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:
Command line
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
From code
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
    Methods
    
  
  
  
    
    
    
      
      Constants
      | PROFILE_CALL_PROC | = | TracePoint.new(*%i[call c_call b_call]) {|tp| # :nodoc: now = Process.times[0] stack = (@@stacks[Thread.current] ||= []) stack.push [now, 0.0] } | 
| PROFILE_RETURN_PROC | = | TracePoint.new(*%i[return c_return b_return]) {|tp| # :nodoc: now = Process.times[0] key = Wrapper.new(tp.defined_class, tp.method_id) stack = (@@stacks[Thread.current] ||= []) if tick = stack.pop threadmap = (@@maps[Thread.current] ||= {}) data = (threadmap[key] ||= [0, 0.0, 0.0, key]) data[0] += 1 cost = now - tick[0] data[1] += cost data[2] += cost - tick[1] stack[-1][1] += cost if stack[-1] end } | 
Instance Public methods
      
        
            
              print_profile(f)
            
            Link
          
          
          
            # File lib/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
            
              start_profile()
            
            Link