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In SQL, each column in a table is assigned a specific data type that defines the kind of data it can store. This helps SQL understand how to interact with the data and ensures data integrity. The data types can vary across different database systems, but they generally fall into several broad categories: numeric, string, date and time, and others.
Numeric Data Types
Numeric data types are used to store numbers. They can be further divided into exact and approximate numeric types.
Exact Numeric Types: These include INT, BIGINT, SMALLINT, TINYINT, DECIMAL, and NUMERIC. For example, INT can store whole numbers between -2,147,483,648 and 2,147,483,647.
Approximate Numeric Types: These include FLOAT and REAL. For instance, FLOAT can store floating-point numbers with a precision specified by the user.
String Data Types
String data types are used to store text. They can be fixed-length or variable-length.
SQL Data Types (With Examples) - Programiz
In SQL, each column has a data type that defines the kind of data that a column can store. In this tutorial, you will learn about Data Types in SQL with the help of examples.
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