prisma-data-integrity

To audit Prisma migrations for data integrity, verify backward compatibility, RLS awareness, index impact, data backfill, enum safety, and foreign key cascade behavior. This ensures schema correctness and safe deployment across production and development environments.

Edge-safe Prisma patterns prevent prolonged PrismaClient usage in edge environments by enforcing proper disconnects and safe lifecycle management. This approach avoids memory exhaustion and connection timeouts during high-concurrency serverless execution.

Enforcing PostgreSQL RLS for per-user data isolation requires auditing policies to verify strict access controls. Checking RLS policies within the Prisma schema ensures queries respect per-user boundaries and maintain data consistency.

Prisma supports safe concurrency and atomic operations in PostgreSQL by optimizing query patterns and managing the client lifecycle. Applying edge-safe usage patterns ensures atomic transactions execute correctly without connection state conflicts.

Optimizing Prisma queries for PostgreSQL production involves auditing schema correctness, indexing considerations, and query efficiency. Reviewing query patterns against RLS policies ensures data integrity and performs efficiently under high load.