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See how fast is rendering in your Ruby on Rails app. Based on information from logs. Provides you a picture of how often renders and how fast renders your views.
You can see columns:
Could be installed as standalone (without adding to Gemfile).
Add this line to your application's Gemfile:
gem 'log_analyzer'
And then execute:
$ bundle
Or install it yourself as:
$ gem install log_analyzer
After installation run in console command log_analyzer -f log/development.log
. You can change the file or sorting (time, count, name).
Samples:
log_analyzer log/development.log -s count
log_analyzer log/production.log
log_analyzer production.log -csv
log_analyzer production.log -pdf
log_analyzer -f log/production.log -s name
log_analyzer -f log/production.log -s time -f v
log_analyzer -f log/production.log -s rtime -f v
log_analyzer -file log/production.log -sort count
log_analyzer -file log/production.log -sort count -filter view
log_analyzer -file log/production.log -sort count -filter partial
log_analyzer -file log/production.log -sort time -filter p
log_analyzer development.log -csv -s time -f p
log_analyzer development.log -xls -s time -f p
log_analyzer log/production.log -pdf --short
log_analyzer -file log/production.log --short
log_analyzer --help
Based on results you can get an idea what to optimize. For example optimizing most often rendering view could give huge benefit. Now with this tool you can find out what are the numbers.
Based on the observations I suggest to run this tool for files less than 1Gb. If you have enough RAM - download the log file to local machine and then run the tool.
After checking out the repo, run bin/setup
to install dependencies. Then, run rake spec
to run the tests. You can also run bin/console
for an interactive prompt that will allow you to experiment.
To install this gem on your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and tags, and push the .gem
file to rubygems.org.
Bug reports and pull requests are welcome on GitHub at https://github.com/igorkasyanchuk/log_analyzer. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
Big thank you to all our contributors:
The gem is available as open source under the terms of the MIT License.
FAQs
Unknown package
We found that log_analyzer demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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