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
end
Note
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 3.4.1 (2024-12-25 revision 48d4efcb85) +YJIT +PRISM [arm64-darwin24]
#=> Warming up --------------------------------------
#=> RedBlackTree 1.000 i/100ms
#=> Array (gradual sort) 1.000 i/100ms
#=> Array (single sort) 100.000 i/100ms
#=> Calculating -------------------------------------
#=> RedBlackTree 16.684 (± 6.0%) i/s (59.94 ms/i) - 84.000 in 5.053688s
#=> Array (gradual sort) 0.270 (± 0.0%) i/s (3.71 s/i) - 2.000 in 7.418650s
#=> Array (single sort) 1.006k (± 2.4%) i/s (994.28 μs/i) - 5.100k in 5.073834s
#=>
#=> Comparison:
#=> Array (single sort): 1005.8 i/s
#=> RedBlackTree: 16.7 i/s - 60.28x slower
#=> Array (gradual sort): 0.3 i/s - 3729.44x slower
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)) }
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 3.4.1 (2024-12-25 revision 48d4efcb85) +YJIT +PRISM [arm64-darwin24]
#=> Warming up --------------------------------------
#=> RedBlackTree#search 3.000 i/100ms
#=> Array#find (gradual sort)
#=> 1.000 i/100ms
#=> Array#find (single sort)
#=> 95.000 i/100ms
#=> Array#bsearch (gradual sort)
#=> 1.000 i/100ms
#=> Array#bsearch (single sort)
#=> 108.000 i/100ms
#=> Calculating -------------------------------------
#=> RedBlackTree#search 42.850 (± 4.7%) i/s (23.34 ms/i) - 216.000 in 5.049896s
#=> Array#find (gradual sort)
#=> 0.274 (± 0.0%) i/s (3.65 s/i) - 2.000 in 7.302412s
#=> Array#find (single sort)
#=> 935.492 (± 2.7%) i/s (1.07 ms/i) - 4.750k in 5.081415s
#=> Array#bsearch (gradual sort)
#=> 0.275 (± 0.0%) i/s (3.63 s/i) - 2.000 in 7.269027s
#=> Array#bsearch (single sort)
#=> 1.104k (± 2.0%) i/s (905.52 μs/i) - 5.616k in 5.087395s
#=>
#=> Comparison:
#=> Array#bsearch (single sort): 1104.3 i/s
#=> Array#find (single sort): 935.5 i/s - 1.18x slower
#=> RedBlackTree#search: 42.9 i/s - 25.77x slower
#=> Array#bsearch (gradual sort): 0.3 i/s - 4013.67x slower
#=> Array#find (gradual sort): 0.3 i/s - 4031.85x slower
RedBlackTree#max
RedBlackTree#height
RedBlackTree#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.