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I have this table as a result from another query
STATUS R1 R2 R3 R4 R5 R6 R7 R8 R9
----------------------------------------------------
ACCEPTED 322 241 278 473 575 595 567 449 605
ADECUACIONES 0 0 0 0 2 0 1 0 50
AET 0 0 2 0 0 0 0 0 11
EXECUTED 0 80 1 18 9 57 34 30 20
IN PROCESS 0 0 0 0 0 4 25 2 112
FREQ 0 55 2 76 25 117 7 73 48
INSTALL 1 4 1 10 5 14 2 13 62
WO INSTALL 9 2 51 24 143 17 15 59 16
WOT VL 0 1 0 0 1 0 0 0 0
OTHER 22 7 20 28 44 30 6 6 109
PROG 1 0 1 0 0 2 3 0 0
PTE PROG 0 5 0 0 0 0 3 19 93
TMX 0 0 0 28 4 8 11 3 14
PROJ 0 1 12 26 13 8 0 2 4
What I expect to have is this
STATUS R1 R2 R3 R4 R5 R6 R7 R8 R9 TOTAL
----------------------------------------------------------
ACCEPTED 322 241 278 473 575 595 567 449 605 4105
ADECUACIONES 0 0 0 0 2 0 1 0 50 53
AET 0 0 2 0 0 0 0 0 11 13
EXECUTED 0 80 1 18 9 57 34 30 20 249
IN PROCESS 0 0 0 0 0 4 25 2 112 143
FREQ 0 55 2 76 25 117 7 73 48 403
INSTALL 1 4 1 10 5 14 2 13 62 112
WO INSTALL 9 2 51 24 143 17 15 59 16 336
WOT VL 0 1 0 0 1 0 0 0 0 2
OTHER 22 7 20 28 44 30 6 6 109 272
PROG 1 0 1 0 0 2 3 0 0 7
PTE PROG 0 5 0 0 0 0 3 19 93 120
TMX 0 0 0 28 4 8 11 3 14 68
PROJ 0 1 12 26 13 8 0 2 4 66
TOTAL 355 396 368 683 821 852 674 656 1144 5949
I've been playing with grouping() and rollup(), but I always get duplicated rows and unwanted null values.
444
Unfortunately, you cannot calculate totals without calculation of totals. Either group by or calculate it on the app side. or via window functions. We can also use recursion to iterate over a list to provide a SUM-like behavior.
ROLLUP and CUBE are simple extensions to the SELECT statement's GROUP BY clause. ROLLUP creates subtotals at any level of aggregation needed, from the most detailed up to a grand total. CUBE is an extension similar to ROLLUP , enabling a single statement to calculate all possible combinations of subtotals.
ROLLUP enables a SELECT statement to calculate multiple levels of subtotals across a specified group of dimensions. It also calculates a grand total. ROLLUP is a simple extension to the GROUP BY clause, so its syntax is extremely easy to use. The ROLLUP extension is highly efficient, adding minimal overhead to a query.
If you have problems, grouping_id function will help you.
(You can select grouping_id(col), but also grouping_id(col1, col2, col3, etc..))
But your case is simpler.
It is like:
drop table fg_test_group;
create table fg_test_group (a number, b number, c number, d number);
insert into fg_test_group values (1, 2, 3, 4);
insert into fg_test_group values (2, 2, 3, 4);
insert into fg_test_group values (3, 2, 3, 4);
select nvl(to_char(a), 'total') as a , sum(b), sum(c), sum(d), grouping_id(a)
from fg_test_group
group by rollup (a)
;
where a is Status in your case.
190
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