|
|
|
.. _caching-pattern:
|
|
|
|
|
|
|
|
Caching
|
|
|
|
=======
|
|
|
|
|
|
|
|
When your application runs slow, throw some caches in. Well, at least
|
|
|
|
it's the easiest way to speed up things. What does a cache do? Say you
|
|
|
|
have a function that takes some time to complete but the results would
|
|
|
|
still be good enough if they were 5 minutes old. So then the idea is that
|
|
|
|
you actually put the result of that calculation into a cache for some
|
|
|
|
time.
|
|
|
|
|
|
|
|
Flask itself does not provide caching for you, but Werkzeug, one of the
|
|
|
|
libraries it is based on, has some very basic cache support. It supports
|
|
|
|
multiple cache backends, normally you want to use a memcached server.
|
|
|
|
|
|
|
|
Setting up a Cache
|
|
|
|
------------------
|
|
|
|
|
|
|
|
You create a cache object once and keep it around, similar to how
|
|
|
|
:class:`~flask.Flask` objects are created. If you are using the
|
|
|
|
development server you can create a
|
|
|
|
:class:`~werkzeug.contrib.cache.SimpleCache` object, that one is a simple
|
|
|
|
cache that keeps the item stored in the memory of the Python interpreter::
|
|
|
|
|
|
|
|
from werkzeug.contrib.cache import SimpleCache
|
|
|
|
cache = SimpleCache()
|
|
|
|
|
|
|
|
If you want to use memcached, make sure to have one of the memcache modules
|
|
|
|
supported (you get them from `PyPI <https://pypi.python.org/pypi>`_) and a
|
|
|
|
memcached server running somewhere. This is how you connect to such an
|
|
|
|
memcached server then::
|
|
|
|
|
|
|
|
from werkzeug.contrib.cache import MemcachedCache
|
|
|
|
cache = MemcachedCache(['127.0.0.1:11211'])
|
|
|
|
|
|
|
|
If you are using App Engine, you can connect to the App Engine memcache
|
|
|
|
server easily::
|
|
|
|
|
|
|
|
from werkzeug.contrib.cache import GAEMemcachedCache
|
|
|
|
cache = GAEMemcachedCache()
|
|
|
|
|
|
|
|
Using a Cache
|
|
|
|
-------------
|
|
|
|
|
|
|
|
Now how can one use such a cache? There are two very important
|
|
|
|
operations: :meth:`~werkzeug.contrib.cache.BaseCache.get` and
|
|
|
|
:meth:`~werkzeug.contrib.cache.BaseCache.set`. This is how to use them:
|
|
|
|
|
|
|
|
To get an item from the cache call
|
|
|
|
:meth:`~werkzeug.contrib.cache.BaseCache.get` with a string as key name.
|
|
|
|
If something is in the cache, it is returned. Otherwise that function
|
|
|
|
will return `None`::
|
|
|
|
|
|
|
|
rv = cache.get('my-item')
|
|
|
|
|
|
|
|
To add items to the cache, use the :meth:`~werkzeug.contrib.cache.BaseCache.set`
|
|
|
|
method instead. The first argument is the key and the second the value
|
|
|
|
that should be set. Also a timeout can be provided after which the cache
|
|
|
|
will automatically remove item.
|
|
|
|
|
|
|
|
Here a full example how this looks like normally::
|
|
|
|
|
|
|
|
def get_my_item():
|
|
|
|
rv = cache.get('my-item')
|
|
|
|
if rv is None:
|
|
|
|
rv = calculate_value()
|
|
|
|
cache.set('my-item', rv, timeout=5 * 60)
|
|
|
|
return rv
|