python中的快速ping扫描
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/21225464/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
Fast ping sweep in python
提问by digital_alchemy
So, I'm trying to get similar results using python as I do with a bash script.
所以，我试图像使用 bash 脚本一样使用 python 获得类似的结果。
Code for the bash script:
bash脚本的代码：
#!/bin/bash
for ip in $(seq 1 254); do
ping -c 1 10.10.10.$ip | grep "bytes from" | cut -d " " -f 4 | cut -d ":" -f 1 &
done
The thing that I would like to do is get the same results with similar speed. The issue that I've had with every version of the python script is that it takes a very long time to complete compared to the few seconds the batch script takes.
我想做的事情是以相似的速度获得相同的结果。我在每个版本的 python 脚本中遇到的问题是，与批处理脚本花费的几秒钟相比，它需要很长时间才能完成。
The batch file takes about 2 seconds to sweep a /24 network while the the best I can get with the python script is about 5-8 minutes.
批处理文件大约需要 2 秒来扫描 /24 网络，而我使用 python 脚本可以获得的最佳时间约为 5-8 分钟。
Latest version of python script:
最新版本的python脚本：
import subprocess
cmdping = "ping -c1 10.10.10."
for x in range (2,255):
p = subprocess.Popen(cmdping+str(x), shell=True, stderr=subprocess.PIPE)
while True:
out = p.stderr.read(1)
if out == '' and p.poll() != None:
break
if out != '':
sys.stdout.write(out)
sys.stdout.flush()
I've tried several different ways in python but can't get anywhere near the speed of the bash script.
我在 python 中尝试了几种不同的方法，但无法接近 bash 脚本的速度。
Any suggestions?
有什么建议？
采纳答案by mojo
Multiprocessing
多处理
#!/usr/bin/python2
import multiprocessing
import subprocess
import os
def pinger( job_q, results_q ):
DEVNULL = open(os.devnull,'w')
while True:
ip = job_q.get()
if ip is None: break
try:
subprocess.check_call(['ping','-c1',ip],
stdout=DEVNULL)
results_q.put(ip)
except:
pass
if __name__ == '__main__':
pool_size = 255
jobs = multiprocessing.Queue()
results = multiprocessing.Queue()
pool = [ multiprocessing.Process(target=pinger, args=(jobs,results))
for i in range(pool_size) ]
for p in pool:
p.start()
for i in range(1,255):
jobs.put('192.168.1.{0}'.format(i))
for p in pool:
jobs.put(None)
for p in pool:
p.join()
while not results.empty():
ip = results.get()
print(ip)
