Best Practices for Asynchronous Task Processing Based on Celery Redis Django
Introduction:
In web development, sometimes you will encounter something that needs to be executed that is time-consuming tasks, such as sending emails, generating reports, etc. If you perform these tasks directly in the web request, it will degrade the user experience and even cause the system to crash. To solve this problem, you can use a combination of Celery, Redis, and Django to implement asynchronous task processing. This article will introduce how to use the combination of Celery Redis and Django to achieve optimal asynchronous task processing.
1.1. Install Celery: Use pip to install Celery.
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1.2. Configure Redis: You need to install and configure Redis as the message middleware.
1.3. Configure Django: Make sure to use Celery in your Django project.
2.1. Create a Celery instance: Create a celery.py
file in the root directory of the Django project to configure and create a Celery instance.
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2.2. Create asynchronous tasks: Create a tasks.py
file in an application of the Django project to define asynchronous tasks.
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delay()
method. 3.1. Import tasks:
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3.2. Schedule tasks:
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4.1. Start Worker: In the terminal window, use the following command to start Celery Worker.
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4.2. Start Beat: If you need to schedule tasks regularly, you can use the following command to start Celery Beat.
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4.3. Monitoring tasks: You can use Flower to monitor the execution of tasks.
4.4. Configure Result Backend: Add the following code in the celery.py
file to configure the result return method of the task.
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The above is an introduction and sample code about the best practices of asynchronous task processing based on Celery Redis Django. I hope it will be helpful to everyone in handling asynchronous tasks in web development!
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