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Building a toolkit to detect performance regressions in Ruby on Rails core
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Kir Shatrov
April 22, 2015
Programming
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5.1k
Building a toolkit to detect performance regressions in Ruby on Rails core
My talk from RailsConf 2015.
Kir Shatrov
April 22, 2015
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Transcript
Kir Shatrov, RailsConf 2015 Building a toolkit to detect performance
regressions in Ruby on Rails core
@kirs @kirshatrov !"
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Catching Performance Regressions in Rails
What’s a performance regression?
What’s a performance regression in Rails?
Page load 250ms → 4s
Case Study
4.2rc1
None
2 times slower
4.2rc3
Faster framework = Faster app
Examples from Rails commits
Metrics
Timing & Allocations
Faster Methods = Faster App
start = Time.now.to_f sleep 5 ends = Time.now puts "it
took #{ends - start}"
Allocations = GC work Less allocations = less GC work
before = GC.stat[:total_allocated_object] 10_000.times do { "key" => "value" }
end after = GC.stat[:total_allocated_object] puts "allocated: #{after - before}"
Basic primitives
Examples from Rails commits String
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Examples from Rails commits Hash
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Optimize only “hot” code
Track the changes
The Idea to build a service
Track it with benchmarks
Any existing benchmarks?
None
Setup Discourse Populate records Start Unicorn with RAILS_ENV=production Make requests
with Apache Bench to the list of endpoints Print timings and memory usage
Components to benchmark activerecord activemodel actionview actioncontroller activesupport
3.2 – 4.0 – 4.1 – 4.2
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ActiveRecord Finders require_relative 'support/activerecord_base.rb' require_relative 'support/benchmark_rails.rb' User.create!(name: 'kir', email: '
[email protected]
')
m = Benchmark.rails(100, "activerecord/#{db_adapter}/finders") do User.find(1) end puts m.to_json
Disable GC is necessary Warm up the code Make N
iterations Calculate the mean timing and object allocations
ActiveRecord::Base#create require_relative 'support/activerecord_base.rb' require_relative 'support/benchmark_rails.rb' fields = { name: "Kir",
notes: "Note", created_at: Date.today } Benchmark.rails(1000, "activerecord/#{db_adapter}/create") do Exhibit.create(fields) end
Correct benchmarks
Full app benchmark
Full app benchmark before
stackprof by Aman Gupta github.com/tmm1/stackprof
4.2 4.1
config/environments/production.rb
Full app benchmark after
✅ Benchmarks
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The Service
What do we want? See benchmark for every commit See
benchmark for every PR Report to PR author (“activerecord became 2% slower”) See charts
railsperf.evilmartians.io The prototype of the service. Built in January
rubybench.org by Sam Saffron and Guo Xiang Tan “Alan”
None
3.6GHz Intel® Xeon® E3-1270 v3 Quad-Core 4 x 8GB Micron
ECC Samsung SSD 845DC EVO - 240 GB Sponsored hardware
ruby-bench + rails
github.com/ruby/ruby webhook web app docker server benchmark suite
None
github.com/ruby-bench web app docker files benchmark suite
github.com/ruby-bench web app docker files benchmark suite
github.com/ruby-bench web app docker files benchmark suite
github.com/ruby-bench web app docker files benchmark suite
Results
Running builds for Rails
250k builds for Ruby
MRI performance regression caught
What’s next?
What’s next Pull Request benchmarks Weekly reports JRuby support
Overview What is a performance regression How to track them
How to solve them How to write benchmarks Automate tracking!
How to track your app performance? Study how do Ruby
objects work and how to treat them Write a Discourse-like benchmark and run it on Travis Subscribe to Rails Weekly
Ruby Under a Microscope
http://bit.ly/writing-fast-ruby
How to track your app performance? Study how do Ruby
objects work and how to treat them Write a Discourse-like benchmark and run it on Travis Subscribe to Rails Weekly
Setup the app Populate records Start Unicorn with RAILS_ENV=production Make
requests with Apache Bench to the list of endpoints Print timings and memory usage
How to track your app performance? Study how do Ruby
objects work and how to treat them Write a Discourse-like benchmark and run it on Travis Subscribe to Rails Weekly
bit.ly/railsperf-gh github.com/rubybench bit.ly/railsperf-static
Thanks! @kirs @kirshatrov @evilmartians evilmartians.com