python和shell的ping对比

1.shell脚本ping局域网的脚本

   脚本代码

#!/bin/bash
for i in {1..50}
do
        ping -c 1 192.168.0.$i >/dev/null
        if [ $? = 0 ]
        then
                echo "192.168.0.$i used"
        else
                echo "192.168.0.$i unused"
        fi
done

执行结果及执行时间

2.python版本ping局域网的脚本（windows和linux通用）

#!/usr/bin/python
#_*_coding:utf-8_*_
import os
import time
from threading import Thread
class PING(Thread):
        def __init__(self,ip):
                Thread.__init__(self)
                self.ip=ip
        def run(self):
                if os.name=="nt":
                        output=os.popen("ping -n 1 %s" % (self.ip)).read().split("\r\n")
                        if "Packets: Sent = 1, Received = 1, Lost = 0 (0% loss)," in output:
                                print "%s 使用" % self.ip
                        else:
                                print "\033[32m%s 未使用\033[0m" % self.ip
                elif os.uname()[0] == "Linux":
                         output=os.popen("ping -c 1 -w 2 %s" % (self.ip)).read().split("\n")
                         if "1 packets transmitted, 1 received, 0% packet loss, time 0ms" in output:
                                print "%s 使用\r" % self.ip
                         else:
                                print "\033[32m%s 未使用\r\033[0m" % self.ip
                else:
                         print ("%s is ERROR" %(self.ip))
#多线程同时执行
T_thread=[]
Ip_addr=[]
aa=raw_input('\033[31m input ping range,exp:192.168.0.0,192.168.0.10 \033[0m\n>>>')
aa1=aa.split('.')
ip1="%s.%s.%s." %(aa1[0],aa1[1],aa1[2])
ip2=int(aa1[6])
ip2+=1
aa2=aa1[3].split(',')
for i in range(int(aa2[0]),ip2):
        Ip_addr.append(ip1+str(i))
for i in Ip_addr:
        t=PING(i)
        T_thread.append(t)
for i in range(len(T_thread)):
        T_thread[i].start()

执行结果和时间截图

总结：

有可能小批量任务看不出明显差别，但是大批量执行，python多线程脚本是shell脚本使用的一半时间