NUMERIC data type

The NUMERIC data type is used to store decimal numbers with precision total digits and with scale digits after the decimal point.

Syntax

NUMERIC [ ( precision [ , scale ] ) ]

Parameters

precision An integer expression between 1 and 127, inclusive, that specifies the number of digits in the expression. The default setting is 30.
scale An integer expression between 0 and 127, inclusive, that specifies the number of digits after the decimal point. The scale value should always be less than or equal to the precision value. The default setting is 6.

Remarks

The NUMERIC data type is an exact numeric data type; its accuracy is preserved to the least significant digit after arithmetic operations.

The number of bytes required to store a decimal number can be estimated as

2 + INT( (BEFORE+1)/2 ) + INT( (AFTER+1)/2 )

The INT function takes the integer portion of its argument, and BEFORE and AFTER are the number of significant digits before and after the decimal point. The storage is based on the value being stored, not on the maximum precision and scale allowed in the column.

If you are using a precision of 20 or less and a scale of 0, it may be possible to use one of the integer data types (BIGINT, INTEGER, SMALLINT, or TINYINT) instead. Integer values require less storage space than NUMERIC and DECIMAL values with a similar number of significant digits. Operations on integer values, such as fetching or inserting, and arithmetic operators, typically perform better than operations on NUMERIC and DECIMAL values.

NUMERIC is semantically equivalent to DECIMAL.

Note

If you create a column or variable of a NUMERIC data type with a precision or scale that exceeds the precision and scale settings for the database, values are truncated to the database settings. So, if you notice truncated values in a column or variable defined as NUMERIC, check that precision and scale do not exceed the database option settings.

Standards and compatibility

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