In SQL databases, there are several data types available to store different types of data. The specific data types may vary slightly depending on the database management system (DBMS) being used, but I will mention some commonly supported data types in SQL.
- Numeric Data Types:
- Integer (INT): Whole numbers, e.g., 1, 10, -5.
- Decimal/numeric (DECIMAL/NUMERIC): Fixed-point numbers with a specified precision and scale, e.g., 3.14, 100.25.
- Floating-point (FLOAT): Approximate numeric values, e.g., 3.14159, 1.23E-10.
- Character Data Types:
- Character/char (CHAR): Fixed-length character strings, e.g., ‘Hello’, ‘John’.
- Variable-length character strings (VARCHAR): Variable-length character strings, e.g., ‘OpenAI’, ‘SQL’.
- Text (TEXT): Variable-length character strings with a potentially large size, used for storing longer texts.
- Date and Time Data Types:
- Date (DATE): Stores date values in the format YYYY-MM-DD, e.g., ‘2023-05-15’.
- Time (TIME): Stores time values in the format HH:MI:SS, e.g., ’14:30:00′.
- Timestamp (TIMESTAMP): Stores both date and time values, e.g., ‘2023-05-15 14:30:00’.
- Boolean Data Type:
- Boolean (BOOL): Represents true or false values.
- Binary Data Types:
- Binary/varbinary (BINARY/VARBINARY): Stores binary data, such as images or files.
- Blob (BLOB): Similar to varbinary, used for storing large binary objects.
- Other Data Types:
- Money (MONEY): Stores currency values.
- XML (XML): Stores XML data.
- JSON (JSON): Stores JSON data.
These are just some commonly used data types in SQL databases. Some DBMSs may provide additional data types or variations of the mentioned types. It’s always a good practice to refer to the specific documentation of the database you are using to get the complete list of supported data types.
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