Avatar of Paula DiTallo
Paula DiTallo
Flag for United States of America asked on

Failed SQL SUM/group or SUM/partion over statement.

I am attempting to group/sum/partition over by category after joining a sales table with a product table.  I am not getting the expected results. Here are the expected results I'm looking to achieve:

-- Desired resultset
-- Store      SaleDate      Qty   Amt      Category
-- 1          2020-01-01              30     3.00        vegetable
-- 1          2020-01-01              35   11.75       fruit
-- 2          2020-01-01                8   10.56        vegetable
-- 2          2020-01-01               20   7.00         fruit
-- 1          2020-01-02               28   8.40         fruit


Here is the build script (t-sql mssql)

-- create tables

-- drop table #categories
create table #categories
(categoryname varchar(20),
 productname varchar(20)
)

-- drop table #sales
create table #sales
(Store int,
 SaleDate date,
 productname varchar(20),
 qty int,
 price decimal(4,2)
)

-- create categories
insert into #categories
(categoryname,productname)
values
('fruit','apple')

insert into #categories
(categoryname,productname)
values
('fruit','orange')

insert into #categories
(categoryname,productname)
values
('vegetable','carrot')

insert into #categories
(categoryname,productname)
values
('vegetable','cabbage')


-- generate sales data for a store

insert into #sales
(Store,SaleDate,productname,qty,price)
values
(1,cast('2020-01-01' as date),'carrot',20,.10)
 
insert into #sales
(Store,SaleDate,productname,qty,price)
values
(1,cast('2020-01-01' as date),'carrot',10,.10)

 insert into #sales
(Store,SaleDate,productname,qty,price)
values
(1,cast('2020-01-01' as date),'apple',10,.30)

 insert into #sales
(Store,SaleDate,productname,qty,price)
values
(1,cast('2020-01-01' as date),'orange',10,.35)

insert into #sales
(Store,SaleDate,productname,qty,price)
values
(1,cast('2020-01-01' as date),'orange',15,.35)


-- generate sales for another store

insert into #sales
(Store,SaleDate,productname,qty,price)
values
(2,cast('2020-01-01' as date),'cabbage',8,1.32)

insert into #sales
(Store,SaleDate,productname,qty,price)
values
(2,cast('2020-01-01' as date),'orange',20,.35)

-- store #1, a different day

insert into #sales
(Store,SaleDate,productname,qty,price)
values
(1,cast('2020-01-02' as date),'apple',8,.30)

insert into #sales
(Store,SaleDate,productname,qty,price)
values
(1,cast('2020-01-02' as date),'apple',20,.30)


-- Look at what got created

select * from #categories

select * from #sales

Open in new window


I have tried these two queries--the results are not what I am expecting to see.  What am I doing incorrectly?

-- group by attempt

select s.Store,
       s.SaleDate,
	   c.CategoryName,
	   sum(s.qty) as Qty,
	   sum(s.price) as Amt
 from #sales s
  inner join #categories c
    on c.productname = s.productname
 group by s.Store,
          s.SaleDate,
		  c.CategoryName
  order by Store,SaleDate, categoryname desc

-- partition over attempt

  select s.Store,
       s.SaleDate,
	   c.CategoryName,
	   sum(s.qty)  over(partition by c.categoryname) as Qty,
	   sum(s.price) over(partition by c.categoryname) as Amt
 from #sales s
  inner join #categories c
    on c.productname = s.productname
 order by Store,SaleDate,CategoryName desc

Open in new window

Microsoft SQL ServerSQL

Avatar of undefined
Last Comment
Paula DiTallo

8/22/2022 - Mon
Ryan Chong

you should use:

sum(s.qty*s.price) as Amt

Open in new window


instead of

sum(s.price) as Amt

Open in new window


to implement:

select s.Store,
       s.SaleDate,
	   c.CategoryName,
	   sum(s.qty) as Qty,
	   sum(s.qty*s.price) as Amt
 from #sales s
  inner join #categories c
    on c.productname = s.productname
 group by s.Store,
          s.SaleDate,
		  c.CategoryName
  order by Store,SaleDate, categoryname desc

Open in new window

ASKER CERTIFIED SOLUTION
Scott Pletcher

THIS SOLUTION ONLY AVAILABLE TO MEMBERS.
View this solution by signing up for a free trial.
Members can start a 7-Day free trial and enjoy unlimited access to the platform.
See Pricing Options
Start Free Trial
GET A PERSONALIZED SOLUTION
Ask your own question & get feedback from real experts
Find out why thousands trust the EE community with their toughest problems.
Paula DiTallo

ASKER
Scott,
Brilliantly done! Thanks so much for your help. I like that you are thinking ahead for a reality we all wish would never happen (missing categories), but know in our hearts it will! :)
Paula DiTallo

ASKER
Ryan,
Thank you for working on this, I appreciate it. Your statement did work. I chose Scott's because think I should take into account both the possibility of a missing category and his performance suggestion.
This is the best money I have ever spent. I cannot not tell you how many times these folks have saved my bacon. I learn so much from the contributors.
rwheeler23