Python中的进程间通信
8 个回答
34
根据@vsekhar的回答,这里有一个Python 3的版本,包含更多细节和多个连接的示例:
服务器
from multiprocessing.connection import Listener
listener = Listener(('localhost', 6000), authkey=b'secret password')
running = True
while running:
conn = listener.accept()
print('connection accepted from', listener.last_accepted)
while True:
msg = conn.recv()
print(msg)
if msg == 'close connection':
conn.close()
break
if msg == 'close server':
conn.close()
running = False
break
listener.close()
客户端
from multiprocessing.connection import Client
import time
# Client 1
conn = Client(('localhost', 6000), authkey=b'secret password')
conn.send('foo')
time.sleep(1)
conn.send('close connection')
conn.close()
time.sleep(1)
# Client 2
conn = Client(('localhost', 6000), authkey=b'secret password')
conn.send('bar')
conn.send('close server')
conn.close()
61
不,zeromq 是个不错的选择。听起来很不错,对吧?
import argparse
import zmq
parser = argparse.ArgumentParser(description='zeromq server/client')
parser.add_argument('--bar')
args = parser.parse_args()
if args.bar:
# client
context = zmq.Context()
socket = context.socket(zmq.REQ)
socket.connect('tcp://127.0.0.1:5555')
socket.send(args.bar)
msg = socket.recv()
print msg
else:
# server
context = zmq.Context()
socket = context.socket(zmq.REP)
socket.bind('tcp://127.0.0.1:5555')
while True:
msg = socket.recv()
if msg == 'zeromq':
socket.send('ah ha!')
else:
socket.send('...nah')
197
multiprocessing
库提供了一些功能,可以让你在程序中同时运行多个任务。这个库里有一些叫做监听器和客户端的东西,它们可以处理网络连接,让你可以传递任意的Python对象。
你的服务器可以设置为监听,接收Python对象:
from multiprocessing.connection import Listener
address = ('localhost', 6000) # family is deduced to be 'AF_INET'
listener = Listener(address, authkey=b'secret password')
conn = listener.accept()
print 'connection accepted from', listener.last_accepted
while True:
msg = conn.recv()
# do something with msg
if msg == 'close':
conn.close()
break
listener.close()
你的客户端可以把命令作为对象发送出去:
from multiprocessing.connection import Client
address = ('localhost', 6000)
conn = Client(address, authkey=b'secret password')
conn.send('close')
# can also send arbitrary objects:
# conn.send(['a', 2.5, None, int, sum])
conn.close()