https://github.com/ericflo/django-tokyo-sessions

This is a session backend for Django that stores sessions in a Tokyo Cabinet database, which communicates via Tokyo Tyrant using the PyTyrant library. Tokyo Cabinet is a key-value store similar to BDB.
https://github.com/ericflo/django-tokyo-sessions

Last synced: 3 months ago
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This is a session backend for Django that stores sessions in a Tokyo Cabinet database, which communicates via Tokyo Tyrant using the PyTyrant library. Tokyo Cabinet is a key-value store similar to BDB.

• Host: GitHub
• URL: https://github.com/ericflo/django-tokyo-sessions
• Owner: ericflo
• License: bsd-3-clause
• Created: 2009-02-22T00:55:51.000Z (over 15 years ago)
• Default Branch: master
• Last Pushed: 2009-03-02T05:14:13.000Z (over 15 years ago)
• Last Synced: 2024-07-20T02:50:38.714Z (4 months ago)
• Language: Python
• Homepage:
• Size: 88.9 KB
• Stars: 81
• Watchers: 6
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README
  • License: LICENSE.txt

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django-tokyo-sessions

=======================

This is a session backend for Django that stores sessions in a Tokyo Cabinet

database, which communicates via Tokyo Tyrant using the PyTyrant library.  Tokyo

Cabinet is a key-value store similar to BDB.

The advantage to using this over other solutions is that your data is persistent

unlike memcached, and Tokyo Cabinet is designed to store key-value data like

this, so performance is much closer to that of memcached than with a database.

Installing django-tokyo-sessions

-----------------------------------

1. Either download the tarball and run ``python setup.py install``, or simply

   use easy install or pip like so ``easy_install django-tokyo-sessions``.

2. Set ``tokyo_sessions.tyrant`` as your session engine, like so::

       SESSION_ENGINE = 'tokyo_sessions.tyrant'

3. Add settings describing where to connect to the Tokyo Tyrant database::

       TT_HOST = '127.0.0.1'

       TT_PORT = 1978

That's it.  Hopefully this backend gives you all the better performance while

still not sacrificing persistence.