我试图创建线程池来同时对传入的tcp包执行一些操作。在

我在python3中找不到任何内置线程池。我也读了一些关于multiprocessing.Pool的文章，但是它不支持内存共享。所以我使用Queue来模拟线程池。在

为每个线程创建一个队列是否更好？

有没有人有建议或更好的解决方案来改进以下自定义线程池代码？在import socketserver

import threading

from queue import Queue

class ThreadPool:

tcp_queue = Queue()

# redis = redis connection

def __init__(self, thread_worker_numbers=10):

for i in range(thread_worker_numbers):

threading.Thread(target=self.worker).start()

def worker(self):

while True:

packet = self.tcp_queue.get()

print('thread: %s received packet: %s' % (threading.current_thread().getName(), packet))

# TODO do process on packet

def queue(self, packet):

self.tcp_queue.put(packet)

def queue_count(self):

return self.tcp_queue.qsize()

class TCPServerHandler(socketserver.BaseRequestHandler):

thread_pool = ThreadPool()

def handle(self):

# self.request is the TCP socket connected to the client

self.data = self.request.recv(1024).strip()

packet = self.data.decode("utf-8")

print(packet)

self.thread_pool.queue(packet)

# print("%s wrote: %s" % (self.client_address[0], packet))

# just send back the same data, but upper-cased

self.request.sendall(bytes('{ok: 1, msg:""}', 'utf-8'))

if __name__ == "__main__":

HOST, PORT = "0.0.0.0", 9999

# Create the server, binding to localhost on port 9999

server = socketserver.TCPServer((HOST, PORT), TCPServerHandler)

# Activate the server; this will keep running until you

# interrupt the program with Ctrl-C

server.serve_forever()