https://takao.blog/en/categories/database/Recent content in Database on Commentary of TakaoHugo -- gohugo.ioenCommentary of TakaoSat, 13 Jun 2026 23:11:50 +0900https://takao.blog/en/web/backend-database-indexing-basics/Sun, 25 May 2025 00:00:00 +0900https://takao.blog/en/web/backend-database-indexing-basics/<img src="https://takao.blog/img/thumnail.webp" alt="Featured image of post Intro to DB Indexing: Resolving Query Latencies" /><h2 id="introduction">Introduction </h2><p>As web applications scale and data volumes grow, backend systems often face database bottleneck issues like query latencies.</p> <p>Running join (<code>JOIN</code>) operations or complex search queries on tables with hundreds of thousands of records without proper index optimizations can cause database CPU spikes, leading to slow response times for end users.</p> <p>Designing database indices is a powerful way to address these performance bottlenecks. This article explains how database indices work, details B-Tree structures, and shares guidelines for designing effective indices.</p>