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Edit File : profiler.rb \| Size : 4.54 KB
# 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: # # == Command line # # Run your Ruby script with <code>-rprofile</code>: # # ruby -rprofile example.rb # # If you're profiling an executable in your <code>$PATH</code> you can use # <code>ruby -S</code>: # # ruby -rprofile -S some_executable # # == From code # # Just require 'profile': # # require 'profile' # # def slow_method # 5000.times do # 9999999999999999999999999 # 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 module Profiler__ class Wrapper < Struct.new(:defined_class, :method_id, :hash) # :nodoc: private :defined_class=, :method_id=, :hash= def initialize(klass, mid) super(klass, mid, nil) self.hash = Struct.instance_method(:hash).bind(self).call end def to_s "#{defined_class.inspect}#".sub(/\A\#<Class:(.)>#\z/, '\1.') << method_id.to_s end alias inspect to_s end # internal values @@start = nil # the start time that profiling began @@stacks = nil # the map of stacks keyed by thread @@maps = nil # the map of call data keyed by thread, class and id. Call data contains the call count, total time, 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 } module_function # Starts the profiler. # # See Profiler__ for more information. 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. def stop_profile PROFILE_CALL_PROC.disable PROFILE_RETURN_PROC.disable end # Outputs the results from the profiler. # # See Profiler__ for more information. 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]/total100, 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 end Back

Edit File : profiler.rb | Size : 4.54 KB

# 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:
#
# == Command line
#
# Run your Ruby script with <code>-rprofile</code>:
#
#   ruby -rprofile example.rb
#
# If you're profiling an executable in your <code>$PATH</code> you can use
# <code>ruby -S</code>:
#
#   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

module Profiler__
  class Wrapper < Struct.new(:defined_class, :method_id, :hash) # :nodoc:
    private :defined_class=, :method_id=, :hash=

def initialize(klass, mid)
      super(klass, mid, nil)
      self.hash = Struct.instance_method(:hash).bind(self).call
    end

def to_s
      "#{defined_class.inspect}#".sub(/\A\#<Class:(.*)>#\z/, '\1.') << method_id.to_s
    end
    alias inspect to_s
  end

# internal values
  @@start = nil # the start time that profiling began
  @@stacks = nil # the map of stacks keyed by thread
  @@maps = nil # the map of call data keyed by thread, class and id. Call data contains the call count, total time,
  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
  }
module_function
  # Starts the profiler.
  #
  # See Profiler__ for more information.
  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.
  def stop_profile
    PROFILE_CALL_PROC.disable
    PROFILE_RETURN_PROC.disable
  end
  # Outputs the results from the profiler.
  #
  # See Profiler__ for more information.
  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
end

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