You can combine date and time from different MySQL columns to compare with the entire date time with the help of CONCAT() function. The syntax is as follows −
SELECT *FROM yourTableName WHERE CONCAT(yourDateColumnName,'',yourTimeColumnName) > 'yourDateTimeValue';
To understand the above syntax, let us create a table. The query to create a table is as follows −
mysql> create table DifferentDateTime -> ( -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY, -> ArrivalDate date, -> ArrivalTime time -> ); Query OK, 0 rows affected (1.53 sec)
Insert some records in the table using insert command. The query is as follows −
mysql> insert into DifferentDateTime(ArrivalDate,ArrivalTime) values(curdate(),'10:27:30'); Query OK, 1 row affected (0.14 sec) mysql> insert into DifferentDateTime(ArrivalDate,ArrivalTime) values('2016-04-24','15:00:00'); Query OK, 1 row affected (0.18 sec) mysql> insert into DifferentDateTime(ArrivalDate,ArrivalTime) values('2015-12-25','12:30:30'); Query OK, 1 row affected (0.18 sec) mysql> insert into DifferentDateTime(ArrivalDate,ArrivalTime) values('2012-01-31','16:00:30'); Query OK, 1 row affected (0.11 sec) mysql> insert into DifferentDateTime(ArrivalDate,ArrivalTime) values('2000-07-12','09:45:31'); Query OK, 1 row affected (0.11 sec)
Example
Display all records from the table using select statement. The query is as follows −
mysql> select *from DifferentDateTime;
Output
+----+-------------+-------------+ | Id | ArrivalDate | ArrivalTime | +----+-------------+-------------+ | 1 | 2019-02-14 | 10:27:30 | | 2 | 2016-04-24 | 15:00:00 | | 3 | 2015-12-25 | 12:30:30 | | 4 | 2012-01-31 | 16:00:30 | | 5 | 2000-07-12 | 09:45:31 | +----+-------------+-------------+ 5 rows in set (0.00 sec)
Example
Here is the query to combine date and time from different column and compare with date time value −
mysql> select *from DifferentDateTime where concat(ArrivalDate,'',ArrivalTime) > '2007-01-31 12:30:30';
Output
+----+-------------+-------------+ | Id | ArrivalDate | ArrivalTime | +----+-------------+-------------+ | 1 | 2019-02-14 | 10:27:30 | | 2 | 2016-04-24 | 15:00:00 | | 3 | 2015-12-25 | 12:30:30 | | 4 | 2012-01-31 | 16:00:30 | +----+-------------+-------------+ 4 rows in set (0.00 sec)