Project

request-log-analyzer

0.91

Log Analysis

No commit activity in last 3 years
No release in over 3 years
request-log-analyzerwvanbergen/request-log-analyzerHomepageDocumentationSource CodeBug TrackerWiki
Request log analyzer's purpose is to find out how your web application is being used, how it performs and to focus your optimization efforts. This tool will parse all requests in the application's log file and aggregate the information. Once it is finished parsing the log file(s), it will show the requests that take op most server time using various metrics. It can also insert all parsed request information into a database so you can roll your own analysis. It supports Rails-, Merb- and Rack-based applications logs, Apache and Amazon S3 access logs and MySQL slow query logs out of the box, but file formats of other applications can easily be supported by supplying an easy to write log file format definition.
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 Popularity
Downloads
1,181,433
Stars
2,245
Forks
185
Watchers
65
 Releases
Current version
1.13.4
Total releases
73
First release
2009-01-12
Latest release
2014-11-06
 Issues
Open Issues
17
Closed Issues
127
Total Issues
144
Issue Closure Rate
88%
 Pull Requests
Open Pull Requests
6
Closed Pull Requests
10
Merged Pull Requests
37
Pull Request Acceptance Rate
69%
 Development
Primary Language
Ruby
Licenses
MIT
Average date of last 50 commits
2014-08-31
Reverse Dependencies
4

 Dependencies

Development

activerecord
>= 0
mysql2
>= 0
pg
>= 0
rake
>= 0
rspec
~> 3
sqlite3
>= 0
 Project Readme

Request-log-analyzer <img src=“https://secure.travis-ci.org/wvanbergen/request-log-analyzer.png” />¶ ↑

This is a simple command line tool to analyze request log files in various formats to produce a performance report. Its purpose is to find what actions are best candidates for optimization.

  • Analyzes log files. Currently supports: Amazon S3, Apache, Delayed::Job, Merb, Mysql, PostgreSQL, Rack, Rails and more.

  • Combines multiple files and decompresses compressed files, which comes in handy if you are using logrotate.

  • Uses several metrics, including cumulative request time, mean request time, process blockers, database and rendering time, HTTP methods and statuses, Rails action cache statistics, etc.) (Sample output: github.com/wvanbergen/request-log-analyzer/wiki/sample-output)

  • Runs on any MRI 1.9+ compatible Ruby, has a low memory footprint and is reasonably fast, so it is safe to run on a production server.

See the project wiki at github.com/wvanbergen/request-log-analyzer/wiki for documentation and additional information.

Installation & basic usage¶ ↑

Install request-log-analyzer as a Ruby gem (you might need to run this command as root by prepending sudo to it):

$ gem install request-log-analyzer

To analyze a Rails log file and produce a performance report, run request-log-analyzer like this:

$ request-log-analyzer log/production.log

For more details, other file formats, and available command line options, see the project’s wiki at github.com/wvanbergen/request-log-analyzer/wiki

Additional information¶ ↑

Request-log-analyzer was designed and built by Willem van Bergen and Bart ten Brinke.

Do you have a rails application that is not performing as it should? If you need an expert to analyze your application, feel free to contact either Willem van Bergen (willem@railsdoctors.com) or Bart ten Brinke (bart@railsdoctors.com).