timecat - 强大的日志搜索辅助工具
timecat
强大的日志搜索辅助工具 - A powerful tool for search in log files.
环境要求/requirements：Python2.x
安装 - Installation
两种方式 - There are two ways to get timecat.
1. pip install timecat
2. 或下载timecat文件后放在你的默认程序执行路径下 - Or directly download the timecat file, then add it to your default execution PATH
使用 - Usage
timecat -d '2016-01-02' -s '20:13:14' -e '20:14:13' LOGFILE1.log LOGFILE2.log ...
timecat -s '2016-01-02 20:13:14' -e '2016-01-02 20:14:13' LOGFILE1.log LOGFILE2.log ...
- For more:
timecat -h
简介 - Description
中文简介
假如给你一个日志文件A.log，它的大小达到了28G
日志的起始时间为Jan 1 20:13:14，日志的结束时间为Dec 31 20:14:13
现在要求你从中找出4月3号早上10点9分08秒到4月4好早上6点5分04秒的所有日志并输出
你会怎么做？用awk？用grep？还是用sed？
使用了timecat，你可以这样做：
timecat -s 'Apr 3 10:09:08' -e 'Apr 4 06:05:04' A.log > timecat.out
这样，timecat.out保存的就是你想要的数据，定位速度之快超乎你想象。
如果你在生产环境中需要搜索海量的日志，这个工具一定是你的得力助手。
English Description
Imagine that given a log file A.log with its size reaches to 28G
The log starts from Jan 1 20:13:14, ends with Dec 31 20:14:13
Now you are required to output all the lines between April 3rd 10:09:08 and April 4th 06:05:04
What will you do? Use awk? Use grep? Or sed?
With timecat, you can do it this way:
timecat -s 'Apr 3 10:09:08' -e 'Apr 4 06:05:04' A.log > timecat.out
After this, timecat.out stores what you want, at an amazing searching speed.
When you have to search huge amounts of log files in production environment, this helps alot, saving huge amounts of disk I/Os, more importantly, time.