MaxCompute:EXP

Static values

-- Returns 4.810477252069109
SELECT EXP(3.1415926/2);

-- Returns null
SELECT EXP(null);

Table data

The following examples use the sample table mf_math_fun_t. Create the table and insert sample data:

CREATE TABLE IF NOT EXISTS mf_math_fun_t (
    int_data     INT,
    bigint_data  BIGINT,
    double_data  DOUBLE,
    decimal_data DECIMAL,
    float_data   FLOAT,
    string_data  STRING
);

INSERT INTO mf_math_fun_t VALUES
(null, -10, 0.525, 0.525BD, cast(0.525 as float), '10'),
(-20, null, -0.1, -0.1BD, cast(-0.1 as float), '-10'),
(0, -1, null, 20.45BD, cast(-1 as float), '30'),
(-40, 4, 0.89, null, cast(0.89 as float), '-30'),
(5, -50, -1, -1BD, null, '50'),
(-60, 6, 1.5, 1.5BD, cast(1.5 as float), '-50'),
(-1, -70, -7.5, -7.5BD, cast(-7.5 as float), null),
(-80, 1, -10.2, -10.2BD, cast(-10.2 as float), '-1'),
(9, -90, 2.58, 2.58BD, cast(2.58 as float), '0'),
(-100, 10, -5.8, -5.8BD, cast(-5.8 as float), '-90');

Query the sample data:

SELECT * FROM mf_math_fun_t;

Result:

+------------+-------------+-------------+--------------+------------+-------------+
| int_data   | bigint_data | double_data | decimal_data | float_data | string_data |
+------------+-------------+-------------+--------------+------------+-------------+
| NULL       | -10         | 0.525       | 0.525        | 0.525      | 10          |
| -20        | NULL        | -0.1        | -0.1         | -0.1       | -10         |
| 0          | -1          | NULL        | 20.45        | -1.0       | 30          |
| -40        | 4           | 0.89        | NULL         | 0.89       | -30         |
| 5          | -50         | -1.0        | -1           | NULL       | 50          |
| -60        | 6           | 1.5         | 1.5          | 1.5        | -50         |
| -1         | -70         | -7.5        | -7.5         | -7.5       | NULL        |
| -80        | 1           | -10.2       | -10.2        | -10.2      | -1          |
| 9          | -90         | 2.58        | 2.58         | 2.58       | 0           |
| -100       | 10          | -5.8        | -5.8         | -5.8       | -90         |
+------------+-------------+-------------+--------------+------------+-------------+

Apply EXP to BIGINT, DOUBLE, DECIMAL, and STRING columns:

SELECT
    EXP(bigint_data)  AS bigint_new,
    EXP(double_data)  AS double_new,
    EXP(decimal_data) AS decimal_new,
    EXP(string_data)  AS string_new
FROM mf_math_fun_t;

Result:

+-------------------------+-------------------------+-------------------------+-------------------------+
| bigint_new              | double_new              | decimal_new             | string_new              |
+-------------------------+-------------------------+-------------------------+-------------------------+
| 0.000045399929762484854 | 1.6904588483790914      | 1.6904588483790914      | 22026.465794806718      |
| NULL                    | 0.9048374180359595      | 0.9048374180359595      | 0.000045399929762484854 |
| 0.36787944117144233     | NULL                    | 760890487.9368925       | 10686474581524.463      |
| 54.598150033144236      | 2.4351296512898744      | NULL                    | 9.357622968840175e-14   |
| 1.9287498479639178e-22  | 0.36787944117144233     | 0.36787944117144233     | 5.184705528587072e21    |
| 403.4287934927351       | 4.4816890703380645      | 4.4816890703380645      | 1.9287498479639178e-22  |
| 3.975449735908647e-31   | 0.0005530843701478336   | 0.0005530843701478336   | NULL                    |
| 2.718281828459045       | 0.000037170318684126734 | 0.000037170318684126734 | 0.36787944117144233     |
| 8.194012623990515e-40   | 13.197138159658358      | 13.197138159658358      | 1.0                     |
| 22026.465794806718      | 0.0030275547453758153   | 0.0030275547453758153   | 8.194012623990515e-40   |
+-------------------------+-------------------------+-------------------------+-------------------------+

Rows where the input column is null return NULL in the corresponding output column. STRING inputs are parsed as numeric values before the calculation is applied.