公认答案中提供的例子给出了它的要点,但您也可以通过使用
zmq.device
对于代理,同时在其他方面坚持来自的“Extended Request Reply”模式
the guide
因此,服务器的hello-worldy示例可能如下所示:
import time
import threading
import zmq
context = zmq.Context()
def worker():
socket = context.socket(zmq.REP)
socket.connect('inproc://workers')
while True:
msg = socket.recv_string()
print(f'Received request: [{msg}]')
time.sleep(1)
socket.send_string(msg)
url_client = 'tcp://*:5556'
clients = context.socket(zmq.ROUTER)
clients.bind(url_client)
workers = context.socket(zmq.DEALER)
workers.bind('inproc://workers')
for _ in range(4):
thread = threading.Thread(target=worker)
thread.start()
zmq.device(zmq.QUEUE, clients, workers)
在这里,我们让四个工作人员并行处理传入请求。现在,您在客户端使用Node,但为了保持示例的完整性,可以使用下面的Python客户端来查看这一点。在这里,我们创建了10个请求,然后将分3批处理:
import zmq
import threading
context = zmq.Context()
def make_request(a):
socket = context.socket(zmq.REQ)
socket.connect('tcp://localhost:5556')
print(f'Sending request {a} ...')
socket.send_string(str(a))
message = socket.recv_string()
print(f'Received reply from request {a} [{message}]')
for a in range(10):
thread = threading.Thread(target=make_request, args=(a,))
thread.start()