多进程&多线程

• 服务端：多进程和多线程的开启方式相同。

• 缺点：<1> 由于Cpython的GIL，导致同一时间无法运行多个线程；<2> 不可能无限开进进程或线程

• 解决办法：多进程、concurrent.futures.ProcessPoolExecutor、线程池

import socket
from multiprocessing import Process
from threading import Thread


class MyTcpServer:
    def __init__(self, ip, port):
        self.ip = ip
        self.port = port
        self.server = socket.socket()
        self.server.bind((self.ip, self.port))
        self.server.listen(5)

    def wait_accept(self):
        conn, addr = self.server.accept()
        return conn, addr

    def handle_request(self, conn):
        while 1:
            try:
                data = conn.recv(1024)
                if not data: break
                conn.send(data.upper())
            except Exception as e:
                print(e)
                break
        conn.close()


if __name__ == \'__main__\':
    server = MyTcpServer(\'127.0.0.1\', 8888)
    while 1:
        conn, addr = server.wait_accept()
        p = Process(target=server.handle_request, args=(conn, ))	# 创建一个进程
        p.start()	# 告诉操作提供，开启这个进程

进程池&线程池

• 异步提交任务，支持异步接收返回结果(submit返回一个futures对象，调用add_done_callback方法)

import socket
from concurrent.futures import ProcessPoolExecutor
# from concurrent.futures import ThreadPoolExecutor


class MyTcpServer:
    def __init__(self, ip, port):
        self.ip = ip
        self.port = port
        self.server = socket.socket()
        self.server.bind((self.ip, self.port))
        self.server.listen(5)

    def wait_accept(self):
        conn, addr = self.server.accept()
        return conn, addr

    def handle_request(self, conn):
        while 1:
            try:
                data = conn.recv(1024)
                if not data: break
                conn.send(data.upper())
            except Exception as e:
                print(e)
                break
        conn.close()


if __name__ == \'__main__\':
    server = MyTcpServer(\'127.0.0.1\', 8888)
    pool = ProcessPoolExecutor(5)       # 5个进程一直服务

    while 1:
        conn, addr = server.wait_accept()
        pool.submit(server.handle_request, conn)	# 异步提交任务

socketserver

• 优点：简化socket服务端创建流程。
• 提供服务端串行和并发两种服务模式（TCPServer，ThreadingTCPServer）
• 缺点：windows上无法使用多进程实现并发

import socketserver


class MyTcpHandler(socketserver.BaseRequestHandler):
    def handle(self):		# 通信循环
        while 1:
            try:
                data = self.request.recv(1024)
                if not data: break
                self.request.send(data.upper())
            except Exception as e:
                print(e)
                break
        self.request.close()


if __name__ == \'__main__\':
    ip_port = \'127.0.0.1\', 8888
    server = socketserver.ThreadingTCPServer(ip_port, MyTcpHandler) # 异步处理 
    server.serve_forever()		# 连接循环

协程

优点：单线程内实现并发，代码级别模拟IO切换，提高程序运行效率

from gevent import spawn, monkey;monkey.patch_all()		# 猴子补丁，补丁:常规IO
import socket


class MyTcpServer:
    def __init__(self, ip, port, my_spawn):
        self.ip = ip
        self.port = port
        self.server = socket.socket()
        self.server.bind((self.ip, self.port))
        self.server.listen(5)
        self.spawn = my_spawn		# 保存spawn本地

    def wait_accept(self):
        while 1:
            conn, addr = self.server.accept()
            self.spawn(self.handle_request, conn)	# 检测 handle_request的io

    def handle_request(self, conn):
        while 1:
            try:
                data = conn.recv(1024)
                if not data: break
                conn.send(data.upper())
            except Exception as e:
                print(e)
                break
        conn.close()


if __name__ == \'__main__\':
    server = MyTcpServer(\'127.0.0.1\', 8888, spawn)
    g1 = server.spawn(server.wait_accept)	# 检测wait_accept的io
    g1.join()	# 等待g1运行结束，即一直在循环检测io