I'm trying to implement a tcp 'echo server'. Simple stuff:
It worked well, so I decided to parallelize the server; make it so that it could handle multiple clients at time. Since most Python interpreters have a GIL, multithreading won't cut it. I had to use multiproces... And boy, this is where things went downhill.
I'm using Windows 10 x64 and the WinPython suit with Python 3.5.2 x64.
My idea is to create a socket, intialize it (bind and listen), create sub processes and pass the socket to the children. But for the love of me... I can't make this work, my subprocesses die almost instantly. Initially I had some issues 'pickling' the socket... So I googled a bit and thought this was the issue. So I tried passing my socket thru a multiprocessing queue, through a pipe and my last attempt was 'forkpickling' and passing it as a bytes object during the processing creating. Nothing works.
Can someone please shed some light here? Tell me whats wrong? Maybe the whole idea (sharing sockets) is bad... And if so, PLEASE tell me how can I achieve my initial objective: enabling my server to ACTUALLY handle multiple clients at once (on Windows) (don't tell me about threading, we all know python's threading won't cut it ¬¬)
It also worth noting that no files are create by the debug function. No process lived long enough to run it, I believe.
The typical output of my server code is (only difference between runs is the process numbers):
Server is running...
Degree of parallelism: 4
Socket created.
Socket bount to: ('', 0)
Process 3604 is alive: True
Process 5188 is alive: True
Process 6800 is alive: True
Process 2844 is alive: True
Press ctrl+c to kill all processes.
Process 3604 is alive: False
Process 3604 exit code: 1
Process 5188 is alive: False
Process 5188 exit code: 1
Process 6800 is alive: False
Process 6800 exit code: 1
Process 2844 is alive: False
Process 2844 exit code: 1
The children died...
Why god?
WHYYyyyyy!!?!?!?
The server code:
# Imports
import socket
import packet
import sys
import os
from time import sleep
import multiprocessing as mp
import pickle
import io
# Constants
DEGREE_OF_PARALLELISM = 4
DEFAULT_HOST = ""
DEFAULT_PORT = 0
def _parse_cmd_line_args():
arguments = sys.argv
if len(arguments) == 1:
return DEFAULT_HOST, DEFAULT_PORT
else:
raise NotImplemented()
def debug(data):
pid = os.getpid()
with open('C:\\Users\\Trauer\\Desktop\\debug\\'+str(pid)+'.txt', mode='a',
encoding='utf8') as file:
file.write(str(data) + '\n')
def handle_connection(client):
client_data = client.recv(packet.MAX_PACKET_SIZE_BYTES)
debug('received data from client: ' + str(len(client_data)))
response = client_data.upper()
client.send(response)
debug('sent data from client: ' + str(response))
def listen(picklez):
debug('started listen function')
pid = os.getpid()
server_socket = pickle.loads(picklez)
debug('acquired socket')
while True:
debug('Sub process {0} is waiting for connection...'.format(str(pid)))
client, address = server_socket.accept()
debug('Sub process {0} accepted connection {1}'.format(str(pid),
str(client)))
handle_connection(client)
client.close()
debug('Sub process {0} finished handling connection {1}'.
format(str(pid),str(client)))
if __name__ == "__main__":
# Since most python interpreters have a GIL, multithreading won't cut
# it... Oughta bust out some process, yo!
host_port = _parse_cmd_line_args()
print('Server is running...')
print('Degree of parallelism: ' + str(DEGREE_OF_PARALLELISM))
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
print('Socket created.')
server_socket.bind(host_port)
server_socket.listen(DEGREE_OF_PARALLELISM)
print('Socket bount to: ' + str(host_port))
buffer = io.BytesIO()
mp.reduction.ForkingPickler(buffer).dump(server_socket)
picklez = buffer.getvalue()
children = []
for i in range(DEGREE_OF_PARALLELISM):
child_process = mp.Process(target=listen, args=(picklez,))
child_process.daemon = True
child_process.start()
children.append(child_process)
while not child_process.pid:
sleep(.25)
print('Process {0} is alive: {1}'.format(str(child_process.pid),
str(child_process.is_alive())))
print()
kids_are_alive = True
while kids_are_alive:
print('Press ctrl+c to kill all processes.\n')
sleep(1)
exit_codes = []
for child_process in children:
print('Process {0} is alive: {1}'.format(str(child_process.pid),
str(child_process.is_alive())))
print('Process {0} exit code: {1}'.format(str(child_process.pid),
str(child_process.exitcode)))
exit_codes.append(child_process.exitcode)
if all(exit_codes):
# Why do they die so young? :(
print('The children died...')
print('Why god?')
print('WHYYyyyyy!!?!?!?')
kids_are_alive = False
edit: fixed the signature of "listen". My processes still die instantly.
edit2: User cmidi pointed out that this code does work on Linux; so my question is: How can I 'made this work' on Windows?
The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Due to this, the multiprocessing module allows the programmer to fully leverage multiple processors on a given machine. It runs on both Unix and Windows.
An excellent solution is to use multiprocessing, rather than multithreading, where work is split across separate processes, allowing the operating system to manage access to shared resources. This also gets around one of the notorious Achilles Heels in Python: the Global Interpreter Lock (aka theGIL).
Multiprocessing is a easier to just drop in than threading but has a higher memory overhead. If your code is CPU bound, multiprocessing is most likely going to be the better choice—especially if the target machine has multiple cores or CPUs.
2-Use Cases for Multiprocessing: Multiprocessing outshines threading in cases where the program is CPU intensive and doesn't have to do any IO or user interaction. Show activity on this post. Process may have multiple threads. These threads may share memory and are the units of execution within a process.
You can directly pass a socket to a child process. multiprocessing registers a reduction for this, for which the Windows implementation uses the following DupSocket
class from multiprocessing.resource_sharer
:
class DupSocket(object):
'''Picklable wrapper for a socket.'''
def __init__(self, sock):
new_sock = sock.dup()
def send(conn, pid):
share = new_sock.share(pid)
conn.send_bytes(share)
self._id = _resource_sharer.register(send, new_sock.close)
def detach(self):
'''Get the socket. This should only be called once.'''
with _resource_sharer.get_connection(self._id) as conn:
share = conn.recv_bytes()
return socket.fromshare(share)
This calls the Windows socket share
method, which returns the protocol info buffer from calling WSADuplicateSocket
. It registers with the resource sharer to send this buffer over a connection to the child process. The child in turn calls detach
, which receives the protocol info buffer and reconstructs the socket via socket.fromshare
.
It's not directly related to your problem, but I recommend that you redesign the server to instead call accept
in the main process, which is the way this is normally done (e.g. in Python's socketserver.ForkingTCPServer
module). Pass the resulting (conn, address)
tuple to the first available worker over a multiprocessing.Queue
, which is shared by all of the workers in the process pool. Or consider using a multiprocessing.Pool
with apply_async
.
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