Using a SQL Query Group by is needed

Hi All,
Scenario Below:
we have 2 Transactions, 5 Lines and each line is having 2 Taxes correspondingly. We have few more formula columns which are calculating based on requirements.
We need to Group the amount at Line level for the one specific TAX.
say: L1 1, L2 2, L3 3, L4 4, L5 5. for one tax having L1, L2 and L3 which needs to be sum up 6
and for other tax needs to sum up to 9.
But, we need to display all the Lines.
Regards,
Reddy.

Hi, Reddy,
Use the analytic SUM function instead of the aggregate function if you don't want to get only one line of output per group.
Since I don't have a copy of your table, I'll use the scott.emp table to illustrate.
The following query gets some information about individual employees, along with the total salary of all the employees with the same job:
SELECT       job
,       ename
,       sal
,       SUM (sal) OVER (PARTITION BY job)     AS total_sal
FROM       scott.emp
ORDER BY job
;Output:
JOB       ENAME             SAL TOTAL_SAL
ANALYST   SCOTT            3000       6000
ANALYST   FORD             3000       6000
CLERK     MILLER           1300       4150
CLERK     JAMES             950       4150
CLERK     SMITH             800       4150
CLERK     ADAMS            1100       4150
MANAGER   BLAKE            2850       8275
MANAGER   JONES            2975       8275
MANAGER   CLARK            2450       8275
PRESIDENT KING             5000       5000
SALESMAN TURNER           1500       5600
SALESMAN MARTIN           1250       5600
SALESMAN WARD             1250       5600
SALESMAN ALLEN            1600       5600Almost all of the aggregate functions (including SUM, AVG, COUNT, MIN, even user-defined aggregate functions like STRAGG) have analytic counterparts. The keyword OVER after the argument list marks the function as analytic.
The analytic PARTITION BY clause corresponds to the aggregate GROUP BY.
I hope this answers your question.
If not, post a little sample data (CREATE TABLE and INSERT statements) and the results you want from that data.
It never hurts to say what version of Oracle you're using.

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