= ruby-prof
{}[https://travis-ci.org/ruby-prof/ruby-prof]
== Overview
ruby-prof is a fast code profiler for MRI Ruby. Its features include:
* Speed - it is a C extension and therefore many times faster than the standard Ruby profiler.
* Modes - Ruby prof can measure a number of different parameters, including call times, memory usage and object allocations.
* Reports - can generate text and cross-referenced html reports
- Flat Profiles - similar to the reports generated by the standard Ruby profiler
- Graph profiles - similar to GProf, these show how long a method runs, which methods call it and which methods it calls.
- Call tree profiles - outputs results in the calltree format suitable for the KCacheGrind profiling tool.
- Many more -- see reports section of this \README.
* Threads - supports profiling multiple threads simultaneously
== Requirements
ruby-prof requires Ruby 1.9.3 or higher. Please note some ruby
releases have known bugs which cause ruby-prof problems, like
incorrect measurements. We suggest to use the latest minor patch level
release if possible. In particular, on the 2.1 branch of ruby you
should use at least 2.1.7.
If you are running Linux or Unix you'll need a C compiler so the
extension can be compiled when it is installed.
If you are running Windows, then you may need to install the
Windows specific RubyGem which includes an already built extension (see Install section).
== Install
The easiest way to install ruby-prof is by using Ruby Gems. To
install:
gem install ruby-prof
If you're on windows then please install the devkit first so that it
can compile.
== Usage
There are three major options for running ruby-prof: via the command
line, via its convenience API or via its core API.
=== ruby-prof Executable
The first is to use ruby-prof to run the Ruby program you want to
profile. For more information refer to the documentation of the
ruby-prof command.
=== ruby-prof Convenience API
The second way is to use the ruby-prof convenience API to profile
particular segments of code.
require 'ruby-prof'
# profile the code
RubyProf.start
# ... code to profile ...
result = RubyProf.stop
# print a flat profile to text
printer = RubyProf::FlatPrinter.new(result)
printer.print(STDOUT)
Alternatively, you can use a block to tell ruby-prof what to profile:
require 'ruby-prof'
# profile the code
result = RubyProf.profile do
# ... code to profile ...
end
# print a graph profile to text
printer = RubyProf::GraphPrinter.new(result)
printer.print(STDOUT, {})
ruby-prof also supports pausing and resuming profiling runs.
require 'ruby-prof'
# profile the code
RubyProf.start
# ... code to profile ...
RubyProf.pause
# ... other code ...
RubyProf.resume
# ... code to profile ...
result = RubyProf.stop
Note that resume will only work if start has been called previously.
In addition, resume can also take a block:
require 'ruby-prof'
RubyProf.resume do
# ... code to profile...
end
result = RubyProf.stop
With this usage, resume will automatically call pause at the
end of the block.
=== Profiling Selected Threads (Core API)
The convenience API does not support running multiple profiles in
separate threads concurrently, but the RubyProf::Profile API does. In
fact, the convenience layer uses the Profile API internally. It all
revolves around Profile objects:
RubyProf::Profile.new::
Create a profile object given an options hash (see below)
The following options are available when creating Profile instances:
measure_mode::
One of the defined measure modes
exclude_threads::
Array of threads which should not be profiled.
include_threads::
Array of threads which should be profiled. All other threads will
be ignored.
merge_fibers::
Whether profiling data for a given thread's fibers should all be
subsumed under a single entry. Basically only useful to produce
callgrind profiles.
RubyProf::Profile#start::
Start profiling
RubyProf::Profile#pause::
Pause profiling
RubyProf::Profile#resume::
Resume profiling
RubyProf::Profile#stop::
Stop profiling and return self
RubyProf::Profile#profile::
Perform a profile run and return result. Accepts the same arguments
as RubyProf::Profile.new.
== Method Elimination
ruby-prof supports eliminating specific methods and threads from
profiling results. This is useful for reducing connectivity in the
call graph, making it easier to identify the source of performance
problems when using a graph printer.
For example, consider Integer#times: it's hardly ever useful
to know how much time is spent in the method itself. We're much more
interested in how much the passed in block contributes to the time
spent in the method which contains the Integer#times call.
Methods are eliminated from the collected data by calling
eliminate_methods! on the profiling result, before submitting
it to a printer.
result = RubyProf.stop
result.eliminate_methods!([/Integer#times/])
The argument given to eliminate_methods! is either an array
of regular expressions, or the name of a file containing a list of
regular expressions (line separated text).
After eliminating methods the resulting profile will appear exactly as if those methods
had been inlined at their call sites.
== Profiling Rails
To profile a Rails application it is vital to run it using production like
settings (cache classes, cache view lookups, etc.). Otherwise, Rail's
dependency loading code will overwhelm any time spent in the application
itself (our tests show that Rails dependency loading causes a roughly 6x
slowdown). The best way to do this is create a new Rails environment,
profile.rb.
So to profile Rails:
1. Create a new profile.rb environment. Make sure to turn on
cache_classes and
cache_template_loading. Otherwise your profiling results
will be overwhelmed by the time Rails spends loading required
files. You should likely turn off caching.
2. Add the ruby-prof to your gemfile:
group :profile do
gem 'ruby-prof'
end
3. Add the ruby prof rack adapter to your middleware stack. One way to
do this is by adding the following code to config.ru:
if Rails.env.profile?
use Rack::RubyProf, :path => '/temp/profile'
end
The path is where you want profiling results to be stored. By default the
rack adapter will generate a html call graph report and flat text report.
4. Now make a request to your running server. New profiling
information will be generated for each request. Note that each
request will overwrite the profiling reports created by the
previous request!
== Reports
ruby-prof can generate a number of different reports:
* Flat Reports
* Graph Reports
* HTML Graph Reports
* Call graphs
* Call stack reports
* More!
Flat profiles show the overall time spent in each method. They
are a good way of quickly identifying which methods take the most time.
An example of a flat profile and an explanation can be found in
{examples/flat.txt}[http://github.com/ruby-prof/ruby-prof/tree/master/examples/flat.txt].
There are several varieties of these - run ruby-prof --help
Graph profiles also show the overall time spent in each method. In
addition, they also show which methods call the current method and which
methods its calls. Thus they are good for understanding how methods
gets called and provide insight into the flow of your program. An
example text graph profile is located at
{examples/graph.txt}[http://github.com/ruby-prof/ruby-prof/tree/master/examples/graph.txt].
HTML Graph profiles are the same as graph profiles, except output is
generated in hyper-linked HTML. Since graph profiles can be quite large,
the embedded links make it much easier to navigate the results. An
example html graph profile is located at
{examples/graph.html}[http://github.com/ruby-prof/ruby-prof/tree/master/examples/graph.html].
Call graphs output results in the calltree profile format which is used
by KCachegrind. Call graph support was generously donated by Carl
Shimer. More information about the format can be found at the
{KCachegrind}[http://kcachegrind.sourceforge.net/cgi-bin/show.cgi/KcacheGrindCalltreeFormat]
site.
Call stack reports produce a HTML visualization of the time spent in
each execution path of the profiled code. An example can be found at
{examples/stack.html}[http://github.com/ruby-prof/ruby-prof/tree/master/examples/stack.html].
Another good example: http://twitpic.com/28z94a
Finally, there's a so called MultiPrinter which can generate several
reports in one profiling run. See
{examples/multi.stack.html}[http://github.com/ruby-prof/ruby-prof/tree/master/examples/multi.stack.html].
There is also a graphviz .dot visualiser.
== Printers
Reports are created by printers. Supported printers include:
RubyProf::FlatPrinter::
Creates a flat report in text format
RubyProf::FlatPrinterWithLineNumbers::
Same as above but more verbose
RubyProf::GraphPrinter::
Creates a call graph report in text format
RubyProf::GraphHtmlPrinter::
Creates a call graph report in HTML (separate files per thread)
RubyProf::DotPrinter::
Creates a call graph report in GraphViz's DOT format which can be converted to an image
RubyProf::CallTreePrinter::
Creates a call tree report compatible with KCachegrind
RubyProf::CallStackPrinter::
Creates a HTML visualization of the Ruby stack
RubyProf::MultiPrinter::
Uses the other printers to create several reports in one profiling run
To use a printer:
result = RubyProf.stop
printer = RubyProf::GraphPrinter.new(result)
printer.print(STDOUT, :min_percent => 2)
The first parameter is any writable IO object such as STDOUT
or a file. The second parameter, specifies the minimum percentage a
method must take to be printed. Percentages should be specified as
integers in the range 0 to 100. For more information please see the
documentation for the different printers.
The other option is :print_file => true (default false),
which adds the filename to the output (GraphPrinter only).
MultiPrinter differs from the other printers in that it
requires a directory path and a basename for the files it produces.
printer = RubyProf::MultiPrinter.new(result)
printer.print(:path => ".", :profile => "profile")
== Measurements
Depending on the mode and platform, ruby-prof can measure various
aspects of a Ruby program. Supported measurements include:
RubyProf::WALL_TIME::
Wall time measures the real-world time
elapsed between any two moments. If there are other processes
concurrently running on the system that use significant CPU or disk
time during a profiling run then the reported results will be larger
than expected.
RubyProf::PROCESS_TIME::
Process time measures the time used by a process between any two moments.
It is unaffected by other processes concurrently running
on the system. Note that Windows does not support measuring process
times.
RubyProf::CPU_TIME::
CPU time uses the CPU clock counter to measure time. The returned
values are dependent on the correctly setting the CPU's frequency.
This mode is only supported on Pentium or PowerPC platforms (linux only).
RubyProf::ALLOCATIONS::
Object allocation reports show how many objects each method in
a program allocates. This support was added by Sylvain Joyeux
and requires a patched Ruby interpreter. See below.
RubyProf::MEMORY::
Memory usage reports show how much memory each method in a program
uses. This support was added by Alexander Dymo and requires a
patched Ruby interpreter. See below.
RubyProf::GC_TIME::
Garbage collection time reports how much time is spent in Ruby's
garbage collector during a profiling session. This support was added
by Jeremy Kemper and requires a patched Ruby interpreter. See below.
RubyProf::GC_RUNS::
Garbage collection runs report how many times Ruby's garbage collector
is invoked during a profiling session. This support was added by
Jeremy Kemper and requires a patched Ruby interpreter. See below.
== Patching ruby
All of the patches to Ruby are included in the railsexpress patchsets
for rvm, see https://github.com/skaes/rvm-patchsets. You can also use
these patches manually with other ruby managers (ruby-install,
ruby-build, etc.).
Note if you rebuild your ruby with patches you must uninstall and
reinstall the ruby-prof gem to take advantage of the new capabilities.
== Measure modes
To set the measurement:
RubyProf.measure_mode = RubyProf::WALL_TIME
RubyProf.measure_mode = RubyProf::PROCESS_TIME
RubyProf.measure_mode = RubyProf::CPU_TIME
RubyProf.measure_mode = RubyProf::ALLOCATIONS
RubyProf.measure_mode = RubyProf::MEMORY
RubyProf.measure_mode = RubyProf::GC_TIME
RubyProf.measure_mode = RubyProf::GC_RUNS
The default value is RubyProf::WALL_TIME.
You may also specify the measure mode by using the
RUBY_PROF_MEASURE_MODE environment variable:
export RUBY_PROF_MEASURE_MODE=wall
export RUBY_PROF_MEASURE_MODE=process
export RUBY_PROF_MEASURE_MODE=cpu
export RUBY_PROF_MEASURE_MODE=allocations
export RUBY_PROF_MEASURE_MODE=memory
export RUBY_PROF_MEASURE_MODE=gc_time
export RUBY_PROF_MEASURE_MODE=gc_runs
On Linux, process time is measured using the clock method provided
by the C runtime library. Note that the clock method does not
report time spent in the kernel or child processes and therefore
does not measure time spent in methods such as Kernel.sleep method.
If you need to measure these values, then use wall time. Wall time
is measured using the gettimeofday kernel method.
If you set the clock mode to PROCESS_TIME, then timings are
read using the clock method provided by the C runtime library. Note
though, these values are wall times on Windows and not process times
like on Linux. Wall time is measured using the GetLocalTime API.
If you use wall time, the results will be affected by other
processes running on your computer, network delays, disk access,
etc. As result, for the best results, try to make sure your
computer is only performing your profiling run and is
otherwise quiescent.
== Multi-threaded Applications
Unfortunately, Ruby does not provide an internal API for detecting
thread context switches. As a result, the timings ruby-prof reports
for each thread may be slightly inaccurate. In particular, this will
happen for newly spawned threads that go to sleep immediately (their
first call). For instance, if you use Ruby's timeout library to wait
for 2 seconds, the 2 seconds will be assigned to the foreground thread
and not the newly created background thread. These errors can largely
be avoided if the background thread performs any operation before
going to sleep.
== Performance
Significant effort has been put into reducing ruby-prof's overhead
as much as possible. Our tests show that the overhead associated
with profiling code varies considerably with the code being
profiled. Most programs will run approximately twice as slow
while highly recursive programs (like the fibonacci series test)
will run three times slower.
== License
See LICENSE for license information.
== API Documentation
The ruby-prof API documentation for the latest released gem version
can be found here: http://www.rubydoc.info/gems/ruby-prof/
The ruby-prof API documentation for the master branch is available
here: http://www.rubydoc.info/github/ruby-prof/ruby-prof/
== Development
Code is located at https://github.com/ruby-prof/ruby-prof
Google group/mailing list: http://groups.google.com/group/ruby-optimization or open a github issue.