# Number-Type Literals

Vertica supports three types of numbers: integers, numerics, and floats.

• Integers are whole numbers less than 2^63 and must be digits.
• Numerics are whole numbers larger than 2^63 or that include a decimal point with a precision and a scale. Numerics can contain exponents. Numbers that begin with 0x are hexadecimal numerics.

Numeric-type values can also be generated using casts from character strings. This is a more general syntax. See the Examples section below, as well as Data Type Coercion Operators (CAST).

## Syntax

```digits
digits.[digits] | [digits].digits
digits e[+-]digits | [digits].digits e[+-]digits | digits.[digits] e[+-]digits```

## Parameters

 digits One or more numeric characters, 0 through 9 e Exponent marker

## Notes

• At least one digit must follow the exponent marker (`e`), if `e` is present.
• There cannot be any spaces or other characters embedded in the constant.
• Leading plus (+) or minus (–) signs are not considered part of the constant; they are unary operators applied to the constant.
• In most cases a numeric-type constant is automatically coerced to the most appropriate type depending on context. When necessary, you can force a numeric value to be interpreted as a specific data type by casting it as described in Data Type Coercion Operators (CAST).
• Floating point literals are not supported. If you specifically need to specify a float, you can cast as described in Data Type Coercion Operators (CAST).
• Vertica follows the IEEE specification for floating point, including NaN (not a number) and Infinity (Inf).
• A NaN is not greater than and at the same time not less than anything, even itself. In other words, comparisons always return false whenever a NaN is involved.
• Dividing INTEGERS (x / y) yields a NUMERIC result. You can use the // operator to truncate the result to a whole number.

## Examples

The following are examples of number-type literals:

```42
3.5
4.
.001
5e2
1.925e-3
```

Scientific notation`:`

```=> SELECT NUMERIC '1e10';
?column?
-------------
10000000000
(1 row)
```

`BINARY` scaling`:`

```=> SELECT NUMERIC '1p10';
?column?
----------
1024
(1 row)
=> SELECT FLOAT 'Infinity';
?column?
----------
Infinity
(1 row)
```

The following examples illustrated using the / and // operators to divide integers:

```=> SELECT 40/25;
?column?
----------------------
1.600000000000000000
(1 row)```
```=> SELECT 40//25;
?column?
----------
1
(1 row)
```