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