Celery with Upstash Redis
You can use Celery with Upstash Redis to build scalable and serverless task queues. Celery is a Python library that manages asynchronous task execution, while Upstash Redis acts as both the broker (queue) and the result backend.
Setup
Install Celery
To get started, install the necessary libraries using pip
:
Database Setup
Create a Redis database using the Upstash Console. Export the UPSTASH_REDIS_HOST
, UPSTASH_REDIS_PORT
, and UPSTASH_REDIS_PASSWORD
to your environment:
You can also use python-dotenv
to load environment variables from a .env
file:
Example Application
Setting up Celery with Upstash Redis
Note that we should use the rediss://
protocol to connect to redis over TLS and set ssl_cert_reqs=required
to enforce certificate validation.
Running the Worker
Start the Celery worker to execute tasks:
Using the Task
You can now use the add
task to perform background computations:
Conclusion
To see a more detailed example of using Celery with Upstash Redis, check out the Job Processor with Celery example on our website.
For more details on Celery, visit the Celery Documentation. For Upstash Redis, check out the Upstash Redis Documentation.
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