SQL supports various data types that allow you to store different types of data in a database table. The specific data types available can vary across different database systems, but here are some commonly used SQL data types:
1. Numeric Data Types:
- INT or INTEGER: Used to store integer values.
- SMALLINT: Stores smaller integer values.
- BIGINT: Stores large integer values.
- DECIMAL or NUMERIC: Used for storing decimal numbers with fixed precision and scale.
- FLOAT: Stores floating-point numbers with a certain precision.
- REAL or DOUBLE: Used for storing floating-point numbers with a higher precision than FLOAT.
2. Character String Data Types:
- CHAR: Stores fixed-length character strings.
- VARCHAR or VARCHAR2: Stores variable-length character strings.
- TEXT: Stores large variable-length character strings.
- CLOB: Stores large character strings, typically used for storing text documents.
3. Date and Time Data Types:
- DATE: Stores a date value without a time component.
- TIME: Stores a time value without a date component.
- DATETIME or TIMESTAMP: Stores a combination of date and time values.
- INTERVAL: Represents a duration or time interval.
4. Boolean Data Type:
- BOOLEAN or BOOL: Stores boolean values (true or false).
5. Binary Data Types:
- BINARY: Stores fixed-length binary data.
- VARBINARY: Stores variable-length binary data.
- BLOB: Stores large binary data, typically used for storing images, files, or multimedia content.
6. Other Data Types:
- ENUM: Defines a list of allowed values for a column.
- SET: Represents a set of values, where multiple values can be selected.
- JSON: Stores JSON (JavaScript Object Notation) data.
- XML: Stores XML (eXtensible Markup Language) data.
These are just some of the commonly used SQL data types. The available data types can vary based on the specific database system you are using. It's important to refer to the documentation of your database system for the complete list of data types and their specifications. Additionally, some database systems provide extensions or additional data types beyond the SQL standard, so it's worth exploring the specific features offered by your chosen database system.
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