python线程池(threadpool)模块使用笔记
一、安装与简介
pip install threadpool
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,表示最多可以创建poolsize这么多线程;
第二行是调用makeRequests创建了要开启多线程的函数,以及函数相关参数和回调函数,其中回调函数可以不写,default是无,也就是说makeRequests只需要2个参数就可以运行;
第三行用法比较奇怪,是将所有要运行多线程的请求扔进线程池,[pool.putRequest(req) for req in requests]等同于
for req in requests:
pool.putRequest(req)
第四行是等待所有的线程完成工作后退出。
二、代码实例
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
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情况,函数调用时第一个解包list,第二个解包dict,所以可以这样:
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()
需要把所传入的参数进行转换,然后带人线程池。
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
