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Make documentation reference actual location.

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See http://sendapatch.se/projects/pylibmc/.
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lericson 2010-01-03 19:20:47 +01:00
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57
README.rst
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@ -11,62 +11,9 @@ __ http://tangent.org/
`libmemcached` must be installed separately, and be available to the compiler `libmemcached` must be installed separately, and be available to the compiler
and linker. and linker.
Basic usage is that of `python-memcached`__, like so:: For usage and documentation, see pylibmc__'s home.
>>> import pylibmc __ http://sendapatch.se/projects/pylibmc/
>>> mc = pylibmc.Client(["127.0.0.1:11211"])
>>> mc.set("foo", "Hello world!")
True
>>> mc.get("foo")
'Hello world!'
__ http://www.tummy.com/Community/software/python-memcached/
There's also support for some other features not present in other Python
libraries, like the binary protocol::
>>> mc = pylibmc.Client(["127.0.0.1"], binary=True)
Behaviors
=========
`libmemcached` has ways of telling it how to behave. You'll have to refer to
its documentation on what the different behaviors do.
To change behaviors, quite simply::
>>> mc.behaviors["hash"] = "fnv1a_32"
For a list of the defined behavior key names, see what the keys of a client is.
For example::
>>> mc.behaviors.keys() # doctest: +NORMALIZE_WHITESPACE
['hash', 'connect timeout', 'cache lookups', 'buffer requests',
'verify key', 'support cas', 'poll timeout', 'no block', 'tcp nodelay',
'distribution', 'sort hosts']
The ``hash`` and ``distribution`` keys are mapped by the Python module to constant
integer values used by `libmemcached`. See ``pylibmc.hashers`` and
``pylibmc.distributions``.
Pooling
=======
In multithreaded environments, accessing the same memcached client object is
both unsafe and counter-productive in terms of performance. `libmemcached`'s
take on this is to introduce pooling on C level, which is correspondingly
mapped to pooling on Python level in `pylibmc`::
>>> mc = pylibmc.Client(["127.0.0.1"])
>>> pool = pylibmc.ThreadMappedPool(mc)
>>> # (in a thread...)
>>> with pool.reserve() as mc:
... mc.set("hello", "world")
For more information on pooling, see `my two`__ `long posts`__ about it.
__ http://lericson.blogg.se/code/2009/september/draft-sept-20-2009.html
__ http://lericson.blogg.se/code/2009/september/pooling-with-pylibmc-pt-2.html
Comparison to other libraries Comparison to other libraries
============================= =============================

2
setup.py
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@ -61,7 +61,7 @@ readme_text = open("README.rst", "U").read()
version = open("pylibmc-version.h", "U").read().strip().split("\"")[1] version = open("pylibmc-version.h", "U").read().strip().split("\"")[1]
setup(name="pylibmc", version=version, setup(name="pylibmc", version=version,
url="http://lericson.blogg.se/code/category/pylibmc.html", url="http://sendapatch.se/projects/pylibmc/",
author="Ludvig Ericson", author_email="ludvig@lericson.se", author="Ludvig Ericson", author_email="ludvig@lericson.se",
license="3-clause BSD <http://www.opensource.org/licenses/bsd-license.php>", license="3-clause BSD <http://www.opensource.org/licenses/bsd-license.php>",
description="Quick and small memcached client for Python", description="Quick and small memcached client for Python",