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MySQL query for grouping and summing the values based on specific records
Use GROUP BY to group records, whereas SUM() function is used to add. Let us first create a table −
mysql> create table DemoTable ( Name varchar(40), Subject varchar(40), Marks int ); Query OK, 0 rows affected (2.89 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable values('Chris','MySQL',76);
Query OK, 1 row affected (0.32 sec)
mysql> insert into DemoTable values('Sam','MongoDB',86);
Query OK, 1 row affected (0.39 sec)
mysql> insert into DemoTable values('Mike','MySQL',98);
Query OK, 1 row affected (0.46 sec)
mysql> insert into DemoTable values('David','Java',93);
Query OK, 1 row affected (0.32 sec)
mysql> insert into DemoTable values('Bob','MySQL',57);
Query OK, 1 row affected (0.17 sec)
mysql> insert into DemoTable values('John','MongoDB',77);
Query OK, 1 row affected (0.17 sec)
Display all records from the table using select statement −
mysql> select *from DemoTable;
This will produce the following output −
+-------+---------+-------+ | Name | Subject | Marks | +-------+---------+-------+ | Chris | MySQL | 76 | | Sam | MongoDB | 86 | | Mike | MySQL | 98 | | David | Java | 93 | | Bob | MySQL | 57 | | John | MongoDB | 77 | +-------+---------+-------+ 6 rows in set (0.00 sec)
Following is the query to group and sum the values on the basis of SUBJECT −
mysql> select Subject,SUM(Marks) from DemoTable group by Subject;
This will produce the following output −
+---------+------------+ | Subject | SUM(Marks) | +---------+------------+ | MySQL | 231 | | MongoDB | 163 | | Java | 93 | +---------+------------+ 3 rows in set (0.00 sec)
Updated on: 2019-10-04T08:42:26+05:30
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