[Python]用python实现批量/并发处理
最近在学习python，感觉很不错，特别是实现批量/并发处理。实现起来非常方便，比shell方便很多。刚学python一个月，在这留个记录。下面分享一段代码。多提建议/意见~（QQ群交流：24967504）需求：批量查看/对比线上服务器的状态情况，如uptime、df -h、MD5sum文件等等。本打算让执行命令通过传参进行、密码通过交互输入（3次不对退出）。后面再完善~~
#-*- coding: utf-8 -*-
#!/usr/bin/python
import paramiko
import threading
def ssh2(ip,username,passwd,cmd):
try:
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(ip,22,username,passwd,timeout=5)
for m in cmd:
stdin,stdout,stderr = ssh.exec_command(m)
stdin.write("Y")
out = stdout.readlines()
for o in out:
print o,
print '%s' %(ip),
print '========================================================================='
ssh.close()
except:
print '%s' %(ip),
print '========================================================================='
def main():
cmd = ['uptime']#执行命令
username = "root"
passwd = "密码"
threads =
f = file('list.txt')#ip列表
while True:
ip = f.readline()
if len(ip) == 0:
break
a = threading.Thread(target=ssh2,args=(ip,username,passwd,cmd))
a.start()
f.close()
if __name__ == '__main__':
main()
执行结果：
# python ssh2.py
13:31:28 up 514 days,7:28,1 user,load average: 10.27, 9.44, 9.03
192.168.13.116
=========================================================================
13:31:28 up 514 days,8:04,1 user,load average: 5.99, 6.05, 6.46
192.168.13.117
=========================================================================
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