Thread-local storage support
The Python interpreter provides low-level support for thread-local storage (TLS) which wraps the underlying native TLS implementation to support the Python-level thread-local storage API (threading.local). The CPython C level APIs are similar to those offered by pthreads and Windows: use a thread key and functions to associate a void* value per thread.
A thread state does not need to be attached <attached thread state> when calling these functions; they supply their own locking.
Note that Python.h does not include the declaration of the TLS APIs, you need to include pythread.h to use thread-local storage.
[!NOTE] None of these API functions handle memory management on behalf of the
void*values. You need to allocate and deallocate them yourself. If thevoid*values happen to bePyObject*, these functions don't do refcount operations on them either.
Thread-specific storage API
The thread-specific storage (TSS) API was introduced to supersede the use of the existing TLS API within the CPython interpreter. This API uses a new type Py_tss_t instead of int to represent thread keys.
3.7
"A New C-API for Thread-Local Storage in CPython" (539)
This data structure represents the state of a thread key, the definition of which may depend on the underlying TLS implementation, and it has an internal field representing the key's initialization state. There are no public members in this structure.
When
Py_LIMITED_API <stable>is not defined, static allocation of this type byPy_tss_NEEDS_INITis allowed.
This macro expands to the initializer for
Py_tss_tvariables. Note that this macro won't be defined withPy_LIMITED_API <stable>.
Dynamic allocation
Dynamic allocation of the Py_tss_t, required in extension modules built with Py_LIMITED_API <stable>, where static allocation of this type is not possible due to its implementation being opaque at build time.
Return a value which is the same state as a value initialized with
Py_tss_NEEDS_INIT, orNULLin the case of dynamic allocation failure.
Free the given key allocated by
PyThread_tss_alloc, after first callingPyThread_tss_deleteto ensure any associated thread locals have been unassigned. This is a no-op if the key argument isNULL.[!NOTE] A freed key becomes a dangling pointer. You should reset the key to
NULL.
Methods
The parameter key of these functions must not be NULL. Moreover, the behaviors of PyThread_tss_set and PyThread_tss_get are undefined if the given Py_tss_t has not been initialized by PyThread_tss_create.
Return a non-zero value if the given
Py_tss_thas been initialized byPyThread_tss_create.
Return a zero value on successful initialization of a TSS key. The behavior is undefined if the value pointed to by the key argument is not initialized by
Py_tss_NEEDS_INIT. This function can be called repeatedly on the same key -- calling it on an already initialized key is a no-op and immediately returns success.
Destroy a TSS key to forget the values associated with the key across all threads, and change the key's initialization state to uninitialized. A destroyed key is able to be initialized again by
PyThread_tss_create. This function can be called repeatedly on the same key -- calling it on an already destroyed key is a no-op.
Return a zero value to indicate successfully associating a
void*value with a TSS key in the current thread. Each thread has a distinct mapping of the key to avoid*value.
Return the
void*value associated with a TSS key in the current thread. This returnsNULLif no value is associated with the key in the current thread.
Legacy APIs
3.7 This API is superseded by the thread-specific storage (TSS) API <thread-specific-storage-api>.
[!NOTE] This version of the API does not support platforms where the native TLS key is defined in a way that cannot be safely cast to
int. On such platforms,PyThread_create_keywill return immediately with a failure status, and the other TLS functions will all be no-ops on such platforms.
Due to the compatibility problem noted above, this version of the API should not be used in new code.
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