一个python多线程小例子:
我拿正常for循环 和 多线程 做时间对比:
import time
from urllib2 import urlopen
from multiprocessing.dummy import Pool as ThreadPool
"""
一个简单的多线程例子.
"""
urls = [
"http://www.python.org",
"http://www.python.org/about/",
"http://www.onlamp.com/pub/a/python/2003/04/17/metaclasses.html",
"http://www.python.org/doc/",
"http://www.python.org/download/",
"http://www.python.org/getit/",
"http://www.python.org/community/",
"https://wiki.python.org/moin/",
"http://planet.python.org/",
]
def for_loop():
start = time.time()
for url in urls:
urlopen(url)
print ("for loop time:%s" % (time.time()-start))
def thread_pool(pool_size):
start = time.time()
pool = ThreadPool(pool_size)
pool.map(urlopen, urls)
pool.close()
pool.join()
print ("thread pool time:%s" % (time.time()-start))
for_loop()
thread_pool(8)
可以看到,多线程消耗时间少很多---------------------->