How to select all distinct filename extensions from a table of filenames in MySQL?


You can use DISTINCT along with SUBSTRING_INDEX() to extract the filename extensions. Let us first create a table−

mysql> create table DemoTable
   (
   Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,
   FileName text
   );
Query OK, 0 rows affected (0.75 sec)

Insert records in the table using insert command −

mysql> insert into DemoTable(FileName) values('AddTwoValue.java');
Query OK, 1 row affected (0.16 sec)
mysql> insert into DemoTable(FileName) values('Image1.png');
Query OK, 1 row affected (0.16 sec)
mysql> insert into DemoTable(FileName) values('MultiplicationOfTwoNumbers.java');
Query OK, 1 row affected (0.16 sec)
mysql> insert into DemoTable(FileName) values('Palindrome.c');
Query OK, 1 row affected (0.16 sec)
mysql> insert into DemoTable(FileName) values('FoodCart.png');
Query OK, 1 row affected (0.25 sec)
mysql> insert into DemoTable(FileName) values('Permutation.py');
Query OK, 1 row affected (0.18 sec)

Display all records from the table using select statement −

mysql> select * from DemoTable;

This will produce the following output−

+----+---------------------------------+
| Id | FileName                        |
+----+---------------------------------+
| 1  | AddTwoValue.java                |
| 2  | Image1.png                      |
| 3  | MultiplicationOfTwoNumbers.java |
| 4  | Palindrome.c                    |
| 5  | FoodCart.png                    |
| 6  | Permutation.py                  |
+----+---------------------------------+
6 rows in set (0.00 sec)

Following is the query to select all distinct filename extensions from a table of filenames−

mysql> SELECT DISTINCT SUBSTRING_INDEX(FileName,'.',-1) FROM DemoTable;

This will produce the following output−

+----------------------------------+
| SUBSTRING_INDEX(FileName,'.',-1) |
+----------------------------------+
| java                             |
| png                              |
| c                                |
| py                               |
+----------------------------------+
4 rows in set (0.03 sec)

Updated on: 30-Jul-2019

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