Conditonal SUM Function, Or Similar Conditional Aggregates

Jul 23, 2005

Are there any conditional aggregate functions, such as SUM()?

An example would probably be the best way to describe what I'm
trying to do...

I have the following table, named Orders, with the following records:

ItemNo qty_ord paid
------ ----------- ------
T101B 1 199.00
T101B 1 199.00
T101B 1 199.00
T101B 1 199.00
T101B 1 199.00
T101B 1 199.00
T101B 1 199.00
T101B 1 0.00
T101B 1 0.00
T101B 1 0.00
T101B 1 0.00
Z200L 1 50.00
Z200L 2 100.00


I want to produce the following result set:

ItemNo qty_gross qty_net
------ ---------- -------
T101B 11 7
Z200L 3 3


The "qty_gross" column in the result set is the sum of
total items ordered within the ItemNo grouping.
Easy enough. However, I also want a column "qty_net" that
is the sum of qty_ord but ONLY IF the amount in the
"paid" column is > 0.

I tried using the HAVING clause, but that produces a
catch 22 situation. If I say "HAVING paid > 0" then
the qty_gross column is wrong because it leaves out rows
that contain records with paid = 0 values. If I leave
out the HAVING clause, then the "qty_net" is wrong.

Any ideas?


select ItemNo, Sum(qty_ord) as qty_gross, Sum(qty_ord) as qty_net
from Orders
group by qty_ord, paid, ItemNo
having paid > 0 ?????


Thanks,
Robbie

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Hi everyone,



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I have data that looks like this

create table #TestData
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proc_cde varchar(10))
insert #TestData (clt_num,proc_cde)
select 1000, 'H0017' union all
select 2000, 'T1016' union all
select 2000, 'H0036' union all
select 2000, 'T0017' union all
select 3000, '99999' union all
select 3000, 'AAAAA' union all
select 3000, 'H0039'
select 4000, '99999' union all
select 5000, 'H0017' union all
select 5000, 'H0066' union all
select 100, 'H0036;TT' union all
select 200, 'T1016;XX' union all
select 200, 'H0036' union all
select 300, '99999;HH' union all
select 300, 'AAAAA' union all
select 400, '99999' union all
select 500, 'H0017;15' union all
select 500, 'H0036;XX'

I want to select records for a given clt_num based on weights (precedence) given to the different proc_cde(s). The rules for selecting the rows are:

If clt_num only has one row select that row

Select row that has the highest proc_cde by precedence for given clt_num

If clt_num has two or more rows but no proc_cde with an assigned precedence select both rows.
Note that there is a twist with the proc_cds in that they can have garbage at the end in the data records and I don't care about the garbage H0036, H1036;XX will have the same weight.

Therefore my expected results are:

clt_numproc_cde
100H0036;TT
200T1016;XX
30099999;HH
300AAAAA
40099999
500H0036;XX
1000H0017
2000T0017
300099999
3000AAAAA
400099999
5000H0039

In attempting to solve this problem I created a temp table called ProcCde_Weights:

create table #ProcCde_Weights
(proc_cde varchar(10),
weight int)
insert #ProcCde_Weights
(proc_cde,weight)
select 'H0039', 10 union all
select 'T1017', 20 union all
select 'T1016', 30 union all
select 'H0036', 40 union all
select 'T2011', 50 union all
select '90806', 60 union all
select '90862', 70 union all
select 'T1002', 80 union all
select 'H2031', 90 union all
select 'H2023', 100

And wrote this query:

select t.clt_num,
t.proc_cde,
case when p.weight is null then 1000
else p.weight
end as weight
from #TestData t left join #ProcCde_Weights p on t.clt_num = t.clt_num
and p.proc_cde = left(t.proc_cde,5)

which gives me this:

clt_numproc_cdeweight
1000H00171000
2000T101630
2000H003640
2000T00171000
3000999991000
3000AAAAA1000
4000999991000
5000H00171000
5000H00661000
100H0017;TT1000
200T101630
200H003640
30099999;HH1000
300AAAAA1000
400999991000
500H0017;151000
500H0036;XX40

… but now I need to modify the query with using the min function or max function (I think) to only select rows according to the rules I gave.

… and once again I seem to have a mental block when it comes to composing queries with aggregate functions.

Thanks in advance for any help.

Laurie

p.s. can anybody point me to any books or tutorials that can help me wrap my mind around aggregate functions.

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Hi,

I have the following test data:

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Insert into #TestData
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Select 16, 90 union all
Select 16, 999999 union all
Select 16, 389 union all
Select 18, 1 union all
Select 18, 90 union all
Select 18, 999999 union all
Select 24, 999999 union all
Select 24, 1 union all
Select 31, 1 union all
Select 31, 999999 union all
Select 31, 90 union all
Select 31, 389 union all
Select 35, 999999 union all
Select 35, 389 union all
Select 283, 1 union all
Select 283, 90 union all
Select 283, 999999 union all
Select 283, 310 union all
Select 500, 1 union all
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… which I then combine the ins_num into insurance types:

select clt_num,
case
when ins_num = 1 then 'Caid'
when ins_num = 90 then 'Care'
when ins_num in (189,195,310) then 'HMO'
when ins_num between 381 and 389 then 'TPO'
when ins_num = 999999 then 'TPO'
end as InsuranceType
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clt_numInsuranceType
16Caid
16Care
16TPO
16TPO
18Caid
18Care
18TPO
24TPO
24Caid
31Caid
31TPO
31Care
31TPO
35TPO
35TPO
100Care
283Caid
283Care
283TPO
283HMO
500Caid

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clt_numInsuranceType
16Dual
18Dual
24Dual
31Dual
35TPO or Dual (?*)
100Care
283Dual
500Caid


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I know I need to do something with count and stuff, but for some reason I have a mental block when it comes to agregate functions.

Thanks in advance for any help finishing up the query.

Laurie

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Oct 12, 2006

Hi all!

I have created (in CLR) a user defined aggregate. The scan order of this aggregate is important, because it return different results for different orders.

When i use it with a single group (using order by and where) is working fine.

For example

select id, dbo.cmp(myclolumn) as myres from (select top 100 percent * from mytable order by id,clmdate) where id=10 group by id

This works correctly. Now lets expand it by removing where id=10 clause

select id, dbo.cmp(myclolumn) as myres from (select top 100 percent * from mytable order by id,clmdate) group by id

I get slightly different results from what the right result must be.

Any idea?

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