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66 lines
1.9 KiB
ReStructuredText
66 lines
1.9 KiB
ReStructuredText
Django Q
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========
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A multiprocessing task queue application for Django
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---------------------------------------------------
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Status
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~~~~~~
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Currently in the pre-alpha stage and Python 3 only (for now).
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Architecture
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~~~~~~~~~~~~
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|Django Q schema| ### Signed Tasks Tasks are first pickled to Json and
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then signed using Django's own signing module before being sent to a
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Redis list. This ensures that task packages on the Redis server can only
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be excuted and read by clusters and django servers who share the same
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secret key.
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Optionally, packages can be compressed before transport by setting
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``Q_COMPRESSED = True``
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Pusher
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~~~~~~
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The pusher process continously checks the Redis list for new task
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packages and pushes them on the Task Queue.
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Worker
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~~~~~~
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A worker process checks the package signing, unpacks the task, executes
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it and saves the return value. Irrespective of the failure or success of
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any of these steps, the package is then pushed onto the Result Queue.
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By default Django Q spawns a worker for each detected CPU on the host
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system. This can be overridden by setting ``Q_WORKERS = n``. With *n*
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being the numbered of desired worker processes.
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Monitor
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~~~~~~~
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The result monitor checks the Result Queue for processed packages and
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saves both failed and succesful packages to the Django database.
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By default only the last 100 succesful packages are kept in the
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database. This can be increased or decreased at will by settings
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``Q_SAVE_LIMIT = n``. With *n* being the desired number of records. Set
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``Q_SAVE_LIMIT = 0`` to save all results to the database. Failed
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packages are always saved.
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Medic
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~~~~~
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The medic loop checks the health of all workers, including the pusher
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and the monitor. In case one of them dies, the medic will reincarnate a
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new process to take over the duties of the deceased.
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Todo
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~~~~
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I'll add to this README while I'm developing the various parts.
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.. |Django Q schema| image:: http://i.imgur.com/jYRb1mJ.png
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