Red-black tree data structure for Ruby.
Install the gem and add to the application's Gemfile by executing:
$ bundle add red-black-tree
If bundler is not being used to manage dependencies, install the gem by executing:
$ gem install red-black-tree
Work = Struct.new :min_latency, keyword_init: true
# Needs to be implemented by you
class WorkNode < RedBlackTree::Node
def <=> other
self.data.min_latency <=> other.data.min_latency
end
end
tree = RedBlackTree.new
tree << WorkNode.new(Work.new min_latency: 0.8)
tree << WorkNode.new(Work.new min_latency: 1.2)
tree << WorkNode.new(Work.new min_latency: 0.8)
tree << WorkNode.new(Work.new min_latency: 0.4)
until tree.empty?
work = tree.shift # 0.4, 0.8, 0.8, 1.2
# process work
endNote
Red-black trees are designed for specific use cases and are not intended as a general-purpose data structure. The comparisons below are provided merely to illustrate the performance characteristics of the gem. However, it is important to note that the benchmarks do not take into account the self-balancing nature of red-black trees.
require 'benchmark/ips'
Work = Struct.new :min_latency, keyword_init: true
class WorkNode < RedBlackTree::Node
def <=> other
self.data.min_latency <=> other.data.min_latency
end
end
sample_data = 10_000.times.map { Work.new(min_latency: rand(1_000)) }
Benchmark.ips do |x|
x.report("RedBlackTree") do
tree = RedBlackTree.new
sample_data.each { |work| tree << WorkNode.new(work); }
tree.shift until tree.empty?
end
# 1:1 comparison
x.report("Array (gradual sort)") do
array = []
sample_data.each { |work| array << work; array.sort_by!(&:min_latency); }
array.shift until array.empty?
end
x.report("Array (single sort)") do
array = []
sample_data.each { |work| array << work; }
array.sort_by!(&:min_latency)
array.shift until array.empty?
end
x.compare!
end
#=> ruby 3.3.5 (2024-09-03 revision ef084cc8f4) [arm64-darwin24]
#=> Warming up --------------------------------------
#=> RedBlackTree 1.000 i/100ms
#=> Array (gradual sort) 1.000 i/100ms
#=> Array (single sort) 78.000 i/100ms
#=> Calculating -------------------------------------
#=> RedBlackTree 5.417 (± 0.0%) i/s (184.61 ms/i) - 28.000 in 5.172532s
#=> Array (gradual sort) 0.268 (± 0.0%) i/s (3.74 s/i) - 2.000 in 7.473005s
#=> Array (single sort) 768.691 (± 2.2%) i/s (1.30 ms/i) - 3.900k in 5.076337s
#=>
#=> Comparison:
#=> Array (single sort): 768.7 i/s
#=> RedBlackTree: 5.4 i/s - 141.91x slower
#=> Array (gradual sort): 0.3 i/s - 2872.03x slowerrequire 'benchmark/ips'
Work = Struct.new :min_latency, keyword_init: true
class WorkNode < RedBlackTree::Node
def <=> other
self.data.min_latency <=> other.data.min_latency
end
end
sample_data = 10_000.times.map { Work.new(min_latency: rand(1_000)) }
search_sample = sample_data.sample
Benchmark.ips do |x|
x.report("RedBlackTree#search") do
tree = RedBlackTree.new
sample_data.each { |work| tree << WorkNode.new(work); }
raise unless tree.search search_sample
end
# 1:1 comparison
x.report("Array#find (gradual sort)") do
array = []
sample_data.each { |work| array << work; array.sort_by!(&:min_latency); }
raise unless array.find { |work| work.min_latency == search_sample.min_latency }
end
x.report("Array#find (single sort)") do
array = []
sample_data.each { |work| array << work; }
array.sort_by!(&:min_latency)
raise unless array.find { |work| work.min_latency == search_sample.min_latency }
end
# 1:1 comparison
x.report("Array#bsearch (gradual sort)") do
array = []
sample_data.each { |work| array << work; array.sort_by!(&:min_latency); }
raise unless array.bsearch { |work| search_sample.min_latency <= work.min_latency }
end
x.report("Array#bsearch (single sort)") do
array = []
sample_data.each { |work| array << work; }
array.sort_by!(&:min_latency)
raise unless array.bsearch { |work| search_sample.min_latency <= work.min_latency }
end
x.compare!
end
#=> ruby 3.3.5 (2024-09-03 revision ef084cc8f4) [arm64-darwin24]
#=> Warming up --------------------------------------
#=> RedBlackTree#search 1.000 i/100ms
#=> Array#find (gradual sort)
#=> 1.000 i/100ms
#=> Array#find (single sort)
#=> 69.000 i/100ms
#=> Array#bsearch (gradual sort)
#=> 1.000 i/100ms
#=> Array#bsearch (single sort)
#=> 89.000 i/100ms
#=> Calculating -------------------------------------
#=> RedBlackTree#search 12.926 (± 0.0%) i/s (77.36 ms/i) - 65.000 in 5.030736s
#=> Array#find (gradual sort)
#=> 0.262 (± 0.0%) i/s (3.81 s/i) - 2.000 in 7.623953s
#=> Array#find (single sort)
#=> 690.631 (± 1.0%) i/s (1.45 ms/i) - 3.519k in 5.095823s
#=> Array#bsearch (gradual sort)
#=> 0.267 (± 0.0%) i/s (3.75 s/i) - 2.000 in 7.492482s
#=> Array#bsearch (single sort)
#=> 895.413 (± 1.7%) i/s (1.12 ms/i) - 4.539k in 5.070590s
#=>
#=> Comparison:
#=> Array#bsearch (single sort): 895.4 i/s
#=> Array#find (single sort): 690.6 i/s - 1.30x slower
#=> RedBlackTree#search: 12.9 i/s - 69.27x slower
#=> Array#bsearch (gradual sort): 0.3 i/s - 3354.39x slower
#=> Array#find (gradual sort): 0.3 i/s - 3412.57x slowerRedBlackTree#maxRedBlackTree#heightRedBlackTree#clear
After checking out the repo, run bin/setup to install dependencies. Then, run bundle exec rake test to run the
tests. You can also run bin/console for an interactive prompt that will allow you to experiment.
Bug reports and pull requests are welcome on GitHub at https://github.com/joshuay03/red-black-tree.
The gem is available as open source under the terms of the MIT License.
Everyone interacting in the RedBlackTree project's codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.