You need to use LOCATE() along with SUBSTR(). The below syntax will find the word after delimiter. Here, delimiter is colon(:), you can use another i.e. it is up to you. The syntax is as follows −
SELECT SUBSTR(yourColumnName, LOCATE(':',yourColumnName)+1, (CHAR_LENGTH(yourColumnName) - LOCATE(':',REVERSE(yourColumnName)) - LOCATE(':',yourColumnName))) AS anyAliasName FROM yourTableName;
To understand the above syntax, let us create a table. The query to create a table is as follows −
mysql> create table SearchTextBetweenDelimitersDemo -> ( -> Id int NOT NULL AUTO_INCREMENT, -> Words longtext, -> PRIMARY KEY(Id) -> ); Query OK, 0 rows affected (0.67 sec)
Now you can insert some records in the table using insert command. The query is as follows −
mysql> insert into SearchTextBetweenDelimitersDemo(Words) values('Object:Oriented:Programming'); Query OK, 1 row affected (0.21 sec) mysql> insert into SearchTextBetweenDelimitersDemo(Words) values('C++:Java:C#'); Query OK, 1 row affected (0.21 sec) mysql> insert into SearchTextBetweenDelimitersDemo(Words) values('SQLServer:MySQL:Oracle'); Query OK, 1 row affected (0.17 sec) mysql> insert into SearchTextBetweenDelimitersDemo(Words) values('SQL SQLServer:MySQL:Oracle'); Query OK, 1 row affected (0.18 sec)
Display all records from the table using select statement. The query is as follows −
mysql> select *from SearchTextBetweenDelimitersDemo;
The following is the output −
+----+-----------------------------+ | Id | Words | +----+-----------------------------+ | 1 | Object:Oriented:Programming | | 2 | C++:Java:C# | | 3 | SQLServer:MySQL:Oracle | | 4 | SQL SQLServer:MySQL:Oracle | +----+-----------------------------+ 4 rows in set (0.00 sec)
Here is the query to search and show words between delimiters −
mysql> SELECT -> SUBSTR(Words, -> LOCATE(':',Words)+1, -> (CHAR_LENGTH(Words) - LOCATE(':',REVERSE(Words)) - LOCATE(':',Words))) AS Text -> FROM SearchTextBetweenDelimitersDemo;
The following is the output −
+----------+ | Text | +----------+ | Oriented | | Java | | MySQL | | MySQL | +----------+ 4 rows in set (0.00 sec)