The Benchmark module provides methods to measure and report the time used to execute Ruby code.
Measure the time to construct the string given by the expression
"a"*1_000_000_000:
require 'benchmark' puts Benchmark.measure { "a"*1_000_000_000 }
On my machine (OSX 10.8.3 on i5 1.7 GHz) this generates:
0.350000 0.400000 0.750000 ( 0.835234)
This report shows the user CPU time, system CPU time, the sum of the user and system CPU times, and the elapsed real time. The unit of time is seconds.
Do some experiments sequentially using the bm method:
require 'benchmark' n = 5000000 Benchmark.bm do |x| x.report { for i in 1..n; a = "1"; end } x.report { n.times do ; a = "1"; end } x.report { 1.upto(n) do ; a = "1"; end } end
The result:
user system total real 1.010000 0.000000 1.010000 ( 1.014479) 1.000000 0.000000 1.000000 ( 0.998261) 0.980000 0.000000 0.980000 ( 0.981335)
Continuing the previous example, put a label in each report:
require 'benchmark' n = 5000000 Benchmark.bm(7) do |x| x.report("for:") { for i in 1..n; a = "1"; end } x.report("times:") { n.times do ; a = "1"; end } x.report("upto:") { 1.upto(n) do ; a = "1"; end } end
The result:
user system total real for: 1.010000 0.000000 1.010000 ( 1.015688) times: 1.000000 0.000000 1.000000 ( 1.003611) upto: 1.030000 0.000000 1.030000 ( 1.028098)
The times for some benchmarks depend on the order in which items are run. These differences are due to the cost of memory allocation and garbage collection. To avoid these discrepancies, the bmbm method is provided. For example, to compare ways to sort an array of floats:
require 'benchmark' array = (1..1000000).map { rand } Benchmark.bmbm do |x| x.report("sort!") { array.dup.sort! } x.report("sort") { array.dup.sort } end
The result:
Rehearsal -----------------------------------------
sort! 1.490000 0.010000 1.500000 ( 1.490520)
sort 1.460000 0.000000 1.460000 ( 1.463025)
-------------------------------- total: 2.960000sec
user system total real
sort! 1.460000 0.000000 1.460000 ( 1.460465)
sort 1.450000 0.010000 1.460000 ( 1.448327)
Report statistics of sequential experiments with unique labels, using the benchmark method:
require 'benchmark' include Benchmark # we need the CAPTION and FORMAT constants n = 5000000 Benchmark.benchmark(CAPTION, 7, FORMAT, ">total:", ">avg:") do |x| tf = x.report("for:") { for i in 1..n; a = "1"; end } tt = x.report("times:") { n.times do ; a = "1"; end } tu = x.report("upto:") { 1.upto(n) do ; a = "1"; end } [tf+tt+tu, (tf+tt+tu)/3] end
The result:
user system total real for: 0.950000 0.000000 0.950000 ( 0.952039) times: 0.980000 0.000000 0.980000 ( 0.984938) upto: 0.950000 0.000000 0.950000 ( 0.946787) >total: 2.880000 0.000000 2.880000 ( 2.883764) >avg: 0.960000 0.000000 0.960000 ( 0.961255)
The default caption string (heading above the output times).
The default format string used to display times. See also Benchmark::Tms#format.
Invokes the block with a Benchmark::Report object, which may be used to
collect and report on the results of individual benchmark tests. Reserves
label_width leading spaces for labels on each line. Prints
caption at the top of the report, and uses format
to format each line. Returns an array of Benchmark::Tms objects.
If the block returns an array of Benchmark::Tms objects, these will be used to
format additional lines of output. If labels parameter are
given, these are used to label these extra lines.
Note: Other methods provide a simpler interface to this one, and are suitable for nearly all benchmarking requirements. See the examples in Benchmark, and the bm and bmbm methods.
Example:
require 'benchmark' include Benchmark # we need the CAPTION and FORMAT constants n = 5000000 Benchmark.benchmark(CAPTION, 7, FORMAT, ">total:", ">avg:") do |x| tf = x.report("for:") { for i in 1..n; a = "1"; end } tt = x.report("times:") { n.times do ; a = "1"; end } tu = x.report("upto:") { 1.upto(n) do ; a = "1"; end } [tf+tt+tu, (tf+tt+tu)/3] end
Generates:
user system total real for: 0.970000 0.000000 0.970000 ( 0.970493) times: 0.990000 0.000000 0.990000 ( 0.989542) upto: 0.970000 0.000000 0.970000 ( 0.972854) >total: 2.930000 0.000000 2.930000 ( 2.932889) >avg: 0.976667 0.000000 0.976667 ( 0.977630)
# File benchmark.rb, line 165
def benchmark(caption = "", label_width = nil, format = nil, *labels) # :yield: report
sync = STDOUT.sync
STDOUT.sync = true
label_width ||= 0
label_width += 1
format ||= FORMAT
print ' '*label_width + caption unless caption.empty?
report = Report.new(label_width, format)
results = yield(report)
Array === results and results.grep(Tms).each {|t|
print((labels.shift || t.label || "").ljust(label_width), t.format(format))
}
report.list
ensure
STDOUT.sync = sync unless sync.nil?
end
A simple interface to the benchmark method, bm generates sequential reports
with labels. label_width and labels parameters
have the same meaning as for benchmark.
require 'benchmark' n = 5000000 Benchmark.bm(7) do |x| x.report("for:") { for i in 1..n; a = "1"; end } x.report("times:") { n.times do ; a = "1"; end } x.report("upto:") { 1.upto(n) do ; a = "1"; end } end
Generates:
user system total real for: 0.960000 0.000000 0.960000 ( 0.957966) times: 0.960000 0.000000 0.960000 ( 0.960423) upto: 0.950000 0.000000 0.950000 ( 0.954864)
# File benchmark.rb, line 204
def bm(label_width = 0, *labels, &blk) # :yield: report
benchmark(CAPTION, label_width, FORMAT, *labels, &blk)
end
Sometimes benchmark results are skewed because code executed earlier encounters different garbage collection overheads than that run later. bmbm attempts to minimize this effect by running the tests twice, the first time as a rehearsal in order to get the runtime environment stable, the second time for real. GC.start is executed before the start of each of the real timings; the cost of this is not included in the timings. In reality, though, there’s only so much that bmbm can do, and the results are not guaranteed to be isolated from garbage collection and other effects.
Because bmbm takes two passes through the tests, it can calculate the required label width.
require 'benchmark' array = (1..1000000).map { rand } Benchmark.bmbm do |x| x.report("sort!") { array.dup.sort! } x.report("sort") { array.dup.sort } end
Generates:
Rehearsal -----------------------------------------
sort! 1.440000 0.010000 1.450000 ( 1.446833)
sort 1.440000 0.000000 1.440000 ( 1.448257)
-------------------------------- total: 2.890000sec
user system total real
sort! 1.460000 0.000000 1.460000 ( 1.458065)
sort 1.450000 0.000000 1.450000 ( 1.455963)
bmbm yields a Benchmark::Job object and returns an array of Benchmark::Tms objects.
# File benchmark.rb, line 246
def bmbm(width = 0) # :yield: job
job = Job.new(width)
yield(job)
width = job.width + 1
sync = STDOUT.sync
STDOUT.sync = true
# rehearsal
puts 'Rehearsal '.ljust(width+CAPTION.length,'-')
ets = job.list.inject(Tms.new) { |sum,(label,item)|
print label.ljust(width)
res = Benchmark.measure(&item)
print res.format
sum + res
}.format("total: %tsec")
print " #{ets}\n\n".rjust(width+CAPTION.length+2,'-')
# take
print ' '*width + CAPTION
job.list.map { |label,item|
GC.start
print label.ljust(width)
Benchmark.measure(label, &item).tap { |res| print res }
}
ensure
STDOUT.sync = sync unless sync.nil?
end
Returns the time used to execute the given block as a Benchmark::Tms object. Takes
label option.
require 'benchmark' n = 1000000 time = Benchmark.measure do n.times { a = "1" } end puts time
Generates:
0.220000 0.000000 0.220000 ( 0.227313)
# File benchmark.rb, line 291
def measure(label = "") # :yield:
t0, r0 = Process.times, Process.clock_gettime(Process::CLOCK_MONOTONIC)
yield
t1, r1 = Process.times, Process.clock_gettime(Process::CLOCK_MONOTONIC)
Benchmark::Tms.new(t1.utime - t0.utime,
t1.stime - t0.stime,
t1.cutime - t0.cutime,
t1.cstime - t0.cstime,
r1 - r0,
label)
end