1、安装与简介多线程
pip install threadpool app
pool = ThreadPool(poolsize) requests = makeRequests(some_callable, list_of_args, callback) [pool.putRequest(req) for req in requests] pool.wait()
第一行定义了一个线程池,表示最多能够建立poolsize这么多线程;函数
第二行是调用makeRequests建立了要开启多线程的函数,以及函数相关参数和回调函数,其中回调函数能够不写,default是无,也就是说makeRequests只须要2个参数就能够运行;spa
第三行用法比较奇怪,是将全部要运行多线程的请求扔进线程池,[pool.putRequest(req) for req in requests]等同于线程
for req in requests: code
pool.putRequest(req) blog
第四行是等待全部的线程完成工做后退出。ip
2、代码实例get
import time def sayhello(str): print "Hello ",str time.sleep(2) name_list =['xiaozi','aa','bb','cc'] start_time = time.time() for i in range(len(name_list)): sayhello(name_list[i]) print '%d second'% (time.time()-start_time)
改用线程池代码,花费时间更少,更效率回调函数
import time import threadpool def sayhello(str): print "Hello ",str time.sleep(2) name_list =['xiaozi','aa','bb','cc'] start_time = time.time() pool = threadpool.ThreadPool(10) requests = threadpool.makeRequests(sayhello, name_list) [pool.putRequest(req) for req in requests] pool.wait() print '%d second'% (time.time()-start_time)
当函数有多个参数的状况,函数调用时第一个解包list,第二个解包dict,因此能够这样:
def hello(m, n, o): """""" print "m = %s, n = %s, o = %s"%(m, n, o) if __name__ == '__main__': # 方法1 lst_vars_1 = ['1', '2', '3'] lst_vars_2 = ['4', '5', '6'] func_var = [(lst_vars_1, None), (lst_vars_2, None)] # 方法2 dict_vars_1 = {'m':'1', 'n':'2', 'o':'3'} dict_vars_2 = {'m':'4', 'n':'5', 'o':'6'} func_var = [(None, dict_vars_1), (None, dict_vars_2)] pool = threadpool.ThreadPool(2) requests = threadpool.makeRequests(hello, func_var) [pool.putRequest(req) for req in requests] pool.wait()
须要把所传入的参数进行转换,而后带人线程池。
def getuserdic(): username_list=['xiaozi','administrator'] password_list=['root','','abc123!','123456','password','root'] userlist = [] for username in username_list: user =username.rstrip() for password in password_list: pwd = password.rstrip() userdic ={} userdic['user']=user userdic['pwd'] = pwd tmp=(None,userdic) userlist.append(tmp) return userlist