Posted in Python onOctober 21, 2019
本文实例讲述了python多进程(加入进程池)操作。分享给大家供大家参考,具体如下:
一、多进程复制多个文件
import multiprocessing import os import time # 复制文件,传入文件名 def copy_file(old_file_name, old_name): new_file_name = 'new_file' new_name = old_name if not os.path.exists(new_file_name): os.makedirs(new_file_name) with open(old_file_name + '/' + old_name, 'rb') as f: file_content = f.read() with open(new_file_name + '/' + new_name, 'wb') as f: f.write(file_content) if __name__ == '__main__': old_file_name = 'old_file' name_list = os.listdir(old_file_name) time_old = time.time() for name in name_list: process = multiprocessing.Process(target=copy_file, args=(old_file_name, name)) process.start() time_new = time.time() print('执行时间:%f' % (time_new - time_old))
二、优化加入进程池,并显示复制进度:
import multiprocessing import os import time # 复制文件,传入文件名 def copy_file(old_file_name, old_name, queue): new_file_name = 'new_file' new_name = old_name if not os.path.exists(new_file_name): os.makedirs(new_file_name) with open(old_file_name + '/' + old_name, 'rb') as f: file_content = f.read() with open(new_file_name + '/' + new_name, 'wb') as f: f.write(file_content) queue.put(new_file_name) if __name__ == '__main__': old_file_name = 'old_file' #存放文件的文件名 name_list = os.listdir(old_file_name) #取出所有文件的文件名 queue = multiprocessing.Manager().Queue() #创建队列对象,用于计算复制完成百分比 po = multiprocessing.Pool(3) #创建线程池 time_old = time.time() #用于计算花费时间 for name in name_list: po.apply_async(copy_file, (old_file_name, name, queue)) po.close() index = 0 while True: index += 1 queue.get() print('\r以保存%.2f%%' % ((index / len(name_list)) * 100), end='') if index == len(name_list): break time_new = time.time() print('执行时间:%f' % (time_new - time_old))
三、多进程聊天器:
import multiprocessing import socket import threading # 需求: # 1.主进程创建一个TCPconnect # 2.主进程connect后创建进程开启一个新的Socketconnect # 3.进程里创建线程不断的接收和提示发送消息 # 有连接时新创建一个进程处理聊天 def speak_send(tcp_msg): while True: test = input('请输入要发送的消息') tcp_msg.send(test.encode('utf-8')) def speak_rec(tcp_msg): while True: print(tcp_msg.recv(1024).decode('gbk')) # 开启的进程聊天 def speak_process(tcp_sock, tcp_msg, ip): print('开启进程') # 5.开线程循环接收消息 msg_rec = threading.Thread(target=speak_rec, args=(tcp_msg,)) # print(tcp_msg.recv(1024).decode('gbk')) # 6.开线程循环发送消息 msg_send = threading.Thread(target=speak_send, args=(tcp_msg,)) msg_rec.start() msg_send.start() msg_rec.join() msg_send.join() # 7.关闭 # tcp_msg.close() def main(): # 1创建TCP对象 tcp_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # 2.绑定ip和端口 tcp_sock.bind(('', 9999)) # 3.改主动为被动 tcp_sock.listen(128) # 4.accept接收msg和ip while True: tcp_msg, ip = tcp_sock.accept() process = multiprocessing.Process(target=speak_process, args=(tcp_sock, tcp_msg, ip)) process.start() if __name__ == '__main__': main()
希望本文所述对大家Python程序设计有所帮助。
python多进程(加入进程池)操作常见案例
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