For this, use GROUP BY along with ORDER BY −
select yourColumnName,count(*) as anyAliasName from yourTableName group by yourColumnName order by yourColumnName;
Let us create a table −
mysql> create table demo7 −> ( −> id int NOT NULL AUTO_INCREMENT, −> first_name varchar(50) −> , −> primary key(id) −> ); Query OK, 0 rows affected (1.22 sec)
Insert some records into the table with the help of insert command −
mysql> insert into demo7(first_name) values('John'); Query OK, 1 row affected (0.09 sec) mysql> insert into demo7(first_name) values('David'); Query OK, 1 row affected (0.22 sec) mysql> insert into demo7(first_name) values('John'); Query OK, 1 row affected (0.07 sec) mysql> insert into demo7(first_name) values('Bob'); Query OK, 1 row affected (0.27 sec) mysql> insert into demo7(first_name) values('David'); Query OK, 1 row affected (0.11 sec) mysql> insert into demo7(first_name) values('David'); Query OK, 1 row affected (0.09 sec) mysql> insert into demo7(first_name) values('John'); Query OK, 1 row affected (0.26 sec) mysql> insert into demo7(first_name) values('John'); Query OK, 1 row affected (0.09 sec)
Display records from the table using select statement −
mysql> select *from demo7;
This will produce the following output −
+----+------------+ | id | first_name | +----+------------+ | 1 | John | | 2 | David | | 3 | John | | 4 | Bob | | 5 | David | | 6 | David | | 7 | John | | 8 | John | +----+------------+ 8 rows in set (0.00 sec)
Following is the query to group result in MySQL and show on list −
mysql> select first_name,count(*) as frequency from demo7 group by first_name order by first_name;
This will produce the following output −
+------------+-----------+ | first_name | frequency | +------------+-----------+ | Bob | 1 | | David | 3 | | John | 4 | +------------+-----------+ 3 rows in set (0.00 sec)