python celery scheduler
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celery is a distributed task queue system for python that allows you to distribute the execution of tasks across multiple worker nodes. celery also provides a scheduler that allows you to schedule periodic tasks. in this tutorial, we will explore how to set up and use the celery scheduler with a simple python example.
before you begin, make sure you have the following installed:
you can install celery using the following command:
let's create a simple celery project structure. create a new directory for your project and create the following files:
now that you have set up your celery project, you can run the celery worker and beat processes. open three terminal windows and run the following commands in each:
terminal 1 (start celery worker):
terminal 2 (start celery beat):
terminal 3 (run the main python script):
celery worker will start processing tasks, and celery beat will schedule the periodic task defined in celerybeat_schedule in celery_config.py.
you should see output indicating that the tasks are being processed and the periodic task is being scheduled.
that's it! you've successfully set up and used the celery scheduler in a python project. you can customize the tasks.py file to include your specific tasks and adjust the scheduling in celery_config.py as needed.
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