MySQL Performance: MySQL/MariaDB Indexes

Reading Time: 6 minutes

Data in a MySQL/MariaDB database is stored in tables. A simple way of thinking about indexes is to imagine an extensive spreadsheet. This type of system is not always conducive to quick searching; that’s where an index becomes essential. If there is no index, then the database engine has to start at row one and browse through all the rows looking for the corresponding values. If this is a small table, then it is no big deal, but in larger tables and applications where there can be tables with millions and even billions of rows, it becomes problematic. As you can imagine, searching through those rows one by one will be time-consuming, even on the latest hardware. The solution is to create an INDEX (or more than one) for your data.

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MySQL Performance: Intro to JOINS in SQL

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In this article, we will learn the basics of joining tables in SQL. We will learn about Left, Right, Inner, and Outer joins and give examples of how to use them.

Data in an RDBMS (Relational Database Management System) is grouped into tables. These tables have a rigid definition of the type of data that can be stored in them. To connect different tables, and thus different types of data that may relate to each other, we will use the JOIN clause. 

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Finding Resource Usage Details in MSSQL

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When running MSSQL or Microsoft SQL Server, we need to determine whether it is optimized or will it need more resources to achieve better performance. This article reviews what behaviors to look for,  where to find them, and how to view signs of distress.

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