DATA TYPES
MARIADB
MySQL

Understanding MySQL Data Types: A Complete Guide for Beginners

intro

Today, we dive into the world of MySQL data types. You will learn what they are, how they work, and when should they be used. Start learning now!

Tools used in the tutorial
Tool Description Link
Dbvisualizer DBVISUALIZER
TOP RATED DATABASE MANAGEMENT TOOL AND SQL CLIENT

If you’re reading this blog, it’s probably safe to say that you are not a casual database observer: you care deeply about your database performance, availability, and security. All of those things are important — great things, however, often start with small steps. In the MySQL world, those small steps often concern MySQL data types!

What Are MySQL Data Types?

In SQL, data types define the types of data that a column can accept. Various database management systems have various data types available for us to use, and MySQL is no exception. For example, discover all PostgreSQL data types.

The data types in MySQL fall into one of the following categories:

  1. String data types as well as character and variable character data types — these MySQL data types depict everything related to text and include the often-used VARCHAR (short for “VARIABLE CHARACTER”) data type, the TEXT data types, as well as data types related to them such as SMALLTEXT and the like. Learn more about string data types in MySQL.
  2. Numeric data types — such MySQL data types, obviously, have to do with numbers. By using numeric data types pertaining to MySQL, we can store exact-value data, fixed-point and floating-point values, and the like. Find out more about numeric data types in MySQL.
  3. Date and time data types — such data types in MySQL allow us to build on date and time values. By using them, we can store years, timestamps, and other information in a column. Discover more about date and time data types in MySQL.
  4. Spatial data types — such data types have to do with geographical, or spatial, data hence the name. To be fair, they’re not used very frequently and it’s possible that you won’t even see them being used in your career at all unless you deal with specific data sets dealing with geography: regardless, they exist. If you see data types like GEOMETRY, POINT, LINESTRING, or POLYGON, you’re in the spatial camp. Learn more about spatial data types in MySQL.
  5. The JSON data type — last but not least, we also have a data type specific to JSON data, and that data type, unsurprisingly, is called the JSON data type. By using it, we can store JSON data in a column. Discover more about the JSON data type in MySQL.

How to Choose a MySQL Data Type?

Now that you know a thing or two about MySQL data types, you might be wondering how exactly do you choose one. Well, as with many things in life, this is easier said than done, but we can give you some advice on this topic as well:

  1. Evaluate your use case — this sounds like cliché but it’s true. Evaluate your use case and choose data types applicable to it. Don’t go ahead and create databases and tables within them just for fun — read books, attend seminars, and make a decision looking into the future. Reading books like “Hacking MySQL: Breaking, Optimizing, and Securing MySQL for Your Use Case” will be a good place to start because these kinds of books will not only let you understand how and why you should optimize your database but also let you in on the facts what makes your databases falter in the first place.
  2. Look at your database and table structure — after you evaluate your use case, have a good look at the structure of your database. You will most likely see a couple of tables within that database already, and that would be a good starting point to head over to the documentation, understand the intricacies of MySQL data types, and modify them according to your use case.
  3. Before creating tables, think about how will you interact with the data inside of them — does your use case necessitate the reading of JSON data? Perhaps you only deal with integers? These kinds of questions will inevitably arise and once you answer them for yourself, you will be better equipped to deal with the problems coming your way.
  4. Look at others — don’t forget to also look at what others are doing. If a person running a data breach search engine for 10 years is using VARCHAR to store email addresses or usernames, chances are there’s a reason for that. What’s that reason? Talk to the people around you and understand the reasons behind their decisions before you make yours.

A Simplified Approach to Selecting the Right MySQL Data Types

Why would you spend hours reading the docs when you can simply launch an SQL client and get all of the answers to your database questions in minutes? An SQL client like DbVisualizer will not only let you observe what’s happening within your tables (see the image below) but also let you understand what exactly you might be doing to make your database performance falter:

Inspecting a demo table within MariaDB using DbVisualizer
Inspecting a demo table within MariaDB using DbVisualizer

As you can see, DbVisualizer helps you explore all MySQL data types used in table and simplify column specifications CREATE TABLE thanks to it MySQL code-completion capabilities.

The Pro version of DbVisualizer is free for everyone to try for up to 21 days, too: grab your free trial today and start building your database infrastructure and become interested in MySQL data types before these data types become interested in you and cause you problems.

Conclusion

MySQL data types aren’t a type of a devilish entity aiming to destroy your database and the data within no matter how difficult these data types may be to grasp. MySQL data types exist for a reason — that reason is to enable us to build safer and more performant database infrastructures: infrastructures that withstand attempts to breach or otherwise tamper with.

However, MySQL data types don’t walk alone and there are quite a lot of things that you as a developer need to consider before taking any action in this regard: using top-notch database clients like DbVisualizer is a good place to start because these SQL clients will not only provide you and your database with a safe space to solve database problems.

Keep in mind that DbVisualizer can not only show the data types that are in use but also comes with a bunch of other extremely useful features like an auto-complete capability, a visual query builder, and the ability to create visual explain plans to better optimize your queries. Grab a free 21-day trial of DbVisualizer today and until next time!

FAQ

What are MySQL data types?

In SQL, data types denote the types of data accepted by a column. MySQL has a couple of groups related to data types — these are string data types, numeric data types, date and time data types, spatial data types, the JSON data type, as well as others.

How to properly choose a data type in MySQL?

To properly choose a data type using MySQL or other database management systems, keep your use case in mind and always choose MySQL data types looking into the future: weigh whether your use case necessitates you to read, insert, update, or delete data, what kind of data you might be storing and how often you or the users within your application will interact with the database. Then, make a decision. Also know that decisions aren’t something that can’t be reversed — if necessary, adjust the data types that are in use and move with the waves.

Why would I use Database clients like DbVisualizer?

Consider using an SQL client like DbVisualizer to better understand the structure of your database and the queries within. DbVisualizer also comes with a bunch of other capabilities that enable us to format our queries, create visual explain plans, and the like.

Dbvis download link img
About the author
LukasVileikisPhoto
Lukas Vileikis
Lukas Vileikis is an ethical hacker and a frequent conference speaker. He runs one of the biggest & fastest data breach search engines in the world - BreachDirectory.com, frequently speaks at conferences and blogs in multiple places including his blog over at lukasvileikis.com.
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