Reputation: 2847
I have a table structured as such:
Pricing_Group
GroupID | QTY
TestGroup1 | 1
TestGroup1 | 2
TestGroup1 | 4
TestGroup1 | 8
TestGroup1 | 22
TestGroup2 | 2
TestGroup3 | 2
TestGroup3 | 5
What I'm looking for is a result like this:
Pricing_Group
GroupID | QTY1 | QTY2 | QTY3 | QTY4 | QTY5
TestGroup1 | 1 | 2 | 4 | 8 | 22
TestGroup2 | 2 | NULL | NULL | NULL | NULL
TestGroup3 | 2 | 5 | NULL | NULL | NULL
Note that there can only ever be a maximum of 5 different quantities for a given GroupID, there's just no knowing what those 5 quantities will be.
This seems like an application of PIVOT, but I can't quite wrap my head around the syntax that would be required for an application like this.
Thanks for taking the time to look into this!
Upvotes: 3
Views: 175
Reputation: 476
Perfect case for pivot and you don't need a CTE:
Declare @T Table (GroupID varchar(10) not null,
QTY int)
Insert Into @T
Values ('TestGroup1', 1),
('TestGroup1', 2),
('TestGroup1', 4),
('TestGroup1', 8),
('TestGroup1', 22),
('TestGroup2', 2),
('TestGroup3', 2),
('TestGroup3', 5)
Select GroupID, [QTY1], [QTY2], [QTY3], [QTY4], [QTY5]
From (Select GroupID, QTY,
RowID = 'QTY' + Cast(ROW_NUMBER() Over (Partition By GroupID Order By QTY) as varchar)
from @T) As Pvt
Pivot (Min(QTY)
For RowID In ([QTY1], [QTY2], [QTY3], [QTY4], [QTY5])
) As Pvt2
Upvotes: 4
Reputation: 9292
You can also use case statement to perform the pivot:
declare @t table ( GroupID varchar(25), QTY int)
insert into @t
values ('TestGroup1', 1),
('TestGroup1', 2),
('TestGroup1', 4),
('TestGroup1', 8),
('TestGroup1', 22),
('TestGroup2', 2),
('TestGroup3', 2),
('TestGroup3', 5)
;with cte_Stage (r, GroupId, QTY)
as ( select row_number() over(partition by GroupId order by QTY ),
GroupId,
QTY
from @t
)
select GroupId,
[QTY1] = sum(case when r = 1 then QTY else null end),
[QTY2] = sum(case when r = 2 then QTY else null end),
[QTY3] = sum(case when r = 3 then QTY else null end),
[QTY4] = sum(case when r = 4 then QTY else null end),
[QTY5] = sum(case when r = 5 then QTY else null end),
[QTYX] = sum(case when r > 5 then QTY else null end)
from cte_Stage
group
by GroupId;
Upvotes: 1
Reputation: 175826
You can pivot on a generated rank;
;with T as (
select
rank() over (partition by GroupID order by GroupID, QTY) as rank,
GroupID,
QTY
from
THE_TABLE
)
select
*
from
T
pivot (
max(QTY)
for rank IN ([1],[2],[3],[4],[5])
) pvt
>>
GroupID 1 2 3 4 5
----------------------------------------
TestGroup1 1 2 4 8 22
TestGroup2 2 NULL NULL NULL NULL
TestGroup3 2 5 NULL NULL NULL
Upvotes: 3