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Using the MySQL CREATE TABLE Statement: A Complete Guide

intro

This blog will walk you through the MySQL CREATE TABLE statement that is used to create tables. Let’s learn everything about it!

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If you’ve ever used MySQL, chances are that you’ve created tables within the RDBMS. But do you know how exactly the MySQL CREATE TABLE statement works? Find that out here!

What Is the MySQL CREATE TABLE Statement?

To begin with, the CREATE TABLE statement helps us create tables within MySQL. In its most basic form, the MySQL CREATE TABLE statement looks like so:

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1 CREATE TABLE `table_name` ( 2 `column_1` DATATYPE(length) [DEFAULT] [NOT NULL], 3 `column_2` DATATYPE(length) [DEFAULT] [NOT NULL], 4 -- ... 5 );

In other words, CREATE TABLE allows us to create a table within MySQL that bears a structure of our liking. That’s not to say that these structures don’t have limits (see below) — everything’s done within boundaries — but the structure of our table defines the structure of SQL queries that insert, modify, or delete data from that table, too.

In other words, once we create a table with the create table statement, we can act on that table however our use case allows.

Possible actions may include modifying (updating) data, selecting a specific amount of rows based on our use case (that’s especially true if our use case is a search engine), inserting data into a table (if we elect to use such an approach, we have to bear in mind that we need to specify the columns we are inserting data into if our insert statement does not insert data into all of them), or deleting data.

Limits of the MySQL CREATE TABLE Statement

With that being said, there are numerous boundaries for the CREATE TABLE statement in MySQL, too. These are as follows:

  1. The total length of your data types for a table running the InnoDB engine cannot exceed 65,535 bytes.
  2. If you have to create a primary key on any column, you must place it before any other indexes.
  3. Tables can only be created if they don’t already exist — for that, you can utilize the IF NOT EXISTS statement (if this statement is used and a table does exist, MySQL won’t error out.)
  4. You can use the TEMPORARY keyword when creating a table — doing so will create a temporary table within MySQL.
  5. If you want to create a specific table in a specific database, please specify the database name first, then specify a dot “.”, then specify a table name: CREATE TABLE demo_db.demo_table would create a table named demo_table in a database named demo_db. Doing everything the other way around won’t work.

With that being said, there are numerous intricacies surrounding the MySQL CREATE TABLE statement, too: did you know that if you issue a CREATE TABLE a LIKE b then a table a bearing the same structure as the table b will be created? Cool, right? This can be very useful when you want to copy the structure of tables before making a quick backup of the data using something like INSERT INTO a SELECT * FROM b; — keep that in mind.

Creating a table like another table in MySQL
Creating a table like another table in MySQL

Summary

The MySQL CREATE TABLE statement is an SQL statement that lets us build a table in MySQL before acting on the data inside of that table — data in that table can then be inserted, updated, deleted, or read (selected.)

To learn more about SQL statements and MySQL as a whole, consider reading books like Hacking MySQL: Breaking, Optimizing, and Securing MySQL for Your Use Case, and until next time.

FAQ

Why would I read “Hacking MySQL: Breaking, Optimizing, and Securing MySQL for Your Use Case“?

Consider reading the “Hacking MySQL: Breaking, Optimizing, and Securing MySQL” book because it will build easy to understand mental models, it is easy to read, and perhaps most importantly — it will let you learn why, how, and when your MySQL database instances might be faltering and equip you with the necessary tools to fix these problems.

Why would I use DbVisualizer?

Consider using SQL clients like DbVisualizer because DbVisualizer can connect seamlessly to a group of database management systems including, but not limited to MySQL, PostgreSQL, MSSQL, MongoDB, DynamoDB, and others (all supported databases can be found at this link) as well as let you easily visualize the data within them.

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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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