You can use GROUP BY along with aggregate function COUNT(). Let us first create a table −
mysql> create table DemoTable ( Id int NOT NULL AUTO_INCREMENT PRIMARY KEY, Size ENUM('S','M','L','XL') ); Query OK, 0 rows affected (0.69 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable(Size) values('L'); Query OK, 1 row affected (0.19 sec) mysql> insert into DemoTable(Size) values('S'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable(Size) values('S'); Query OK, 1 row affected (0.30 sec) mysql> insert into DemoTable(Size) values('M'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable(Size) values('XL'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable(Size) values('M'); Query OK, 1 row affected (0.13 sec) mysql> insert into DemoTable(Size) values('M'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable(Size) values('M'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable(Size) values('XL'); Query OK, 1 row affected (0.08 sec)
Display all records from the table using select statement −
mysql> select *from DemoTable;
This will produce the following output −
+----+------+ | Id | Size | +----+------+ | 1 | L | | 2 | S | | 3 | S | | 4 | M | | 5 | XL | | 6 | M | | 7 | M | | 8 | M | | 9 | XL | +----+------+ 9 rows in set (0.00 sec)
Following is the query to count items in table with table filed as ENUM −
mysql> SELECT tbl.Size, COUNT(1) AS Frequency from DemoTable tbl group by tbl.Size;
This will produce the following output −
+------+-----------+ | Size | Frequency | +------+-----------+ | L | 1 | | S | 2 | | M | 4 | | XL | 2 | +------+-----------+ 4 rows in set (0.00 sec)