Python 线程池的实现

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1. import urllib2  
2. import time  
3. import socket  
4. from datetime import datetime  
5. from thread_pool import *  
6.    
7. def main():  
8.     url_list = {"sina":"http://www.sina.com.cn",  
9.                "sohu":"http://www.sohu.com",  
10.                "yahoo":"http://www.yahoo.com",  
11.                "xiaonei":"http://www.xiaonei.com",  
12.                "qihoo":"http://www.qihoo.com",  
13.                "laohan":"http://www.laohan.org",  
14.                "eyou":"http://www.eyou.com",  
15.                "chinaren":"http://www.chinaren.com",  
16.                "douban":"http://www.douban.com",  
17.                "163":"http://www.163.com",  
18.                "daqi":"http://www.daqi.com",  
19.                "qq":"http://www.qq.com",  
20.                "baidu_1":"http://www.baidu.com/s?wd=asdfasdf",  
21.                "baidu_2":"http://www.baidu.com/s?wd=dddddddf",  
22.                "google_1":"http://www.baidu.com/s?wd=sadfas",  
23.                "google_2":"http://www.baidu.com/s?wd=sadflasd",  
24.                "hainei":"http://www.hainei.com",  
25.                "microsoft":"http://www.microsoft.com",  
26.                "wlzuojia":"http://www.wlzuojia.com"}  
27.    
28.     #使用线程池  
29.     socket.setdefaulttimeout(10)  
30.     print ‘start testing‘  
31.     wm = WorkerManager(50)  
32.     for url_name in url_list.keys():  
33.         wm.add_job(do_get_con, url_name, url_list[url_name])  
34.     wm.wait_for_complete()  
35.     print ‘end testing‘  
36.    
37. def do_get_con(url_name,url_link):  
38.     try:  
39.         fd = urllib2.urlopen(url_link)  
40.         data = fd.read()  
41.         f_hand = open("/tmp/ttt/%s" % url_name,"w")  
42.         f_hand.write(data)  
43.         f_hand.close()  
44.     except Exception,e:  
45.         pass  
46.    
47. if __name__ == "__main__":  
48.     main()  
49. thread_pool的代码（非原创，转自：http://blog.daviesliu.net/2006/10/09/234822/）  
50.   
51. import Queue, threading, sys  
52. from threading import Thread  
53. import time  
54. import urllib  
55.    
56. # working thread  
57. class Worker(Thread):  
58.     worker_count = 0  
59.     timeout = 1  
60.     def __init__( self, workQueue, resultQueue, **kwds):  
61.         Thread.__init__( self, **kwds )  
62.         self.id = Worker.worker_count  
63.         Worker.worker_count += 1  
64.         self.setDaemon( True )  
65.         self.workQueue = workQueue  
66.         self.resultQueue = resultQueue  
67.         self.start( )  
68.    
69.     def run( self ):  
70.         ‘‘‘‘‘ the get-some-work, do-some-work main loop of worker threads ‘‘‘  
71.         while True:  
72.             try:  
73.                 callable, args, kwds = self.workQueue.get(timeout=Worker.timeout)  
74.                 res = callable(*args, **kwds)  
75.                 print "worker[%2d]: %s" % (self.id, str(res) )  
76.                 self.resultQueue.put( res )  
77.                 #time.sleep(Worker.sleep)  
78.             except Queue.Empty:  
79.                 break  
80.             except :  
81.                 print ‘worker[%2d]‘ % self.id, sys.exc_info()[:2]  
82.                 raise  
83.                  
84. class WorkerManager:  
85.     def __init__( self, num_of_workers=10, timeout = 2):  
86.         self.workQueue = Queue.Queue()  
87.         self.resultQueue = Queue.Queue()  
88.         self.workers = []  
89.         self.timeout = timeout  
90.         self._recruitThreads( num_of_workers )  
91.    
92.     def _recruitThreads( self, num_of_workers ):  
93.         for i in range( num_of_workers ):  
94.             worker = Worker( self.workQueue, self.resultQueue )  
95.             self.workers.append(worker)  
96.    
97.     def wait_for_complete( self):  
98.         # ...then, wait for each of them to terminate:  
99.         while len(self.workers):  
100.             worker = self.workers.pop()  
101.             worker.join( )  
102.             if worker.isAlive() and not self.workQueue.empty():  
103.                 self.workers.append( worker )  
104.         print "All jobs are are completed."  
105.    
106.     def add_job( self, callable, *args, **kwds ):  
107.         self.workQueue.put( (callable, args, kwds) )  
108.    
109.     def get_result( self, *args, **kwds ):  
110.         return self.resultQueue.get( *args, **kwds )  

Python 线程池的实现

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原文地址：http://www.cnblogs.com/skying555/p/4499565.html