django-orm-patterns

To fix the Django ORM N+1 query problem, use `select_related` for foreign key relationships and `prefetch_related` for many-to-many relationships. This proactively loads related objects, preventing separate database hits per row and significantly reducing database load.

The best way to perform complex data aggregation in Django is using ORM aggregation functions alongside Q objects and F objects. These tools allow you to build advanced querying logic for complex data retrieval directly within your database-driven applications.

You need database indexing for Django models when optimizing query performance on large datasets. Proper indexing ensures efficient data retrieval and data integrity, functioning as a best practice to maintain robust performance as your database-driven application scales.

You use custom managers and transactions in Django ORM by encapsulating reusable query logic and wrapping database operations in atomic blocks. This approach ensures data integrity and maintainability while providing best practices for robust database-driven applications.

Fetching related objects in Django slows down your application due to the N+1 query problem, where a separate database query executes for each related object. Implementing `select_related` and `prefetch_related` optimizes performance by batching these queries.