laneweaver-database-design

Design PostgreSQL schemas with UUID primary keys, standard audit columns (created_at, updated_at, created_by, updated_by, deleted_at, deleted_by), and soft delete patterns. Use triggers to automate audit column population and ensure data consistency across all tables in your Supabase deployment.

Row-level security (RLS) policies restrict table access at the row level based on user context. Define policies in PostgreSQL to enforce tenant isolation, role-based access, and data privacy. Supabase conventions integrate RLS with UUID-based ownership and audit columns for secure multi-tenant architectures.

Create deterministic, atomic migrations using PostgreSQL functions and triggers to ensure consistency. Follow Supabase conventions: use UUID identifiers, define audit columns upfront, implement soft deletes, and version migrations as code. This prevents manual errors and ensures safe deployments across environments.

ENUMs represent fixed categories like statuses and lifecycle states efficiently in PostgreSQL. Plan and deploy ENUMs carefully to avoid migration complexity. Define them once, use them consistently across tables, and handle schema evolution with caution when adding or removing enum values.

Model polymorphic relationships using UUID foreign keys and type discriminator columns. Create views to flatten complex relationships and compute derived data for reporting. Combine with indexes and constraints to maintain query performance and data integrity.

Enforce NOT NULL, UNIQUE, and foreign key constraints at the schema level. Use appropriate data types (UUID, ENUM, TIMESTAMP, TEXT) and soft delete patterns to maintain data quality. Add indexes on foreign keys and frequently queried columns to optimize performance and ensure referential integrity.