Indexes are frequent friends for SELECT queries; however, if we want to use indexes, we must ensure that our database instances use them first. Indexes that are not utilized by our database instances are useless – they waste space and make INSERT, UPDATE, and DELETE queries slower.
Some MySQL engineers might call them the cornerstone of improving performance in MySQL: indexes are data structures that are frequently used to quickly find rows matching a given query.
During my work tenure, I got a chance to work with MySQL databases with as many as 700 million rows. This post will emphasize how to index and optimize your MySQL queries for indexes.
By
Akhil Mathew
Database indexes are a common solution for faster queries, but they also add overhead that can degrade performance. Keep reading to learn how to create the optimal database index.
Your intuition about indexing might be broken. Here's how to use indexing to optimize database search performance.
