|
商品编号: |
DVDXX16114 |
|
商品名稱: |
Log Parser Lizard 7.0.1 一款強大好用的日誌分析工具 |
|
碟片數量: |
1片 |
|
銷售價格: |
100 |
|
瀏覽次數: |
14050 |
|
【轉載TXT文檔】 |
|
Log Parser Lizard 7.0.1 一款強大好用的日誌分析工具 |
Log Parser Lizard是一款強大好用的日誌分析工具,使用這款軟件可以方便用戶對服務器日誌、網站日誌等進行直觀用戶的分析,支持基於文本的日誌文件、XML 文件、CSV(逗號分隔符)文件以及註冊表、文件系統等內容,它可以把相應的分析結果以圖形的形式展現出來,大大地方便了運營人員,有需要的不要錯過。
主要特色
1、封裝了logParser命令,帶圖形界面,大大降低了LogParser的使用難度。
2、集成了幾個開源工具,如log4net等。可以對IIS logs/EventLogs/active directory/log4net/File Systems/T-SQL進行方便的查詢。
3、集成了Infragistics.UltraChart.Core.v4.3、Infragistics.Excel.v4.3.dll等,使查詢結果可以方便的以圖表或EXCEL格式展示。
4、集成了常見的查詢命令,範圍包含六大模塊:IIS
5、可以將查詢過的命令保存下來,方便再次使用。
You computer logs almost every action that takes place behind the scenes, even if it does not always display this information in an accessible place. System events, errors and many other such activities are logged and kept by the operating system, in case you might need to troubleshoot a certain problem and you have to know exactly what was your computer doing at a specific time. Log Parser Lizard enables you to keep track of this information and view detailed reports whenever you want to know something about the state of your system.
Run SQL queries against plain text files
SQL queries can be explained as a special type of search operation, only much more powerful and with many more possible customization options. Usually, these queries can only be performed on databases, because they contain special terms that are not recognized by other file formats, but Log Parser Lizard enables you to run SQL queries against plain text files, thanks to its very own SQL syntax.
These queries can be related to file system information, such as to find the top 10 largest duplicate files on your hard disk, or even web services, like IIS logs about IP addresses, hit counts and HTTP status codes. You can also create logs from scratch, since the mentioned ones are all samples provided by the application at the installation.
Export the results to Excel or view chart images with the queried data
After you run the desired queries and view all the requested information, you can save the results to an Excel spreadsheet or PDF file for future reference, or to transfer them over the Internet as email attachments. The available input log formats include Windows Event logs, Active Directory services and Google BigQuery, which can handle massive amounts of web data.
As for the output formats, Log Parser Lizard enables you to save your queries as CSV, IIS log files and image charts. The charts depict a graphical representation of the queried data, to better illustrate differences or certain activities.
Conclusion
In the end, Log Parser Lizard is well worth the amount of trouble you run into before you learn to use its SQL-style syntax, because the information it offers is very useful and also particularly hard to find with any other kind of application that is not shell-based.
|
|
|