Counting different distinct items in a single MySQL query?



To count items, use COUNT() along with DISTINCT. Here, DISTINCT is used to return distinct values. Let us now see an example and create a table −

mysql> create table DemoTable (    CustomerId int,    CustomerName varchar(20),    ProductName varchar(40) ); Query OK, 0 rows affected (1.02 sec)

Insert some records in the table using insert command −

mysql> insert into DemoTable values(101,'Chris','Product-1'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable values(102,'David','Product-2'); Query OK, 1 row affected (0.19 sec) mysql> insert into DemoTable values(101,'Chris','Product-1'); Query OK, 1 row affected (0.30 sec) mysql> insert into DemoTable values(101,'Chris','Product-2'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable values(101,'Chris','Product-1'); Query OK, 1 row affected (0.14 sec)

Display all records from the table using select statement −

mysql> select *from DemoTable;

This will produce the following output −

+------------+--------------+-------------+ | CustomerId | CustomerName | ProductName | +------------+--------------+-------------+ |        101 | Chris        | Product-1   | |        102 | David        | Product-2   | |        101 | Chris        | Product-1   | |        101 | Chris        | Product-2   | |        101 | Chris        | Product-1 | +------------+--------------+-------------+ 5 rows in set (0.00 sec)

Following is the query to count different items in a single query −

mysql> select count(distinct ProductName) from DemoTable where CustomerId=101;

This will produce the following output −

+-----------------------------+ | count(distinct ProductName) | +-----------------------------+ | 2 | +-----------------------------+ 1 row in set (0.00 sec)
Updated on: 2019-10-07T12:15:48+05:30

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