postgresql-table-design

Designing PostgreSQL schemas for scalable apps requires structuring tables with BIGINT identity primary keys, TIMESTAMPTZ for dates, and proper normalization. This approach ensures data integrity and query performance as your application grows.

Use BIGINT GENERATED ALWAYS AS IDENTITY for standard sequential primary keys, but choose UUID when global uniqueness across distributed systems is required. Both approaches maintain data integrity while serving different scaling requirements.

The best PostgreSQL data types for money and timestamps are NUMERIC for financial values to ensure precision, and TIMESTAMPTZ for timestamps to handle timezone conversions correctly across your application.

Optimize PostgreSQL indexing for foreign keys by creating indexes on all primary keys, foreign keys, and frequently filtered columns. Use partial or expression indexes where beneficial to improve query performance.

Denormalize a PostgreSQL database schema only when justified by read performance requirements, after first aiming for Third Normal Form (3NF). Proper normalization prevents data anomalies while targeted denormalization optimizes queries.

PostgreSQL schema design requires NOT NULL and CHECK constraints to enforce data integrity at the database level. Applying these constraints ensures invalid data is rejected before insertion, preventing application errors.