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Syntax
Exact numeric data types
Data types
Exact numeric data types are used to represent the exact value of a number. This is the syntax
for exact numeric data types:
TINYINT | SMALLINT | INTEGER | BIGINT
| NUMERIC | NUMBER [ ( precision [ , scale ] ) ]
| DECIMAL [ ( precision , scale ) ]
TINYINT
SMALLINT
INTEGER
BIGINT
Corresponds to an integer value in the range –128 to +127 inclusive.
Corresponds to an integer value in the range of –32768 to 32767 inclusive.
Corresponds to an integer value in the range of –2147483648 to 2147483647 inclusive.
Corresponds to an integer value in the range of -9223372036854775808 to
9223372036854775807 inclusive.
NUMERIC | NUMBER [ ( precision [ , scale ] ) ]
Corresponds to a number with the given precision (maximum number of digits) and scale
(the number of digits to the right of the decimal point). By default, NUMERIC columns have
a precision of 32 and a scale of 0. If NUMERIC columns omit the scale, the default scale is 0.
The range of values for a NUMERIC type column is -n to +n where n is the largest number
that can be represented with the specified precision and scale. If a value exceeds the
precision of a NUMERIC column, SQL generates an overflow error. If a value exceeds the
scale of a NUMERIC column, SQL rounds the value.
NUMERIC type columns cannot specify a negative scale or specify a scale larger than the
precision.
DECIMAL [ ( precision , scale ) ]
Equivalent to type NUMERIC.
Approximate numeric data types
Approximate numeric data types are used to define data with a wide range of values and whose
precision does not have to be exact. This is the syntax for an approximate data type:
Syntax
{ REAL | DOUBLE PRECISION | FLOAT [ ( precision ) ] }
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