Extracting data from MS SQL Server-2008 referring multiple tables - sql-server

Question

I have had asked a similar question here and have got help from jpw who helped me with the query. The situation here remains same but only a bit more detail added. I have four tables. Sample structure for three of them is given below:
I have been helped to form query which goes as below:
select
d.LOTQty,
ApprovedQty = count(d.SerialNo),
d.DispatchDate,
Installed = count(a.SerialNo) + count(r.SerialNo)
from
Despatch d
left join
Activation a
on d.SerialNo= a.SerialNo
and d.DispatchDate <= a.ActivationDate
and d.LOTQty = a.LOTQty
left join
Replaced r
on d.SerialNo= r.SerialNo
and d.DispatchDate <= r.ActivationDate
and (a.ActivationDate is null or a.ActivationDate < d.DispatchDate)
where
d.LOTQty = 15
group by
d.LOTQty, d.DispatchDate, d.STBModel
For understanding sake, above query match Despatch table's SerialNo with Activation table. If match found it checks for Date difference. If DespatchDate < ActivationDate only those numbers are considered while others(which didn't match or whose DispatchDate > ActivationDate) are matched with Replaced with similar date criteria. So at the end we find 9 matches i.e 7 from Activation and 2 from Replaced as below:
LotQty | ApprovedQty | DispatchDate | Installed
15 | 10 | 2013-8-7 | 9
I want to display two more columns in here i.e DOA and Bounce like this:
LotQty | ApprovedQty | DispatchDate | Installed | DOA | Bounce
15 | 10 | 2013-8-7 | 9 | 2 | 4
DOA and Bounce should be calculated with difference between 4th table i.e Failed table's FailedDate and the above 9 matched SerialNo's respective Activation/Record date(henceforth termed as act_rec_date). Failed table and Intermediate 9 matched SerialNo's structure is shown below:
Intermediate table doesn't physically exist. It is just for reference and to provide more clarity. Intermediate table contain those SerialNo, which were matched with Activation and Replaced table. The act_rec_Date field is correspondingly matched Activation/Record Date.
DOA & Bounce = We should match all the 9 resultant SerialNo's(i.e Intermediate table) with Failed table. If matched, calculate difference between FailedDate and act_rec_date. If difference is (0 to <=10 days) then count it under DOA and if difference is (>10 days to <=180 days) then count it under Bounce. From Failed we find 6 matches out of which Product1,2 falls in DOA as difference between act_rec_Date is 0 and Product7,8,9 & 10 falls under Bounce as their difference is 89 | 54 | 61 | 61. So as shown above DOA = 2 and Bounce = 4
I want to build a query which could give me DOA and Bounce as well. I tried creating a temp table and dumping the resultant SerialNo's and act_rec_Date into it. Next I tried to match temp table and Failed table. I couldn't get it working and further more it took around 7 minutes to even execute the query.
P.S- My Actual tables contain around 50k to 100k data entries.

Answer 1

Continuing on the previous query I think the new columns could be added with a conditional aggregation in the select statement and another left join for the failed table.
This should work, but I'm sure the query can be improved:
select
d.LOTQty,
ApprovedQty = count(d.SerialNo),
d.DispatchDate,
Installed = count(a.SerialNo) + count(r.NewSerialNo),
DOA = sum(case when datediff(day, coalesce(a.ActivationDate,r.RecordDate), f.FailedDate) <= 10 then 1 else 0 end),
Bounce = sum(case when datediff(day, coalesce(a.ActivationDate,r.RecordDate), f.FailedDate) between 11 and 180 then 1 else 0 end)
from
Despatch d
left join
Activation a
on d.SerialNo= a.SerialNo
and d.DispatchDate <= a.ActivationDate
and d.LOTQty = a.LOTQty
left join
Replaced r
on d.SerialNo= r.NewSerialNo
and d.DispatchDate <= r.RecordDate
and (a.ActivationDate is null or a.ActivationDate < d.DispatchDate)
left join
Failed f
on (f.FailedSINo = a.SerialNo)
or (f.FailedSINo = r.NewSerialNo)
where
d.LOTQty = 15
group by
d.LOTQty, d.DispatchDate
Sample SQL Fiddle with test data