,))
        p.start()
    while True:
        v = q.get()
        print(v)
run()

-windows:

import multiprocessing
def task(arg,q):
    q.put(arg)
if __name__ == '__main__':
    q = multiprocessing.Queue()
    for i in range(10):
        p = multiprocessing.Process(target=task,args=(i,q,))
        p.start()
    while True:
        v = q.get()
        print(v)

2.Manager:（*）
-Linux:

m = multiprocessing.Manager()
dic = m.dict()
def task(arg):
    dic[arg] = 100
def run():
    for i in range(10):
        p = multiprocessing.Process(target=task, args=(i,))
        p.start()
    input('>>>')
    print(dic.values())                 
if __name__ == '__main__':                  
    run()

-windows:

import time
import multiprocessing
def task(arg, dic):
    time.sleep(2)
    dic[arg] = 100
if __name__ == '__main__':
    m = multiprocessing.Manager()
    dic = m.dict()
    process_list = []
    for i in range(10):
        p = multiprocessing.Process(target=task, args=(i, dic,))
        p.start()
        process_list.append(p)
    while True:
        count = 0
        for p in process_list:
            if not p.is_alive():
                count += 1
        if count == len(process_list):
            break
    print(dic)

3.其他电脑

def task(arg,dic):
    pass

if __name__ == '__main__':
    while True:
        # 连接上指定的服务器
        # 去机器上获取url
        url = 'adfasdf'
        p = multiprocessing.Process(target=task, args=(url,))
        p.start()