Get timestamp date range with MySQL Select?

To select timestamp data range, use the below syntax −

SELECT *FROM yourTableName
where yourDataTimeField >= anyDateRange
and yourDataTimeField < anyDateRange

To understand the above syntax, let us create a table. The query to create a table is as follows −

mysql> create table DateRange
   −> (
   −> DueTime timestamp
   −> );
Query OK, 0 rows affected (1.34 sec)

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

mysql> insert into DateRange values('2016-11-13');
Query OK, 1 row affected (0.51 sec)

mysql> insert into DateRange values('2016-10-14');
Query OK, 1 row affected (0.23 sec)

mysql> insert into DateRange values('2017-01-23');
Query OK, 1 row affected (0.10 sec)

mysql> insert into DateRange values('2017-05-14');
Query OK, 1 row affected (0.19 sec)

mysql> insert into DateRange values('2017-08-25');
Query OK, 1 row affected (0.17 sec)

mysql> insert into DateRange values('2018-09-28');
Query OK, 1 row affected (0.18 sec)

mysql> insert into DateRange values('2018-11-17');
Query OK, 1 row affected (0.47 sec)

mysql> insert into DateRange values('2018-12-13');
Query OK, 1 row affected (0.17 sec)

mysql> insert into DateRange values('2018-12-16');
Query OK, 1 row affected (0.27 sec)

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

mysql> select *from DateRange;

The following is the output −

+---------------------+
| DueTime             |
+---------------------+
| 2016-11-13 00:00:00 |
| 2016-10-14 00:00:00 |
| 2017-01-23 00:00:00 |
| 2017-05-14 00:00:00 |
| 2017-08-25 00:00:00 |
| 2018-09-28 00:00:00 |
| 2018-11-17 00:00:00 |
| 2018-12-13 00:00:00 |
| 2018-12-16 00:00:00 |
+---------------------+
9 rows in set (0.00 sec)

To select timestamp date range, use the following query −

mysql> select *from DateRange
   −> where DueTime >= '2017-05-14'
   −> and DueTime < '2018-12-17';

The following is the output −

+---------------------+
| DueTime             |
+---------------------+
| 2017-05-14 00:00:00 |
| 2017-08-25 00:00:00 |
| 2018-09-28 00:00:00 |
| 2018-11-17 00:00:00 |
| 2018-12-13 00:00:00 |
| 2018-12-16 00:00:00 |
+---------------------+
6 rows in set (0.00 sec)

Suppose if your timestamp is in unix timestamp, then use the following syntax.

select *from yourTableName
where yourColumnName >= unix_timestamp('anyDateValue’)
and yourColumnName < unix_timestamp('anyDateValue’)