Non-integer

Synopsis

Use the non-integer (floating-point and fixed-point) data types to specify non-integer numbers. Different floating point data types represent different precision numbers.

Data type	Description	Decimal precision
FLOAT	Inexact 32-bit floating point number	7
DOUBLE	Inexact 64-bit floating point number	15
DECIMAL	Arbitrary-precision number	no upper-bound

Syntax

type_specification ::= { FLOAT | DOUBLE | DOUBLE PRECISION | DECIMAL }

non_integer_floating_point_literal ::= non_integer_fixed_point_literal | "NaN" | "Infinity" | "-Infinity"

non_integer_fixed_point_literal ::= [ + | - ] { digit [ digit ...] '.' [ digit ...] | '.' digit [ digit ...] }

Where

• Columns of type FLOAT, DOUBLE, DOUBLE PRECISION, or DECIMAL can be part of the PRIMARY KEY.
• DOUBLE and DOUBLE PRECISION are aliases.
• non_integer_floating_point_literal is used for values of FLOAT, DOUBLE and DOUBLE PRECISION types.
• non_integer_fixed_point_literal is used for values of DECIMAL type.

Semantics

• Values of different floating-point and fixed-point data types are comparable and convertible to one another.
  • Conversion from floating-point types into DECIMAL will raise an error for the special values NaN, Infinity, and -Infinity.
• Values of non-integer numeric data types are neither comparable nor convertible to integer although integers are convertible to them.
• The ordering for special floating-point values is defined as (in ascending order): -Infinity, all negative values in order, all positive values in order, Infinity, and NaN.

Examples

Integers literals can also be used (Using upsert semantics to update a non-existent row).

 sensor_id | float_val | dbl_val   | dec_val
-----------+-----------+-----------+-------------
         2 |         1 |         1 |           1
         1 | 321.04568 | 321.04568 | 321.0456789

See also

• Data types