I have the following table columns (with sample data)
[Member_ID] - [GM1] - [GM2] ... [GM12] - [CATEGORY]
165 - 30 - 50 ... 40 - Products
165 - 70 - 60 ... 70 - Service
189 - 50 - 60 ... 50 - Products
189 - 40 - 30 ... 40 - Service
Each GM column is for each month.
At the end I would like to have something like this
[MemberID] - [GMP] - [GMS] - [MonthNumbr]
165 - 30 - 70 - 1
165 - 50 - 60 - 2
189 - 50 - 40 - 1
...
165 - 40 - 70 - 12
189 - 50 - 40 - 12
Where GMP is the GM for that month for Category Product and GMS is the GM for that month for Service
I tried unpivot and cross apply, but I think it is way over my experience and keep getting stuck.
thanks in advance!
I like to use outer apply
for this purpose . . . then aggregation helps:
select v.member_id, v.monthnumber,
max(case when category = 'products' then gm end) as gmp,
max(case when category = 'service' then gm end) as gms
from t outer apply
(values (t.member_id, 1, t.gm1, t.category),
(t.member_id, 2, t.gm2, t.category),
. . .
) v(member_id, monthnumber, gm, category)
group by v.member_id, v.monthnumber;
EDIT:
It might be more efficient to do the aggregation in the subquery:
select v.*
from t outer apply
(select v.member_id, v.monthnumber,
max(case when category = 'products' then gm end) as gmp,
max(case when category = 'service' then gm end) as gms
from (values (t.member_id, 1, t.gm1, t.category),
(t.member_id, 2, t.gm2, t.category),
. . .
) v(member_id, monthnumber, gm, category)
) v;
(Because of the nature of the aggregation algorithms, a bunch of small aggregations should be more efficient than one large one.)