gh-96143: Improve perf profiler docs (#96445)

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Erlend E. Aasland 2022-10-27 15:06:48 +02:00 committed by GitHub
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@ -8,10 +8,11 @@ Python support for the Linux ``perf`` profiler
:author: Pablo Galindo
The Linux ``perf`` profiler is a very powerful tool that allows you to profile and
obtain information about the performance of your application. ``perf`` also has
a very vibrant ecosystem of tools that aid with the analysis of the data that it
produces.
`The Linux perf profiler <https://perf.wiki.kernel.org>`_
is a very powerful tool that allows you to profile and obtain
information about the performance of your application.
``perf`` also has a very vibrant ecosystem of tools
that aid with the analysis of the data that it produces.
The main problem with using the ``perf`` profiler with Python applications is that
``perf`` only allows to get information about native symbols, this is, the names of
@ -25,7 +26,7 @@ fly before the execution of every Python function and it will teach ``perf`` the
relationship between this piece of code and the associated Python function using
`perf map files`_.
.. warning::
.. note::
Support for the ``perf`` profiler is only currently available for Linux on
selected architectures. Check the output of the configure build step or
@ -51,11 +52,11 @@ For example, consider the following script:
if __name__ == "__main__":
baz(1000000)
We can run perf to sample CPU stack traces at 9999 Hertz:
We can run ``perf`` to sample CPU stack traces at 9999 Hertz::
$ perf record -F 9999 -g -o perf.data python my_script.py
Then we can use perf report to analyze the data:
Then we can use ``perf`` report to analyze the data:
.. code-block:: shell-session
@ -101,7 +102,7 @@ As you can see here, the Python functions are not shown in the output, only ``_P
functions use the same C function to evaluate bytecode so we cannot know which Python function corresponds to which
bytecode-evaluating function.
Instead, if we run the same experiment with perf support activated we get:
Instead, if we run the same experiment with ``perf`` support enabled we get:
.. code-block:: shell-session
@ -147,52 +148,58 @@ Instead, if we run the same experiment with perf support activated we get:
Enabling perf profiling mode
----------------------------
How to enable ``perf`` profiling support
----------------------------------------
There are two main ways to activate the perf profiling mode. If you want it to be
active since the start of the Python interpreter, you can use the ``-Xperf`` option:
``perf`` profiling support can either be enabled from the start using
the environment variable :envvar:`PYTHONPERFSUPPORT` or the
:option:`-X perf <-X>` option,
or dynamically using :func:`sys.activate_stack_trampoline` and
:func:`sys.deactivate_stack_trampoline`.
$ python -Xperf my_script.py
The :mod:`!sys` functions take precedence over the :option:`!-X` option,
the :option:`!-X` option takes precedence over the environment variable.
You can also set the :envvar:`PYTHONPERFSUPPORT` to a nonzero value to actiavate perf
profiling mode globally.
Example, using the environment variable::
There is also support for dynamically activating and deactivating the perf
profiling mode by using the APIs in the :mod:`sys` module:
$ PYTHONPERFSUPPORT=1
$ python script.py
$ perf report -g -i perf.data
Example, using the :option:`!-X` option::
$ python -X perf script.py
$ perf report -g -i perf.data
Example, using the :mod:`sys` APIs in file :file:`example.py`:
.. code-block:: python
import sys
sys.activate_stack_trampoline("perf")
import sys
# Run some code with Perf profiling active
sys.activate_stack_trampoline("perf")
do_profiled_stuff()
sys.deactivate_stack_trampoline()
sys.deactivate_stack_trampoline()
non_profiled_stuff()
# Perf profiling is not active anymore
...then::
These APIs can be handy if you want to activate/deactivate profiling mode in
response to a signal or other communication mechanism with your process.
Now we can analyze the data with ``perf report``:
$ perf report -g -i perf.data
$ python ./example.py
$ perf report -g -i perf.data
How to obtain the best results
-------------------------------
------------------------------
For the best results, Python should be compiled with
``CFLAGS="-fno-omit-frame-pointer -mno-omit-leaf-frame-pointer"`` as this allows
profilers to unwind using only the frame pointer and not on DWARF debug
information. This is because as the code that is interposed to allow perf
information. This is because as the code that is interposed to allow ``perf``
support is dynamically generated it doesn't have any DWARF debugging information
available.
You can check if you system has been compiled with this flag by running:
You can check if your system has been compiled with this flag by running::
$ python -m sysconfig | grep 'no-omit-frame-pointer'

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@ -1555,6 +1555,38 @@ always available.
This function has been added on a provisional basis (see :pep:`411`
for details.) Use it only for debugging purposes.
.. function:: activate_stack_trampoline(backend, /)
Activate the stack profiler trampoline *backend*.
The only supported backend is ``"perf"``.
.. availability:: Linux.
.. versionadded:: 3.12
.. seealso::
* :ref:`perf_profiling`
* https://perf.wiki.kernel.org
.. function:: deactivate_stack_trampoline()
Deactivate the current stack profiler trampoline backend.
If no stack profiler is activated, this function has no effect.
.. availability:: Linux.
.. versionadded:: 3.12
.. function:: is_stack_trampoline_active()
Return ``True`` if a stack profiler trampoline is active.
.. availability:: Linux.
.. versionadded:: 3.12
.. function:: _enablelegacywindowsfsencoding()
Changes the :term:`filesystem encoding and error handler` to 'mbcs' and

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@ -538,12 +538,11 @@ Miscellaneous options
development (running from the source tree) then the default is "off".
Note that the "importlib_bootstrap" and "importlib_bootstrap_external"
frozen modules are always used, even if this flag is set to "off".
* ``-X perf`` to activate compatibility mode with the ``perf`` profiler.
When this option is activated, the Linux ``perf`` profiler will be able to
* ``-X perf`` enables support for the Linux ``perf`` profiler.
When this option is provided, the ``perf`` profiler will be able to
report Python calls. This option is only available on some platforms and
will do nothing if is not supported on the current system. The default value
is "off". See also :envvar:`PYTHONPERFSUPPORT` and :ref:`perf_profiling`
for more information.
is "off". See also :envvar:`PYTHONPERFSUPPORT` and :ref:`perf_profiling`.
It also allows passing arbitrary values and retrieving them through the
:data:`sys._xoptions` dictionary.
@ -1048,9 +1047,13 @@ conflict.
.. envvar:: PYTHONPERFSUPPORT
If this variable is set to a nonzero value, it activates compatibility mode
with the ``perf`` profiler so Python calls can be detected by it. See the
:ref:`perf_profiling` section for more information.
If this variable is set to a nonzero value, it enables support for
the Linux ``perf`` profiler so Python calls can be detected by it.
If set to ``0``, disable Linux ``perf`` profiler support.
See also the :option:`-X perf <-X>` command-line option
and :ref:`perf_profiling`.
.. versionadded:: 3.12

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@ -74,6 +74,15 @@ Important deprecations, removals or restrictions:
New Features
============
* Add :ref:`perf_profiling` through the new
environment variable :envvar:`PYTHONPERFSUPPORT`,
the new command-line option :option:`-X perf <-X>`,
as well as the new :func:`sys.activate_stack_trampoline`,
:func:`sys.deactivate_stack_trampoline`,
and :func:`sys.is_stack_trampoline_active` APIs.
(Design by Pablo Galindo. Contributed by Pablo Galindo and Christian Heimes
with contributions from Gregory P. Smith [Google] and Mark Shannon
in :gh:`96123`.)
Other Language Changes
@ -194,6 +203,19 @@ tempfile
The :class:`tempfile.NamedTemporaryFile` function has a new optional parameter
*delete_on_close* (Contributed by Evgeny Zorin in :gh:`58451`.)
sys
---
* Add :func:`sys.activate_stack_trampoline` and
:func:`sys.deactivate_stack_trampoline` for activating and deactivating
stack profiler trampolines,
and :func:`sys.is_stack_trampoline_active` for querying if stack profiler
trampolines are active.
(Contributed by Pablo Galindo and Christian Heimes
with contributions from Gregory P. Smith [Google] and Mark Shannon
in :gh:`96123`.)
Optimizations
=============

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@ -1231,7 +1231,7 @@ PyDoc_STRVAR(sys_activate_stack_trampoline__doc__,
"activate_stack_trampoline($module, backend, /)\n"
"--\n"
"\n"
"Activate the perf profiler trampoline.");
"Activate stack profiler trampoline *backend*.");
#define SYS_ACTIVATE_STACK_TRAMPOLINE_METHODDEF \
{"activate_stack_trampoline", (PyCFunction)sys_activate_stack_trampoline, METH_O, sys_activate_stack_trampoline__doc__},
@ -1268,7 +1268,9 @@ PyDoc_STRVAR(sys_deactivate_stack_trampoline__doc__,
"deactivate_stack_trampoline($module, /)\n"
"--\n"
"\n"
"Dectivate the perf profiler trampoline.");
"Deactivate the current stack profiler trampoline backend.\n"
"\n"
"If no stack profiler is activated, this function has no effect.");
#define SYS_DEACTIVATE_STACK_TRAMPOLINE_METHODDEF \
{"deactivate_stack_trampoline", (PyCFunction)sys_deactivate_stack_trampoline, METH_NOARGS, sys_deactivate_stack_trampoline__doc__},
@ -1286,7 +1288,7 @@ PyDoc_STRVAR(sys_is_stack_trampoline_active__doc__,
"is_stack_trampoline_active($module, /)\n"
"--\n"
"\n"
"Returns *True* if the perf profiler trampoline is active.");
"Return *True* if a stack profiler trampoline is active.");
#define SYS_IS_STACK_TRAMPOLINE_ACTIVE_METHODDEF \
{"is_stack_trampoline_active", (PyCFunction)sys_is_stack_trampoline_active, METH_NOARGS, sys_is_stack_trampoline_active__doc__},
@ -1343,4 +1345,4 @@ sys_is_stack_trampoline_active(PyObject *module, PyObject *Py_UNUSED(ignored))
#ifndef SYS_GETANDROIDAPILEVEL_METHODDEF
#define SYS_GETANDROIDAPILEVEL_METHODDEF
#endif /* !defined(SYS_GETANDROIDAPILEVEL_METHODDEF) */
/*[clinic end generated code: output=15318cdd96b62b06 input=a9049054013a1b77]*/
/*[clinic end generated code: output=2b5e1bc24a3348bd input=a9049054013a1b77]*/

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@ -2127,12 +2127,12 @@ sys.activate_stack_trampoline
backend: str
/
Activate the perf profiler trampoline.
Activate stack profiler trampoline *backend*.
[clinic start generated code]*/
static PyObject *
sys_activate_stack_trampoline_impl(PyObject *module, const char *backend)
/*[clinic end generated code: output=5783cdeb51874b43 input=b09020e3a17c78c5]*/
/*[clinic end generated code: output=5783cdeb51874b43 input=a12df928758a82b4]*/
{
#ifdef PY_HAVE_PERF_TRAMPOLINE
if (strcmp(backend, "perf") == 0) {
@ -2163,12 +2163,14 @@ sys_activate_stack_trampoline_impl(PyObject *module, const char *backend)
/*[clinic input]
sys.deactivate_stack_trampoline
Dectivate the perf profiler trampoline.
Deactivate the current stack profiler trampoline backend.
If no stack profiler is activated, this function has no effect.
[clinic start generated code]*/
static PyObject *
sys_deactivate_stack_trampoline_impl(PyObject *module)
/*[clinic end generated code: output=b50da25465df0ef1 input=491f4fc1ed615736]*/
/*[clinic end generated code: output=b50da25465df0ef1 input=9f629a6be9fe7fc8]*/
{
if (_PyPerfTrampoline_Init(0) < 0) {
return NULL;
@ -2179,12 +2181,12 @@ sys_deactivate_stack_trampoline_impl(PyObject *module)
/*[clinic input]
sys.is_stack_trampoline_active
Returns *True* if the perf profiler trampoline is active.
Return *True* if a stack profiler trampoline is active.
[clinic start generated code]*/
static PyObject *
sys_is_stack_trampoline_active_impl(PyObject *module)
/*[clinic end generated code: output=ab2746de0ad9d293 input=061fa5776ac9dd59]*/
/*[clinic end generated code: output=ab2746de0ad9d293 input=29616b7bf6a0b703]*/
{
#ifdef PY_HAVE_PERF_TRAMPOLINE
if (_PyIsPerfTrampolineActive()) {