Skip to main content

A Memcached Pool for Django

Project description

An efficient fast Django Memcached backend with a pool of connectors, based on pymemcache.


Each connection added in the pool stays connected to Memcache or Membase, drastically limiting the number of reconnections and open sockets your application will use on high load.

If you configure more than one Memcache server, each new connection will randomly pick one.

Everytime a socket timeout occurs on a server, it’s blacklisted so new connections avoid picking it for a while.

To use this backend, make sure the package is installed in your environment then use djmemcache.backend.PyMemcacheCache as backend in your settings.

Here’s an example:

    'default': {
        'BACKEND': 'djmemcache.backend.PyMemcacheCache',
        'LOCATION': '',
        'OPTIONS': {
                'MAX_POOL_SIZE': 100,
                'KEY_PREFIX': b'uuboard_prefix',
                'TIMEOUT': 30,
                'CONNECT_TIMEOUT': 30,
                'IGNORE_EXC': True,
                'USE_POOLING': True


  • MAX_POOL_SIZE: – The maximum number of connectors in the pool for eatch host. default: 2 ** 31.

  • KEY_PREFIX – The time in seconds a server stays in the blacklist. default: b’’

  • TIMEOUT – The time in seconds for the socket timeout. defaults to “forever”

  • CONNECT_TIMEOUT – The time in seconds for the connect socket timeout. defaults to “forever”

  • USE_POOLING – Whether to apply the connection pool. defaults to “True”

2015-04-30 - 0.1

  • Initial release

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

djmemcache-0.13.tar.gz (3.2 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page