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A queuing setup for integration with Haystack.
Python
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queued_search
tests
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.travis.yml
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README.rst
runtests.py
setup.cfg
setup.py
tox.ini

README.rst

queued_search

Allows you to utilize a queue and shove updates/deletes for search into it, keeping your pages fast and your index fresh.

For use with Haystack (http://haystacksearch.org/).

WARNING!!!

This project has been updated to be compatible with Haystack 2.0.x! If you need queued_search for Haystack 1.2.X, please use the 1.0.4 tag or pip install queued_search==1.0.4!

Requirements

You also need to install your choice of one of the supported search engines for Haystack and one of the supported queue backends for Queues.

Setup

  1. Add queued_search to INSTALLED_APPS.
  2. Alter all of your SearchIndex subclasses to inherit from queued_search.indexes.QueuedSearchIndex (as well as indexes.Indexable).
  3. Ensure your queuing solution of choice is running.
  4. Setup a cron job to run the process_search_queue management command.
  5. PROFIT!
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