Loading docs/topics/cache.txt +13 −2 Original line number Diff line number Diff line Loading @@ -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:: Loading @@ -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 Loading Loading
docs/topics/cache.txt +13 −2 Original line number Diff line number Diff line Loading @@ -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:: Loading @@ -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 Loading