– Start同步队列from multiprocessing import Process, Queuedef producer(data):for i in range(10):# 发送消息,如果 Queue 满了,则阻塞msg = fmessage {i}data.put(msg)print(fsent {msg})# 发送 None,表...

– Start
同步队列
from multiprocessing import Process, Queue
def producer(data):
for i in range(10):
# 发送消息,如果 Queue 满了,则阻塞
msg = f'message {i}'
data.put(msg)
print(f'sent {msg}')
# 发送 None,表示消息发送完毕
data.put(None)
def consumer(data):
while True:
# 接收消息,如果 Queue 没有消息,则阻塞
msg = data.get()
if msg:
print(f'received {msg}')
else:
break
if __name__ == '__main__':
# Queue 大小为 1
data = Queue(1)
produce_thread = Process(target=producer, args=(data, ))
consume_thread = Process(target=consumer, args=(data, ))
produce_thread.start()
consume_thread.start()
管道
– 更多参见:Python 精萃
– 声 明:转载请注明出处
– Last Updated on 2018-10-14
– Written by ShangBo on 2018-10-14
– End
沃梦达教程
本文标题为:Python 进程交互


基础教程推荐
猜你喜欢
- centos系统 anaconda3(python3)安装pygrib 2023-09-04
- Centos7下安装python环境 2023-09-04
- 基于Python实现股票数据分析的可视化 2023-08-04
- Python 中 Elias Delta 编码详情 2023-08-08
- CentOS 7.5 安装 Python3.7 2023-09-03
- ubuntu 18 python3.6 的安装与 python2的版本切换 2023-09-03
- Python基础学习之函数和代码复用详解 2022-09-02
- python的环境conda简介 2022-10-20
- 四步教你学会打包一个新的Python模块 2022-10-20
- Python爬取当网书籍数据并数据可视化展示 2023-08-11