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95fbe35 · Aug 13, 2015

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celery

Supported tags and respective Dockerfile links

For more information about this image and its history, please see the relevant manifest file (library/celery) in the docker-library/official-images GitHub repo.

Celery

Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

wikipedia.org/wiki/Celery_Task_Queue

How to use this image

start a celery worker (RabbitMQ Broker)

$ docker run --link some-rabbit:rabbit --name some-celery -d celery

check the status of the cluster

$ docker run --link some-rabbit:rabbit --rm celery celery status

start a celery worker (Redis Broker)

$ docker run --link some-redis:redis -e CELERY_BROKER_URL=redis://redis --name some-celery -d celery

check the status of the cluster

$ docker run --link some-redis:redis -e CELERY_BROKER_URL=redis://redis --rm celery celery status

Supported Docker versions

This image is officially supported on Docker version 1.8.1.

Support for older versions (down to 1.0) is provided on a best-effort basis.

User Feedback

Documentation

Documentation for this image is stored in the celery/ directory of the docker-library/docs GitHub repo. Be sure to familiarize yourself with the repository's README.md file before attempting a pull request.

Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue.

You can also reach many of the official image maintainers via the #docker-library IRC channel on Freenode.

Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.