Doc/c-api/memory.rst
.. highlight:: c
.. _memory:
Memory Management
.. _memoryoverview:
Memory management in Python involves a private heap containing all Python objects and data structures. The management of this private heap is ensured internally by the Python memory manager. The Python memory manager has different components which deal with various dynamic storage management aspects, like sharing, segmentation, preallocation or caching.
At the lowest level, a raw memory allocator ensures that there is enough room in the private heap for storing all Python-related data by interacting with the memory manager of the operating system. On top of the raw memory allocator, several object-specific allocators operate on the same heap and implement distinct memory management policies adapted to the peculiarities of every object type. For example, integer objects are managed differently within the heap than strings, tuples or dictionaries because integers imply different storage requirements and speed/space tradeoffs. The Python memory manager thus delegates some of the work to the object-specific allocators, but ensures that the latter operate within the bounds of the private heap.
It is important to understand that the management of the Python heap is performed by the interpreter itself and that the user has no control over it, even if they regularly manipulate object pointers to memory blocks inside that heap. The allocation of heap space for Python objects and other internal buffers is performed on demand by the Python memory manager through the Python/C API functions listed in this document.
.. index:: single: malloc (C function) single: calloc (C function) single: realloc (C function) single: free (C function)
To avoid memory corruption, extension writers should never try to operate on
Python objects with the functions exported by the C library: :c:func:malloc,
:c:func:calloc, :c:func:realloc and :c:func:free. This will result in mixed
calls between the C allocator and the Python memory manager with fatal
consequences, because they implement different algorithms and operate on
different heaps. However, one may safely allocate and release memory blocks
with the C library allocator for individual purposes, as shown in the following
example::
PyObject *res; char *buf = (char ) malloc(BUFSIZ); / for I/O */
if (buf == NULL) return PyErr_NoMemory(); ...Do some I/O operation involving buf... res = PyBytes_FromString(buf); free(buf); /* malloc'ed */ return res;
In this example, the memory request for the I/O buffer is handled by the C library allocator. The Python memory manager is involved only in the allocation of the bytes object returned as a result.
In most situations, however, it is recommended to allocate memory from the Python heap specifically because the latter is under control of the Python memory manager. For example, this is required when the interpreter is extended with new object types written in C. Another reason for using the Python heap is the desire to inform the Python memory manager about the memory needs of the extension module. Even when the requested memory is used exclusively for internal, highly specific purposes, delegating all memory requests to the Python memory manager causes the interpreter to have a more accurate image of its memory footprint as a whole. Consequently, under certain circumstances, the Python memory manager may or may not trigger appropriate actions, like garbage collection, memory compaction or other preventive procedures. Note that by using the C library allocator as shown in the previous example, the allocated memory for the I/O buffer escapes completely the Python memory manager.
.. seealso::
The :envvar:PYTHONMALLOC environment variable can be used to configure
the memory allocators used by Python.
The :envvar:PYTHONMALLOCSTATS environment variable can be used to print
statistics of the :ref:pymalloc memory allocator <pymalloc> every time a
new pymalloc object arena is created, and on shutdown.
.. _allocator-domains:
All allocating functions belong to one of three different "domains" (see also
:c:type:PyMemAllocatorDomain). These domains represent different allocation
strategies and are optimized for different purposes. The specific details on
how every domain allocates memory or what internal functions each domain calls
is considered an implementation detail, but for debugging purposes a simplified
table can be found at :ref:default-memory-allocators.
The APIs used to allocate and free a block of memory must be from the same domain.
For example, :c:func:PyMem_Free must be used to free memory allocated using :c:func:PyMem_Malloc.
The three allocation domains are:
Raw domain: intended for allocating memory for general-purpose memory
buffers where the allocation must go to the system allocator or where the
allocator can operate without an :term:attached thread state. The memory
is requested directly from the system. See :ref:Raw Memory Interface <raw-memoryinterface>.
"Mem" domain: intended for allocating memory for Python buffers and
general-purpose memory buffers where the allocation must be performed with
an :term:attached thread state. The memory is taken from the Python private heap.
See :ref:Memory Interface <memoryinterface>.
Object domain: intended for allocating memory for Python objects. The
memory is taken from the Python private heap. See :ref:Object allocators <objectinterface>.
.. note::
The :term:free-threaded <free threading> build requires that only Python objects are allocated using the "object" domain
and that all Python objects are allocated using that domain. This differs from the prior Python versions,
where this was only a best practice and not a hard requirement.
For example, buffers (non-Python objects) should be allocated using :c:func:PyMem_Malloc,
:c:func:PyMem_RawMalloc, or :c:func:malloc, but not :c:func:PyObject_Malloc.
See :ref:Memory Allocation APIs <free-threaded-memory-allocation>.
.. _raw-memoryinterface:
The following function sets are wrappers to the system allocator. These
functions are thread-safe, so a :term:thread state does not
need to be :term:attached <attached thread state>.
The :ref:default raw memory allocator <default-memory-allocators> uses
the following functions: :c:func:malloc, :c:func:calloc, :c:func:realloc
and :c:func:!free; call malloc(1) (or calloc(1, 1)) when requesting
zero bytes.
.. versionadded:: 3.4
.. c:function:: void* PyMem_RawMalloc(size_t n)
Allocates n bytes and returns a pointer of type :c:expr:void* to the
allocated memory, or NULL if the request fails.
Requesting zero bytes returns a distinct non-NULL pointer if possible, as
if PyMem_RawMalloc(1) had been called instead. The memory will not have
been initialized in any way.
.. c:function:: void* PyMem_RawCalloc(size_t nelem, size_t elsize)
Allocates nelem elements each whose size in bytes is elsize and returns
a pointer of type :c:expr:void* to the allocated memory, or NULL if the
request fails. The memory is initialized to zeros.
Requesting zero elements or elements of size zero bytes returns a distinct
non-NULL pointer if possible, as if PyMem_RawCalloc(1, 1) had been
called instead.
.. versionadded:: 3.5
.. c:function:: void* PyMem_RawRealloc(void *p, size_t n)
Resizes the memory block pointed to by p to n bytes. The contents will be unchanged to the minimum of the old and the new sizes.
If p is NULL, the call is equivalent to PyMem_RawMalloc(n); else if
n is equal to zero, the memory block is resized but is not freed, and the
returned pointer is non-NULL.
Unless p is NULL, it must have been returned by a previous call to
:c:func:PyMem_RawMalloc, :c:func:PyMem_RawRealloc or
:c:func:PyMem_RawCalloc.
If the request fails, :c:func:PyMem_RawRealloc returns NULL and p
remains a valid pointer to the previous memory area.
.. c:function:: void PyMem_RawFree(void *p)
Frees the memory block pointed to by p, which must have been returned by a
previous call to :c:func:PyMem_RawMalloc, :c:func:PyMem_RawRealloc or
:c:func:PyMem_RawCalloc. Otherwise, or if PyMem_RawFree(p) has been
called before, undefined behavior occurs.
If p is NULL, no operation is performed.
.. _memoryinterface:
The following function sets, modeled after the ANSI C standard, but specifying behavior when requesting zero bytes, are available for allocating and releasing memory from the Python heap.
In the GIL-enabled build (default build) the
:ref:default memory allocator <default-memory-allocators> uses the
:ref:pymalloc memory allocator <pymalloc>, whereas in the
:term:free-threaded build, the default is the
:ref:mimalloc memory allocator <mimalloc> instead.
.. warning::
There must be an :term:attached thread state when using these functions.
.. versionchanged:: 3.6
The default allocator is now pymalloc instead of system :c:func:malloc.
.. versionchanged:: 3.13
In the :term:free-threaded <free threading> build, the default allocator
is now :ref:mimalloc <mimalloc>.
.. c:function:: void* PyMem_Malloc(size_t n)
Allocates n bytes and returns a pointer of type :c:expr:void* to the
allocated memory, or NULL if the request fails.
Requesting zero bytes returns a distinct non-NULL pointer if possible, as
if PyMem_Malloc(1) had been called instead. The memory will not have
been initialized in any way.
.. c:function:: void* PyMem_Calloc(size_t nelem, size_t elsize)
Allocates nelem elements each whose size in bytes is elsize and returns
a pointer of type :c:expr:void* to the allocated memory, or NULL if the
request fails. The memory is initialized to zeros.
Requesting zero elements or elements of size zero bytes returns a distinct
non-NULL pointer if possible, as if PyMem_Calloc(1, 1) had been called
instead.
.. versionadded:: 3.5
.. c:function:: void* PyMem_Realloc(void *p, size_t n)
Resizes the memory block pointed to by p to n bytes. The contents will be unchanged to the minimum of the old and the new sizes.
If p is NULL, the call is equivalent to PyMem_Malloc(n); else if n
is equal to zero, the memory block is resized but is not freed, and the
returned pointer is non-NULL.
Unless p is NULL, it must have been returned by a previous call to
:c:func:PyMem_Malloc, :c:func:PyMem_Realloc or :c:func:PyMem_Calloc.
If the request fails, :c:func:PyMem_Realloc returns NULL and p remains
a valid pointer to the previous memory area.
.. c:function:: void PyMem_Free(void *p)
Frees the memory block pointed to by p, which must have been returned by a
previous call to :c:func:PyMem_Malloc, :c:func:PyMem_Realloc or
:c:func:PyMem_Calloc. Otherwise, or if PyMem_Free(p) has been called
before, undefined behavior occurs.
If p is NULL, no operation is performed.
The following type-oriented macros are provided for convenience. Note that TYPE refers to any C type.
.. c:macro:: PyMem_New(TYPE, n)
Same as :c:func:PyMem_Malloc, but allocates (n * sizeof(TYPE)) bytes of
memory. Returns a pointer cast to TYPE*. The memory will not have
been initialized in any way.
.. c:macro:: PyMem_Resize(p, TYPE, n)
Same as :c:func:PyMem_Realloc, but the memory block is resized to (n * sizeof(TYPE)) bytes. Returns a pointer cast to TYPE*. On return,
p will be a pointer to the new memory area, or NULL in the event of
failure.
This is a C preprocessor macro; p is always reassigned. Save the original value of p to avoid losing memory when handling errors.
.. c:function:: void PyMem_Del(void *p)
Same as :c:func:PyMem_Free.
These are :term:soft deprecated aliases to existing functions and macros.
They exist solely for backwards compatibility.
.. list-table:: :widths: auto :header-rows: 1
PyMem_MallocPyMem_NewPyMem_ReallocPyMem_ResizePyMem_FreePyMem_Free.. versionchanged:: 3.4
The macros are now aliases of the corresponding functions and macros. Previously, their behavior was the same, but their use did not necessarily preserve binary compatibility across Python versions.
.. deprecated:: 2.0
.. _objectinterface:
The following function sets, modeled after the ANSI C standard, but specifying behavior when requesting zero bytes, are available for allocating and releasing memory from the Python heap.
.. note::
There is no guarantee that the memory returned by these allocators can be
successfully cast to a Python object when intercepting the allocating
functions in this domain by the methods described in
the :ref:Customize Memory Allocators <customize-memory-allocators> section.
The :ref:default object allocator <default-memory-allocators> uses the
:ref:pymalloc memory allocator <pymalloc>. In the
:term:free-threaded <free threading> build, the default is the
:ref:mimalloc memory allocator <mimalloc> instead.
.. warning::
There must be an :term:attached thread state when using these functions.
.. c:function:: void* PyObject_Malloc(size_t n)
Allocates n bytes and returns a pointer of type :c:expr:void* to the
allocated memory, or NULL if the request fails.
Requesting zero bytes returns a distinct non-NULL pointer if possible, as
if PyObject_Malloc(1) had been called instead. The memory will not have
been initialized in any way.
.. c:function:: void* PyObject_Calloc(size_t nelem, size_t elsize)
Allocates nelem elements each whose size in bytes is elsize and returns
a pointer of type :c:expr:void* to the allocated memory, or NULL if the
request fails. The memory is initialized to zeros.
Requesting zero elements or elements of size zero bytes returns a distinct
non-NULL pointer if possible, as if PyObject_Calloc(1, 1) had been called
instead.
.. versionadded:: 3.5
.. c:function:: void* PyObject_Realloc(void *p, size_t n)
Resizes the memory block pointed to by p to n bytes. The contents will be unchanged to the minimum of the old and the new sizes.
If p is NULL, the call is equivalent to PyObject_Malloc(n); else if n
is equal to zero, the memory block is resized but is not freed, and the
returned pointer is non-NULL.
Unless p is NULL, it must have been returned by a previous call to
:c:func:PyObject_Malloc, :c:func:PyObject_Realloc or :c:func:PyObject_Calloc.
If the request fails, :c:func:PyObject_Realloc returns NULL and p remains
a valid pointer to the previous memory area.
.. c:function:: void PyObject_Free(void *p)
Frees the memory block pointed to by p, which must have been returned by a
previous call to :c:func:PyObject_Malloc, :c:func:PyObject_Realloc or
:c:func:PyObject_Calloc. Otherwise, or if PyObject_Free(p) has been called
before, undefined behavior occurs.
If p is NULL, no operation is performed.
Do not call this directly to free an object's memory; call the type's
:c:member:~PyTypeObject.tp_free slot instead.
Do not use this for memory allocated by :c:macro:PyObject_GC_New or
:c:macro:PyObject_GC_NewVar; use :c:func:PyObject_GC_Del instead.
.. seealso::
* :c:func:`PyObject_GC_Del` is the equivalent of this function for memory
allocated by types that support garbage collection.
* :c:func:`PyObject_Malloc`
* :c:func:`PyObject_Realloc`
* :c:func:`PyObject_Calloc`
* :c:macro:`PyObject_New`
* :c:macro:`PyObject_NewVar`
* :c:func:`PyType_GenericAlloc`
* :c:member:`~PyTypeObject.tp_free`
.. _default-memory-allocators:
Default memory allocators:
=================================== ======================= ==================== ====================== ======================
Configuration Name PyMem_RawMalloc PyMem_Malloc PyObject_Malloc
=================================== ======================= ==================== ====================== ======================
Release build "pymalloc" malloc pymalloc pymalloc
Debug build "pymalloc_debug" malloc + debug pymalloc + debug pymalloc + debug
Release build, without pymalloc "malloc" malloc malloc malloc
Debug build, without pymalloc "malloc_debug" malloc + debug malloc + debug malloc + debug
Free-threaded build "mimalloc" mimalloc mimalloc mimalloc
Free-threaded debug build "mimalloc_debug" mimalloc + debug mimalloc + debug mimalloc + debug
=================================== ======================= ==================== ====================== ======================
Legend:
PYTHONMALLOC environment variable.malloc: system allocators from the standard C library, C functions:
:c:func:malloc, :c:func:calloc, :c:func:realloc and :c:func:free.pymalloc: :ref:pymalloc memory allocator <pymalloc>.mimalloc: :ref:mimalloc memory allocator <mimalloc>.debug hooks on the Python memory allocators <pymem-debug-hooks>.Python build in debug mode <debug-build>... _customize-memory-allocators:
.. versionadded:: 3.4
.. c:type:: PyMemAllocatorEx
Structure used to describe a memory block allocator. The structure has the following fields:
+----------------------------------------------------------+---------------------------------------+
| Field | Meaning |
+==========================================================+=======================================+
| void *ctx | user context passed as first argument |
+----------------------------------------------------------+---------------------------------------+
| void* malloc(void *ctx, size_t size) | allocate a memory block |
+----------------------------------------------------------+---------------------------------------+
| void* calloc(void *ctx, size_t nelem, size_t elsize) | allocate a memory block initialized |
| | with zeros |
+----------------------------------------------------------+---------------------------------------+
| void* realloc(void *ctx, void *ptr, size_t new_size) | allocate or resize a memory block |
+----------------------------------------------------------+---------------------------------------+
| void free(void *ctx, void *ptr) | free a memory block |
+----------------------------------------------------------+---------------------------------------+
.. versionchanged:: 3.5
The :c:type:!PyMemAllocator structure was renamed to
:c:type:PyMemAllocatorEx and a new calloc field was added.
.. c:type:: PyMemAllocatorDomain
Enum used to identify an allocator domain. Domains:
.. c:namespace:: NULL
.. c:macro:: PYMEM_DOMAIN_RAW
Functions:
* :c:func:`PyMem_RawMalloc`
* :c:func:`PyMem_RawRealloc`
* :c:func:`PyMem_RawCalloc`
* :c:func:`PyMem_RawFree`
.. c:macro:: PYMEM_DOMAIN_MEM
Functions:
* :c:func:`PyMem_Malloc`,
* :c:func:`PyMem_Realloc`
* :c:func:`PyMem_Calloc`
* :c:func:`PyMem_Free`
.. c:macro:: PYMEM_DOMAIN_OBJ
Functions:
* :c:func:`PyObject_Malloc`
* :c:func:`PyObject_Realloc`
* :c:func:`PyObject_Calloc`
* :c:func:`PyObject_Free`
.. c:function:: void PyMem_GetAllocator(PyMemAllocatorDomain domain, PyMemAllocatorEx *allocator)
Get the memory block allocator of the specified domain.
.. c:function:: void PyMem_SetAllocator(PyMemAllocatorDomain domain, PyMemAllocatorEx *allocator)
Set the memory block allocator of the specified domain.
The new allocator must return a distinct non-NULL pointer when requesting
zero bytes.
For the :c:macro:PYMEM_DOMAIN_RAW domain, the allocator must be
thread-safe: a :term:thread state is not :term:attached <attached thread state>
when the allocator is called.
For the remaining domains, the allocator must also be thread-safe:
the allocator may be called in different interpreters that do not
share a :term:GIL.
If the new allocator is not a hook (does not call the previous allocator),
the :c:func:PyMem_SetupDebugHooks function must be called to reinstall the
debug hooks on top on the new allocator.
See also :c:member:PyPreConfig.allocator and :ref:Preinitialize Python with PyPreConfig <c-preinit>.
.. warning::
:c:func:`PyMem_SetAllocator` does have the following contract:
* It can be called after :c:func:`Py_PreInitialize` and before
:c:func:`Py_InitializeFromConfig` to install a custom memory
allocator. There are no restrictions over the installed allocator
other than the ones imposed by the domain (for instance, the Raw
Domain allows the allocator to be called without an :term:`attached thread state`).
See :ref:`the section on allocator domains <allocator-domains>` for more
information.
* If called after Python has finish initializing (after
:c:func:`Py_InitializeFromConfig` has been called) the allocator
**must** wrap the existing allocator. Substituting the current
allocator for some other arbitrary one is **not supported**.
.. versionchanged:: 3.12 All allocators must be thread-safe.
.. c:function:: void PyMem_SetupDebugHooks(void)
Setup :ref:debug hooks in the Python memory allocators <pymem-debug-hooks>
to detect memory errors.
.. _pymem-debug-hooks:
When :ref:Python is built in debug mode <debug-build>, the
:c:func:PyMem_SetupDebugHooks function is called at the :ref:Python preinitialization <c-preinit> to setup debug hooks on Python memory allocators
to detect memory errors.
The :envvar:PYTHONMALLOC environment variable can be used to install debug
hooks on a Python compiled in release mode (ex: PYTHONMALLOC=debug).
The :c:func:PyMem_SetupDebugHooks function can be used to set debug hooks
after calling :c:func:PyMem_SetAllocator.
These debug hooks fill dynamically allocated memory blocks with special,
recognizable bit patterns. Newly allocated memory is filled with the byte
0xCD (PYMEM_CLEANBYTE), freed memory is filled with the byte 0xDD
(PYMEM_DEADBYTE). Memory blocks are surrounded by "forbidden bytes"
filled with the byte 0xFD (PYMEM_FORBIDDENBYTE). Strings of these bytes
are unlikely to be valid addresses, floats, or ASCII strings.
Runtime checks:
PyObject_Free is
called on a memory block allocated by :c:func:PyMem_Malloc.attached thread state when
allocator functions of :c:macro:PYMEM_DOMAIN_OBJ (ex:
:c:func:PyObject_Malloc) and :c:macro:PYMEM_DOMAIN_MEM (ex:
:c:func:PyMem_Malloc) domains are called.On error, the debug hooks use the :mod:tracemalloc module to get the
traceback where a memory block was allocated. The traceback is only displayed
if :mod:tracemalloc is tracing Python memory allocations and the memory block
was traced.
Let S = sizeof(size_t). 2*S bytes are added at each end of each block
of N bytes requested. The memory layout is like so, where p represents the
address returned by a malloc-like or realloc-like function (p[i:j] means
the slice of bytes from *(p+i) inclusive up to *(p+j) exclusive; note
that the treatment of negative indices differs from a Python slice):
p[-2*S:-S]
Number of bytes originally asked for. This is a size_t, big-endian (easier
to read in a memory dump).
p[-S]
API identifier (ASCII character):
* ``'r'`` for :c:macro:`PYMEM_DOMAIN_RAW`.
* ``'m'`` for :c:macro:`PYMEM_DOMAIN_MEM`.
* ``'o'`` for :c:macro:`PYMEM_DOMAIN_OBJ`.
p[-S+1:0]
Copies of PYMEM_FORBIDDENBYTE. Used to catch under- writes and reads.
p[0:N]
The requested memory, filled with copies of PYMEM_CLEANBYTE, used to catch
reference to uninitialized memory. When a realloc-like function is called
requesting a larger memory block, the new excess bytes are also filled with
PYMEM_CLEANBYTE. When a free-like function is called, these are
overwritten with PYMEM_DEADBYTE, to catch reference to freed memory. When
a realloc- like function is called requesting a smaller memory block, the
excess old bytes are also filled with PYMEM_DEADBYTE.
p[N:N+S]
Copies of PYMEM_FORBIDDENBYTE. Used to catch over- writes and reads.
p[N+S:N+2*S]
Only used if the PYMEM_DEBUG_SERIALNO macro is defined (not defined by
default).
A serial number, incremented by 1 on each call to a malloc-like or
realloc-like function. Big-endian :c:type:`size_t`. If "bad memory" is detected
later, the serial number gives an excellent way to set a breakpoint on the
next run, to capture the instant at which this block was passed out. The
static function bumpserialno() in obmalloc.c is the only place the serial
number is incremented, and exists so you can set such a breakpoint easily.
A realloc-like or free-like function first checks that the PYMEM_FORBIDDENBYTE bytes at each end are intact. If they've been altered, diagnostic output is written to stderr, and the program is aborted via Py_FatalError(). The other main failure mode is provoking a memory error when a program reads up one of the special bit patterns and tries to use it as an address. If you get in a debugger then and look at the object, you're likely to see that it's entirely filled with PYMEM_DEADBYTE (meaning freed memory is getting used) or PYMEM_CLEANBYTE (meaning uninitialized memory is getting used).
.. versionchanged:: 3.6
The :c:func:PyMem_SetupDebugHooks function now also works on Python
compiled in release mode. On error, the debug hooks now use
:mod:tracemalloc to get the traceback where a memory block was allocated.
The debug hooks now also check if there is an :term:attached thread state when
functions of :c:macro:PYMEM_DOMAIN_OBJ and :c:macro:PYMEM_DOMAIN_MEM domains are
called.
.. versionchanged:: 3.8
Byte patterns 0xCB (PYMEM_CLEANBYTE), 0xDB (PYMEM_DEADBYTE)
and 0xFB (PYMEM_FORBIDDENBYTE) have been replaced with 0xCD,
0xDD and 0xFD to use the same values than Windows CRT debug
malloc() and free().
.. _pymalloc:
Python has a pymalloc allocator optimized for small objects (smaller or equal
to 512 bytes) with a short lifetime. It uses memory mappings called "arenas"
with a fixed size of either 256 KiB on 32-bit platforms or 1 MiB on 64-bit
platforms. When Python is configured with :option:--with-pymalloc-hugepages,
the arena size on 64-bit platforms is increased to 2 MiB to match the huge page
size, and arena allocation will attempt to use huge pages (MAP_HUGETLB on
Linux, MEM_LARGE_PAGES on Windows) with automatic fallback to regular pages.
It falls back to :c:func:PyMem_RawMalloc and
:c:func:PyMem_RawRealloc for allocations larger than 512 bytes.
pymalloc is the :ref:default allocator <default-memory-allocators> of the
:c:macro:PYMEM_DOMAIN_MEM (ex: :c:func:PyMem_Malloc) and
:c:macro:PYMEM_DOMAIN_OBJ (ex: :c:func:PyObject_Malloc) domains.
The arena allocator uses the following functions:
!VirtualAlloc and :c:func:!VirtualFree on Windows,!mmap and :c:func:!munmap if available,malloc and :c:func:free otherwise.This allocator is disabled if Python is configured with the
:option:--without-pymalloc option. It can also be disabled at runtime using
the :envvar:PYTHONMALLOC environment variable (ex: PYTHONMALLOC=malloc).
Typically, it makes sense to disable the pymalloc allocator when building
Python with AddressSanitizer (:option:--with-address-sanitizer) which helps
uncover low level bugs within the C code.
.. versionadded:: 3.4
.. c:type:: PyObjectArenaAllocator
Structure used to describe an arena allocator. The structure has three fields:
+--------------------------------------------------+---------------------------------------+
| Field | Meaning |
+==================================================+=======================================+
| void *ctx | user context passed as first argument |
+--------------------------------------------------+---------------------------------------+
| void* alloc(void *ctx, size_t size) | allocate an arena of size bytes |
+--------------------------------------------------+---------------------------------------+
| void free(void *ctx, void *ptr, size_t size) | free an arena |
+--------------------------------------------------+---------------------------------------+
.. c:function:: void PyObject_GetArenaAllocator(PyObjectArenaAllocator *allocator)
Get the arena allocator.
.. c:function:: void PyObject_SetArenaAllocator(PyObjectArenaAllocator *allocator)
Set the arena allocator.
.. _mimalloc:
.. versionadded:: 3.13
Python supports the mimalloc <https://github.com/microsoft/mimalloc/>__
allocator when the underlying platform support is available.
mimalloc is a general purpose allocator with excellent performance
characteristics, initially developed by Daan Leijen for the runtime systems
of the Koka and Lean languages.
Unlike :ref:pymalloc <pymalloc>, which is optimized for small objects (512
bytes or fewer), mimalloc handles allocations of any size.
In the :term:free-threaded <free threading> build, mimalloc is the default
and required allocator for the :c:macro:PYMEM_DOMAIN_MEM and
:c:macro:PYMEM_DOMAIN_OBJ domains. It cannot be disabled in free-threaded
builds. The free-threaded build uses per-thread mimalloc heaps, which allows
allocation and deallocation to proceed without locking in most cases.
In the default (non-free-threaded) build, mimalloc is available but not the
default allocator. It can be selected at runtime using
:envvar:PYTHONMALLOC\ =mimalloc (or mimalloc_debug to include
:ref:debug hooks <pymem-debug-hooks>). It can be disabled at build time
using the :option:--without-mimalloc configure option, but this option
cannot be combined with :option:--disable-gil.
.. versionadded:: 3.7
.. c:function:: int PyTraceMalloc_Track(unsigned int domain, uintptr_t ptr, size_t size)
Track an allocated memory block in the :mod:tracemalloc module.
Return 0 on success, return -1 on error (failed to allocate memory to
store the trace). Return -2 if tracemalloc is disabled.
If memory block is already tracked, update the existing trace.
.. c:function:: int PyTraceMalloc_Untrack(unsigned int domain, uintptr_t ptr)
Untrack an allocated memory block in the :mod:tracemalloc module.
Do nothing if the block was not tracked.
Return -2 if tracemalloc is disabled, otherwise return 0.
.. _memoryexamples:
Here is the example from section :ref:memoryoverview, rewritten so that the
I/O buffer is allocated from the Python heap by using the first function set::
PyObject *res; char *buf = (char ) PyMem_Malloc(BUFSIZ); / for I/O */
if (buf == NULL) return PyErr_NoMemory(); /* ...Do some I/O operation involving buf... / res = PyBytes_FromString(buf); PyMem_Free(buf); / allocated with PyMem_Malloc */ return res;
The same code using the type-oriented function set::
PyObject *res; char buf = PyMem_New(char, BUFSIZ); / for I/O */
if (buf == NULL) return PyErr_NoMemory(); /* ...Do some I/O operation involving buf... / res = PyBytes_FromString(buf); PyMem_Free(buf); / allocated with PyMem_New */ return res;
Note that in the two examples above, the buffer is always manipulated via functions belonging to the same set. Indeed, it is required to use the same memory API family for a given memory block, so that the risk of mixing different allocators is reduced to a minimum. The following code sequence contains two errors, one of which is labeled as fatal because it mixes two different allocators operating on different heaps. ::
char *buf1 = PyMem_New(char, BUFSIZ); char *buf2 = (char *) malloc(BUFSIZ); char *buf3 = (char ) PyMem_Malloc(BUFSIZ); ... PyMem_Del(buf3); / Wrong -- should be PyMem_Free() / free(buf2); / Right -- allocated via malloc() / free(buf1); / Fatal -- should be PyMem_Free() */
In addition to the functions aimed at handling raw memory blocks from the Python
heap, objects in Python are allocated and released with :c:macro:PyObject_New,
:c:macro:PyObject_NewVar and :c:func:PyObject_Free.
These will be explained in the next chapter on defining and implementing new object types in C.