现在需要分析访问日志,怎么办?
比如分析D:ServersApache2.2logsaccess2014-05-22.log
http://my.oschina.net/cart/针对这个问题特意开发了一款小工具分析Apache 日志,拆分字段成CSV文件并插入Mysql数据库分析
<?php $date = '2014-05-22'; file_put_contents($date.'.csv', ''); file_put_contents($date.'.csv', '"IP","Date","Zone","Protocol","URL","Version","Status","Size","Referer","User-Agent"'." ", FILE_APPEND); preg_match_all('/(.*?) .*? .*? [(.*?) (.*?)] "(.*?) (.*?) (.*?)" (.*?) (.*?) "(.*?)" "(.*?)"/isu', file_get_contents('../Servers/Apache2.2/logs/access'.$date.'.log'), $matches); $num = count($matches[0]); for($i = 0; $i < $num; $i ++){ file_put_contents($date.'.csv', '"'.trim($matches[1][$i]).'","'.$matches[2][$i].'","'.$matches[3][$i].'","'.$matches[4][$i].'","'.$matches[5][$i].'","'.$matches[6][$i].'","'.$matches[7][$i].'","'.$matches[8][$i].'","'.$matches[9][$i].'","'.$matches[10][$i].'"'." ", FILE_APPEND); }
最后在Mysql中按照CSV字段信息建立字段,通过Mysql的 CSV using LOAD DATA 导入你的CSV文件即可。
导入2G的CSV日志,速度都很快!!!
版权所有:http://my.oschina.net/cart/
哈哈,http://my.oschina.net/cart/日志已经成功拆成列入到数据库了,剩下怎么筛选,怎么折腾http://my.oschina.net/cart/,随你意!哈哈!