Aggregating data in Django using database views — Mikuláš Poul

Learn how to optimize Django apps with database views for complex queries, data aggregation, and reporting. Covers implementation, materialization, use cases and best practices.

Key takeaways
  • Database views in Django provide a way to store and reuse complex queries as virtual tables that behave like regular models

  • The Django-PgViews-Redux library offers PostgreSQL-specific support for implementing database views with features like:

    • Automatic field detection and type serialization
    • Support for indexes and materialized views
    • Management commands for refreshing views
    • Integration with Django REST framework
  • Materialized views store query results on disk rather than computing them each time:

    • Useful for expensive calculations that don’t need real-time updates
    • Good for batch processing and reporting use cases
    • Requires periodic refreshing to update stale data
    • Takes additional disk space but can be indexed for faster queries
  • Key use cases for database views:

    • Aggregating statistics and reports
    • Backwards compatibility when changing schemas
    • Denormalizing data for read performance
    • Storing expensive calculated fields
    • Gradual migration of legacy code
  • Database views have limitations:

    • Read-only by default
    • Regular views still evaluate query each time
    • Materialized views need full recalculation on refresh
    • Not suitable when real-time data is required
    • Can become performance bottleneck at scale
  • Views can be defined using raw SQL or through Django ORM-style syntax

    • Must include an ID field for Django compatibility
    • Support foreign key relationships
    • Can use custom managers and querysets
    • Integrate with Django admin and REST framework