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 timeimport 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)

 

三、加锁

 

import threadpool,threading mutex =threading.Lock()

def run_get_fusion_mongo_result(doc_id):     global temp_result     print doc_id     db_facetValues=get_organization_facet_count(doc_id)     db_facetValues.sort()     print 'db_facetValues',db_facetValues     fusion_facetValues=get_fusion_data(doc_id)     fusion_facetValues.sort()     print 'fusion_facetValues',fusion_facetValues     diff = list(set(db_facetValues).difference(set(fusion_facetValues)))     temp_result_docid = {}     if diff:         temp_result_docid['PublicationId'] = doc_id         temp_result_docid['Diff_Facets'] = diff     if mutex.acquire(1):         if temp_result_docid:             temp_result.append(temp_result_docid)         mutex.release()