PostgreSQL Indexing Strategies & Query Optimization for High-Throughput Apps
Unleash database performance: B-tree vs GIN indexes, understanding EXPLAIN ANALYZE execution plans, and eliminating slow sequential scans.
When web applications slow down, the bottleneck is almost never the application code; it is almost always unindexed database queries performing full table scans across millions of rows.
1. Understanding B-Tree Index Multi-Column Ordering
In composite indexes (e.g. INDEX (shop_id, created_at)), column order matters critically. Queries must filter by the leftmost prefix to utilize the index efficiently.
Summary & Key Conclusion
Properly indexed databases handle millions of records effortlessly on economical infrastructure.
Written by Nazmul Hawlader
Top RatedSenior Full-Stack Engineer & Official Shopify App Store developer. Founder of Stockly and Kilo (kilo.nazmulcodes.org), specializing in high-performance Shopify apps, client-side media compression, and sub-second web performance.