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Add 30 days to a value in a MySQL table?
To add 30 days to a value in the table, you can use ADDDATE() function with UPDATE command. The syntax is as follows:
UPDATE yourTableName SET yourDateColumnName=ADDDATE(yourDateColumnName,INTERVAL 30 DAY);
To understand the above syntax, let us create a table. The query to create a table is as follows:
mysql> create table Add30DayDemo -> ( -> Id int NOT NULL AUTO_INCREMENT, -> ShippingDate date, -> PRIMARY KEY(ID) -> ); Query OK, 0 rows affected (0.76 sec)
Insert some records in the table using insert command. The query is as follows:
mysql> insert into Add30DayDemo(ShippingDate) values('2019-02-04');
Query OK, 1 row affected (0.20 sec)
mysql> insert into Add30DayDemo(ShippingDate) values('2018-11-15');
Query OK, 1 row affected (0.18 sec)
mysql> insert into Add30DayDemo(ShippingDate) values('2013-05-18');
Query OK, 1 row affected (0.15 sec)
mysql> insert into Add30DayDemo(ShippingDate) values('2017-08-25');
Query OK, 1 row affected (0.20 sec)
mysql> insert into Add30DayDemo(ShippingDate) values('2016-03-01');
Query OK, 1 row affected (0.12 sec)
mysql> insert into Add30DayDemo(ShippingDate) values('2015-09-03');
Query OK, 1 row affected (0.13 sec)Display all records from the table using select statement. The query is as follows:
mysql> select *from Add30DayDemo;
The following is the output:
+----+--------------+ | Id | ShippingDate | +----+--------------+ | 1 | 2019-02-04 | | 2 | 2018-11-15 | | 3 | 2013-05-18 | | 4 | 2017-08-25 | | 5 | 2016-03-01 | | 6 | 2015-09-03 | +----+--------------+ 6 rows in set (0.00 sec)
Here is the query to add 30 days value in a table using DATEADD():
mysql> update Add30DayDemo -> SET ShippingDate=ADDDATE(ShippingDate,INTERVAL 30 DAY); Query OK, 6 rows affected (0.44 sec) Rows matched: 6 Changed: 6 Warnings: 0
Now check the table records once again. The query is as follows:
mysql> select *from Add30DayDemo;
The following is the output with the updated date:
+----+--------------+ | Id | ShippingDate | +----+--------------+ | 1 | 2019-03-06 | | 2 | 2018-12-15 | | 3 | 2013-06-17 | | 4 | 2017-09-24 | | 5 | 2016-03-31 | | 6 | 2015-10-03 | +----+--------------+ 6 rows in set (0.00 sec)
Updated on: 30-Jul-2019
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