Sha256: f3758c21c69a5d03eea1e7e907a3a19baf8b76f8cddd1918308f16fa4ea3db1b
Contents?: true
Size: 1.04 KB
Versions: 29
Compression:
Stored size: 1.04 KB
Contents
require 'benchmark'
require 'quantile'
require_relative '../../lib/scalyr/common/util'
# Micro benchmark which measures how much overhead Quantile.observe adds vs random sampling to see
# where making sampling (e.g. on event level metrics) is desired
ITERATIONS = 10000
def run_benchmark_and_print_results(run_benchmark_func)
result = []
ITERATIONS.times do |i|
result << Benchmark.measure { run_benchmark_func.() }
end
sum = result.inject(nil) { |sum, t| sum.nil? ? sum = t : sum += t }
avg = sum / result.size
Benchmark.bm(7, "sum:", "avg:") do |b|
[sum, avg]
end
puts ""
end
puts "Using %s iterations" % [ITERATIONS]
puts ""
@value = Quantile::Estimator.new
@prng = Random.new
def quantile_observe()
@value.observe(5)
end
def random_sample()
return @prng.rand(0.0..1.0) < 0.5
end
puts "Quartile.observe()"
puts "==============================="
run_benchmark_and_print_results(method(:quantile_observe))
puts "random sample"
puts "==============================="
run_benchmark_and_print_results(method(:random_sample))
Version data entries
29 entries across 29 versions & 1 rubygems