Question 1

How to deploy Flask-RQ workers in production?

Accepted Answer

Use the 'flask rq worker' command with process managers like systemd or supervisor, and scale by running multiple worker instances; for containerized setups, integrate into Docker or Kubernetes workflows.

Question 2

Can Flask-RQ handle retries for failed jobs?

Accepted Answer

Yes, it inherits RQ's basic retry mechanisms via decorators, but for advanced retry logic like exponential backoff, you may need to implement custom error handling or rely on RQ's limited options.

Question 3

Flask-RQ vs Celery: which should I use for my Flask app?

Accepted Answer

Flask-RQ is simpler and integrates natively with Flask, ideal for small to medium projects with Redis. Celery offers more features, supports multiple brokers, and is better for complex, high-scale applications.

Question 4

How to monitor Flask-RQ job queues?

Accepted Answer

Use RQ's built-in dashboard or third-party tools like RQ Dashboard; Flask-RQ itself doesn't provide extensive monitoring, so setup requires additional configuration and might not be as robust as Celery's Flower.

Question 5

Does Flask-RQ support scheduled or periodic jobs?

Accepted Answer

It relies on RQ's basic scheduling via 'enqueue_in' or 'enqueue_at' methods, but for cron-like periodic tasks, you might need to use RQ Scheduler or external cron jobs, adding complexity.

Question 6

How to pass Flask application context to Flask-RQ jobs?

Accepted Answer

Flask-RQ handles this automatically; jobs decorated with '@rq.job' run within the application context, ensuring access to 'current_app' and database sessions without extra code, as shown in the README example.

Flask-RQ

What is Flask-RQ?

Overview

Use Cases

Best For

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Pros & Cons

Pros

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Frequently Asked Questions