Let us first create a table −
mysql> create table DemoTable1316 -> ( -> Value varchar(40) -> ); Query OK, 0 rows affected (0.47 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable1316 values('MySQL'); Query OK, 1 row affected (0.16 sec) mysql> insert into DemoTable1316 values('Java'); Query OK, 1 row affected (0.11 sec) mysql> insert into DemoTable1316 values('MongoDB'); Query OK, 1 row affected (0.21 sec) mysql> insert into DemoTable1316 values('C++'); Query OK, 1 row affected (0.13 sec)
Display all records from the table using select statement −
mysql> select *from DemoTable1316;
This will produce the following output. These are the words we need to select later and find in a text −
+---------+ | Value | +---------+ | MySQL | | Java | | MongoDB | | C++ | +---------+ 4 rows in set (0.00 sec)
Following is the query to select words in the above table from the text “Deep Dive using Java is good for advanced knowledge, but not MySQL” −
mysql> select Value -> from DemoTable1316 -> where ( 'Deep Dive using Java is good for advanced knowledge, but not MySQL') like concat('%',Value,'%');
Output
+-------+ | Value | +-------+ | MySQL | | Java | +-------+ 2 rows in set (0.05 sec)