Categories:

Numeric Functions (Rounding and Truncation)

# ROUND¶

Returns rounded values for input_expr.

## Syntax¶

ROUND( <input_expr> [, <scale_expr> ] )


## Arguments¶

input_expr

The value or expression to operate on. The data type should be one of the numeric data types, such as FLOAT or NUMBER.

scale_expr

The number of digits the output should include after the decimal point. The expression should evaluate to an integer from -38 to +38.

The default scale_expr is zero, meaning that the function removes all digits after the decimal point.

For information about negative numbers, see the Usage Notes below.

## Returns¶

The data type of the returned value is NUMBER(precision, scale).

If the input scale was greater than or equal to zero, then the output scale generally matches the input scale.

If the input scale was negative, then the output scale is 0.

For example:
• The data type returned by ROUND(3.14, 1) is NUMBER(4, 1).

• The data type returned by ROUND(3.14, 0) is NUMBER(4, 0).

• The data type returned by ROUND(33.33, -1) is NUMBER(5, 0).

If the scale is zero, then the value is effectively an integer.

## Usage Notes¶

• If scale_expr is negative, then it specifies the number of places before the decimal point to which to adjust the number. For example, if the scale is -2, then the result is a multiple of 100.

• If scale_expr is larger than the input expression scale, the function does not have any effect.

• If either the input_expr or the scale_expr is NULL, then the result is NULL.

• Half-points are rounded away from zero for decimals. For example, -0.5 is rounded to -1.0.

• Floating point numbers are approximate values. There’s no guarantee a floating point number will round as expected. To return exact numbers, we recommend casting floating point numbers to decimals before rounding.

• If rounding brings the number outside of the range of values of the data type, then an error is returned.

## Examples¶

This first example shows a simple example of ROUND, with the default number of decimal places (0):

SELECT ROUND(135.135), ROUND(-975.975);
+----------------+-----------------+
| ROUND(135.135) | ROUND(-975.975) |
|----------------+-----------------|
|            135 |            -976 |
+----------------+-----------------+


The next example uses a range of values for the scale parameter:

SELECT n, scale, ROUND(n, scale)
FROM test_ceiling
ORDER BY n, scale;
+----------+-------+-----------------+
|        N | SCALE | ROUND(N, SCALE) |
|----------+-------+-----------------|
| -975.975 |    -1 |        -980     |
| -975.975 |     0 |        -976     |
| -975.975 |     2 |        -975.98  |
|  135.135 |    -2 |         100     |
|  135.135 |     0 |         135     |
|  135.135 |     1 |         135.1   |
|  135.135 |     3 |         135.135 |
|  135.135 |    50 |         135.135 |
|  135.135 |  NULL |            NULL |
+----------+-------+-----------------+


The next example shows that FLOAT values are not always stored exactly. As you can see below, in some cases .005 is rounded to .01, while in other cases it is rounded to 0. The difference is not in the rounding; the difference is actually in the underlying representation of the floating point number; 1.005 is stored as a number very slightly smaller than 1.005 (approximately 1.004999). The DECIMAL value, however is stored as an exact number, and is rounded to .01 as expected in all cases.

CREATE OR REPLACE TEMP TABLE rnd1(f float, d DECIMAL(10, 3));
INSERT INTO rnd1 (f, d) VALUES
( -10.005,  -10.005),
(  -1.005,   -1.005),
(   1.005,    1.005),
(  10.005,   10.005)
;


Show examples of difference between rounded FLOAT values and rounded DECIMAL values:

select f, round(f, 2),
d, round(d, 2)
from rnd1
order by 1;
+---------+-------------+---------+-------------+
|       F | ROUND(F, 2) |       D | ROUND(D, 2) |
|---------+-------------+---------+-------------|
| -10.005 |      -10.01 | -10.005 |      -10.01 |
|  -1.005 |       -1    |  -1.005 |       -1.01 |
|   1.005 |        1    |   1.005 |        1.01 |
|  10.005 |       10.01 |  10.005 |       10.01 |
+---------+-------------+---------+-------------+ 