Structured Query Language (SQL) is a programming language used to manage and manipulate relational databases. SQL data types are used to define the type of data that can be stored in a database table column. The data type of a column determines the kind of data that can be stored in that column. SQL data types are classified into several categories, including numeric, character, date/time, and Boolean data types.
Numeric data types are used to store numeric values. The most common numeric data types in SQL are:
Here are some examples of how to define numeric data types in SQL:
<pre>
CREATE TABLE employees (
id INTEGER,
salary DECIMAL(10,2),
age FLOAT
);
</pre>
Character data types are used to store character strings. The most common character data types in SQL are:
Here are some examples of how to define character data types in SQL:
<pre>
CREATE TABLE customers (
id INTEGER,
name VARCHAR(50),
address TEXT
);
</pre>
Date/time data types are used to store date and time values. The most common date/time data types in SQL are:
Here are some examples of how to define date/time data types in SQL:
<pre>
CREATE TABLE orders (
id INTEGER,
order_date DATE,
order_time TIME,
order_timestamp TIMESTAMP
);
</pre>
Boolean data types are used to store true/false values. The most common Boolean data type in SQL is:
Here is an example of how to define a Boolean data type in SQL:
<pre>
CREATE TABLE products (
id INTEGER,
in_stock BOOLEAN
);
</pre>
SQL data types are an important aspect of managing and manipulating relational databases. By understanding the different types of data that can be stored in a database table column, you can ensure that your database is structured correctly and that your data is stored in the most efficient way possible.