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Fixed #16886 -- Memcached socket file documentation. Thanks ddbeck fo…

…r the report and patch.

git-svn-id: http://code.djangoproject.com/svn/django/trunk@16858 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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commit b22a4fdc710684e089fd6135ac4c94b51fea2a3e 1 parent aaf77c1
@DrMeers DrMeers authored
Showing with 13 additions and 2 deletions.
  1. +13 −2 docs/topics/cache.txt
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15 docs/topics/cache.txt
@@ -100,8 +100,9 @@ To use Memcached with Django:
on your chosen memcached binding)
* Set :setting:`LOCATION <CACHES-LOCATION>` to ``ip:port`` values,
- where ``ip`` is the IP address of the Memcached daemon and
- ``port`` is the port on which Memcached is running.
+ where ``ip`` is the IP address of the Memcached daemon and ``port`` is the
+ port on which Memcached is running, or to a ``unix:path`` value, where
+ ``path`` is the path to a Memcached Unix socket file.
In this example, Memcached is running on localhost (127.0.0.1) port 11211, using
the ``python-memcached`` binding::
@@ -113,6 +114,16 @@ the ``python-memcached`` binding::
}
}
+In this example, Memcached is available through a local Unix socket file
+:file:`/tmp/memcached.sock` using the ``python-memcached`` binding::
+
+ CACHES = {
+ 'default': {
+ 'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache',
+ 'LOCATION': 'unix:/tmp/memcached.sock',
+ }
+ }
+
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
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