What are the best practices for indexing in Django ORM?

What are the best practices for indexing in Django ORM?

When indexing in Django ORM, consider the following best practices: 1. Use indexes on fields that are frequently queried. 2. Avoid over-indexing, as it can slow down write operations. 3. Utilize composite indexes for queries involving multiple fields. 4. Regularly analyze query performance and adjust indexes accordingly.

Can you explain composite indexes in more detail?

Sure! Composite indexes are indexes that cover multiple columns in a table. They are useful for optimizing queries that filter or sort based on multiple fields. For example, if you often query a model by both 'first_name' and 'last_name', creating a composite index on these two fields can significantly improve performance.

How can I create an index in Django?

You can create an index in Django by using the indexes option in your model's Meta class. For example:

class MyModel(models.Model):
    first_name = models.CharField(max_length=30)
    last_name = models.CharField(max_length=30)

    class Meta:
        indexes = [
            models.Index(fields=['first_name', 'last_name']),
        ]

Are there any tools to analyze query performance?

Yes, you can use Django's built-in django-debug-toolbar to analyze query performance. It provides insights into the number of queries, their execution time, and more. Additionally, you can use database-specific tools like EXPLAIN in PostgreSQL to analyze query plans.