MySQL ADDDATE() Function

The MySQL ADDDATE() function adds a specified time/date interval to a date/datetime value and then returns the modified date/datetime value.

This function (version 1 syntax) is a synonym for the DATE_ADD() function.

Using this function with a negative value as a parameter is equivalent to using the SUBDATE() function.

Syntax

/* version 1 */
ADDDATE(datetime, INTERVAL value unit)

/* version 2 */
ADDDATE(datetime, days)

Parameters

`datetime`	`Required.` Specify a date or datetime value to be modified.
`days`	`Required.` Specify the number of days to add to datetime. Both positive and negative values are allowed.
`value`	`Required.` Specify the value of the time/date interval to add. Both positive and negative values are allowed.
`unit`	`Required.` Specify the unit type of interval to add. It can be one of the following values: MICROSECOND SECOND MINUTE HOUR DAY WEEK MONTH QUARTER YEAR SECOND_MICROSECOND MINUTE_MICROSECOND MINUTE_SECOND HOUR_MICROSECOND HOUR_SECOND HOUR_MINUTE DAY_MICROSECOND DAY_SECOND DAY_MINUTE DAY_HOUR YEAR_MONTH

Return Value

Returns the modified date/datetime value.

Example 1:

The example below shows the usage of ADDDATE() function.

mysql> SELECT ADDDATE('2019-10-25', 10);
Result: '2019-11-04'

mysql> SELECT ADDDATE('2019-10-25', INTERVAL 10 DAY);
Result: '2019-11-04'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL 2 HOUR);
Result: '2019-10-25 10:10:25'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL -2 HOUR);
Result: '2019-10-25 06:10:25'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL 30 MINUTE);
Result: '2019-10-25 08:40:25'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL -10 SECOND);
Result: '2019-10-25 08:10:15'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL 1 WEEK);
Result: '2019-11-01 08:10:25'

mysql> SELECT ADDDATE('2019-10-25', INTERVAL -2 MONTH);
Result: '2019-08-25'

mysql> SELECT ADDDATE('2019-10-25', INTERVAL 2 QUARTER);
Result: '2020-04-25'

mysql> SELECT ADDDATE('2019-10-25', INTERVAL 2 YEAR);
Result: '2021-10-25'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL 10 MICROSECOND);
Result: '2019-10-25 08:10:25.000010'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '5.0000010' SECOND_MICROSECOND);
Result: '2019-10-25 08:10:30.000010'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '10:5.0000010' MINUTE_MICROSECOND);
Result: '2019-10-25 08:20:30.000010'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '10:5' MINUTE_SECOND);
Result: '2019-10-25 08:20:30'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '2:10:5.0000010' HOUR_MICROSECOND);
Result: '2019-10-25 10:20:30.000010'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '2:10:5' HOUR_SECOND);
Result: '2019-10-25 10:20:30'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '2:10' HOUR_MINUTE);
Result: '2019-10-25 10:20:25'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '3 2:10:5.0000010' DAY_MICROSECOND);
Result: '2019-10-28 10:20:30.000010'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '3 2:10:5' DAY_SECOND);
Result: '2019-10-28 10:20:30'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '3 2:10' DAY_MINUTE);
Result: '2019-10-28 10:20:25'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '3 2' DAY_HOUR);
Result: '2019-10-28 10:10:25'

mysql> SELECT ADDDATE('2019-10-25 08:10:25', INTERVAL '2 5' YEAR_MONTH);
Result: '2022-03-25 08:10:25'

Example 2:

Consider a database table called EmployeeLogin with the following records:

EmpID	Name	Login Stamp	Expected Logout Stamp
1	John	2019-10-25 09:20:38	2019-10-25 17:50:38
2	Marry	2019-10-25 09:21:05	2019-10-25 17:51:05
3	Jo	2019-10-25 09:24:35	2019-10-25 17:54:35
4	Kim	2019-10-25 09:25:24	2019-10-25 17:55:24
5	Ramesh	2019-10-25 09:27:16	2019-10-25 17:57:16

To insert a new record in this table, the following statement can be used.

INSERT INTO EmployeeLogin 
VALUES (6, 'Suresh', NOW(), ADDDATE(NOW(), INTERVAL '8:30' HOUR_MINUTE));

-- see the result
SELECT * FROM EmployeeLogin;

This will produce a result similar to:

EmpID	Name	Login Stamp	Expected Logout Stamp
1	John	2019-10-25 09:20:38	2019-10-25 17:50:38
2	Marry	2019-10-25 09:21:05	2019-10-25 17:51:05
3	Jo	2019-10-25 09:24:35	2019-10-25 17:54:35
4	Kim	2019-10-25 09:25:24	2019-10-25 17:55:24
5	Ramesh	2019-10-25 09:27:16	2019-10-25 17:57:16
6	Suresh	2019-10-25 09:28:19	2019-10-25 17:58:19

❮ MySQL Functions