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pythongh-124370: Add "howto" for free-threaded Python (python#124371)
* pythongh-124370: Add "howto" for free-threaded Python This is a guide aimed at people writing Python code, as oppposed to the existing guide for C API extension authors. * Add missing new line * Update Doc/howto/free-threading-python.rst Co-authored-by: Jelle Zijlstra <[email protected]> * interned -> immortalized * Apply suggestions from code review Co-authored-by: Hugo van Kemenade <[email protected]> * Update Doc/howto/free-threading-python.rst Co-authored-by: mpage <[email protected]> * Update docs * Apply suggestions from code review Co-authored-by: Carol Willing <[email protected]> * A few more updates * Additional comment on immortal objects * Mention specializing adaptive interpreter * Remove trailing whitespace * Remove mention of C macro --------- Co-authored-by: Jelle Zijlstra <[email protected]> Co-authored-by: Hugo van Kemenade <[email protected]> Co-authored-by: mpage <[email protected]> Co-authored-by: Carol Willing <[email protected]>
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.. _freethreading-python-howto: | ||
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********************************************** | ||
Python experimental support for free threading | ||
********************************************** | ||
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Starting with the 3.13 release, CPython has experimental support for a build of | ||
Python called :term:`free threading` where the :term:`global interpreter lock` | ||
(GIL) is disabled. Free-threaded execution allows for full utilization of the | ||
available processing power by running threads in parallel on available CPU cores. | ||
While not all software will benefit from this automatically, programs | ||
designed with threading in mind will run faster on multi-core hardware. | ||
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**The free-threaded mode is experimental** and work is ongoing to improve it: | ||
expect some bugs and a substantial single-threaded performance hit. | ||
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This document describes the implications of free threading | ||
for Python code. See :ref:`freethreading-extensions-howto` for information on | ||
how to write C extensions that support the free-threaded build. | ||
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.. seealso:: | ||
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:pep:`703` – Making the Global Interpreter Lock Optional in CPython for an | ||
overall description of free-threaded Python. | ||
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Installation | ||
============ | ||
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Starting with Python 3.13, the official macOS and Windows installers | ||
optionally support installing free-threaded Python binaries. The installers | ||
are available at https://www.python.org/downloads/. | ||
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For information on other platforms, see the `Installing a Free-Threaded Python | ||
<https://py-free-threading.github.io/installing_cpython/>`_, a | ||
community-maintained installation guide for installing free-threaded Python. | ||
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When building CPython from source, the :option:`--disable-gil` configure option | ||
should be used to build a free-threaded Python interpreter. | ||
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Identifying free-threaded Python | ||
================================ | ||
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To check if the current interpreter supports free-threading, :option:`python -VV <-V>` | ||
and :attr:`sys.version` contain "experimental free-threading build". | ||
The new :func:`sys._is_gil_enabled` function can be used to check whether | ||
the GIL is actually disabled in the running process. | ||
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The ``sysconfig.get_config_var("Py_GIL_DISABLED")`` configuration variable can | ||
be used to determine whether the build supports free threading. If the variable | ||
is set to ``1``, then the build supports free threading. This is the recommended | ||
mechanism for decisions related to the build configuration. | ||
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The global interpreter lock in free-threaded Python | ||
=================================================== | ||
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Free-threaded builds of CPython support optionally running with the GIL enabled | ||
at runtime using the environment variable :envvar:`PYTHON_GIL` or | ||
the command-line option :option:`-X gil`. | ||
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The GIL may also automatically be enabled when importing a C-API extension | ||
module that is not explicitly marked as supporting free threading. A warning | ||
will be printed in this case. | ||
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In addition to individual package documentation, the following websites track | ||
the status of popular packages support for free threading: | ||
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* https://py-free-threading.github.io/tracking/ | ||
* https://hugovk.github.io/free-threaded-wheels/ | ||
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Thread safety | ||
============= | ||
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The free-threaded build of CPython aims to provide similar thread-safety | ||
behavior at the Python level to the default GIL-enabled build. Built-in | ||
types like :class:`dict`, :class:`list`, and :class:`set` use internal locks | ||
to protect against concurrent modifications in ways that behave similarly to | ||
the GIL. However, Python has not historically guaranteed specific behavior for | ||
concurrent modifications to these built-in types, so this should be treated | ||
as a description of the current implementation, not a guarantee of current or | ||
future behavior. | ||
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.. note:: | ||
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It's recommended to use the :class:`threading.Lock` or other synchronization | ||
primitives instead of relying on the internal locks of built-in types, when | ||
possible. | ||
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Known limitations | ||
================= | ||
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This section describes known limitations of the free-threaded CPython build. | ||
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Immortalization | ||
--------------- | ||
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The free-threaded build of the 3.13 release makes some objects :term:`immortal`. | ||
Immortal objects are not deallocated and have reference counts that are | ||
never modified. This is done to avoid reference count contention that would | ||
prevent efficient multi-threaded scaling. | ||
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An object will be made immortal when a new thread is started for the first time | ||
after the main thread is running. The following objects are immortalized: | ||
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* :ref:`function <user-defined-funcs>` objects declared at the module level | ||
* :ref:`method <instance-methods>` descriptors | ||
* :ref:`code <code-objects>` objects | ||
* :term:`module` objects and their dictionaries | ||
* :ref:`classes <classes>` (type objects) | ||
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Because immortal objects are never deallocated, applications that create many | ||
objects of these types may see increased memory usage. This is expected to be | ||
addressed in the 3.14 release. | ||
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Additionally, numeric and string literals in the code as well as strings | ||
returned by :func:`sys.intern` are also immortalized. This behavior is | ||
expected to remain in the 3.14 free-threaded build. | ||
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Frame objects | ||
------------- | ||
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It is not safe to access :ref:`frame <frame-objects>` objects from other | ||
threads and doing so may cause your program to crash . This means that | ||
:func:`sys._current_frames` is generally not safe to use in a free-threaded | ||
build. Functions like :func:`inspect.currentframe` and :func:`sys._getframe` | ||
are generally safe as long as the resulting frame object is not passed to | ||
another thread. | ||
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Iterators | ||
--------- | ||
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Sharing the same iterator object between multiple threads is generally not | ||
safe and threads may see duplicate or missing elements when iterating or crash | ||
the interpreter. | ||
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Single-threaded performance | ||
--------------------------- | ||
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The free-threaded build has additional overhead when executing Python code | ||
compared to the default GIL-enabled build. In 3.13, this overhead is about | ||
40% on the `pyperformance <https://pyperformance.readthedocs.io/>`_ suite. | ||
Programs that spend most of their time in C extensions or I/O will see | ||
less of an impact. The largest impact is because the specializing adaptive | ||
interpreter (:pep:`659`) is disabled in the free-threaded build. We expect | ||
to re-enable it in a thread-safe way in the 3.14 release. This overhead is | ||
expected to be reduced in upcoming Python release. We are aiming for an | ||
overhead of 10% or less on the pyperformance suite compared to the default | ||
GIL-enabled build. |
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