I have a data set that has the following columns: user_id, A_view_dt, A_conversion_dt B_view_dt.
I wanted to check If A_conversion_dt IS NOT NULL, then see if there's another record in B_view_dt that belongs to the same user_id happened 14d prior to A_conversion_dt, if so return the B_view_dt value. Otherwise return NULL under B_view_dt.
IF A_conversion_dt IS NULL, then I'd like to compare A_view_dt and B_view_dt. If a B_view_dt record exists and happens 14d before then keep the most recent max(B_view_dt).
IF B_view_dt IS NULL then I'd like B_view_dt to return NULL.
I have attached a dummy dataset & desired output. I've been trying using UNION ALL and LEFT JOINs but there's always records being missing from the WHERE clause. Anybody has a better solve? Does using partition in this case help?
Thank you!!!
Result from query
CodePudding user response:
select user_id,
min(A_view_dt) as A_view_dt, min(A_conversion_dt) as A_conversion_dt,
max(case when
datediff(day, B_view_dt, coalesce(A_conversion_dt, A_view_dt)) between 0 and 14
then B_view_dt end) as B_view_dt
from T
group by user_id
It appears safe to make the assumption that all rows (per user) have the same values in the first two date columns so I am running with that in this query.
https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=764c2857cc69190fca3fbd08de3e544c
Or perhaps you want all the date combinations to appear separately?:
select user_id, A_view_dt, A_conversion_dt,
max(case when
datediff(day, B_view_dt, coalesce(A_conversion_dt, A_view_dt)) between 0 and 14
then B_view_dt end) as B_view_dt
from T
group by user_id, A_view_dt, A_conversion_dt