
本文实例讲述了Python统计日志中每个IP出现次数的方法。分享给大家供大家参考。具体如下:
这脚本可用于多种日志类型,本人测试MDaemon的all日志文件大小1.23G左右,分析用时2~3分钟
代码很简单,很适合运维人员,有不足的地方请大家指出哦
#-*- Coding:utf-8 -*-import re,timedef mail_log(file_path): global count log=open(file_path,'r') C=r'\.'.join([r'\d{1,3}']*4) find=re.compile(C) count={} for i in log: for ip in find.findall(i): count[ip]=count.get(ip,1)+1if __name__ == '__main__': print time.clock() num=0 mail_log(r'e:\MDaemon-20110329-all.log') R=count.items() for i in R: if i[1]>0: #提取出现次数大于0的IP print i num+=1 print '符合要求数量:%s耗时(%s)'%(num,time.clock())输出结果如下:
('206.220.200.250',8)('66.40.52.37',10)('66.40.52.36',5)('207.115.11.41',4)('96.47.193.25',9)('96.47.193.24',5)('96.47.193.23',17)('72.32.181.92',5)('67.76.103.168',10)('64.34.161.218',5)('209.151.96.3',7)('61.135.168.0',15)('199.81.128.37',2)('199.81.128.36',2)('199.81.128.38',2)('198.45.19.170',16)('12.236.15.9',4)('66.96.142.52',51)('66.96.142.51',55)('66.96.142.50',62)('64.18.5.13',1553)('69.39.47.14',9)('64.18.5.11',1557)('64.18.5.10',2752)('210.72.13.102',4)('64.118.108.196',4)('66.60.192.44',26)('112.90.194.8',4)('198.49.244.245',5)('216.183.174.227',5)('195.245.230.131',5)('211.115.13.27',5)('222.247.123.217',3)('218.213.85.210',2)('201.236.205.96',3)('209.85.161.136',2)('173.165.120.188',5)('50.22.89.39',7)('219.129.20.168',3)('24.106.197.167',5)('207.190.225.69',4)('156.3.32.236',5)('209.92.157.161',5)('216.153.192.200',5)('76.77.158.130',3)('12.166.4.221',5)('66.46.182.96',4)('80.252.97.102',4)('66.46.182.94',5)('66.46.182.95',4)('124.14.5.3',3)('202.85.139.0',5)('207.173.160.17',15)('143.101.0.21',5)('65.75.75.59',9)('77.88.21.89',53)('216.128.11.30',44)希望本文所述对大家的Python程序设计有所帮助。
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