Maintenance of Ruby 2.0.0 ended on February 24, 2016. Read more
Profile provides a way to Profile your Ruby application.
Profiling your program is a way of determining which methods are called and how long each method takes to complete. This way you can detect which methods are possible bottlenecks.
Profiling your program will slow down your execution time considerably, so activate it only when you need it. Don't confuse benchmarking with profiling.
There are two ways to activate Profiling:
Run your Ruby script with -rprofile
:
ruby -rprofile example.rb
If you're profiling an executable in your $PATH
you can
use ruby -S
:
ruby -rprofile -S some_executable
Just require 'profile':
require 'profile' def slow_method 5000.times do 9999999999999999*999999999 end end def fast_method 5000.times do 9999999999999999+999999999 end end slow_method fast_method
The output in both cases is a report when the execution is over:
ruby -rprofile example.rb % cumulative self self total time seconds seconds calls ms/call ms/call name 68.42 0.13 0.13 2 65.00 95.00 Integer#times 15.79 0.16 0.03 5000 0.01 0.01 Fixnum#* 15.79 0.19 0.03 5000 0.01 0.01 Fixnum#+ 0.00 0.19 0.00 2 0.00 0.00 IO#set_encoding 0.00 0.19 0.00 1 0.00 100.00 Object#slow_method 0.00 0.19 0.00 2 0.00 0.00 Module#method_added 0.00 0.19 0.00 1 0.00 90.00 Object#fast_method 0.00 0.19 0.00 1 0.00 190.00 #toplevel
# File profiler.rb, line 110 def print_profile(f) stop_profile total = Process.times[0] - @@start if total == 0 then total = 0.01 end totals = {} @@maps.values.each do |threadmap| threadmap.each do |key, data| total_data = (totals[key] ||= [0, 0.0, 0.0, key]) total_data[0] += data[0] total_data[1] += data[1] total_data[2] += data[2] end end # Maybe we should show a per thread output and a totals view? data = totals.values data = data.sort_by{|x| -x[2]} sum = 0 f.printf " %% cumulative self self total\n" f.printf " time seconds seconds calls ms/call ms/call name\n" for d in data sum += d[2] f.printf "%6.2f %8.2f %8.2f %8d ", d[2]/total*100, sum, d[2], d[0] f.printf "%8.2f %8.2f %s\n", d[2]*1000/d[0], d[1]*1000/d[0], d[3] end f.printf "%6.2f %8.2f %8.2f %8d ", 0.0, total, 0.0, 1 # ??? f.printf "%8.2f %8.2f %s\n", 0.0, total*1000, "#toplevel" # ??? end