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A Celery Beat Scheduler that uses MongoDB to store both schedule definitions and status information

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celerybeat-mongo

This is a Celery Beat Scheduler that stores both the schedules themselves and their status information in a backend Mongo database. It can be installed by installing the celerybeat-mongo Python egg:

# pip install celerybeat-mongo

And specifying the scheduler when running Celery Beat, e.g.:

$ celery beat -S celerybeatmongo.schedulers.MongoScheduler

Settings

The settings for the scheduler are defined in your celery configuration file similar to how other aspects of Celery are configured:

  • mongodb_scheduler_url: The mongodb url connection used to store task results.
  • mongodb_scheduler_db: The Mongodb database name
  • mongodb_scheduler_collection (optional): the collection name used by model. If no value are specified, the default value will be used: schedules.

Usage

Celerybeat-mongo just supports Interval and Crontab schedules. Schedules easily can be manipulated using the mongoengine models in celerybeat mongo.models module.

Example creating interval-based periodic task

To create a periodic task executing at an interval you must first create the interval object:

from celery import Celery

config = {
    "mongodb_scheduler_db": "my_project",
    "mongodb_scheduler_url": "mongodb://localhost:27017",
}

app = Celery('hello', broker='redis://localhost//')
app.conf.update(**config)

from celerybeatmongo.models import PeriodicTask, Interval

periodic = PeriodicTask(
    name='Importing contacts',
    task="proj.import_contacts"
    interval=Interval(every=10, period="seconds") # executes every 10 seconds.
)
periodic.save()

Note

You should import celerybeat-mongo just after celery initialization.

Example creating crontab periodic task

A crontab schedule has the fields: minute, hour, day_of_week, day_of_month and month_of_year, so if you want the equivalent of a 30 7 * * 1 (Executes every Monday morning at 7:30 a.m) crontab entry you specify:

from celery import Celery

config = {
    "mongodb_scheduler_db": "my_project",
    "mongodb_scheduler_url": "mongodb://localhost:27017",
}

app = Celery('hello', broker='redis://localhost//')
app.conf.update(**config)

from celerybeatmongo.models import PeriodicTask, Crontab

periodic = PeriodicTask(name="Send Email Notification", task="proj.notify_customers")
periodic.crontab = Crontab(minute="30", hour="7", day_of_week="1",
                           day_of_month="0", month_of_year="*")
periodic.save()

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A Celery Beat Scheduler that uses MongoDB to store both schedule definitions and status information

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