Good examples of python-memcache (memcached) being used in Python? [closed]
I'm writing a web app using Python and the web.py framework, and I need to use memcached throughout.
I've been searching the internet trying to find some good documentation on the python-memcached module, but all I could find was this example on the MySQL website, and the documentation on its methods isn't great.
It's fairly simple. You write values using keys and expiry times. You get values using keys. You can expire keys from the system.
Most clients follow the same rules. You can read the generic instructions and best practices on the memcached homepage.
If you really want to dig into it, I'd look at the source. Here's the header comment:
"""
client module for memcached (memory cache daemon)
Overview
========
See U{the MemCached homepage<http://www.danga.com/memcached>} for more about memcached.
Usage summary
=============
This should give you a feel for how this module operates::
import memcache
mc = memcache.Client(['127.0.0.1:11211'], debug=0)
mc.set("some_key", "Some value")
value = mc.get("some_key")
mc.set("another_key", 3)
mc.delete("another_key")
mc.set("key", "1") # note that the key used for incr/decr must be a string.
mc.incr("key")
mc.decr("key")
The standard way to use memcache with a database is like this::
key = derive_key(obj)
obj = mc.get(key)
if not obj:
obj = backend_api.get(...)
mc.set(key, obj)
# we now have obj, and future passes through this code
# will use the object from the cache.
Detailed Documentation
======================
More detailed documentation is available in the L{Client} class.
"""
I would advise you to use pylibmc
instead.
It can act as a drop-in replacement of python-memcache, but a lot faster(as it's written in C). And you can find handy documentation for it here.
And to the question, as pylibmc just acts as a drop-in replacement, you can still refer to documentations of pylibmc for your python-memcache programming.