Let us first create a table −
mysql> create table DemoTable -> ( -> CollegeCode varchar(100) -> ); Query OK, 0 rows affected (0.53 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable values('Col.1995.01.21'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable values('Col.2016.11.22'); Query OK, 1 row affected (0.20 sec) mysql> insert into DemoTable values(null); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable values('Col.2018.12.01'); Query OK, 1 row affected (0.22 sec) mysql> insert into DemoTable values('Col.2019.03.12'); Query OK, 1 row affected (0.15 sec)
Display all records from the table using select statement −
mysql> select *from DemoTable;
Output
This will produce the following output −
+----------------+ | CollegeCode | +----------------+ | Col.1995.01.21 | | Col.2016.11.22 | | NULL | | Col.2018.12.01 | | Col.2019.03.12 | +----------------+ 5 rows in set (0.00 sec)
Following is the query for MySQL LIKE −
mysql> select *from DemoTable where CollegeCode LIKE '%Col%' or CollegeCode is NULL;
Output
This will produce the following output −
+----------------+ | CollegeCode | +----------------+ | Col.1995.01.21 | | Col.2016.11.22 | | NULL | | Col.2018.12.01 | | Col.2019.03.12 | +----------------+ 5 rows in set (0.00 sec)
Following is the query for NOT LIKE −
mysql> select *from DemoTable where CollegeCode NOT LIKE '%College%' or CollegeCode is NULL;
Output
This will produce the following output −
+----------------+ | CollegeCode | +----------------+ | Col.1995.01.21 | | Col.2016.11.22 | | NULL | | Col.2018.12.01 | | Col.2019.03.12 | +----------------+ 5 rows in set (0.00 sec)