90% of database performance bottlenecks originate from inefficient queries. This guide covers everything from reading EXPLAIN ANALYZE output and designing composite indexes to table partitioning strategies.
Reading EXPLAIN ANALYZE
Understanding query execution plans is the foundation of PostgreSQL optimization. Learn to interpret Seq Scan, Index Scan, Hash Join, and other node types along with their costs.
Effective Index Strategy
Analyze the characteristics of B-tree, GIN, and GiST index types and their appropriate use cases. Pay special attention to how the column order of composite indexes affects performance.
Real-World Optimization Case
A step-by-step walkthrough of how we improved search speed on a 100-million-row log table from 200ms → 3ms.
Partitioning Strategy
Implement range and list partitioning to manage large datasets efficiently and maintain query performance at scale.