Random Sampling Performance in Ruby
Ruby has a couple of random selection functions, including Kernel::rand, Array#sample, and Array#shuffle. I thought I'd compare their performance, for interest's sake.
The rand function by default returns a randomly-generated floating point number between 0.0 and 1.0. The Array#sample method returns a random element from the array it is called on. The Array#shuffle method shuffles the array's contents and is notoriously slow for random selection purposes. I'm throwing it in here just to demonstrate how slow it actually performs.
The proposed methods being benchmarked are
- Good old rand:
(rand * (N-M)).to_i + M - Rand with integer:
rand(N-M) + M - Rand with range:
rand(M...N) - Sample from range:
(M...N).to_a.sample - Sample from array:
a = (M...N).to_a...a.sample - Shuffle and first:
a = (M...N).to_a...a.shuffle.first
To compare each of these methods I used the gem benchmark-ips. It's a really great gem that gives you benchmark result in iterations per second (ips).
Experiment
This is the code I used to benchmark:
require 'benchmark/ips'
array1 = (M...N).to_a
array2 = (M...N).to_a
Benchmark.ips do |x|
x.report('rand') { (rand * (N-M)).to_i + M }
x.report('rand-with-integer') { rand(N-M) + M }
x.report('rand-with-range') { rand(M...N) }
x.report('range-sample') { (M...N).to_a.sample }
x.report('array-sample') { array1.sample }
x.report('shuffle-and-first') { array2.shuffle.first }
x.compare!
endResults
And here are the results, running on MRI 2.2.0.
For M, N = 100, 200:
Calculating -------------------------------------
rand 101.008k i/100ms
rand-with-integer 102.306k i/100ms
rand-with-range 93.654k i/100ms
range-sample 17.368k i/100ms
array-sample 127.396k i/100ms
shuffle-and-first 30.846k i/100ms
-------------------------------------------------
rand 5.396M (± 2.3%) i/s - 26.969M
rand-with-integer 4.218M (± 2.6%) i/s - 21.075M
rand-with-range 3.186M (± 0.9%) i/s - 16.015M
range-sample 208.278k (± 1.5%) i/s - 1.042M
array-sample 7.000M (± 1.3%) i/s - 35.034M
shuffle-and-first 385.857k (± 1.8%) i/s - 1.943M
Comparison:
array-sample: 7000149.5 i/s
rand: 5396360.1 i/s - 1.30x slower
rand-with-integer: 4218324.8 i/s - 1.66x slower
rand-with-range: 3185872.3 i/s - 2.20x slower
shuffle-and-first: 385856.9 i/s - 18.14x slower
range-sample: 208278.3 i/s - 33.61x slowerFor M, N = -1000000, 1000000 (that's a million, folks):
Calculating -------------------------------------
rand 100.736k i/100ms
rand-with-integer 101.204k i/100ms
rand-with-range 88.602k i/100ms
range-sample 1.000 i/100ms
array-sample 110.195k i/100ms
shuffle-and-first 1.000 i/100ms
-------------------------------------------------
rand 5.069M (± 2.1%) i/s - 25.385M
rand-with-integer 4.270M (± 2.5%) i/s - 21.354M
rand-with-range 3.207M (± 1.6%) i/s - 16.037M
range-sample 14.704 (± 0.0%) i/s - 74.000
array-sample 5.400M (± 3.7%) i/s - 26.998M
shuffle-and-first 13.142 (± 0.0%) i/s - 66.000
Comparison:
array-sample: 5400288.4 i/s
rand: 5068905.6 i/s - 1.07x slower
rand-with-integer: 4269661.1 i/s - 1.26x slower
rand-with-range: 3207159.2 i/s - 1.68x slower
range-sample: 14.7 i/s - 367270.31x slower
shuffle-and-first: 13.1 i/s - 410930.02x slowerConclusion
Interestingly enough, sampling from an array is significantly faster than any of the rand methods for small (M,N). However, for larger ranges the performance gap becomes less apparent. I wanted to try with (-1000000000, 1000000000) (thats a billion, btw) but it took too long to allocate the arrays, lol. IPS for the rand methods don't seem to change much based on the range size. And, as expected, range-sample and shuffle-and-first methods perform terribly in pretty much any situation.
So, to wrap it up: Array#sample is relatively fast for small-ish N, but that doesn't count the array's allocation time. The good old Kernel::rand functions are consistently performant, and work great for large ranges of integers. And lastly, which is something I hope every ruby developer knows by now, Array#shuffle followed by Array#first is a terrible thing to do, and is a firable offence.
