Supabase Schema Patterns

To implement soft delete in a Supabase database schema, establish Drizzle schema rules that flag user-owned data as inactive rather than permanently deleting it. This convention maintains data retention securely while keeping records accessible.

Typing JSONB columns using Drizzle with Supabase involves defining specific schema conventions for when to use JSONB to ensure flexible data storage. This standardizes how unstructured data is handled and maintained within your database tables.

Creating partial unique indexes on active rows in a Supabase schema requires applying specific schema rules that maintain uniqueness constraints only for active records. This prevents conflicts with soft-deleted entries while preserving query performance.

Yes, these Supabase schema conventions using Drizzle are explicitly applicable to database design and schema maintenance tasks in Next.js and Expo projects. They ensure consistent and secure data management across these specific environments.

Defining new tables in a Supabase schema requires following standardized rules that include specific required columns, versioning fields, and soft delete handling. This establishes consistent and efficient data management across the entire database.