python2，socket多进程的错误pickle.PicklingError: Can't pickle <built-in method recvfrom_into of _socket.soc

源码：

#coding:utf-8
import socket
import pickle
from multiprocessing import Process

HTML_ROOT_DIR = ""
def handle_client(client_socket):
"""处理客户端请求"""
# 获取客户端请求数据
request_data = client_socket.recv(1024)
print("request data:",request_data)

# 构造响应数据
response_start_line = "HTTP/1.1 200 OK\r\n"
response_headers = "Server:My server\r\n"
response_body = "hello lijizne"
response = response_start_line + response_headers + "\r\n" + response_body
print("response data:",response)

# 向客户端返回响应数据
client_socket.send(response)

# 关闭客户端
client_socket.close()

if __name__ == "__main__":
server_socket = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
server_socket.bind(("",8000))
server_socket.listen(128)

while True:
client_socket,client_address = server_socket.accept()
# print("[%s, %s]用户连接上了" % (client_address[0],client_address[1]))
print("[%s, %s]用户连接上了" % client_address)
handle_client_process = Process(target=handle_client,args=(client_socket,))
handle_client_process.start()
client_socket.close()

报错：

Traceback (most recent call last):

  File "F:/pythontest/pythonsocket/01_static_web_server.py", line 37, in <module>

    handle_client_process.start()

  File "E:\Python2\lib\multiprocessing\process.py", line 130, in start

    self._popen = Popen(self)

  File "E:\Python2\lib\multiprocessing\forking.py", line 277, in __init__

    dump(process_obj, to_child, HIGHEST_PROTOCOL)

  File "E:\Python2\lib\multiprocessing\forking.py", line 199, in dump

    ForkingPickler(file, protocol).dump(obj)

  File "E:\Python2\lib\pickle.py", line 224, in dump

    self.save(obj)

  File "E:\Python2\lib\pickle.py", line 331, in save

    self.save_reduce(obj=obj, *rv)

  File "E:\Python2\lib\pickle.py", line 419, in save_reduce

    save(state)

  File "E:\Python2\lib\pickle.py", line 286, in save

    f(self, obj) # Call unbound method with explicit self

  File "E:\Python2\lib\pickle.py", line 649, in save_dict

    self._batch_setitems(obj.iteritems())

  File "E:\Python2\lib\pickle.py", line 681, in _batch_setitems

    save(v)

  File "E:\Python2\lib\pickle.py", line 286, in save

    f(self, obj) # Call unbound method with explicit self

  File "E:\Python2\lib\pickle.py", line 548, in save_tuple

    save(element)

  File "E:\Python2\lib\pickle.py", line 331, in save

    self.save_reduce(obj=obj, *rv)

  File "E:\Python2\lib\pickle.py", line 419, in save_reduce

    save(state)

  File "E:\Python2\lib\pickle.py", line 286, in save

    f(self, obj) # Call unbound method with explicit self

  File "E:\Python2\lib\pickle.py", line 548, in save_tuple

    save(element)

  File "E:\Python2\lib\pickle.py", line 286, in save

    f(self, obj) # Call unbound method with explicit self

  File "E:\Python2\lib\pickle.py", line 649, in save_dict

    self._batch_setitems(obj.iteritems())

  File "E:\Python2\lib\pickle.py", line 681, in _batch_setitems

    save(v)

  File "E:\Python2\lib\pickle.py", line 286, in save

    f(self, obj) # Call unbound method with explicit self

  File "E:\Python2\lib\pickle.py", line 748, in save_global

    (obj, module, name))

pickle.PicklingError: Can't pickle <built-in method recvfrom_into of _socket.socket object at 0x0000000002562370>: it's not found as __main__.recvfrom_into

解决：

在stackoverflow上找到了答案，是因为windows操作系统的原因，在Windows中，多进程multiprocessing使用的是序列化pickle来在多进程之间转移数据，而socket对象是不能被序列化的，但是在linux操作系统上却没问题，因为在linux上多进程multiprocessing使用的是fork，所以在windows上可以改用多线程。因为网络通信属于io密集型的操作，对cpu计算要求不高，不用多进程，用多线程就行。

参考资料：
https://stackoverflow.com/questions/33064982/how-can-i-shred-socket-object-over-python-multiprocess-it-raises-eoferror https://github.com/dpkp/kafka-python/issues/46 https://docs.python.org/2/library/multiprocessing.html#windows