Fixed #29887 -- Added a cache backend for pymemcache.
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@ -214,3 +214,17 @@ class PyLibMCCache(BaseMemcachedCache):
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# libmemcached manages its own connections. Don't call disconnect_all()
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# as it resets the failover state and creates unnecessary reconnects.
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pass
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class PyMemcacheCache(BaseMemcachedCache):
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"""An implementation of a cache binding using pymemcache."""
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def __init__(self, server, params):
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import pymemcache.serde
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super().__init__(server, params, library=pymemcache, value_not_found_exception=KeyError)
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self._class = self._lib.HashClient
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self._options = {
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'allow_unicode_keys': True,
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'default_noreply': False,
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'serde': pymemcache.serde.pickle_serde,
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**self._options,
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}
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@ -158,11 +158,16 @@ The cache backend to use. The built-in cache backends are:
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* ``'django.core.cache.backends.locmem.LocMemCache'``
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* ``'django.core.cache.backends.memcached.MemcachedCache'``
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* ``'django.core.cache.backends.memcached.PyLibMCCache'``
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* ``'django.core.cache.backends.memcached.PyMemcacheCache'``
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You can use a cache backend that doesn't ship with Django by setting
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:setting:`BACKEND <CACHES-BACKEND>` to a fully-qualified path of a cache
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backend class (i.e. ``mypackage.backends.whatever.WhateverCache``).
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.. versionchanged:: 3.2
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The ``PyMemcacheCache`` backend was added.
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.. setting:: CACHES-KEY_FUNCTION
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``KEY_FUNCTION``
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@ -53,6 +53,16 @@ needed. As a consequence, it's deprecated.
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See :ref:`configuring-applications-ref` for full details.
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``pymemcache`` support
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----------------------
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The new ``django.core.cache.backends.memcached.PyMemcacheCache`` cache backend
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allows using the pymemcache_ library for memcached. ``pymemcache`` 3.4.0 or
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higher is required. For more details, see the :doc:`documentation on caching in
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Django </topics/cache>`.
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.. _pymemcache: https://pypi.org/project/pymemcache/
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Minor features
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--------------
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@ -77,17 +77,19 @@ database or filesystem usage.
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After installing Memcached itself, you'll need to install a Memcached
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binding. There are several Python Memcached bindings available; the
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two most common are `python-memcached`_ and `pylibmc`_.
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three most common are `python-memcached`_, `pylibmc`_, and `pymemcache`_.
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.. _`python-memcached`: https://pypi.org/project/python-memcached/
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.. _`pylibmc`: https://pypi.org/project/pylibmc/
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.. _`pymemcache`: https://pypi.org/project/pymemcache/
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To use Memcached with Django:
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* Set :setting:`BACKEND <CACHES-BACKEND>` to
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``django.core.cache.backends.memcached.MemcachedCache`` or
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``django.core.cache.backends.memcached.PyLibMCCache`` (depending
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on your chosen memcached binding)
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``django.core.cache.backends.memcached.MemcachedCache``,
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``django.core.cache.backends.memcached.PyLibMCCache``, or
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``django.core.cache.backends.memcached.PyMemcacheCache`` (depending on your
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chosen memcached binding)
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* Set :setting:`LOCATION <CACHES-LOCATION>` to ``ip:port`` values,
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where ``ip`` is the IP address of the Memcached daemon and ``port`` is the
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@ -159,6 +161,10 @@ permanent storage -- they're all intended to be solutions for caching, not
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storage -- but we point this out here because memory-based caching is
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particularly temporary.
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.. versionchanged:: 3.2
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The ``PyMemcacheCache`` backend was added.
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.. _database-caching:
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Database caching
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@ -466,6 +472,24 @@ the binary protocol, SASL authentication, and the ``ketama`` behavior mode::
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}
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}
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Here's an example configuration for a ``pymemcache`` based backend that enables
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client pooling (which may improve performance by keeping clients connected),
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treats memcache/network errors as cache misses, and sets the ``TCP_NODELAY``
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flag on the connection's socket::
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CACHES = {
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'default': {
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'BACKEND': 'django.core.cache.backends.memcached.PyMemcacheCache',
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'LOCATION': '127.0.0.1:11211',
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'OPTIONS': {
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'no_delay': True,
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'ignore_exc': True,
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'max_pool_size': 4,
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'use_pooling': True,
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}
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}
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}
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.. _the-per-site-cache:
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The per-site cache
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@ -1277,6 +1277,7 @@ for _cache_params in settings.CACHES.values():
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MemcachedCache_params = configured_caches.get('django.core.cache.backends.memcached.MemcachedCache')
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PyLibMCCache_params = configured_caches.get('django.core.cache.backends.memcached.PyLibMCCache')
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PyMemcacheCache_params = configured_caches.get('django.core.cache.backends.memcached.PyMemcacheCache')
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# The memcached backends don't support cull-related options like `MAX_ENTRIES`.
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memcached_excluded_caches = {'cull', 'zero_cull'}
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@ -1459,6 +1460,36 @@ class PyLibMCCacheTests(BaseMemcachedTests, TestCase):
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self.assertEqual(cache.client_servers, [expected])
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@unittest.skipUnless(PyMemcacheCache_params, 'PyMemcacheCache backend not configured')
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@override_settings(CACHES=caches_setting_for_tests(
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base=PyMemcacheCache_params,
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exclude=memcached_excluded_caches,
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))
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class PyMemcacheCacheTests(BaseMemcachedTests, TestCase):
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base_params = PyMemcacheCache_params
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def test_pymemcache_highest_pickle_version(self):
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self.assertEqual(
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cache._cache.default_kwargs['serde']._serialize_func.keywords['pickle_version'],
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pickle.HIGHEST_PROTOCOL,
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)
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for cache_key in settings.CACHES:
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for client_key, client in caches[cache_key]._cache.clients.items():
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with self.subTest(cache_key=cache_key, server=client_key):
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self.assertEqual(
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client.serde._serialize_func.keywords['pickle_version'],
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pickle.HIGHEST_PROTOCOL,
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)
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@override_settings(CACHES=caches_setting_for_tests(
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base=PyMemcacheCache_params,
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exclude=memcached_excluded_caches,
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OPTIONS={'no_delay': True},
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))
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def test_pymemcache_options(self):
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self.assertIs(cache._cache.default_kwargs['no_delay'], True)
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@override_settings(CACHES=caches_setting_for_tests(
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BACKEND='django.core.cache.backends.filebased.FileBasedCache',
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))
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@ -8,6 +8,7 @@ numpy
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Pillow >= 6.2.0
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# pylibmc/libmemcached can't be built on Windows.
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pylibmc; sys.platform != 'win32'
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pymemcache >= 3.4.0
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python-memcached >= 1.59
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pytz
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pywatchman; sys.platform != 'win32'
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