Python Sharing a network socket with multiprocessi

I am currently writing a nginx proxy server module with a Request queue in front, so the requests are not dropped when the servers behind the nginx can't handle the requests (nginx is configured as a load balancer).

I am using

from BaseHTTPServer import HTTPServer, BaseHTTPRequestHandler

The idea is to put the request in a queue before handling them. I know multiprocessing.Queue supports only simple object and cannot support raw sockets, so I tried using a multiprocess.Manager to make a shared dictionary. The Manager also uses sockets for connection, so this method failed too. Is there a way to share network sockets between processes? Here is the problematic part of the code:

class ProxyServer(Threader, HTTPServer):

    def __init__(self, server_address, bind_and_activate=True):
        HTTPServer.__init__(self, server_address, ProxyHandler,
                bind_and_activate)

        self.manager = multiprocessing.Manager()

        self.conn_dict = self.manager.dict()
        self.ticket_queue = multiprocessing.Queue(maxsize= 10)
        self._processes = []
        self.add_worker(5)


    def process_request(self, request, client):
        stamp = time.time()
        print "We are processing"

        self.conn_dict[stamp] = (request, client) # the program crashes here


    #Exception happened during processing of request from ('172.28.192.34', 49294)
    #Traceback (most recent call last):
    #  File "/usr/lib64/python2.6/SocketServer.py", line 281, in _handle_request_noblock
    #    self.process_request(request, client_address)
    #  File "./nxproxy.py", line 157, in process_request
    #    self.conn_dict[stamp] = (request, client)
    #  File "<string>", line 2, in __setitem__
    #  File "/usr/lib64/python2.6/multiprocessing/managers.py", line 725, in _callmethod
    #    conn.send((self._id, methodname, args, kwds))
    #TypeError: expected string or Unicode object, NoneType found

        self.ticket_queue.put(stamp)


    def add_worker(self, number_of_workers):
        for worker in range(number_of_workers):
            print "Starting worker %d" % worker
            proc = multiprocessing.Process(target=self._worker, args = (self.conn_dict,))
            self._processes.append(proc)
            proc.start()

    def _worker(self, conn_dict):
        while 1:
            ticket = self.ticket_queue.get()

            print conn_dict
            a=0
            while a==0:
                try:
                    request, client = conn_dict[ticket]
                    a=1
                except Exception:
                    pass
            print "We are threading!"
            self.threader(request, client)

回答1:

U can use multiprocessing.reduction to transfer the connection and socket objects between processes

Example Code

# Main process
from multiprocessing.reduction import reduce_handle
h = reduce_handle(client_socket.fileno())
pipe_to_worker.send(h)

# Worker process
from multiprocessing.reduction import rebuild_handle
h = pipe.recv()
fd = rebuild_handle(h)
client_socket = socket.fromfd(fd, socket.AF_INET, socket.SOCK_STREAM)
client_socket.send("hello from the worker process\r\n")

回答2:

Looks like you need to pass file descriptors between processes (assuming Unix here, no clue about Windows). I've never done this in Python, but here is link to python-passfd project that you might want to check.

回答3:

You can look at this code - https://gist.github.com/sunilmallya/4662837 which is multiprocessing.reduction socket server with parent processing passing connections to client after accepting connections