MySQL Performance: MySQL/MariaDB Indexes

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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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How To Install SQLAlchemy

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The SQLAlchemy Toolkit and Object Relational Mapper is an extensive set of utilities for working with Python and databases. This toolkit provides a package full of popular persistence patterns, designed for economical and robust database accessibility. SQLAlchemy allows a developer to use simple SQL statements (unlike other Object Relational Mapping tools) which provide a helpful method to connect database tables with user-defined Python classes. The SQLAlchemy Object Relational Mapping tool is primarily centered on using the SQL Expression language.

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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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