So basically I have some simple SQL code that looks like the following;
SELECT
[Column1]
,[Column2]
,[Column3]
,[Column4]
,MIN([Column5]) AS maxColumn5
,MAX([Column6]) AS minColumn6
,SUM([Column7]) AS sumColumn7
,SUM([Column8]) AS sumColumn8
,SUM([Column9]) AS sumColumn9
FROM
[tableName]
GROUP BY
[Column1]
,[Column2]
,[Column3]
,[Column4]
What I am trying to do is also find the column either 'Column1', 'Column2', or 'Column3' that corresponds to the MIN([Column6]) and then the column that corresponds to MAX([Column8]).
The output should be exactly the same except there will be an extra 2 column at the end specifying which one the min and max are associated with.
I think there is a simple problem in your question, as Col1,Col2,Col3 that correspond to the max or min, are displayed directly, in other words you have them as you are grouping by Col1,Col2,Col3 & Col4. As you did not provide some data, I will set some random data to prove my point. Lets create a memory table similar to yours with 9 columns and fill it with random data for col6-8 with 10 rows for example, you can use the below:-
Declare @data Table(
Column1 int,Column2 int,Column3 int,Column4 int,Column5 int,Column6 int,Column7 int,Column8 int,Column9 int
)
declare @index int=5
while(@index>0)
begin
insert into @data values(1,2,3,4,RAND()*1000,RAND()*1000,RAND()*1000,RAND()*1000,RAND()*1000)
insert into @data values(5,6,7,8,RAND()*1000,RAND()*1000,RAND()*1000,RAND()*1000,RAND()*1000)
set @index=@index-1
end
we can see the data with the below
select * from @data order BY [Column1],[Column2],[Column3],[Column4]
Column1 Column2 Column3 Column4 Column5 Column6 Column7 Column8 Column9
1 2 3 4 669 203 278 364 577
1 2 3 4 389 316 290 548 661
1 2 3 4 835 555 942 985 604
1 2 3 4 477 743 580 305 414
1 2 3 4 431 296 471 150 352
1 2 3 4 346 220 573 941 633
1 2 3 4 392 450 652 978 883
1 2 3 4 235 479 751 136 978
1 2 3 4 906 183 141 915 783
1 2 3 4 329 342 682 977 870
5 6 7 8 218 740 41 299 816
5 6 7 8 800 630 674 888 799
5 6 7 8 27 307 446 743 345
5 6 7 8 501 928 824 592 691
5 6 7 8 439 624 260 757 547
5 6 7 8 287 610 287 708 652
5 6 7 8 441 711 433 642 343
5 6 7 8 751 928 237 53 535
5 6 7 8 594 768 708 173 33
5 6 7 8 352 703 943 867 661
now lets see the result of your grouping that you provided without any change
Col1 Col2 Col3 Col4 minCol5 maxCol6 maxCol8 sumCol7 sumCol8 sumCol9
1 2 3 4 235 743 985 5360 6299 6755
5 6 7 8 27 928 888 4853 5722 5422
so if we go back to your question, what is the value of Col1,Col2,Col3 for the maxCol6, well for each maxCol6 you have the values of Col1,Col2,Col3 & even Col4. so what are the values for Col1,Col2,Col3 for maxCol16 that is 928, well they are 5,6 & 7.
ok, now lets say you want the record key that have that maxCol6, that is easy too, we would add an identity col as ID as below:-
Declare @data Table(
ID int identity(1,1), Column1 int,Column2 int,Column3 int,Column4 int,Column5 int,Column6 int,Column7 int,Column8 int,Column9 int
)
declare @index int=10
while(@index>0)
begin
insert into @data values(1,2,3,4,RAND()*1000,RAND()*1000,RAND()*1000,RAND()*1000,RAND()*1000)
insert into @data values(5,6,7,8,RAND()*1000,RAND()*1000,RAND()*1000,RAND()*1000,RAND()*1000)
set @index=@index-1
end
select * from @data order BY [Column1],[Column2],[Column3],[Column4]
;with agg as (
SELECT
[Column1]
,[Column2]
,[Column3]
,[Column4]
,MIN([Column5]) AS minColumn5
,MAX([Column6]) AS maxColumn6
,MAX([Column8]) AS maxColumn8
,SUM([Column7]) AS sumColumn7
,SUM([Column8]) AS sumColumn8
,SUM([Column9]) AS sumColumn9
FROM
@data [tableName]
GROUP BY
[Column1]
,[Column2]
,[Column3]
,[Column4]
)
--select * from agg order BY [Column1],[Column2],[Column3],[Column4]
select agg.*,maxCol6.ID [MaxCol6Seq],maxCol8.ID [MaxCol8Seq] from agg
inner join @data maxCol6
on agg.Column1=maxCol6.Column1
and agg.Column2=maxCol6.Column2
and agg.Column3=maxCol6.Column3
and agg.Column4=maxCol6.Column4
and agg.maxColumn6=maxCol6.Column6
inner join @data maxCol8
on agg.Column1=maxCol8.Column1
and agg.Column2=maxCol8.Column2
and agg.Column3=maxCol8.Column3
and agg.Column4=maxCol8.Column4
and agg.maxColumn8=maxCol8.Column8
As this is a new run for this set of data , below:-
ID Column1 Column2 Column3 Column4 Column5 Column6 Column7 Column8 Column9
1 1 2 3 4 201 848 993 50 304
3 1 2 3 4 497 207 644 399 104
5 1 2 3 4 445 321 822 151 185
7 1 2 3 4 611 402 620 61 543
9 1 2 3 4 460 409 182 915 211
11 1 2 3 4 886 804 180 213 282
13 1 2 3 4 614 709 932 806 162
15 1 2 3 4 795 752 110 474 463
17 1 2 3 4 737 545 77 648 727
19 1 2 3 4 788 862 266 464 851
20 5 6 7 8 218 561 943 572 54
18 5 6 7 8 741 621 610 214 536
16 5 6 7 8 579 248 374 693 761
14 5 6 7 8 866 415 198 528 657
12 5 6 7 8 905 947 500 50 387
10 5 6 7 8 492 860 948 299 220
8 5 6 7 8 861 328 727 40 327
6 5 6 7 8 435 534 707 769 777
4 5 6 7 8 587 68 45 184 614
2 5 6 7 8 189 24 289 121 772
The result is as below:-
C1 C2 C3 C4 minC5 maxC6 maxC8 sumC7 sumC8 sumC9 MaxCol6Seq MaxCol8Seq
1 2 3 4 201 862 915 4826 4181 3832 19 9
5 6 7 8 189 947 769 5341 3470 5105 12 6
Hope this helps.
If you just want a flag on each row specifying whether the value is the overall maximum or minimum, you can use window functions and CASE
:
SELECT [Column1], [Column2], [Column3], [Column4],
MAX([Column5]) AS maxColumn5,
MIN([Column6]) AS minColumn6,
SUM([Column7]) AS sumColumn7,
SUM([Column8]) AS sumColumn8,
SUM([Column9]) AS sumColumn9,
(CASE WHEN MIN([Column6]) = MIN(MIN([Column6])) OVER () THEN 1 ELSE 0 END) as is_min_column6,
(CASE WHEN MAX([Column7]) = MAX(MAX([Column7])) OVER () THEN 1 ELSE 0 END) as is_max_column7
FROM [tableName]
GROUP BY [Column1], [Column2], [Column3], [Column4]
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