Distributed Task Queue
Task queues are used as a mechanism to distribute work across threads or
machines.
A task queue's input is a unit of work, called a task, dedicated worker
processes then constantly monitor the queue for new work to perform.
Celery communicates via messages, usually using a broker to mediate
between clients and workers. To initiate a task a client puts a message
on the queue, the broker then delivers the message to a worker.
A Celery system can consist of multiple workers and brokers, giving way
to high availability and horizontal scaling.
This requires: click-plugins, python3-billiard, python3-dateutil, typing-extensions, python3-kombu, python3-prompt_toolkit, click, tzdata, python3-click-didyoumean, python3-click-repl
Maintained by: Yth - Arnaud
Keywords:
ChangeLog: python3-celery
Homepage:
https://docs.celeryproject.org/
Download SlackBuild:
python3-celery.tar.gz
python3-celery.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
python3-celery.SlackBuild |
python3-celery.info |
slack-desc |
versions.patch |
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