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celery-redbeat

A Celery Beat Scheduler using Redis for persistent storage

2.3.2
PyPI
Maintainers
1

RedBeat

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RedBeat <https://github.com/sibson/redbeat>_ is a Celery Beat Scheduler <http://celery.readthedocs.org/en/latest/userguide/periodic-tasks.html>_ that stores the scheduled tasks and runtime metadata in Redis <http://redis.io/>_.

Why RedBeat?

#. Dynamic live task creation and modification, without lengthy downtime #. Externally manage tasks from any language with Redis bindings #. Shared data store; Beat isn't tied to a single drive or machine #. Fast startup even with a large task count #. Prevent accidentally running multiple Beat servers

For more background on the genesis of RedBeat see this blog post <https://blog.heroku.com/redbeat-celery-beat-scheduler>_

Getting Started

Install with pip:

.. code-block:: console

pip install celery-redbeat

Configure RedBeat settings in your Celery configuration file:

.. code-block:: python

redbeat_redis_url = "redis://localhost:6379/1"

Then specify the scheduler when running Celery Beat:

.. code-block:: console

celery beat -A <celery_app_file_path>.<celery_app_instance_name> -S redbeat.RedBeatScheduler

If using the embedded beat in a worker process (like in development), specify the scheduler like so:

.. code-block:: console

celery worker --beat --scheduler redbeat.RedBeatScheduler ...

RedBeat uses a distributed lock to prevent multiple instances running. To disable this feature, set:

.. code-block:: python

redbeat_lock_key = None

More details available on Read the Docs <https://redbeat.readthedocs.io/en/latest/>_

Development

RedBeat is available on GitHub <https://github.com/sibson/redbeat>_

Once you have the source you can run the tests with the following commands::

pip install -r requirements-dev.txt
python -m unittest discover tests

You can also quickly fire up a sample Beat instance with::

celery beat --config exampleconf

Keywords

python

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