Performance issue with SQL Query - sql

Question

I am pulling data from two tables-Forecast and Orders to compute sales forecast accuracy.
Steps I am taking:
Identifying all exhaustive combinations of product-region-demand month b/w both data sets...let's call this (1)
Identifying different forecast snapshots in forecast data... let's call this (2)
Performing a cross-join of (1) and (2)...let's call this (3)
Performing the "SUMIF()" equivalent on the lines from (3) for both orders and forecast. For example, if I am comparing forecast to actual orders for February,
Jan "INDPOR" Forecast---> For some Product/Region-Feb Delivery Combination: February Forecast (generated in January) vs. Orders booked after Jan 1st with a delivery schedule in Feb
Feb "INDPOR" Forecast---> For the same Product/Region-Feb Delivery Date Combination: February Forecast (generated in February) vs. Orders booked after Jan 27th* with a delivery schedule in Feb
Note 1: Generating multiple forecasts for the same month
Note 2: Fiscal calendar definitions used; that is why Feb starts on Jan 27th
Output is generating correctly. But, it is painfully slow (1 hour +). Please help me fine-tune this and make it faster as I will need to use this for larger data sets too.
Other Details:
I am running this on SQL Server 2014 locally from my desktop.Uploading this using the SQL data import wizard into SQL from an Excel file currently
Input Forecast data: ForecastAggTable
Input Orders data: OrderAggTable
Input and Output Files
Code:
Select *
from
(
Select *,
(Select isnull(sum([Forecast Qty]),0) from ForecastAggTable t2 where t2.LOB=D.LOB and
t2.[Demand Month]=D.[Demand Month] and t2.Class=D.Class
and t2.[Item Type]=D.[Item Type] and t2.[LoB Region]=D.[LoB Region] and
t2.[Key Account]=D.[Key Account] and t2.Country=D.Country
and t2.[Master Customer]=D.[Master Customer] and t2.[INDPOR Version]=D.[INDPOR Version])[Forecast Qty],
(
Select isnull(sum([Order Qty]),0) from OrderAggTable t1 where t1.LOB=D.LOB and
t1.[SAD Month]=D.[Demand Month] and t1.Class=D.Class
and t1.[Item Type]=D.[Item Type] and t1.[LoB Region]=D.[LoB Region] and
t1.[Key Account]=D.[Key Account] and t1.Country=D.Country
and t1.[Master Customer]=D.[Master Customer] and t1.[Book Date]>=D.[INDPOR Timestamp]
)[SAD-OrderQty],
(
Select isnull(sum([Order Revenue]),0) from OrderAggTable t1 where t1.LOB=D.LOB and
t1.[SAD Month]=D.[Demand Month] and t1.Class=D.Class
and t1.[Item Type]=D.[Item Type] and t1.[LoB Region]=D.[LoB Region] and
t1.[Key Account]=D.[Key Account] and t1.Country=D.Country
and t1.[Master Customer]=D.[Master Customer] and t1.[Book Date]>=D.[INDPOR Timestamp]
)[SAD-OrderRevenue],
(
Select isnull(sum([Order Qty]),0) from OrderAggTable t1 where t1.LOB=D.LOB and
t1.[RDD Month]=D.[Demand Month] and t1.Class=D.Class
and t1.[Item Type]=D.[Item Type] and t1.[LoB Region]=D.[LoB Region] and
t1.[Key Account]=D.[Key Account] and t1.Country=D.Country
and t1.[Master Customer]=D.[Master Customer] and t1.[Book Date]>=D.[INDPOR Timestamp]
)[RDD-OrderQty],
(
Select isnull(sum([Order Revenue]),0) from OrderAggTable t1 where t1.LOB=D.LOB and
t1.[RDD Month]=D.[Demand Month] and t1.Class=D.Class
and t1.[Item Type]=D.[Item Type] and t1.[LoB Region]=D.[LoB Region] and
t1.[Key Account]=D.[Key Account] and t1.Country=D.Country
and t1.[Master Customer]=D.[Master Customer] and t1.[Book Date]>=D.[INDPOR Timestamp]
)[RDD-OrderRevenue]
from
(
Select distinct LOB,[INDPOR Version],[INDPOR Timestamp],[Demand Month],
[Demand Quarter],[Min Date],Class,[Item Type],[Offer PF],
[LoB Region],[Key Account],Country,[Master Customer]
from
(
Select V.LOB,V.[SAD Month][Demand Month],V.[SAD Quarter][Demand Quarter],V.[SAD Min Date][Min Date],V.Class,
[Item Type],[Offer PF],[LoB Region],[Key Account],Country,[Master Customer]
from OrderAggTable V
union
(
Select Z.LOB,Z.[RDD Month][Demand Month],Z.[RDD Quarter][Demand Quarter],Z.[RDD Min Date][Min Date],Z.Class,
[Item Type],[Offer PF],[LoB Region],[Key Account],Country,[Master Customer]
from OrderAggTable Z
)
union
(
Select LOB,[Demand Month],[Demand Quarter],[Min Date],Class[Class],[Item Type],[Offer PF],[LoB Region],
[Key Account],Country,[Master Customer] from ForecastAggTable
)
)A
cross join
(
select distinct [INDPOR Version],[INDPOR Timestamp]
from ForecastAggTable
)B
)D
where [Min Date]>=[INDPOR Timestamp]
)E
where ([SAD-OrderQty] + [RDD-OrderQty] + [Forecast Qty]<>0)

Answer 1

How about simplifying, and doing less passes of your tables.
In this example I do two scans of the forecast table, one for the distinct, and one for the union, and one scan of the orders table.
with cte as
(
select distinct [INDPOR Version],[INDPOR Timestamp]
from ForecastAggTable
)
,cte2 as
(
Select
V.LOB
,iif(DUP=0,V.[SAD Month] ,V.[RDD Month] ) [Demand Month]
,iif(DUP=0,V.[SAD Quarter] ,V.[RDD Quarter] ) [Demand Quarter]
,iif(DUP=0,V.[SAD Min Date] ,V.[RDD Min Date] ) [Min Date]
,V.[Book Date]
,V.Class
,V.[Item Type]
,V.[Offer PF]
,V.[LoB Region]
,V.[Key Account]
,V.Country
,V.[Master Customer]
,null [INDPOR Version]
,null [Forecast Qty]
,iif(DUP=0,v.[Order Qty] ,null ) [SAD-OrderQty]
,iif(DUP=0,V.[Order Revenue] ,null ) [SAD-OrderRevenue]
,iif(DUP=1,V.[Order Qty] ,null ) [RDD-OrderQty]
,iif(DUP=1,V.[Order Revenue] ,null ) [RDD-OrderRevenue]
from OrderAggTable V
cross join (select dup from (values (0),(1))a(dup)) a
union all
Select
LOB
,[Demand Month]
,[Demand Quarter]
,[Min Date]
,[Min Date]
,Class
,[Item Type]
,[Offer PF]
,[LoB Region]
,[Key Account]
,Country
,[Master Customer]
,[INDPOR Version]
,[Forecast Qty]
,null[SAD-OrderQty]
,null[SAD-OrderRevenue]
,null[RDD-OrderQty]
,null[RDD-OrderRevenue]
from ForecastAggTable
)
select
cte2.LOB
,cte.[INDPOR Version]
,cte.[INDPOR Timestamp]
,cte2.[Demand Month]
,cte2.[Demand Quarter]
,cte2.[Min Date]
,cte2.Class
,cte2.[Item Type]
,cte2.[Offer PF]
,cte2.[LoB Region]
,cte2.[Key Account]
,cte2.Country
,cte2.[Master Customer]
,isnull(sum(cte2.[Forecast Qty] ),0) [Forecast Qty]
,isnull(sum(cte2.[SAD-OrderQty] ),0) [SAD-OrderQty]
,isnull(sum(cte2.[SAD-OrderRevenue]) ,0) [SAD-OrderRevenue]
,isnull(sum(cte2.[RDD-OrderQty] ),0) [RDD-OrderQty]
,isnull(sum(cte2.[RDD-OrderRevenue]) ,0) [RDD-OrderRevenue]
from cte2
inner join cte
on cte2.[Book Date]>=cte.[INDPOR Timestamp]
where isnull(cte2.[INDPOR Version],cte.[INDPOR Version])=cte.[INDPOR Version]
group by
cte2.LOB
,cte2.[Demand Month]
,cte2.[Demand Quarter]
,cte2.[Min Date]
,cte2.Class
,cte2.[Item Type]
,cte2.[Offer PF]
,cte2.[LoB Region]
,cte2.[Key Account]
,cte2.Country
,cte2.[Master Customer]
,cte.[INDPOR Version]
,cte.[INDPOR Timestamp]
having
isnull(sum(cte2.[Forecast Qty] ),0) +
isnull(sum(cte2.[SAD-OrderQty] ),0) +
isnull(sum(cte2.[RDD-OrderQty] ),0)
!=0