138 lines
4.4 KiB
TeX
138 lines
4.4 KiB
TeX
\section{\module{hotshot} ---
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High performance logging profiler}
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\declaremodule{standard}{hotshot}
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\modulesynopsis{High performance logging profiler, mostly written in C.}
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\moduleauthor{Fred L. Drake, Jr.}{fdrake@acm.org}
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\sectionauthor{Anthony Baxter}{anthony@interlink.com.au}
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\versionadded{2.2}
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This module provides a nicer interface to the \module{_hotshot} C module.
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Hotshot is a replacement for the existing \refmodule{profile} module. As it's
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written mostly in C, it should result in a much smaller performance impact
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than the existing \refmodule{profile} module.
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\begin{notice}[note]
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The \module{hotshot} module focuses on minimizing the overhead
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while profiling, at the expense of long data post-processing times.
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For common usages it is recommended to use \module{cProfile} instead.
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\module{hotshot} is not maintained and might be removed from the
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standard library in the future.
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\end{notice}
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\versionchanged[the results should be more meaningful than in the
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past: the timing core contained a critical bug]{2.5}
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\begin{notice}[warning]
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The \module{hotshot} profiler does not yet work well with threads.
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It is useful to use an unthreaded script to run the profiler over
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the code you're interested in measuring if at all possible.
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\end{notice}
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\begin{classdesc}{Profile}{logfile\optional{, lineevents\optional{,
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linetimings}}}
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The profiler object. The argument \var{logfile} is the name of a log
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file to use for logged profile data. The argument \var{lineevents}
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specifies whether to generate events for every source line, or just on
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function call/return. It defaults to \code{0} (only log function
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call/return). The argument \var{linetimings} specifies whether to
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record timing information. It defaults to \code{1} (store timing
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information).
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\end{classdesc}
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\subsection{Profile Objects \label{hotshot-objects}}
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Profile objects have the following methods:
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\begin{methoddesc}[Profile]{addinfo}{key, value}
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Add an arbitrary labelled value to the profile output.
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\end{methoddesc}
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\begin{methoddesc}[Profile]{close}{}
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Close the logfile and terminate the profiler.
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\end{methoddesc}
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\begin{methoddesc}[Profile]{fileno}{}
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Return the file descriptor of the profiler's log file.
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\end{methoddesc}
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\begin{methoddesc}[Profile]{run}{cmd}
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Profile an \keyword{exec}-compatible string in the script environment.
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The globals from the \refmodule[main]{__main__} module are used as
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both the globals and locals for the script.
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\end{methoddesc}
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\begin{methoddesc}[Profile]{runcall}{func, *args, **keywords}
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Profile a single call of a callable.
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Additional positional and keyword arguments may be passed
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along; the result of the call is returned, and exceptions are
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allowed to propagate cleanly, while ensuring that profiling is
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disabled on the way out.
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\end{methoddesc}
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\begin{methoddesc}[Profile]{runctx}{cmd, globals, locals}
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Evaluate an \keyword{exec}-compatible string in a specific environment.
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The string is compiled before profiling begins.
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\end{methoddesc}
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\begin{methoddesc}[Profile]{start}{}
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Start the profiler.
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\end{methoddesc}
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\begin{methoddesc}[Profile]{stop}{}
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Stop the profiler.
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\end{methoddesc}
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\subsection{Using hotshot data}
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\declaremodule{standard}{hotshot.stats}
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\modulesynopsis{Statistical analysis for Hotshot}
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\versionadded{2.2}
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This module loads hotshot profiling data into the standard \module{pstats}
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Stats objects.
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\begin{funcdesc}{load}{filename}
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Load hotshot data from \var{filename}. Returns an instance
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of the \class{pstats.Stats} class.
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\end{funcdesc}
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\begin{seealso}
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\seemodule{profile}{The \module{profile} module's \class{Stats} class}
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\end{seealso}
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\subsection{Example Usage \label{hotshot-example}}
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Note that this example runs the python ``benchmark'' pystones. It can
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take some time to run, and will produce large output files.
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\begin{verbatim}
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>>> import hotshot, hotshot.stats, test.pystone
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>>> prof = hotshot.Profile("stones.prof")
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>>> benchtime, stones = prof.runcall(test.pystone.pystones)
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>>> prof.close()
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>>> stats = hotshot.stats.load("stones.prof")
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>>> stats.strip_dirs()
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>>> stats.sort_stats('time', 'calls')
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>>> stats.print_stats(20)
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850004 function calls in 10.090 CPU seconds
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Ordered by: internal time, call count
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ncalls tottime percall cumtime percall filename:lineno(function)
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1 3.295 3.295 10.090 10.090 pystone.py:79(Proc0)
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150000 1.315 0.000 1.315 0.000 pystone.py:203(Proc7)
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50000 1.313 0.000 1.463 0.000 pystone.py:229(Func2)
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.
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.
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.
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\end{verbatim}
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