One of the key features of SQL language is its support for different data types, which allows developers to store and work with different kinds of data in a database. When creating tables or declaring variables in SQL, it’s important to specify the data type for each column or variable. The data type determines the kind of data that can be stored in the column or variable and how the data is stored.
Here are some common SQL data types:
Numeric data types These are used to store numeric values such as integers, decimals, and floating-point numbers. Some examples of numeric data types include INTEGER, SMALLINT, BIGINT, NUMERIC, DECIMAL, FLOAT, and REAL.
Date and time data types These are used to store date and time values such as the current date and time or a specific date and time. Some examples of date and time data types include DATE, TIME, DATETIME, and DATETIME2.
When creating a database table in SQL, developers need to specify the data type of each column. This helps ensure that the data is stored in the correct format and that it can be easily queried and manipulated. It is also important to choose the appropriate data type based on the nature of the data being stored in the database. Choosing the wrong data type can result in data loss, decreased performance, or other issues.