Table Name: L
I'm currently working with a dataset that aims to offer insights on customer support cases. In the example above, you can see the progression of case 123376 from reopened to answered.
When I use the partition function ROW_NUMBER() OVER (PARTITION BY L.CaseNumber, L.[Status], L.NextDate ORDER BY L.[Date] ASC)
then I get the Row_Number
as above. However, once the case status is answered and the next date is NULL
, then I want to delete the rows for that case that come after, meaning I only want to keep the first row for Next Date NULL
(in a single case number) and delete the others. Is there a way to have row numbers over partition so that the result looks like this or any other approach?
I am wondering if the following expression might do what you want - at least, I think that it should work for your sample data:
DENSE_RANK() OVER (
PARTITION BY L.CaseNumber, L.[Status], L.NextDate
ORDER BY COALESCE(l.NexDate, L.[Date])
)