Fixed #29887 -- Added a cache backend for pymemcache.

This commit is contained in:
Nick Pope 2019-01-18 23:26:50 +00:00 committed by Mariusz Felisiak
parent cda0a3d777
commit b4d46df5ca
6 changed files with 89 additions and 4 deletions

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@ -214,3 +214,17 @@ class PyLibMCCache(BaseMemcachedCache):
# libmemcached manages its own connections. Don't call disconnect_all()
# as it resets the failover state and creates unnecessary reconnects.
pass
class PyMemcacheCache(BaseMemcachedCache):
"""An implementation of a cache binding using pymemcache."""
def __init__(self, server, params):
import pymemcache.serde
super().__init__(server, params, library=pymemcache, value_not_found_exception=KeyError)
self._class = self._lib.HashClient
self._options = {
'allow_unicode_keys': True,
'default_noreply': False,
'serde': pymemcache.serde.pickle_serde,
**self._options,
}

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@ -158,11 +158,16 @@ The cache backend to use. The built-in cache backends are:
* ``'django.core.cache.backends.locmem.LocMemCache'``
* ``'django.core.cache.backends.memcached.MemcachedCache'``
* ``'django.core.cache.backends.memcached.PyLibMCCache'``
* ``'django.core.cache.backends.memcached.PyMemcacheCache'``
You can use a cache backend that doesn't ship with Django by setting
:setting:`BACKEND <CACHES-BACKEND>` to a fully-qualified path of a cache
backend class (i.e. ``mypackage.backends.whatever.WhateverCache``).
.. versionchanged:: 3.2
The ``PyMemcacheCache`` backend was added.
.. setting:: CACHES-KEY_FUNCTION
``KEY_FUNCTION``

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@ -53,6 +53,16 @@ needed. As a consequence, it's deprecated.
See :ref:`configuring-applications-ref` for full details.
``pymemcache`` support
----------------------
The new ``django.core.cache.backends.memcached.PyMemcacheCache`` cache backend
allows using the pymemcache_ library for memcached. ``pymemcache`` 3.4.0 or
higher is required. For more details, see the :doc:`documentation on caching in
Django </topics/cache>`.
.. _pymemcache: https://pypi.org/project/pymemcache/
Minor features
--------------

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@ -77,17 +77,19 @@ database or filesystem usage.
After installing Memcached itself, you'll need to install a Memcached
binding. There are several Python Memcached bindings available; the
two most common are `python-memcached`_ and `pylibmc`_.
three most common are `python-memcached`_, `pylibmc`_, and `pymemcache`_.
.. _`python-memcached`: https://pypi.org/project/python-memcached/
.. _`pylibmc`: https://pypi.org/project/pylibmc/
.. _`pymemcache`: https://pypi.org/project/pymemcache/
To use Memcached with Django:
* Set :setting:`BACKEND <CACHES-BACKEND>` to
``django.core.cache.backends.memcached.MemcachedCache`` or
``django.core.cache.backends.memcached.PyLibMCCache`` (depending
on your chosen memcached binding)
``django.core.cache.backends.memcached.MemcachedCache``,
``django.core.cache.backends.memcached.PyLibMCCache``, or
``django.core.cache.backends.memcached.PyMemcacheCache`` (depending on your
chosen memcached binding)
* Set :setting:`LOCATION <CACHES-LOCATION>` to ``ip:port`` values,
where ``ip`` is the IP address of the Memcached daemon and ``port`` is the
@ -159,6 +161,10 @@ permanent storage -- they're all intended to be solutions for caching, not
storage -- but we point this out here because memory-based caching is
particularly temporary.
.. versionchanged:: 3.2
The ``PyMemcacheCache`` backend was added.
.. _database-caching:
Database caching
@ -466,6 +472,24 @@ the binary protocol, SASL authentication, and the ``ketama`` behavior mode::
}
}
Here's an example configuration for a ``pymemcache`` based backend that enables
client pooling (which may improve performance by keeping clients connected),
treats memcache/network errors as cache misses, and sets the ``TCP_NODELAY``
flag on the connection's socket::
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.memcached.PyMemcacheCache',
'LOCATION': '127.0.0.1:11211',
'OPTIONS': {
'no_delay': True,
'ignore_exc': True,
'max_pool_size': 4,
'use_pooling': True,
}
}
}
.. _the-per-site-cache:
The per-site cache

31
tests/cache/tests.py vendored
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@ -1277,6 +1277,7 @@ for _cache_params in settings.CACHES.values():
MemcachedCache_params = configured_caches.get('django.core.cache.backends.memcached.MemcachedCache')
PyLibMCCache_params = configured_caches.get('django.core.cache.backends.memcached.PyLibMCCache')
PyMemcacheCache_params = configured_caches.get('django.core.cache.backends.memcached.PyMemcacheCache')
# The memcached backends don't support cull-related options like `MAX_ENTRIES`.
memcached_excluded_caches = {'cull', 'zero_cull'}
@ -1459,6 +1460,36 @@ class PyLibMCCacheTests(BaseMemcachedTests, TestCase):
self.assertEqual(cache.client_servers, [expected])
@unittest.skipUnless(PyMemcacheCache_params, 'PyMemcacheCache backend not configured')
@override_settings(CACHES=caches_setting_for_tests(
base=PyMemcacheCache_params,
exclude=memcached_excluded_caches,
))
class PyMemcacheCacheTests(BaseMemcachedTests, TestCase):
base_params = PyMemcacheCache_params
def test_pymemcache_highest_pickle_version(self):
self.assertEqual(
cache._cache.default_kwargs['serde']._serialize_func.keywords['pickle_version'],
pickle.HIGHEST_PROTOCOL,
)
for cache_key in settings.CACHES:
for client_key, client in caches[cache_key]._cache.clients.items():
with self.subTest(cache_key=cache_key, server=client_key):
self.assertEqual(
client.serde._serialize_func.keywords['pickle_version'],
pickle.HIGHEST_PROTOCOL,
)
@override_settings(CACHES=caches_setting_for_tests(
base=PyMemcacheCache_params,
exclude=memcached_excluded_caches,
OPTIONS={'no_delay': True},
))
def test_pymemcache_options(self):
self.assertIs(cache._cache.default_kwargs['no_delay'], True)
@override_settings(CACHES=caches_setting_for_tests(
BACKEND='django.core.cache.backends.filebased.FileBasedCache',
))

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@ -8,6 +8,7 @@ numpy
Pillow >= 6.2.0
# pylibmc/libmemcached can't be built on Windows.
pylibmc; sys.platform != 'win32'
pymemcache >= 3.4.0
python-memcached >= 1.59
pytz
pywatchman; sys.platform != 'win32'