For this, you can use the LIKE clause. Let us first create a table −
mysql> create table DemoTable -> ( -> ClientName varchar(100) -> ); Query OK, 0 rows affected (0.85 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable values('John Smith'); Query OK, 1 row affected (0.15 sec) mysql> insert into DemoTable values('Smith John'); Query OK, 1 row affected (0.18 sec) mysql> insert into DemoTable values('Jone Deo'); Query OK, 1 row affected (0.17 sec) mysql> insert into DemoTable values('Deo Jone'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable values('Chris Brown'); 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 −
+-------------+ | ClientName | +-------------+ | John Smith | | Smith John | | Jone Deo | | Deo Jone | | Chris Brown | +-------------+ 5 rows in set (0.00 sec)
Following is the query to get records “Jone Deo” or “Deo Jone” in a single MySQL query −
mysql> select *from DemoTable -> where ClientName -> LIKE -> (SELECT SUBSTRING_INDEX("%Jone% %Deo%", " ", -1)) -> or -> (SELECT SUBSTRING_INDEX("%Deo% %Jone%", " ", 1));
Output
This will produce the following output −
+------------+ | ClientName | +------------+ | Jone Deo | | Deo Jone | +------------+ 2 rows in set (0.00 sec)