frozen_string_literal: true 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
Outputs the results from the profiler.
See Profiler__ for more information.
# File profiler.rb, line 120 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
Starts the profiler.
See Profiler__ for more information.
# File profiler.rb, line 103 def start_profile @@start = Process.times[0] @@stacks = {} @@maps = {} PROFILE_CALL_PROC.enable PROFILE_RETURN_PROC.enable end
Stops the profiler.
See Profiler__ for more information.
# File profiler.rb, line 113 def stop_profile PROFILE_CALL_PROC.disable PROFILE_RETURN_PROC.disable end