MySQL select dates in 30-day range?

To select dates in 30-day range, you can use arithmetic operation - with interval.

The syntax is as follows −

select *from yourTableName
where yourDateColumnName > NOW() - INTERVAL 30 DAY
and yourDateColumnName < NOW() + 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 selectDatesDemo
   -> (
   -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,
   -> ArrivalDate datetime
   -> );
Query OK, 0 rows affected (0.77 sec)

Now you can insert some records in the table using insert command. The query is as follows −

mysql> insert into selectDatesDemo(ArrivalDate) values('2019-01-10');
Query OK, 1 row affected (0.12 sec)
mysql> insert into selectDatesDemo(ArrivalDate) values('2019-01-29');
Query OK, 1 row affected (0.21 sec)
mysql> insert into selectDatesDemo(ArrivalDate) values('2019-02-13');
Query OK, 1 row affected (0.14 sec)
mysql> insert into selectDatesDemo(ArrivalDate) values('2019-02-19');
Query OK, 1 row affected (0.14 sec)
mysql> insert into selectDatesDemo(ArrivalDate) values('2018-02-13');
Query OK, 1 row affected (0.17 sec)
mysql> insert into selectDatesDemo(ArrivalDate) values('2018-03-13');
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 selectDatesDemo;

Here is the output −

+----+---------------------+
| Id | ArrivalDate         |
+----+---------------------+
| 1  | 2019-01-10 00:00:00 |
| 2  | 2019-01-29 00:00:00 |
| 3  | 2019-02-13 00:00:00 |
| 4  | 2019-02-19 00:00:00 |
| 5  | 2018-02-13 00:00:00 |
| 6  | 2018-03-13 00:00:00 |
+----+---------------------+
6 rows in set (0.00 sec)

Here is the query to select dates in 30-day range −

mysql> select *from selectDatesDemo
   -> where ArrivalDate > NOW() - INTERVAL 30 DAY
   -> and ArrivalDate < NOW() + INTERVAL 30 DAY;

The following is The output −

+----+---------------------+
| Id | ArrivalDate         |
+----+---------------------+
| 3  | 2019-02-13 00:00:00 |
| 4  | 2019-02-19 00:00:00 |
+----+---------------------+
2 rows in set (0.04 sec)