A iterations per second enhancement to Benchmark.
- benchmark/ips - benchmarks a blocks iterations/second. For short snippits of code, ips automatically figures out how many times to run the code to get interesting data. No more guessing at random iteration counts!
require 'benchmark/ips'
Benchmark.ips do |x|
# Configure the number of seconds used during
# the warmup phase (default 2) and calculation phase (default 5)
x.config(:time => 5, :warmup => 2)
# These parameters can also be configured this way
x.time = 5
x.warmup = 2
# Typical mode, runs the block as many times as it can
x.report("addition") { 1 + 2 }
# To reduce overhead, the number of iterations is passed in
# and the block must run the code the specific number of times.
# Used for when the workload is very small and any overhead
# introduces incorrectable errors.
x.report("addition2") do |times|
i = 0
while i < times
1 + 2
i += 1
end
end
# To reduce overhead even more, grafts the code given into
# the loop that performs the iterations internally to reduce
# overhead. Typically not needed, use the |times| form instead.
x.report("addition3", "1 + 2")
# Really long labels should be formatted correctly
x.report("addition-test-long-label") { 1 + 2 }
# Compare the iterations per second of the various reports!
x.compare!
end
This will generate the following report:
Calculating -------------------------------------
addition 71.254k i/100ms
addition2 68.658k i/100ms
addition3 83.079k i/100ms
addition-test-long-label
70.129k i/100ms
-------------------------------------------------
addition 4.955M (± 8.7%) i/s - 24.155M
addition2 24.011M (± 9.5%) i/s - 114.246M
addition3 23.958M (±10.1%) i/s - 115.064M
addition-test-long-label
5.014M (± 9.1%) i/s - 24.545M
Comparison:
addition2: 24011974.8 i/s
addition3: 23958619.8 i/s - 1.00x slower
addition-test-long-label: 5014756.0 i/s - 4.79x slower
addition: 4955278.9 i/s - 4.85x slower
Benchmark/ips will report the number of iterations per second for a given block of code. When analyzing the results, notice the percent of standard deviation which tells us how spread out our measurements are from the average. A high standard deviation could indicate the results having too much variability.
One benefit to using this method is benchmark-ips automatically determines the data points for testing our code, so we can focus on the results instead of guessing iteration counts as we do with the traditional Benchmark library.
Pass a custom suite to disable garbage collection during benchmark:
require 'benchmark/ips'
# Enable and start GC before each job run. Disable GC afterwards.
#
# Inspired by https://www.omniref.com/ruby/2.2.1/symbols/Benchmark/bm?#annotation=4095926&line=182
class GCSuite
def warming(*)
run_gc
end
def running(*)
run_gc
end
def warmup_stats(*)
end
def add_report(*)
end
private
def run_gc
GC.enable
GC.start
GC.disable
end
end
suite = GCSuite.new
Benchmark.ips do |x|
x.config(:suite => suite)
x.report("job1") { ... }
x.report("job2") { ... }
end
- None!
$ gem install benchmark-ips
After checking out the source, run:
$ rake newb
This task will install any missing dependencies, run the tests/specs, and generate the RDoc.
(The MIT License)
Copyright (c) 2015 Evan Phoenix
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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