What does decimal mean in mysql?

The DECIMAL data type in MySQL is used to store exact decimal numbers with a decimal point. Features include: Precision: specified by number of digits and fixed number of decimal places. Range: Allows storing large or small decimal values, depending on precision. Precision Guarantee: Unlike floating point types, DECIMAL is guaranteed to store the exact value, avoiding rounding errors. Syntax: DECIMAL(precision, scale), precision specifies the total number of digits, and scale specifies the number of decimal places. Usage scenarios: monetary calculations, measurement, science, finance and accounting, etc. where precise calculations are required.

DECIMAL in MySQL

The DECIMAL data type is used to store fixed-precision decimal numbers with a decimal point. It is a precise numeric type used where precise numerical calculations are required.

Features:

• Precision:is specified by two parts, the number of digits (total length) and the number of decimal places.
• Range:Allows storing very large or very small decimal values, depending on precision.
• Precision guarantee:Unlike floating point types (such as FLOAT and DOUBLE), DECIMAL is guaranteed to store an exact value, unaffected by rounding errors.

Syntax:

DECIMAL(precision, scale)

• precision:Specify the total number of digits (including decimal points).
• scale:Specify the number of decimal places.

Example:

DECIMAL(10, 2)

This example defines a DECIMAL data type with a total length of 10 digits and a scale of 2 digits.

Usage scenarios:

DECIMAL data type is usually used in the following scenarios:

• Currency calculation:Storage amount Or monetary values that require precise calculation, such as prices.
• Measurement and Science:Storage values that require accuracy such as measurements or calculation results.
• Finance and Accounting:Store transaction amounts, balances and other financial data that need to be calculated accurately.

Note:

• The DECIMAL data type takes up more storage space than the floating-point data type.
• For scenarios that do not require precise calculations, you can use the FLOAT or DOUBLE data type.
• The appropriate DECIMAL precision should be chosen based on actual precision requirements to avoid storing unnecessary data or rounding errors.

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