Python多线程并发访问网站性能测试示例

阿橙

发布时间：2026-10-13| 4人浏览过

原创

本文通过Python示例展示如何使用threading模块实现多并发访问网站的功能。代码包含对每次请求开始与结束时间的记录，计算单次耗时、总耗时、最大及最小响应时间，并统计超过1秒的请求次数。通过多线程并行执行，可评估网站在高并发场景下的性能表现及稳定性。

本文通过具体实例介绍如何利用Python实现多并发访问网站的功能，旨在为读者提供参考并辅助学习。

# Filename:visitweb_threads.py
# Description:python visit web, get startTime, endTime, everytimes spentTime,threading
import threading
import urllib
import time
import datetime
print 'num    web       SpentTime'
def Process(url,n):
  minSpan = 0.0
  maxSpan = 0.0
  sumSpan= 0.0
  over1s = 0
  file = open('data.txt','a') # save Data
  for i in range(n):
    startTime =datetime.datetime.now()
    try:
      urlItem = urllib.urlopen(url)
      htmSource = urlItem.read()
      urlItem.close()
    except:
      pass
    endTime = datetime.datetime.now()
    span = (endTime-startTime).total_seconds()
    sumSpan = sumSpan + span
    if span < minSpan:
      minSpan = span
    if span > maxSpan:
      maxSpan = span
    if span>1:
      over1s=over1s + 1
    print(u'%4d %s Spent:%7s seconds'%(i,url,span))
    file.write(u'%4d %s ST:%s ET:%s Spent :%s seconds\n'%(i,url,startTime,endTime,span))
  file.write('\n')
  print(u'\n requested:%s times\n Total Spent:%s seconds\n avg:%s seconds\n max:%s seconds\n min:%s seconds\n over 1 secnod:%s times\n'%(n,sumSpan,sumSpan/n,maxSpan,minSpan,over1s))
  file.write(u' requested:%s times\n Total Spent:%s seconds\n avg:%s seconds\n max:%s seconds\n min:%s seconds\n over 1 secnod:%s times\n'%(n,sumSpan,sumSpan/n,maxSpan,minSpan,over1s))
  file.close()
class ThreadClass(threading.Thread):
  def run(self):
    now = datetime.datetime.now()
    print "%s says Hello World at time: %s" % (self.getName(), now)
    file = open('threads_data.txt','a') # save threads_data
    file.write( "%s says Hello World at time: %s\n" % (self.getName(), now))
    Process('http://222.20.6.184/main.aspx',10) # visit website 网站的Url和每个进程的访问次数
    now = datetime.datetime.now()
    print "%s says Goodbye at time: %s" % (self.getName(), now)
    file.write( "%s says Goodbye at time: %s\n" % (self.getName(), now))
    file.close()
if __name__=='__main__':
#  file = open('threads_data.txt','w')
#  file.close()
#  file = open('data.txt','w')
#  file.close()
  for i in range(1000): # 多少次同时并发访问
    t = ThreadClass()
    t.start()

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期望本文提供的方案能对各位的Python程序设计工作有所助益。