django/docs/cache.txt

========================
Django's cache framework
========================

So, you got slashdotted.  Now what?

Django's cache framework gives you three methods of caching dynamic pages in
memory or in a database. You can cache the output of entire pages, you can
cache only the pieces that are difficult to produce, or you can cache your
entire site.

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) and a memcached_ backend (the fastest option, by far, 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 "fake" URI (really an unregistered scheme).
Examples:

    ==============================  ===========================================
    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 in a table named 
                                    "tablename". This table should be created
                                    with "django-admin createcachetable".

    file:///var/tmp/django_cache/   A file-based cache stored in the directory
                                    /var/tmp/django_cache/.

    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!
                                        
    locmem:///                      A more sophisticaed local memory cache;
                                    this is multi-process- and thread-safe.
    ==============================  ===========================================

All caches may take arguments -- they're 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::

    CACHE_BACKEND = "memcached://127.0.0.1:11211/?timeout=60"

Invalid arguments are silently ignored, as are invalid values of known
arguments.

The per-site cache
==================

Once the cache is set up, the simplest way to use the cache is to simply
cache your entire site. Just add ``django.middleware.cache.CacheMiddleware``
to your ``MIDDLEWARE_CLASSES`` setting, as in this example::

    MIDDLEWARE_CLASSES = (
        "django.middleware.cache.CacheMiddleware",
        "django.middleware.common.CommonMiddleware",
    )

Make sure it's the first entry in ``MIDDLEWARE_CLASSES``. (The order of
``MIDDLEWARE_CLASSES`` matters.)

Then, add the following three required settings:

* ``CACHE_MIDDLEWARE_SECONDS`` -- The number of seconds each page should be
  cached.
* ``CACHE_MIDDLEWARE_KEY_PREFIX`` -- If the cache is shared across multiple
  sites using the same Django installation, set this to the name of the site,
  or some other string that is unique to this Django instance, to prevent key
  collisions. Use an empty string if you don't care.
* ``CACHE_MIDDLEWARE_GZIP`` -- Either ``True`` or ``False``. If this is
  enabled, Django will gzip all content for users whose browsers support gzip
  encoding. Using gzip adds a level of overhead to page requests, but the
  overhead generally is cancelled out by the fact that gzipped pages are stored
  in the cache. That means subsequent requests won't have the overhead of
  zipping, and the cache will hold more pages because each one is smaller.

Pages with GET or POST parameters won't be cached.

The cache middleware also makes a few more optimizations:

* Sets and deals with ``ETag`` headers.
* Sets the ``Content-Length`` header.
* Sets the ``Last-Modified`` header to the current date/time when a fresh
  (uncached) version of the page is requested.

It doesn't matter where in the middleware stack you put the cache middleware.

The per-page cache
==================

A more granular way to use the caching framework is by caching the output of
individual views. ``django.views.decorators.cache`` defines a ``cache_page``
decorator that will automatically cache the view's response for you. It's easy
to use::

    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. The Django developers have found it's only necessary 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 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)

    # get_many() returns a dictionary with all the keys you asked for that
    # actually exist in the cache (and haven't expired).
    >>> cache.get_many(['a', 'b', 'c'])
    {'a': 1, 'b': 2, 'c': 3}

    # There's also a way to delete keys explicitly.
    >>> cache.delete('a')

That's it. The cache has very few restrictions: You can cache any object that
can be pickled safely, although keys must be strings.

.. _memcached: http://www.danga.com/memcached/