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Good database design starts with understanding business domain consequences, not jumping straight to CREATE TABLE. Key principles covered: treat schema changes with the same rigor as code architecture (migrations on 500M-row tables are multi-month projects), normalize to 3NF first then denormalize deliberately based on real query patterns, index foreign keys and high-cardinality WHERE/JOIN/ORDER BY columns while avoiding low-cardinality ones, and use constraints (NOT NULL, UNIQUE, CHECK, foreign keys) to encode business rules directly in the database. Performance problems are usually schema problems in disguise, not tuning problems. Practical advice includes using pg_stat_user_indexes and EXPLAIN ANALYZE to measure impact, and designing for extensibility rather than premature optimization.

Database Design Doesn't Start With Table. It Starts With Consequences

All about Engineering Management, Leadership and Career Growth.

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Going through something similar to this right now. Wish you had wrote this 3 months ago…
lol

I feel these are good design principles that we all should try to follow but if you already in a nightmare schema then what do you do?

Very common issue among startups. You either over-engineer or do it quick. It’s always a debt.

It’s quite rare for a personal project to reach a million records in a database, so database experience is something you can only truly gain through hands-on practice. However, I believe this experience only truly comes alive when you’ve repeatedly built numerous projects. Great article.