This is the code I'm trying to run
select min(sod.ModifiedDate) as [ModifiedDate]
,Bikes = (select sum(LineTotal) from SalesOrderDetail where max(ProductCategoryName) = 'Bikes' and ModifiedDate = sod.ModifiedDatee)
,Components = (select sum(LineTotal) from SalesOrderDetail where max(ProductCategoryName) = 'Components' and ModifiedDate = sod.ModifiedDate)
,Clothing = (select sum(LineTotal) from SalesOrderDetail where max(ProductCategoryName) = 'Clothing' and ModifiedDate = sod.ModifiedDate )
,Accessories = (select sum(LineTotal) from SalesOrderDetail where max(ProductCategoryName) = 'Accessories' and ModifiedDate = sod.ModifiedDate )
from SalesOrderDetail sod
inner join product p on p.ProductID = sod.ProductID
inner join ProductSubcategory ps on ps.ProductSubcategoryID = p.ProductSubcategoryID
inner join ProductCategory pc on pc.ProductCategoryID = ps.ProductCategoryID
group by ProductCategoryName
,sod.ModifiedDate
,datepart(year, sod.ModifiedDate)
,datepart(month, sod.ModifiedDate)
,datepart(day, sod.ModifiedDate)
order by datepart(year, sod.ModifiedDate)
,datepart(month, sod.ModifiedDate)
,datepart(day, sod.ModifiedDate)
I can't figure out how to make it so it splits the LineTotal into the four ProductNameCategory like this: (expected result)
ModifiedDate | Bikes | Components | Clothing | Accessories |
---|---|---|---|---|
2005-07-01 00:00:00.000 | 467709.136900 | 31525.960400 | 2875.153600 | 1695.666000 |
2005-07-02 00:00:00.000 | 13931.520000 | NULL | NULL | NULL |
2005-07-03 00:00:00.000 | 15012.178200 | NULL | NULL | NULL |
2005-07-04 00:00:00.000 | 7156.540000 | NULL | NULL | NULL |
2005-07-05 00:00:00.000 | 15012.178200 | NULL | NULL | NULL |
All I get is this, it adds all the lineTotal for a given date regardless of ProductCategoryName and then puts the sum in Components, except when the only thing there is that day is Bikes, then he puts it in Bikes.
ModifiedDate | Bikes | Components | Clothing | Accessories |
---|---|---|---|---|
2005-07-01 00:00:00.000 | NULL | 503805.916900 | NULL | NULL |
2005-07-02 00:00:00.000 | 13931.520000 | NULL | NULL | NULL |
2005-07-03 00:00:00.000 | 15012.178200 | NULL | NULL | NULL |
2005-07-04 00:00:00.000 | 7156.540000 | NULL | NULL | NULL |
2005-07-05 00:00:00.000 | 15012.178200 | NULL | NULL | NULL |
How can I make it look like the expected result without Pivot and case when? I need to get the results showed here using four different methods to then test performance and I already used pivot and case when. I'm trying to use this method I found
CodePudding user response:
Here's one way to do it without PIVOT
or CASE
, but it's really ugly as a result, even after pulling some of the joins and aggregations out of the main query:
WITH ProductMeta AS
(
SELECT p.ProductID, CatName = pc.Name
FROM Production.Product AS p
INNER JOIN Production.ProductSubcategory ps
on ps.ProductSubcategoryID = p.ProductSubcategoryID
INNER JOIN Production.ProductCategory pc
on pc.ProductCategoryID = ps.ProductCategoryID
WHERE pc.Name IN (N'Bikes',N'Components',N'Clothing',N'Accessories')
), Agg AS
(
SELECT date = CONVERT(date, sod.ModifiedDate),
pm.CatName,
LineTotal = SUM(LineTotal)
FROM Sales.SalesOrderDetail sod
INNER JOIN ProductMeta AS pm ON sod.ProductID = pm.ProductID
GROUP BY CONVERT(date, sod.ModifiedDate), pm.CatName
)
SELECT a.date
,Bikes = (SELECT SUM(LineTotal) FROM Agg
WHERE date = a.date AND CatName = 'Bikes')
,Components = (SELECT SUM(LineTotal) FROM Agg
WHERE date = a.date AND CatName = 'Components')
,Clothing = (SELECT SUM(LineTotal) FROM Agg
WHERE date = a.date AND CatName = 'Clothing')
,Accessories = (SELECT SUM(LineTotal) FROM Agg
WHERE date = a.date AND CatName = 'Accessories')
FROM Agg AS a
GROUP BY a.date;