MySQL Schema and State
MySQL is a powerful database that allows for complex logic when manipulating data. This guide is an introduction and a reference to common SQL queries for schema and state manipulation.
This guide assumes that you already have a working copy of MySQL. If you don't, read Introduction to MySQL first.
The schema of your database refers to the way that your data is structured and to how bits of data relate to each other. Every database in your MySQL server has a separate schema, and separate databases should not typically interact with one another.
To create a database on your MySQL server, simply run the query:
create database DATABASENAME;
You can delete a database using the query:
drop database DATABASENAME;
When you're at the MySQL prompt, use the following query to select a database to which to run select, insert, update, and delete queries:
A database contains one or more tables. Tables contain columns and rows, which you may sometimes call fields and entries.
When you create a table, you should provide information about all of that table's columns within the create table query. Here is the general syntax for the query:
create table TABLENAME ( FIELDNAME DATATYPE OPTIONS, FIELDNAME DATATYPE OPTIONS, FIELDNAME DATATYPE OPTIONS, FIELDNAME DATATYPE OPTIONS ) TABLE_OPTIONS;
Just like a programming language, MySQL has data types. There are dozens of data types; some of the most common ones are documented below.
String Data Types
There are four main types of string data types: character, text, blob, and enumerable.
- Character types are useful for short strings, like usernames and e-mail addresses.
- Text types differ from character types in that behind the scenes, they are not actually stored with the rest of the table row; they are useful for longer blocks of text, like forum posts.
- Blobs are for binary data, like files.
- Enumerables are for something that could have one of a set number of values (not more than 65535), like what State a user is from. An enum is actually stored as an integer in the database, making queries more efficient.
The syntax for these data types is:
- VARCHAR(#), a string at most # characters long, where 0 ≤ # ≤ 255
- CHAR(#), a string exactly # characters long, where 0 ≤ # ≤ 255
- TINYTEXT, a text block at most 255 characters long
- TEXT, a text block at most 65535 characters long
- BLOB, a binary string at most 65 KB in length
- ENUM('a', 'b', 'c'), an enumerable with choices a, b, or c
Numeric Data Types
There are two types of numeric data types that you need to worry about: integers and decimals. The difference between the two should be pretty self-explanatory. The syntax for using these data types is:
- TINYINT, an integer n where -128 ≤ n ≤ 127
- TINYINT UNSIGNED, an integer n where 0 ≤ n ≤ 255
- SMALLINT, an integer n where -32,768 ≤ n ≤ 32,767
- SMALLINT UNSIGNED, an integer n where 0 ≤ n ≤ 65,535
- MEDIUMINT, an integer n where -8,388,608 ≤ n ≤ 8,388,607
- MEDIUMINT UNSIGNED, an integer n where 0 ≤ n ≤ 16,777,215
- INT, an integer n where -2,147,483,648 ≤ n ≤ 2,147,483,647
- INT UNSIGNED, an integer n where 0 ≤ n ≤ 4,294,967,295
- INT, an integer n where -9,223,372,036,854,775,808 ≤ n ≤ 9,223,372,036,854,775,807
- INT UNSIGNED, an integer n where 0 ≤ n ≤ 18,446,744,073,709,551,615
- DECIMAL(#a, #b), a decimal number at most #a digits long, #b of which are after the decimal point. For example, DECIMAL(5,2) can contain n where -999.99 ≤ n ≤ 999.99
In general, when choosing the size of an integer, you should use the smallest integer for which you know you will never "run out of room".