What problem does it solve?
PostgreSQL problem-solving patterns for production systems. This section describes how to identify performance bottlenecks, concurrency issues, and migration challenges in real-world PostgreSQL deployments, and how to apply proven patterns to address them.
Core Features & Use Cases
- Cursor-based pagination: avoids slow OFFSET scans by paging on (created_at, id) with a stable order.
- Indexing & query tuning: guidelines for using BRIN, GIN, and expression indexes to accelerate common queries.
- Safe migrations: strategies for zero-downtime migrations using NOT VALID/VALIDATE and batched backfills.
- Concurrency strategies: approaches for high-concurrency updates, SKIP LOCKED, and batching to reduce contention.
- Time-series and data modeling: patterns for partitioning and efficient data organization at scale.
Quick Start
Identify a slow-producing query in your production workload and implement a cursor-based pagination or an indexing strategy described above to observe measurable improvements.