django1/docs/cache.txt

140 lines
5.3 KiB
Plaintext
Raw Normal View History

========================
Django's cache framework
========================
So, you got slashdotted. Now what?
Django's cache framework gives you two methods of caching dynamic pages in
memory or in a database: you can automatically cache the entire page, or you can manually
cache only the pieces that are difficult to produce.
Setting up the cache
====================
The cache framework is split into a set of "backends" that provide different
methods of caching data. There's a simple single-process memory cache
(mostly useful as a fallback), a database-backed cache, and a memcached_
backend (by far the fastest option if you've got the RAM).
Before using the cache, you'll need to tell Django which cache backend you'd
like to use; do this by setting the ``CACHE_BACKEND`` in your settings file.
The CACHE_BACKEND setting is a quasi-URI; examples are:
============================== ===========================================
CACHE_BACKEND Explanation
============================== ===========================================
memcached://127.0.0.1:11211/ A memcached backend; the server is running
on localhost port 11211.
db://tablename/ A database backend (the db backend uses
the same database/username as the rest of
the CMS, so only a table name is needed.)
simple:/// A simple single-process memory cache; you
probably don't want to use this except for
testing. Note that this cache backend is
NOT threadsafe!
============================== ===========================================
All caches may take arguments; these are given in query-string style. Valid
arguments are:
timeout
Default timeout, in seconds, to use for the cache. Defaults
to 5 minutes (300 seconds).
max_entries
For the simple and database backends, the maximum number of entries
allowed in the cache before it is cleaned. Defaults to 300.
cull_percentage
The percentage of entries that are culled when max_entries is reached.
The actual percentage is 1/cull_percentage, so set cull_percentage=3 to
cull 1/3 of the entries when max_entries is reached.
A value of 0 for cull_percentage means that the entire cache will be
dumped when max_entries is reached. This makes culling *much* faster
at the expense of more cache misses.
For example::
DB_CACHE = "memcached://127.0.0.1:11211/?timeout=60"
DB_CACHE = "db://tablename/?timeout=120&max_entries=500&cull_percentage=4"
Invalid arguments are silently ignored, as are invalid values of known
arguments.
The per-page cache
==================
Once the cache is set up, the simplest way to use the cache is to simply
cache entire view functions. ``django.views.decorators.cache`` defines
a ``cache_page`` decorator that will automatically cache the view's response
for you. Using it couldn't be easier::
from django.views.decorators.cache import cache_page
def slashdot_this(request):
...
slashdot_this = cache_page(slashdot_this, 60 * 15):
Or, using Python 2.4's decorator syntax::
@cache_page(60 * 15)
def slashdot_this(request):
...
This will cache the result of that view for 15 minutes (the cache timeout is
in seconds).
The low-level cache API
=======================
There are times, however, that caching an entire rendered page doesn't gain
you very much. We often find that we only need to cache a list of object IDs
from an intensive database query, for example. In cases like these, you
can use the cache API to store objects in the cache with any level of
granularity you like.
The cache API is almost shockingly simple::
# the cache module exports a cache object that's automatically
# created from the CACHE_BACKEND setting
>>> from django.core.cache import cache
# The basic interface is set(key, value, timeout_seconds) and get(key)
>>> cache.set('my_key', 'hello, world!', 30)
>>> cache.get('my_key')
'hello, world!'
# (wait 30 seconds...)
>>> cache.get('my_key')
None
# get can take a default argument
>>> cache.get('my_key', 'has_expired')
'has_expired'
# there's also a get_many interface that only hits the cache once
# also, note that the timeout argument is optional and defaults
# to what you've given in the settings file.
>>> cache.set('a', 1)
>>> cache.set('b', 2)
>>> cache.set('c', 3)
>>> cache.get_many(['a', 'b', 'c'])
{'a': 1, 'b': 2, 'c': 3}
# get_many returns a dict with all the keys you asked for that
# actually exist in the cache (and haven't expired)
# there's also a way to explicitly delete keys
>>> cache.delete('a')
Really, that's the entire API! There's very few restrictions on what you can
use the cache for; you can store any object in the cache that can be pickled
safely, although keys must be strings.
.. _memcached: http://www.danga.com/memcached/