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<?xml version="1.0" encoding="utf-8" ?>
<!DOCTYPE chapter SYSTEM "chapter.dtd">

<chapter>
  <header>
    <copyright>
      <year>2001</year><year>2013</year>
      <holder>Ericsson AB. All Rights Reserved.</holder>
    </copyright>
    <legalnotice>
      Licensed under the Apache License, Version 2.0 (the "License");
      you may not use this file except in compliance with the License.
      You may obtain a copy of the License at
 
          http://www.apache.org/licenses/LICENSE-2.0

      Unless required by applicable law or agreed to in writing, software
      distributed under the License is distributed on an "AS IS" BASIS,
      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
      See the License for the specific language governing permissions and
      limitations under the License.
    
    </legalnotice>

    <title>fprof - The File Trace Profiler</title>
    <prepared>Raimo Niskanen</prepared>
    <responsible>nobody</responsible>
    <docno></docno>
    <approved>nobody</approved>
    <checked>no</checked>
    <date>2001-08-14</date>
    <rev>PA1</rev>
    <file>fprof_chapter.xml</file>
  </header>
  <p><c>fprof</c> is a profiling tool that can be used to get a picture of
    how much processing time different functions consumes and in which
    processes.
    </p>
  <p><c>fprof</c> uses tracing with timestamps to collect profiling
    data. Therfore there is no need for special compilation of any
    module to be profiled.
    </p>
  <p><c>fprof</c> presents wall clock times from the host machine OS,
    with the assumption that OS scheduling will randomly load the
    profiled functions in a fair way. Both <em>own time</em> i.e the
    time used by a function for its own execution, and
    <em>accumulated time</em> i.e execution time including called
    functions. 
    </p>
  <p>Profiling is essentially done in 3 steps:</p>
  <taglist>
    <tag><c>1</c></tag>
    <item>Tracing; to file, as mentioned in the previous paragraph.</item>
    <tag><c>2</c></tag>
    <item>Profiling; the trace file is read and raw profile data is
     collected into an internal RAM storage on the node. During
     this step the trace data may be dumped in text format to file
     or console.</item>
    <tag><c>3</c></tag>
    <item>Analysing; the raw profile data is sorted and dumped
     in text format either to file or console.</item>
  </taglist>
  <p>Since <c>fprof</c> uses trace to file, the runtime performance 
    degradation is minimized, but still far from negligible, 
    especially not for programs that use the filesystem heavily 
    by themselves. Where you place the trace file is also important, 
    e.g on Solaris <c>/tmp</c> is usually a good choice,
    while any NFS mounted disk is a lousy choice.
    </p>
  <p>Fprof can also skip the file step and trace to a tracer process
    of its own that does the profiling in runtime.
    </p>
  <p>The following sections show some examples of how to profile with
    Fprof. See also the reference manual 
    <seealso marker="fprof">fprof(3)</seealso>.
    </p>

  <section>
    <title>Profiling from the source code</title>
    <p>If you can edit and recompile the source code, it is convenient 
      to insert <c>fprof:trace(start)</c> and 
      <c>fprof:trace(stop)</c> before and after the code to be
      profiled. All spawned processes are also traced. If you want
      some other filename than the default try
      <c>fprof:trace(start, "my_fprof.trace")</c>.
      </p>
    <p>Then read the trace file and create the raw profile data with 
      <c>fprof:profile()</c>, or perhaps 
      <c>fprof:profile(file, "my_fprof.trace")</c> for non-default
      filename. 
      </p>
    <p>Finally create an informative table dumped on the console with
      <c>fprof:analyse()</c>, or on file with
      <c>fprof:analyse(dest, [])</c>, or perhaps even 
      <c>fprof:analyse([{dest, "my_fprof.analysis"}, {cols, 120}])</c>
      for a wider listing on non-default filename.
      </p>
    <p>See the <seealso marker="fprof">fprof(3)</seealso> manual page
      for more options and arguments to the functions
      <seealso marker="fprof#trace">trace</seealso>,
      <seealso marker="fprof#profile">profile</seealso>
      and 
      <seealso marker="fprof#analyse">analyse</seealso>.
      </p>
  </section>

  <section>
    <title>Profiling a function</title>
    <p>If you have one function that does the task that you want to
      profile, and the function returns when the profiling should
      stop, it is convenient to use 
      <c>fprof:apply(Module, Function, Args)</c> and related for the
      tracing step.
      </p>
    <p>If the tracing should continue after the function returns, for
      example if it is a start function that spawns processes to be
      profiled, you can use 
      <c>fprof:apply(M, F, Args, [continue | OtherOpts])</c>. 
      The tracing has to be stopped at a suitable later time using
      <c>fprof:trace(stop)</c>.
      </p>
  </section>

  <section>
    <title>Immediate profiling</title>
    <p>It is also possible to trace immediately into the profiling
      process that creates the raw profile data, that is to short
      circuit the tracing and profiling steps so that the filesystem
      is not used.
      </p>
    <p>Do something like this:</p>
    <pre>
{ok, Tracer} = fprof:profile(start),
fprof:trace([start, {tracer, Tracer}]),
%% Code to profile
fprof:trace(stop);</pre>
    <p>This puts less load on the filesystem, but much more on the
      Erlang runtime system.
      </p>
  </section>
</chapter>