Here is my situation:
I have one table that contains a list of drugs sold containing the NDC (an identifier), quantity sold, and whether the drug is a brand name or
You can use a combination of Analytics (if you are on a recent enough version of Oracle) and a Pivot Table to do it. This should work with your dataset.
select ndc,
max(decode(rn, 1, rx_num, null)) rx1,
max(decode(rn, 2, rx_num, null)) rx2,
max(decode(rn, 3, rx_num, null)) rx3,
max(decode(rn, 4, rx_num, null)) rx4
from (select *
from (select claims_list.ndc,
claims_list.rx_num,
row_number() over (partition by claims_list.ndc order by claims_list.date desc) rn
from claims_list,
(select *
from (select *
from drug_list
where type = 'Generic'
order by qty desc
)
where rownum < 51
) drug_list
where drug_list.ndc = claims_list.ndc
)
where rn < 5
order by ndc, rn
)
group by ndc;
The inner query uses analytics to pull the most recent 4 rx numbers for each drug based on the claim date. Then we use a pivot to take it from 4 lines per drug to one line with 4 columns.