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Multiple COUNT() for multiple conditions in a single MySQL query?
You can count multiple COUNT() for multiple conditions in a single query using GROUP BY.
The syntax is as follows -
SELECT yourColumnName,COUNT(*) from yourTableName group by yourColumnName;
To understand the above syntax, let us first create a table. The query to create a table is as follows.
mysql> create table MultipleCountDemo -> ( -> Id int, -> Name varchar(100), -> Age int -> ); Query OK, 0 rows affected (2.17 sec)
Insert records in the table using insert command. The query is as follows.
mysql> insert into MultipleCountDemo values(1,'Carol',21); Query OK, 1 row affected (0.27 sec) mysql> insert into MultipleCountDemo values(2,'Sam',21); Query OK, 1 row affected (0.29 sec) mysql> insert into MultipleCountDemo values(3,'Bob',22); Query OK, 1 row affected (0.10 sec) mysql> insert into MultipleCountDemo values(4,'John',23); Query OK, 1 row affected (0.24 sec) mysql> insert into MultipleCountDemo values(5,'David',22); Query OK, 1 row affected (0.12 sec) mysql> insert into MultipleCountDemo values(6,'Adam',22); Query OK, 1 row affected (0.21 sec) mysql> insert into MultipleCountDemo values(7,'Johnson',23); Query OK, 1 row affected (0.14 sec) mysql> insert into MultipleCountDemo values(8,'Elizabeth',23); Query OK, 1 row affected (0.25 sec)
Display all records from the table using select statement. The query is as follows -
mysql> select *from MultipleCountDemo;
The following is the output.
+------+-----------+------+ | Id | Name | Age | +------+-----------+------+ | 1 | Carol | 21 | | 2 | Sam | 21 | | 3 | Bob | 22 | | 4 | John | 23 | | 5 | David | 22 | | 6 | Adam | 22 | | 7 | Johnson | 23 | | 8 | Elizabeth | 23 | +------+-----------+------+ 8 rows in set (0.00 sec)
Now here is the query for multiple count() for multiple conditions in a single query.
mysql> select Age,count(*)as AllSingleCount from MultipleCountDemo group by Age;
The following is the output.
+------+----------------+ | Age | AllSingleCount | +------+----------------+ | 21 | 2 | | 22 | 3 | | 23 | 3 | +------+----------------+ 3 rows in set (0.00 sec)
Updated on: 30-Jul-2019
8K+ Views
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