It can be done by applying TRIM() function on the column along with MySQL UPDATE statement. The example below will make it more clear.
Example
Suppose, we have a table ‘Employee’ which have the prefix ‘Dept.’ with all the values of Column ‘Department’ as follows −
mysql> Select * from Employee; +------+----------------+------------+----------------------+ | Id | Name | Address | Department | +------+----------------+------------+----------------------+ | 100 | Raman | Delhi | IT Dept. | | 101 | Mohan | Haryana | History Dept. | | 102 | Shyam | Chandigarh | ENGLISH Dept. | | 103 | Sukhjeet Singh | Patiala | Computer Engg. Dept. | | 104 | Bimal Roy | Calcutta | Computer Engg. Dept. | +------+----------------+------------+----------------------+ 5 rows in set (0.01 sec)
Now, the query below will remove the prefix ‘Dept.’ from column Department and also update the table.
mysql> Update Employee set Department = TRIM(Trailing 'Dept.' FROM Department); Query OK, 5 rows affected (0.10 sec) Rows matched: 5 Changed: 5 Warnings: 0 mysql> Select * from Employee; +------+----------------+------------+-----------------+ | Id | Name | Address | Department | +------+----------------+------------+-----------------+ | 100 | Raman | Delhi | IT | | 101 | Mohan | Haryana | History | | 102 | Shyam | Chandigarh | ENGLISH | | 103 | Sukhjeet Singh | Patiala | Computer Engg. | | 104 | Bimal Roy | Calcutta | Computer Engg. | +------+----------------+------------+-----------------+ 5 rows in set (0.00 sec)
The result set above shows that there is no prefix ‘Dept.’ with the column values.