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