Ignoring the year in MySQL Query with date range?

To ignore the year with date range, use the DATE_FORMAT() with the between clause. Let us first create a demo table. The query to create a table is as follows −

mysql> create table igonreYearDemo    -> (    -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,    -> ShippingDate date    -> ); Query OK, 0 rows affected (0.75 sec)

Insert some records in the table using insert command. The query is as follows −

mysql> insert into igonreYearDemo(ShippingDate) values('2016-01-31'); Query OK, 1 row affected (0.16 sec) mysql> insert into igonreYearDemo(ShippingDate) values('2018-01-31'); Query OK, 1 row affected (0.13 sec) mysql> insert into igonreYearDemo(ShippingDate) values('2015-06-23'); Query OK, 1 row affected (0.17 sec) mysql> insert into igonreYearDemo(ShippingDate) values('2015-06-23'); Query OK, 1 row affected (0.15 sec) mysql> insert into igonreYearDemo(ShippingDate) values('2014-02-01'); Query OK, 1 row affected (0.20 sec) mysql> insert into igonreYearDemo(ShippingDate) values('2019-01-31'); Query OK, 1 row affected (0.16 sec) mysql> insert into igonreYearDemo(ShippingDate) values('2019-02-14'); Query OK, 1 row affected (0.11 sec) mysql> insert into igonreYearDemo(ShippingDate) values('2019-03-12'); Query OK, 1 row affected (0.19 sec)

Display all records from the table using select statement. The query is as follows −

mysql> select *from igonreYearDemo;

Here is the output −

+----+--------------+ | Id | ShippingDate | +----+--------------+ | 1 | 2016-01-31 | | 2 | 2018-01-31 | | 3 | 2015-06-23 | | 4 | 2015-06-23 | | 5 | 2014-02-01 | | 6 | 2019-01-31 | | 7 | 2019-02-14 | | 8 | 2019-03-12 | +----+--------------+ 8 rows in set (0.00 sec)

The following is the query to ignore year with date range −

mysql> select *from igonreYearDemo tbl where DATE_FORMAT(tbl.ShippingDate, '%m-%d') between '01-01' and '03-31';

Here is the output −

+----+--------------+ | Id | ShippingDate | +----+--------------+ | 1 | 2016-01-31 | | 2 | 2018-01-31 | | 5 | 2014-02-01 | | 6 | 2019-01-31 | | 7 | 2019-02-14 | | 8 | 2019-03-12 | +----+--------------+ 6 rows in set (0.00 sec)