What problem does it solve?
It solves the problem of slow or unreliable database design by guiding you to build correct schemas, efficient queries, and safe migrations that reduce downtime and production risk.
Core Features & Use Cases
- Schema Design for correctness and performance: Applies normalization discipline (3NF minimum) with intentional denormalization for read-heavy workloads, using appropriate data types and standard audit/soft-delete columns.
- Query Optimization that eliminates bottlenecks: Uses EXPLAIN ANALYZE, covering indexes, explicit column selection, and parameterized queries, with cursor-based pagination to avoid OFFSET inefficiency.
- Migration Strategy for zero/low downtime: Enforces transactional wraps, additive/gradual column changes, concurrent index creation, batch backfills, and deprecation windows before removals.
Use case: You’re launching a new feature that adds audit fields and soft deletes to existing entities, then must keep key read queries under strict latency targets while migrating without downtime.
Quick Start
Ask: Create a PostgreSQL schema for a multi-tenant billing system, propose indexes for the top 5 queries, and outline a zero-downtime migration plan adding deleted_at and audit columns.