Profiling
Non-discriminatory profiling for your MRI Ruby code. This gem is a small wrapper around the ruby-prof gem, which is its only dependency. It lets you do simple but powerful profiling of your friend's bad code.
Installation
Add this line to your application's Gemfile:
gem 'profiling', "~> 4.0"
And then execute:
$ bundle
Or install it yourself as:
$ gem install profiling
Getting Started
Profile slow code from your friend or colleague like this:
Profiler.run do
# Slow code here...
end
The next time you call the code it will be profiled and three files will be written into a directory called profiling
.
Files Generated
File | Description |
---|---|
graph.html |
Drill down into the call tree to see where the time is spent |
stack.html |
See the profiled code as a nested stack |
flat.txt |
List of all functions called, the time spent in each and the number of calls made to that function |
Is it Fast?
No, no it's not. It's really slow. For especially gnarly, deeply nested code you will want to get up and get a coffee. This gem wraps ruby-prof which is partly written in C, so it's as fast as it can be.
Options
Use the configure
method to set some options:
Profiler.configure({
dir: '/tmp/my-dir',
exclude_gems: true,
exclude_standard_lib: true
})
Option | Description | Default |
---|---|---|
dir |
Directory the files will be created in (can be relative or absolute) | "profiling" |
exclude_gems |
Exclude ruby gems from the results | false |
exclude_standard_lib |
Exclude ruby standard library from results | false |
Rails Initializer
This initializer is recommended if you're planning to profile in Rails:
# config/initializer/profiling.rb
Profiler.configure({
dir: Rails.root.join('tmp/profiling')
})
Conditional Profiling
Pass an argument if:
to enable or disable profiling at run time:
Profiler.run(if: user.is_admin?) do
# Slow code here...
end
Labels
Labels translate to sub directories that the files will be generated in. This is handy for profiling multiple things at once, preserving files between runs, or grouping profiling results logically.
Profiler.run("some-label") do
# Slow code here...
end
Preserving files between runs
Keep old files by adding the current time in the label so new files are generated with each run:
Profiler.run("some-label-#{Time.now.to_i}") do
# Slow code here...
end
Organizing
Use /
in your labels to group profiling results together in directories:
Profiler.run("post/create") do
# Slow code here...
end
Profiler.run("post/update") do
# Slow code here...
end
Contributing
Bug reports and pull requests are welcome. Pull requests with passing tests are even better.
To run the test suite:
bundle exec rspec
License
The gem is available as open source under the terms of the MIT License.