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Learn how to efficiently combine querysets in Django REST using `RetrieveAPIView` to display related data from different models, enhancing your API responses. --- This video is based on the question https://stackoverflow.com/q/66399121/ asked by the user 'SJ19' ( https://stackoverflow.com/u/5157268/ ) and on the answer https://stackoverflow.com/a/66399628/ provided by the user 'ebllg' ( https://stackoverflow.com/u/15278319/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Django REST RetrieveAPIView combining querysets Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Combining Querysets in Django REST: A Guide to RetrieveAPIView When working with Django’s powerful REST framework, you might find yourself needing to combine multiple querysets into a single API response. This can be particularly useful when dealing with related models, such as Categories and Courses, where each course is linked to a specific category. In this guide, we’ll tackle how to effectively combine these querysets in Django REST using the RetrieveAPIView. By the end of this guide, you’ll be able to pull in related courses for each category seamlessly. Understanding the Problem Our example revolves around two models: Category and Course. Each Course has a foreign key that points to Category, meaning that every course is associated with a specific category. Here’s a basic illustration of what we want our endpoint to return: [[See Video to Reveal this Text or Code Snippet]] To achieve this structure, we need to create serializers for both models and then set up our view correctly. Setting Up the Models Let’s start by defining our Django models: [[See Video to Reveal this Text or Code Snippet]] Creating the Serializers Now that we have our models set up, we can define serializers to structure the data we want to expose through our API. Basic Course Serializer First, let’s create a basic serializer for our Course model. [[See Video to Reveal this Text or Code Snippet]] Category Serializer with Nested Courses Next, we’ll create a CategorySerializer that includes related courses: [[See Video to Reveal this Text or Code Snippet]] With this setup, the courses field will automatically include all related courses for each category when we fetch category instances. Updating the View Now let’s look at our view implementation. Initially, our DictView was incorrectly structured. We can simplify it using the serializers we’ve just created: [[See Video to Reveal this Text or Code Snippet]] Now we don’t need to override the get_queryset method. The serializer handles fetching the related courses for each category automatically. Adding Filters for Active Courses If you want to modify the behavior to only include active courses, you can adjust the CategorySerializer as follows: [[See Video to Reveal this Text or Code Snippet]] Key Takeaways By leveraging Django's serializers and foreign key relationships, you can effectively nest related data in your API responses with minimal overhead. Use SerializerMethodField for customized logic when fetching related objects, such as applying filters like only retrieving active courses. Don't forget to specify the source of your nested data to properly map relationships within your serializers. Conclusion Combining multiple querysets in Django REST is straightforward once you understand the models and serializers involved. By structuring your serializers properly and leveraging Django's ORM capabilities, you’re well-equipped to provide informative and organized API responses. Now you’re ready to implement this in your own Django projects! Happy coding!