The Float Data Type in Teradata is used to store floating-point numeric values. It is a versatile data type that can represent both small and large decimal numbers with precision.
Why Use Float Data Type?
The Float data type is useful when you need to store numbers with decimal places and a wide range of values. It provides flexibility in handling scientific calculations, financial data, and other situations where precision is required.
Float Data Type Syntax
In Teradata, the syntax for declaring a column with the float data type is as follows:
CREATE TABLE table_name ( column_name FLOAT );
Precision and Range
Teradata supports different levels of precision for the float data type based on your requirements. The precision determines the number of significant digits that can be stored.
- Single Precision: The single-precision float can store decimal numbers with 7 significant digits.
It uses 4 bytes of storage.
- Double Precision: The double-precision float provides higher precision and can store decimal numbers with 15 significant digits. It uses 8 bytes of storage.
The choice between single or double precision depends on the specific needs of your application. If you require higher accuracy, it is recommended to use double precision.
Example 1: Single Precision Float
CREATE TABLE sales ( amount FLOAT(7) );
In this example, we create a table called ‘sales’ with a column named ‘amount’ using single-precision float data type. The ‘amount’ column can store decimal numbers with up to 7 significant digits.
Example 2: Double Precision Float
CREATE TABLE financial_data ( balance FLOAT(15) );
In this example, we create a table called ‘financial_data’ with a column named ‘balance’ using double-precision float data type. The ‘balance’ column can store decimal numbers with up to 15 significant digits.
The float data type in Teradata is a powerful tool for handling decimal numbers with precision. By choosing the appropriate precision level, you can ensure accurate storage and manipulation of your numeric data.