SQL Aggregate Functions Group By
SQL Aggregate Functions Group By return the aggregate functions (like SUM) of the different numeric field for each individual group of column values.
Understand with Example
The Tutorial grasp you with the use of 'SQL Aggregate Functions Group By'. In this example, we create a table 'Stu_Table'. The create table statement create a table 'Stu_Table'
Create Table Stu_Table
create table Stu_Table(Stu_Id varchar(2), Stu_Name varchar(15), Stu_Class varchar(10),sub1 integer(2),sub2 integer(2), sub3 integer(2),sub4 integer(2),sub5 integer(2)); |
Insert Value Into Stu_Table
The insert into statement add the records or rows to the table.
insert into Stu_Table values(1, 'Komal', 10, 23, 34, 45, 56, 67); insert into Stu_Table values(2, 'Ajay', 10, 34, 45, 56, 67, 78); insert into Stu_Table values(3, 'Rakesh', 10, 23, 43, 45, 45, 34); insert into Stu_Table values(4, 'Bhanu', 10, 56, 45, 67, 34, 54); insert into Stu_Table values(5, 'Santosh', 10, 56, 67, 56, 67, 56); insert into Stu_Table values(6, 'Tanuj', 10, 56, 45, 56, 56, 45); |
Stu_Table
+--------+----------+-----------+------+------+------+------+------+ | Stu_Id | Stu_Name | Stu_Class | sub1 | sub2 | sub3 | sub4 | sub5 | +--------+----------+-----------+------+------+------+------+------+ | 1 | Komal | 10 | 23 | 34 | 45 | 56 | 67 | | 2 | Ajay | 10 | 34 | 45 | 56 | 67 | 78 | | 3 | Rakesh | 10 | 23 | 43 | 45 | 45 | 34 | | 4 | Bhanu | 10 | 56 | 45 | 67 | 34 | 54 | | 5 | Santosh | 10 | 56 | 67 | 56 | 67 | 56 | | 6 | Tanuj | 10 | 56 | 45 | 56 | 56 | 45 | +--------+----------+-----------+------+------+------+------+------+ |
Query
The given below Query returns you the records enlisted in select statement and sum of different numeric field for each individual group of column values in the table 'Stu_Table'.
select stu_id, stu_name, sub1, sub2, sub3, sub4, sub5, sum( sub1 + sub2 + sub3 + sub4 + sub5) as total from stu_table group by stu_id; |
Result
+--------+----------+------+------+------+------+------+-------+ | stu_id | stu_name | sub1 | sub2 | sub3 | sub4 | sub5 | total | +--------+----------+------+------+------+------+------+-------+ | 1 | Komal | 23 | 34 | 45 | 56 | 67 | 225 | | 2 | Ajay | 34 | 45 | 56 | 67 | 78 | 280 | | 3 | Rakesh | 23 | 43 | 45 | 45 | 34 | 190 | | 4 | Bhanu | 56 | 45 | 67 | 34 | 54 | 256 | | 5 | Santosh | 56 | 67 | 56 | 67 | 56 | 302 | | 6 | Tanuj | 56 | 45 | 56 | 56 | 45 | 258 | +--------+----------+------+------+------+------+------+-------+ |