parts/django/docs/topics/cache.txt
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+++ b/parts/django/docs/topics/cache.txt	Sat Jan 08 11:20:57 2011 +0530
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+========================
+Django's cache framework
+========================
+
+A fundamental trade-off in dynamic Web sites is, well, they're dynamic. Each
+time a user requests a page, the Web server makes all sorts of calculations --
+from database queries to template rendering to business logic -- to create the
+page that your site's visitor sees. This is a lot more expensive, from a
+processing-overhead perspective, than your standard
+read-a-file-off-the-filesystem server arrangement.
+
+For most Web applications, this overhead isn't a big deal. Most Web
+applications aren't washingtonpost.com or slashdot.org; they're simply small-
+to medium-sized sites with so-so traffic. But for medium- to high-traffic
+sites, it's essential to cut as much overhead as possible.
+
+That's where caching comes in.
+
+To cache something is to save the result of an expensive calculation so that
+you don't have to perform the calculation next time. Here's some pseudocode
+explaining how this would work for a dynamically generated Web page::
+
+    given a URL, try finding that page in the cache
+    if the page is in the cache:
+        return the cached page
+    else:
+        generate the page
+        save the generated page in the cache (for next time)
+        return the generated page
+
+Django comes with a robust cache system that lets you save dynamic pages so
+they don't have to be calculated for each request. For convenience, Django
+offers different levels of cache granularity: You can cache the output of
+specific views, you can cache only the pieces that are difficult to produce, or
+you can cache your entire site.
+
+Django also works well with "upstream" caches, such as `Squid
+<http://www.squid-cache.org>`_ and browser-based caches. These are the types of
+caches that you don't directly control but to which you can provide hints (via
+HTTP headers) about which parts of your site should be cached, and how.
+
+Setting up the cache
+====================
+
+The cache system requires a small amount of setup. Namely, you have to tell it
+where your cached data should live -- whether in a database, on the filesystem
+or directly in memory. This is an important decision that affects your cache's
+performance; yes, some cache types are faster than others.
+
+Your cache preference goes in the ``CACHE_BACKEND`` setting in your settings
+file. Here's an explanation of all available values for ``CACHE_BACKEND``.
+
+Memcached
+---------
+
+By far the fastest, most efficient type of cache available to Django, Memcached
+is an entirely memory-based cache framework originally developed to handle high
+loads at LiveJournal.com and subsequently open-sourced by Danga Interactive.
+It's used by sites such as Facebook and Wikipedia to reduce database access and
+dramatically increase site performance.
+
+Memcached is available for free at http://memcached.org/. It runs as a
+daemon and is allotted a specified amount of RAM. All it does is provide a
+fast interface for adding, retrieving and deleting arbitrary data in the cache.
+All data is stored directly in memory, so there's no overhead of database or
+filesystem usage.
+
+After installing Memcached itself, you'll need to install
+``python-memcached``, which provides Python bindings to Memcached.
+This is available at ftp://ftp.tummy.com/pub/python-memcached/
+
+.. versionchanged:: 1.2
+    In Django 1.0 and 1.1, you could also use ``cmemcache`` as a binding.
+    However, support for this library was deprecated in 1.2 due to
+    a lack of maintenance on the ``cmemcache`` library itself. Support for
+    ``cmemcache`` will be removed completely in Django 1.4.
+
+To use Memcached with Django, set ``CACHE_BACKEND`` to
+``memcached://ip:port/``, where ``ip`` is the IP address of the Memcached
+daemon and ``port`` is the port on which Memcached is running.
+
+In this example, Memcached is running on localhost (127.0.0.1) port 11211::
+
+    CACHE_BACKEND = 'memcached://127.0.0.1:11211/'
+
+One excellent feature of Memcached is its ability to share cache over multiple
+servers. This means you can run Memcached daemons on multiple machines, and the
+program will treat the group of machines as a *single* cache, without the need
+to duplicate cache values on each machine. To take advantage of this feature,
+include all server addresses in ``CACHE_BACKEND``, separated by semicolons.
+
+In this example, the cache is shared over Memcached instances running on IP
+address 172.19.26.240 and 172.19.26.242, both on port 11211::
+
+    CACHE_BACKEND = 'memcached://172.19.26.240:11211;172.19.26.242:11211/'
+
+In the following example, the cache is shared over Memcached instances running
+on the IP addresses 172.19.26.240 (port 11211), 172.19.26.242 (port 11212), and
+172.19.26.244 (port 11213)::
+
+    CACHE_BACKEND = 'memcached://172.19.26.240:11211;172.19.26.242:11212;172.19.26.244:11213/'
+
+A final point about Memcached is that memory-based caching has one
+disadvantage: Because the cached data is stored in memory, the data will be
+lost if your server crashes. Clearly, memory isn't intended for permanent data
+storage, so don't rely on memory-based caching as your only data storage.
+Without a doubt, *none* of the Django caching backends should be used for
+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.
+
+Database caching
+----------------
+
+To use a database table as your cache backend, first create a cache table in
+your database by running this command::
+
+    python manage.py createcachetable [cache_table_name]
+
+...where ``[cache_table_name]`` is the name of the database table to create.
+(This name can be whatever you want, as long as it's a valid table name that's
+not already being used in your database.) This command creates a single table
+in your database that is in the proper format that Django's database-cache
+system expects.
+
+Once you've created that database table, set your ``CACHE_BACKEND`` setting to
+``"db://tablename"``, where ``tablename`` is the name of the database table.
+In this example, the cache table's name is ``my_cache_table``::
+
+    CACHE_BACKEND = 'db://my_cache_table'
+
+The database caching backend uses the same database as specified in your
+settings file. You can't use a different database backend for your cache table.
+
+Database caching works best if you've got a fast, well-indexed database server.
+
+Database caching and multiple databases
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you use database caching with multiple databases, you'll also need
+to set up routing instructions for your database cache table. For the
+purposes of routing, the database cache table appears as a model named
+``CacheEntry``, in an application named ``django_cache``. This model
+won't appear in the models cache, but the model details can be used
+for routing purposes.
+
+For example, the following router would direct all cache read
+operations to ``cache_slave``, and all write operations to
+``cache_master``. The cache table will only be synchronized onto
+``cache_master``::
+
+    class CacheRouter(object):
+        """A router to control all database cache operations"""
+
+        def db_for_read(self, model, **hints):
+            "All cache read operations go to the slave"
+            if model._meta.app_label in ('django_cache',):
+                return 'cache_slave'
+            return None
+
+        def db_for_write(self, model, **hints):
+            "All cache write operations go to master"
+            if model._meta.app_label in ('django_cache',):
+                return 'cache_master'
+            return None
+
+        def allow_syncdb(self, db, model):
+            "Only synchronize the cache model on master"
+            if model._meta.app_label in ('django_cache',):
+                return db == 'cache_master'
+            return None
+
+If you don't specify routing directions for the database cache model,
+the cache backend will use the ``default`` database.
+
+Of course, if you don't use the database cache backend, you don't need
+to worry about providing routing instructions for the database cache
+model.
+
+Filesystem caching
+------------------
+
+To store cached items on a filesystem, use the ``"file://"`` cache type for
+``CACHE_BACKEND``. For example, to store cached data in ``/var/tmp/django_cache``,
+use this setting::
+
+    CACHE_BACKEND = 'file:///var/tmp/django_cache'
+
+Note that there are three forward slashes toward the beginning of that example.
+The first two are for ``file://``, and the third is the first character of the
+directory path, ``/var/tmp/django_cache``. If you're on Windows, put the
+drive letter after the ``file://``, like this::
+
+    file://c:/foo/bar
+
+The directory path should be absolute -- that is, it should start at the root
+of your filesystem. It doesn't matter whether you put a slash at the end of the
+setting.
+
+Make sure the directory pointed-to by this setting exists and is readable and
+writable by the system user under which your Web server runs. Continuing the
+above example, if your server runs as the user ``apache``, make sure the
+directory ``/var/tmp/django_cache`` exists and is readable and writable by the
+user ``apache``.
+
+Each cache value will be stored as a separate file whose contents are the
+cache data saved in a serialized ("pickled") format, using Python's ``pickle``
+module. Each file's name is the cache key, escaped for safe filesystem use.
+
+Local-memory caching
+--------------------
+
+If you want the speed advantages of in-memory caching but don't have the
+capability of running Memcached, consider the local-memory cache backend. This
+cache is multi-process and thread-safe. To use it, set ``CACHE_BACKEND`` to
+``"locmem://"``. For example::
+
+    CACHE_BACKEND = 'locmem://'
+
+Note that each process will have its own private cache instance, which means no
+cross-process caching is possible. This obviously also means the local memory
+cache isn't particularly memory-efficient, so it's probably not a good choice
+for production environments. It's nice for development.
+
+Dummy caching (for development)
+-------------------------------
+
+Finally, Django comes with a "dummy" cache that doesn't actually cache -- it
+just implements the cache interface without doing anything.
+
+This is useful if you have a production site that uses heavy-duty caching in
+various places but a development/test environment where you don't want to cache
+and don't want to have to change your code to special-case the latter. To
+activate dummy caching, set ``CACHE_BACKEND`` like so::
+
+    CACHE_BACKEND = 'dummy://'
+
+Using a custom cache backend
+----------------------------
+
+.. versionadded:: 1.0
+
+While Django includes support for a number of cache backends out-of-the-box,
+sometimes you might want to use a customized cache backend. To use an external
+cache backend with Django, use a Python import path as the scheme portion (the
+part before the initial colon) of the ``CACHE_BACKEND`` URI, like so::
+
+    CACHE_BACKEND = 'path.to.backend://'
+
+If you're building your own backend, you can use the standard cache backends
+as reference implementations. You'll find the code in the
+``django/core/cache/backends/`` directory of the Django source.
+
+Note: Without a really compelling reason, such as a host that doesn't support
+them, you should stick to the cache backends included with Django. They've
+been well-tested and are easy to use.
+
+CACHE_BACKEND arguments
+-----------------------
+
+Each cache backend may take arguments. They're given in query-string style on
+the ``CACHE_BACKEND`` setting. Valid arguments are as follows:
+
+    * ``timeout``: The default timeout, in seconds, to use for the cache.
+      This argument defaults to 300 seconds (5 minutes).
+
+    * ``max_entries``: For the ``locmem``, ``filesystem`` and ``database``
+      backends, the maximum number of entries allowed in the cache before old
+      values are deleted. This argument defaults to 300.
+
+    * ``cull_frequency``: The fraction of entries that are culled when
+      ``max_entries`` is reached. The actual ratio is ``1/cull_frequency``, so
+      set ``cull_frequency=2`` to cull half of the entries when ``max_entries``
+      is reached.
+
+      A value of ``0`` for ``cull_frequency`` 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.
+
+In this example, ``timeout`` is set to ``60``::
+
+    CACHE_BACKEND = "memcached://127.0.0.1:11211/?timeout=60"
+
+In this example, ``timeout`` is ``30`` and ``max_entries`` is ``400``::
+
+    CACHE_BACKEND = "locmem://?timeout=30&max_entries=400"
+
+Invalid arguments are silently ignored, as are invalid values of known
+arguments.
+
+The per-site cache
+==================
+
+.. versionchanged:: 1.0
+    (previous versions of Django only provided a single ``CacheMiddleware`` instead
+    of the two pieces described below).
+
+Once the cache is set up, the simplest way to use caching is to cache your
+entire site. You'll need to add
+``'django.middleware.cache.UpdateCacheMiddleware'`` and
+``'django.middleware.cache.FetchFromCacheMiddleware'`` to your
+``MIDDLEWARE_CLASSES`` setting, as in this example::
+
+    MIDDLEWARE_CLASSES = (
+        'django.middleware.cache.UpdateCacheMiddleware',
+        'django.middleware.common.CommonMiddleware',
+        'django.middleware.cache.FetchFromCacheMiddleware',
+    )
+
+.. note::
+
+    No, that's not a typo: the "update" middleware must be first in the list,
+    and the "fetch" middleware must be last. The details are a bit obscure, but
+    see `Order of MIDDLEWARE_CLASSES`_ below if you'd like the full story.
+
+Then, add the following required settings to your Django settings file:
+
+* ``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.
+
+The cache middleware caches every page that doesn't have GET or POST
+parameters. Optionally, if the ``CACHE_MIDDLEWARE_ANONYMOUS_ONLY`` setting is
+``True``, only anonymous requests (i.e., not those made by a logged-in user)
+will be cached. This is a simple and effective way of disabling caching for any
+user-specific pages (include Django's admin interface). Note that if you use
+``CACHE_MIDDLEWARE_ANONYMOUS_ONLY``, you should make sure you've activated
+``AuthenticationMiddleware``.
+
+Additionally, the cache middleware automatically sets a few headers in each
+:class:`~django.http.HttpResponse`:
+
+    * Sets the ``Last-Modified`` header to the current date/time when a fresh
+      (uncached) version of the page is requested.
+
+    * Sets the ``Expires`` header to the current date/time plus the defined
+      ``CACHE_MIDDLEWARE_SECONDS``.
+
+    * Sets the ``Cache-Control`` header to give a max age for the page --
+      again, from the ``CACHE_MIDDLEWARE_SECONDS`` setting.
+
+See :doc:`/topics/http/middleware` for more on middleware.
+
+.. versionadded:: 1.0
+
+If a view sets its own cache expiry time (i.e. it has a ``max-age`` section in
+its ``Cache-Control`` header) then the page will be cached until the expiry
+time, rather than ``CACHE_MIDDLEWARE_SECONDS``. Using the decorators in
+``django.views.decorators.cache`` you can easily set a view's expiry time
+(using the ``cache_control`` decorator) or disable caching for a view (using
+the ``never_cache`` decorator). See the `using other headers`__ section for
+more on these decorators.
+
+.. _i18n-cache-key:
+
+.. versionadded:: 1.2
+
+If :setting:`USE_I18N` is set to ``True`` then the generated cache key will
+include the name of the active :term:`language<language code>`.
+This allows you to easily cache multilingual sites without having to create
+the cache key yourself.
+
+See :doc:`/topics/i18n/deployment` for more on how Django discovers the active
+language.
+
+__ `Controlling cache: Using other headers`_
+
+The per-view 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
+
+    @cache_page(60 * 15)
+    def my_view(request):
+        ...
+
+``cache_page`` takes a single argument: the cache timeout, in seconds. In the
+above example, the result of the ``my_view()`` view will be cached for 15
+minutes. (Note that we've written it as ``60 * 15`` for the purpose of
+readability. ``60 * 15`` will be evaluated to ``900`` -- that is, 15 minutes
+multiplied by 60 seconds per minute.)
+
+The per-view cache, like the per-site cache, is keyed off of the URL. If
+multiple URLs point at the same view, each URL will be cached separately.
+Continuing the ``my_view`` example, if your URLconf looks like this::
+
+    urlpatterns = ('',
+        (r'^foo/(\d{1,2})/$', my_view),
+    )
+
+then requests to ``/foo/1/`` and ``/foo/23/`` will be cached separately, as
+you may expect. But once a particular URL (e.g., ``/foo/23/``) has been
+requested, subsequent requests to that URL will use the cache.
+
+``cache_page`` can also take an optional keyword argument, ``key_prefix``, which
+works in the same way as the ``CACHE_MIDDLEWARE_KEY_PREFIX`` setting for the
+middleware.  It can be used like this::
+
+    @cache_page(60 * 15, key_prefix="site1")
+    def my_view(request):
+        ...
+
+Specifying per-view cache in the URLconf
+----------------------------------------
+
+The examples in the previous section have hard-coded the fact that the view is
+cached, because ``cache_page`` alters the ``my_view`` function in place. This
+approach couples your view to the cache system, which is not ideal for several
+reasons. For instance, you might want to reuse the view functions on another,
+cache-less site, or you might want to distribute the views to people who might
+want to use them without being cached. The solution to these problems is to
+specify the per-view cache in the URLconf rather than next to the view functions
+themselves.
+
+Doing so is easy: simply wrap the view function with ``cache_page`` when you
+refer to it in the URLconf. Here's the old URLconf from earlier::
+
+    urlpatterns = ('',
+        (r'^foo/(\d{1,2})/$', my_view),
+    )
+
+Here's the same thing, with ``my_view`` wrapped in ``cache_page``::
+
+    from django.views.decorators.cache import cache_page
+
+    urlpatterns = ('',
+        (r'^foo/(\d{1,2})/$', cache_page(my_view, 60 * 15)),
+    )
+
+If you take this approach, don't forget to import ``cache_page`` within your
+URLconf.
+
+Template fragment caching
+=========================
+
+.. versionadded:: 1.0
+
+If you're after even more control, you can also cache template fragments using
+the ``cache`` template tag. To give your template access to this tag, put
+``{% load cache %}`` near the top of your template.
+
+The ``{% cache %}`` template tag caches the contents of the block for a given
+amount of time. It takes at least two arguments: the cache timeout, in seconds,
+and the name to give the cache fragment. For example:
+
+.. code-block:: html+django
+
+    {% load cache %}
+    {% cache 500 sidebar %}
+        .. sidebar ..
+    {% endcache %}
+
+Sometimes you might want to cache multiple copies of a fragment depending on
+some dynamic data that appears inside the fragment. For example, you might want a
+separate cached copy of the sidebar used in the previous example for every user
+of your site. Do this by passing additional arguments to the ``{% cache %}``
+template tag to uniquely identify the cache fragment:
+
+.. code-block:: html+django
+
+    {% load cache %}
+    {% cache 500 sidebar request.user.username %}
+        .. sidebar for logged in user ..
+    {% endcache %}
+
+It's perfectly fine to specify more than one argument to identify the fragment.
+Simply pass as many arguments to ``{% cache %}`` as you need.
+
+If :setting:`USE_I18N` is set to ``True`` the per-site middleware cache will
+:ref:`respect the active language<i18n-cache-key>`. For the ``cache`` template
+tag you could use one of the
+:ref:`translation-specific variables<template-translation-vars>` available in
+templates to archieve the same result:
+
+.. code-block:: html+django
+
+    {% load i18n %}
+    {% load cache %}
+
+    {% get_current_language as LANGUAGE_CODE %}
+
+    {% cache 600 welcome LANGUAGE_CODE %}
+        {% trans "Welcome to example.com" %}
+    {% endcache %}
+
+The cache timeout can be a template variable, as long as the template variable
+resolves to an integer value. For example, if the template variable
+``my_timeout`` is set to the value ``600``, then the following two examples are
+equivalent:
+
+.. code-block:: html+django
+
+    {% cache 600 sidebar %} ... {% endcache %}
+    {% cache my_timeout sidebar %} ... {% endcache %}
+
+This feature is useful in avoiding repetition in templates. You can set the
+timeout in a variable, in one place, and just reuse that value.
+
+The low-level cache API
+=======================
+
+.. highlight:: python
+
+Sometimes, caching an entire rendered page doesn't gain you very much and is,
+in fact, inconvenient overkill.
+
+Perhaps, for instance, your site includes a view whose results depend on
+several expensive queries, the results of which change at different intervals.
+In this case, it would not be ideal to use the full-page caching that the
+per-site or per-view cache strategies offer, because you wouldn't want to
+cache the entire result (since some of the data changes often), but you'd still
+want to cache the results that rarely change.
+
+For cases like this, Django exposes a simple, low-level cache API. You can use
+this API to store objects in the cache with any level of granularity you like.
+You can cache any Python object that can be pickled safely: strings,
+dictionaries, lists of model objects, and so forth. (Most common Python objects
+can be pickled; refer to the Python documentation for more information about
+pickling.)
+
+The cache module, ``django.core.cache``, has 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)`` and ``get(key)``::
+
+    >>> cache.set('my_key', 'hello, world!', 30)
+    >>> cache.get('my_key')
+    'hello, world!'
+
+The ``timeout`` argument is optional and defaults to the ``timeout``
+argument in the ``CACHE_BACKEND`` setting (explained above). It's the number of
+seconds the value should be stored in the cache.
+
+If the object doesn't exist in the cache, ``cache.get()`` returns ``None``::
+
+    # Wait 30 seconds for 'my_key' to expire...
+
+    >>> cache.get('my_key')
+    None
+
+We advise against storing the literal value ``None`` in the cache, because you
+won't be able to distinguish between your stored ``None`` value and a cache
+miss signified by a return value of ``None``.
+
+``cache.get()`` can take a ``default`` argument. This specifies which value to
+return if the object doesn't exist in the cache::
+
+    >>> cache.get('my_key', 'has expired')
+    'has expired'
+
+.. versionadded:: 1.0
+
+To add a key only if it doesn't already exist, use the ``add()`` method.
+It takes the same parameters as ``set()``, but it will not attempt to
+update the cache if the key specified is already present::
+
+    >>> cache.set('add_key', 'Initial value')
+    >>> cache.add('add_key', 'New value')
+    >>> cache.get('add_key')
+    'Initial value'
+
+If you need to know whether ``add()`` stored a value in the cache, you can
+check the return value. It will return ``True`` if the value was stored,
+``False`` otherwise.
+
+There's also a ``get_many()`` interface that only hits the cache once.
+``get_many()`` returns a dictionary with all the keys you asked for that
+actually exist in the cache (and haven't expired)::
+
+    >>> cache.set('a', 1)
+    >>> cache.set('b', 2)
+    >>> cache.set('c', 3)
+    >>> cache.get_many(['a', 'b', 'c'])
+    {'a': 1, 'b': 2, 'c': 3}
+
+.. versionadded:: 1.2
+
+To set multiple values more efficiently, use ``set_many()`` to pass a dictionary
+of key-value pairs::
+
+    >>> cache.set_many({'a': 1, 'b': 2, 'c': 3})
+    >>> cache.get_many(['a', 'b', 'c'])
+    {'a': 1, 'b': 2, 'c': 3}
+
+Like ``cache.set()``, ``set_many()`` takes an optional ``timeout`` parameter.
+
+You can delete keys explicitly with ``delete()``. This is an easy way of
+clearing the cache for a particular object::
+
+    >>> cache.delete('a')
+
+.. versionadded:: 1.2
+
+If you want to clear a bunch of keys at once, ``delete_many()`` can take a list
+of keys to be cleared::
+
+    >>> cache.delete_many(['a', 'b', 'c'])
+
+.. versionadded:: 1.2
+
+Finally, if you want to delete all the keys in the cache, use
+``cache.clear()``.  Be careful with this; ``clear()`` will remove *everything*
+from the cache, not just the keys set by your application. ::
+
+    >>> cache.clear()
+
+.. versionadded:: 1.1
+
+You can also increment or decrement a key that already exists using the
+``incr()`` or ``decr()`` methods, respectively. By default, the existing cache
+value will incremented or decremented by 1. Other increment/decrement values
+can be specified by providing an argument to the increment/decrement call. A
+ValueError will be raised if you attempt to increment or decrement a
+nonexistent cache key.::
+
+    >>> cache.set('num', 1)
+    >>> cache.incr('num')
+    2
+    >>> cache.incr('num', 10)
+    12
+    >>> cache.decr('num')
+    11
+    >>> cache.decr('num', 5)
+    6
+
+.. note::
+
+    ``incr()``/``decr()`` methods are not guaranteed to be atomic. On those
+    backends that support atomic increment/decrement (most notably, the
+    memcached backend), increment and decrement operations will be atomic.
+    However, if the backend doesn't natively provide an increment/decrement
+    operation, it will be implemented using a two-step retrieve/update.
+
+Cache key warnings
+------------------
+
+.. versionadded:: 1.3
+
+Memcached, the most commonly-used production cache backend, does not allow
+cache keys longer than 250 characters or containing whitespace or control
+characters, and using such keys will cause an exception. To encourage
+cache-portable code and minimize unpleasant surprises, the other built-in cache
+backends issue a warning (``django.core.cache.backends.base.CacheKeyWarning``)
+if a key is used that would cause an error on memcached.
+
+If you are using a production backend that can accept a wider range of keys (a
+custom backend, or one of the non-memcached built-in backends), and want to use
+this wider range without warnings, you can silence ``CacheKeyWarning`` with
+this code in the ``management`` module of one of your
+:setting:`INSTALLED_APPS`::
+
+     import warnings
+
+     from django.core.cache import CacheKeyWarning
+
+     warnings.simplefilter("ignore", CacheKeyWarning)
+
+If you want to instead provide custom key validation logic for one of the
+built-in backends, you can subclass it, override just the ``validate_key``
+method, and follow the instructions for `using a custom cache backend`_. For
+instance, to do this for the ``locmem`` backend, put this code in a module::
+
+    from django.core.cache.backends.locmem import CacheClass as LocMemCacheClass
+
+    class CacheClass(LocMemCacheClass):
+        def validate_key(self, key):
+            """Custom validation, raising exceptions or warnings as needed."""
+            # ...
+
+...and use the dotted Python path to this module as the scheme portion of your
+:setting:`CACHE_BACKEND`.
+
+Upstream caches
+===============
+
+So far, this document has focused on caching your *own* data. But another type
+of caching is relevant to Web development, too: caching performed by "upstream"
+caches. These are systems that cache pages for users even before the request
+reaches your Web site.
+
+Here are a few examples of upstream caches:
+
+    * Your ISP may cache certain pages, so if you requested a page from
+      http://example.com/, your ISP would send you the page without having to
+      access example.com directly. The maintainers of example.com have no
+      knowledge of this caching; the ISP sits between example.com and your Web
+      browser, handling all of the caching transparently.
+
+    * Your Django Web site may sit behind a *proxy cache*, such as Squid Web
+      Proxy Cache (http://www.squid-cache.org/), that caches pages for
+      performance. In this case, each request first would be handled by the
+      proxy, and it would be passed to your application only if needed.
+
+    * Your Web browser caches pages, too. If a Web page sends out the
+      appropriate headers, your browser will use the local cached copy for
+      subsequent requests to that page, without even contacting the Web page
+      again to see whether it has changed.
+
+Upstream caching is a nice efficiency boost, but there's a danger to it:
+Many Web pages' contents differ based on authentication and a host of other
+variables, and cache systems that blindly save pages based purely on URLs could
+expose incorrect or sensitive data to subsequent visitors to those pages.
+
+For example, say you operate a Web e-mail system, and the contents of the
+"inbox" page obviously depend on which user is logged in. If an ISP blindly
+cached your site, then the first user who logged in through that ISP would have
+his user-specific inbox page cached for subsequent visitors to the site. That's
+not cool.
+
+Fortunately, HTTP provides a solution to this problem. A number of HTTP headers
+exist to instruct upstream caches to differ their cache contents depending on
+designated variables, and to tell caching mechanisms not to cache particular
+pages. We'll look at some of these headers in the sections that follow.
+
+Using Vary headers
+==================
+
+The ``Vary`` header defines which request headers a cache
+mechanism should take into account when building its cache key. For example, if
+the contents of a Web page depend on a user's language preference, the page is
+said to "vary on language."
+
+By default, Django's cache system creates its cache keys using the requested
+path (e.g., ``"/stories/2005/jun/23/bank_robbed/"``). This means every request
+to that URL will use the same cached version, regardless of user-agent
+differences such as cookies or language preferences. However, if this page
+produces different content based on some difference in request headers -- such
+as a cookie, or a language, or a user-agent -- you'll need to use the ``Vary``
+header to tell caching mechanisms that the page output depends on those things.
+
+To do this in Django, use the convenient ``vary_on_headers`` view decorator,
+like so::
+
+    from django.views.decorators.vary import vary_on_headers
+
+    @vary_on_headers('User-Agent')
+    def my_view(request):
+        # ...
+
+In this case, a caching mechanism (such as Django's own cache middleware) will
+cache a separate version of the page for each unique user-agent.
+
+The advantage to using the ``vary_on_headers`` decorator rather than manually
+setting the ``Vary`` header (using something like
+``response['Vary'] = 'user-agent'``) is that the decorator *adds* to the
+``Vary`` header (which may already exist), rather than setting it from scratch
+and potentially overriding anything that was already in there.
+
+You can pass multiple headers to ``vary_on_headers()``::
+
+    @vary_on_headers('User-Agent', 'Cookie')
+    def my_view(request):
+        # ...
+
+This tells upstream caches to vary on *both*, which means each combination of
+user-agent and cookie will get its own cache value. For example, a request with
+the user-agent ``Mozilla`` and the cookie value ``foo=bar`` will be considered
+different from a request with the user-agent ``Mozilla`` and the cookie value
+``foo=ham``.
+
+Because varying on cookie is so common, there's a ``vary_on_cookie``
+decorator. These two views are equivalent::
+
+    @vary_on_cookie
+    def my_view(request):
+        # ...
+
+    @vary_on_headers('Cookie')
+    def my_view(request):
+        # ...
+
+The headers you pass to ``vary_on_headers`` are not case sensitive;
+``"User-Agent"`` is the same thing as ``"user-agent"``.
+
+You can also use a helper function, ``django.utils.cache.patch_vary_headers``,
+directly. This function sets, or adds to, the ``Vary header``. For example::
+
+    from django.utils.cache import patch_vary_headers
+
+    def my_view(request):
+        # ...
+        response = render_to_response('template_name', context)
+        patch_vary_headers(response, ['Cookie'])
+        return response
+
+``patch_vary_headers`` takes an :class:`~django.http.HttpResponse` instance as
+its first argument and a list/tuple of case-insensitive header names as its
+second argument.
+
+For more on Vary headers, see the `official Vary spec`_.
+
+.. _`official Vary spec`: http://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.44
+
+Controlling cache: Using other headers
+======================================
+
+Other problems with caching are the privacy of data and the question of where
+data should be stored in a cascade of caches.
+
+A user usually faces two kinds of caches: his or her own browser cache (a
+private cache) and his or her provider's cache (a public cache). A public cache
+is used by multiple users and controlled by someone else. This poses problems
+with sensitive data--you don't want, say, your bank account number stored in a
+public cache. So Web applications need a way to tell caches which data is
+private and which is public.
+
+The solution is to indicate a page's cache should be "private." To do this in
+Django, use the ``cache_control`` view decorator. Example::
+
+    from django.views.decorators.cache import cache_control
+
+    @cache_control(private=True)
+    def my_view(request):
+        # ...
+
+This decorator takes care of sending out the appropriate HTTP header behind the
+scenes.
+
+There are a few other ways to control cache parameters. For example, HTTP
+allows applications to do the following:
+
+    * Define the maximum time a page should be cached.
+
+    * Specify whether a cache should always check for newer versions, only
+      delivering the cached content when there are no changes. (Some caches
+      might deliver cached content even if the server page changed, simply
+      because the cache copy isn't yet expired.)
+
+In Django, use the ``cache_control`` view decorator to specify these cache
+parameters. In this example, ``cache_control`` tells caches to revalidate the
+cache on every access and to store cached versions for, at most, 3,600 seconds::
+
+    from django.views.decorators.cache import cache_control
+
+    @cache_control(must_revalidate=True, max_age=3600)
+    def my_view(request):
+        # ...
+
+Any valid ``Cache-Control`` HTTP directive is valid in ``cache_control()``.
+Here's a full list:
+
+    * ``public=True``
+    * ``private=True``
+    * ``no_cache=True``
+    * ``no_transform=True``
+    * ``must_revalidate=True``
+    * ``proxy_revalidate=True``
+    * ``max_age=num_seconds``
+    * ``s_maxage=num_seconds``
+
+For explanation of Cache-Control HTTP directives, see the `Cache-Control spec`_.
+
+(Note that the caching middleware already sets the cache header's max-age with
+the value of the :setting:`CACHE_MIDDLEWARE_SECONDS` setting. If you use a custom
+``max_age`` in a ``cache_control`` decorator, the decorator will take
+precedence, and the header values will be merged correctly.)
+
+If you want to use headers to disable caching altogether,
+``django.views.decorators.cache.never_cache`` is a view decorator that adds
+headers to ensure the response won't be cached by browsers or other caches.
+Example::
+
+    from django.views.decorators.cache import never_cache
+
+    @never_cache
+    def myview(request):
+        # ...
+
+.. _`Cache-Control spec`: http://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.9
+
+Other optimizations
+===================
+
+Django comes with a few other pieces of middleware that can help optimize your
+site's performance:
+
+    * ``django.middleware.http.ConditionalGetMiddleware`` adds support for
+      modern browsers to conditionally GET responses based on the ``ETag``
+      and ``Last-Modified`` headers.
+
+    * ``django.middleware.gzip.GZipMiddleware`` compresses responses for all
+      moderns browsers, saving bandwidth and transfer time.
+
+Order of MIDDLEWARE_CLASSES
+===========================
+
+If you use caching middleware, it's important to put each half in the right
+place within the ``MIDDLEWARE_CLASSES`` setting. That's because the cache
+middleware needs to know which headers by which to vary the cache storage.
+Middleware always adds something to the ``Vary`` response header when it can.
+
+``UpdateCacheMiddleware`` runs during the response phase, where middleware is
+run in reverse order, so an item at the top of the list runs *last* during the
+response phase. Thus, you need to make sure that ``UpdateCacheMiddleware``
+appears *before* any other middleware that might add something to the ``Vary``
+header. The following middleware modules do so:
+
+    * ``SessionMiddleware`` adds ``Cookie``
+    * ``GZipMiddleware`` adds ``Accept-Encoding``
+    * ``LocaleMiddleware`` adds ``Accept-Language``
+
+``FetchFromCacheMiddleware``, on the other hand, runs during the request phase,
+where middleware is applied first-to-last, so an item at the top of the list
+runs *first* during the request phase. The ``FetchFromCacheMiddleware`` also
+needs to run after other middleware updates the ``Vary`` header, so
+``FetchFromCacheMiddleware`` must be *after* any item that does so.
+