Python入门学习-DAY37-进程池与线程池协程gevent模块
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一、进程池与线程池
基本使用:
进程池和线程池操作一样
提交任务的两种方式:
同步调用:提交完一个任务之后,就在原地等待,等待任务完完整整地运行完毕拿到结果后,再执行下一行代码,会导致任务是串行执行的
异步调用:提交完一个任务之后,不在原地等待,结果???,而是直接执行下一行代码,会导致任务是并发执行的
同步调用
from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor import time,random,os def task(): print(‘%s is running‘%os.getpid()) i=random.randint(1,3) time.sleep(i) return i if __name__ == ‘__main__‘: p=ProcessPoolExecutor(4) l=[] for i in range(10): res = p.submit(task).result()#等待任务执行完毕,返回结果 print(res) print(‘主‘)
异步调用
from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor import time,random,os def task(): print(‘%s is running‘%os.getpid()) i=random.randint(1,3) time.sleep(i) return i if __name__ == ‘__main__‘: p=ProcessPoolExecutor(4) l=[] for i in range(10): future=p.submit(task)#只替提交任务 l.append(future) p.shutdown(wait=True)#关闭进程池入口,并在原地等待所有进程任务执行完毕 for i in l: print(i.result()) print(‘主‘)
异步 + 回调函数
from concurrent.futures import ProcessPoolExecutor import time,os import requests def get(url): print(‘%s GET %s‘ %(os.getpid(),url)) time.sleep(3) response=requests.get(url) if response.status_code == 200: res=response.text else: res=‘下载失败‘ return res def parse(future): time.sleep(1) res=future.result() print(‘%s 解析结果为%s‘ %(os.getpid(),len(res))) if __name__ == ‘__main__‘: urls=[ ‘https://www.baidu.com‘, ‘https://www.sina.com.cn‘, ‘https://www.tmall.com‘, ‘https://www.jd.com‘, ‘https://www.python.org‘, ‘https://www.openstack.org‘, ‘https://www.baidu.com‘, ‘https://www.baidu.com‘, ‘https://www.baidu.com‘, ] p=ProcessPoolExecutor(9) start=time.time() for url in urls: future=p.submit(get,url) future.add_done_callback(parse) #parse会在任务运行完毕后自动触发,然后接收一个参数future对象,回调函数的执行是在主进程里,而线程中的回调函数是由空闲的线程来执行 p.shutdown(wait=True) print(‘主‘,time.time()-start) print(‘主‘,os.getpid())
基于线程池的套接字通讯
服务端
from concurrent.futures import ThreadPoolExecutor import socket from threading import current_thread IP=‘127.0.0.1‘ PORT=8085 ADDRESS=(IP,PORT) BUFFSIZE=1024 t = ThreadPoolExecutor(4) def communicate(conn,addr): while True: try: data=conn.recv(BUFFSIZE) if not data: print(‘%s客户端断开....‘%addr) break print(‘>>>>%s 端口:%s 线程:%s‘%(data.decode(‘utf-8‘),addr[1],current_thread().name)) conn.send(data.upper()) except ConnectionResetError: break conn.close() if __name__ == ‘__main__‘: server = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server.bind(ADDRESS) server.listen(2) print(current_thread().name) while True: conn,addr=server.accept() t.submit(communicate, conn,addr)
客户端
import socket IP=‘127.0.0.1‘ PORT=8085 ADDRESS=(IP,PORT) BUFFSIZE=1024 client=socket.socket(socket.AF_INET,socket.SOCK_STREAM) client.connect(ADDRESS) while True: msg=input(‘>>>>‘).strip() if len(msg)==0:continue if msg==‘q‘:break client.send(msg.encode(‘utf-8‘)) data = client.recv(BUFFSIZE) print(data.decode(‘utf-8‘)) client.close()
二、协程
1. 目标:
在线程下实现并发
并发(多个任务看起来是同时执行就是并发):切换+保存状态
2. 协程:
协程是单线程实现并发
注意:协程是程序员意淫出来的东西,操作系统里只有进程和线程的概念(操作系统调度的是线程)
在单线程下实现多个任务间遇到IO就切换就可以降低单线程的IO时间,从而最大限度地提升单线程的效率
串行执行
import time def func1(): for i in range(10000000): i+1 def func2(): for i in range(10000000): i+1 start = time.time() func1() func2() stop = time.time() print(stop - start)#1.9774692058563232s
基于yield并发执行
import time def func1(): while True: print(‘func1‘) yield def func2(): g=func1() for i in range(1000): print(‘func2‘) i+1 next(g) start=time.time() func2() stop=time.time() print(stop-start)#0.014994382858276367s
三、gevent模块
1.使用
from gevent import monkey;monkey.patch_all()#用来识别IO阻塞,必须放到文件头 from gevent import spawn,joinall import time def foo1(name): print(‘%s play1‘%name) time.sleep(2)#模拟IO操作,遇到IO切换任务 print(‘%s play2‘%name) def foo2(name): print(‘%s eat1‘%name) time.sleep(3)#模拟IO操作,遇到IO切换任务 print(‘%s eat2‘%name) f1=spawn(foo1,‘egon‘)#提交任务 f2=spawn(foo2,‘egon‘)#提交任务 joinall([f1,f2])#主线程等待任务完成 print(‘主‘) #结果: #egon play1 #egon eat1 #egon play2 #egon eat2 #主
2.基于gevent的套接字通信
服务端
from gevent import monkey;monkey.patch_all() from gevent import spawn import socket from threading import current_thread IP=‘127.0.0.1‘ PORT=8086 ADDRESS=(IP,PORT) BUFFSIZE=1024 def communicate(conn,addr): while True: try: data=conn.recv(BUFFSIZE) if not data: print(‘%s客户端断开....‘%addr) break conn.send(data.upper()) except ConnectionResetError: break def server(): server = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server.bind(ADDRESS) server.listen(2) print(current_thread().name) while True: conn,addr=server.accept() spawn(communicate,conn,addr) if __name__ == ‘__main__‘: s1=spawn(server) s1.join()
多个客户端并发
import socket from threading import Thread,current_thread IP = ‘127.0.0.1‘ PORT = 8086 ADDRESS = (IP, PORT) BUFFSIZE = 1024 def client(): client=socket.socket(socket.AF_INET,socket.SOCK_STREAM) client.connect(ADDRESS) n=0 while True: msg=‘%s say hello %s‘ %(current_thread().name,n) n+=1 client.send(msg.encode(‘utf-8‘)) data=client.recv(BUFFSIZE) print(data.decode(‘utf-8‘)) if __name__ == ‘__main__‘: for i in range(500): t=Thread(target=client) t.start()
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