Module: Profiler__
- Defined in:
- lib/profiler.rb
Overview
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
Defined Under Namespace
Classes: Wrapper
Constant Summary collapse
- PROFILE_CALL_PROC =
the map of call data keyed by thread, class and id. Call data contains the call count, total time,
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 =
:nodoc:
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 }
- @@start =
internal values
nil
- @@stacks =
the start time that profiling began
nil
- @@maps =
the map of stacks keyed by thread
nil
Class Method Summary collapse
-
.print_profile(f) ⇒ Object
Outputs the results from the profiler.
-
.start_profile ⇒ Object
Starts the profiler.
-
.stop_profile ⇒ Object
Stops the profiler.
Class Method Details
.print_profile(f) ⇒ Object
Outputs the results from the profiler.
See Profiler__ for more information.
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# File 'lib/profiler.rb', line 119 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 ⇒ Object
Starts the profiler.
See Profiler__ for more information.
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# File 'lib/profiler.rb', line 102 def start_profile @@start = Process.times[0] @@stacks = {} @@maps = {} PROFILE_CALL_PROC.enable PROFILE_RETURN_PROC.enable end |
.stop_profile ⇒ Object
Stops the profiler.
See Profiler__ for more information.
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# File 'lib/profiler.rb', line 112 def stop_profile PROFILE_CALL_PROC.disable PROFILE_RETURN_PROC.disable end |