Engineering Practice
PostgreSQL Database Design Principles
Model for clarity first, then optimize where evidence demands it.
Database design practices centered on data correctness, query performance, and schema longevity for evolving products.
Foundations
Core Principles
- Normalize core entities and denormalize intentionally for high-value read paths.
- Use constraints and indexes as executable data quality policy.
- Design migrations to be safe, reversible, and deployment-aware.
Execution
Implementation Patterns
- Composite indexes aligned to real filter/order workloads.
- Lifecycle-aware fields for auditing, publishing, and soft retirement.
- Controlled transaction boundaries for consistency under concurrency.
Production
Delivery Methodology
- Performance budgets informed by query plans and production telemetry.
- Schema governance that links changes to product capability outcomes.
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