I have a sales table and products table. I'd like to retrieve the last sales and the product price of the last sales. Is there a query that can do this in a simple way:
Select Max(s.SalesDate), p.ProductName, Max(s.Price)
From Sales s
inner join products p
group by p.ProductName
This doesn't work because max(price) is not from the last sale
select * from
(
Select s.SalesDat, p.ProductName, Maxs.Price
, row_number() over (partition by p.ProductName order by s.SalesDat desc) as rn
From Sales s
inner join products p
) tt
where tt.rn = 1
clearly you are missing a join condition
Related
select department.department_name from department
join(select department_id,count(staff_id) as staff_count from staff group by department_id)s on
department.department_id=s.department_id
order by department.department_name desc ;
It worked for me when I executed both the queries. You can try either of them.
select department_name
from
(
select d.department_name,
count(*) as staff_count
from department d
join staff s
on d.department_id=s.department_id
Group by d.department_name
Order by staff_count DESC
)
where rownum <= 1;
Or
select top 1 department_name
from staff
join department
on s.department_id = d.department_id
group by department_name
order by count(*) desc
I have a fact database from which I want to make a trendline based on top 10 items based on sum quantity for each item per year.
I've done the following, but it does for example select more than 10 entities for my year 2007:
select TOP 10 sum(Quantity) as Quantity,DIM_Time.Year, DIM_Item.Name as Name
from Fact_Purchase
join DIM_Item on DIM_Item.BKey_ItemId = Fact_Purchase.DIM_Item
join DIM_Time on DIM_Time.ID = Fact_Purchase.DIM_Time_DeliveryDate
where Fact_Purchase.DIM_Company = 2 and DIM_Time.ID = FACT_Purchase.DIM_Time_DeliveryDate
Group by dim_item.Name, DIM_Time.Year
Order by Quantity DESC
How do I select top 10 items with the highest quantity through all my years, with only 10 top entities for each year?
As you can guess, the company is individual, and Is going to be a parameter in my report
I think this is what you're going for. My apologies if I messed up on translating your tables across.
select *
from (
select DIM_Time.[Year], dim_item.Name, SUM(Quantity) Quantity, RANK() OVER (PARTITION BY DIM_Time.[Year] ORDER BY SUM(Quantity) DESC) salesrank
from Fact_Purchase
join DIM_Item on DIM_Item.BKey_ItemId = Fact_Purchase.DIM_Item
join DIM_Time on DIM_Time.ID = Fact_Purchase.DIM_Time_DeliveryDate
where Fact_Purchase.DIM_Company = 2 and DIM_Time.ID = FACT_Purchase.DIM_Time_DeliveryDate
group by dim_item.Name, DIM_Time.[Year]
) tbl
where salesrank <= 10
order by [Year], salesrank
The subquery groups by name/year, and the RANK() OVER part sets up a sort of row index that increments by SUM(Quantity) and restarts for each Year. From there you just have to filter out anything with a salesrank (index) that's over 10.
SELECT
_year,
Name,
_SUM,
RANK_iD
FROM
(
SELECT
_year,
Name,
_SUM,
DENSE_RANK()OVER(PARTITION BY _year,_Month ORDER BY _SUM DESC) AS RANK_iD
FROM(
Select
DIM_Time AS _year,
DIM_Item as Name,
sum(Quantity) AS _SUM
from
#ABC
GROUP BY
_year,
Name
)A
)B
WHERE RANK_iD<=10
I am learning window functions in sql server. I am using AdventrueWorks2012 database for practice. I want to calculate total number of sales and purchases for each item in the store.
The classic solution can be like
SELECT ProductID,
Quantity,
(SELECT Count(*)
FROM AdventureWorks.Purchasing.PurchaseOrderDetail
WHERE PurchaseOrderDetail.ProductID = p.ProductID) TotalPurchases,
(SELECT Count(*)
FROM AdventureWorks.Sales.SalesOrderDetail
WHERE SalesOrderDetail.ProductID = p.ProductID) TotalSales
FROM (SELECT DISTINCT ProductID,
Quantity
FROM AdventureWorks.Production.ProductInventory) p
Trying to convert to window functions gives me wrong results:
SELECT DISTINCT d.ProductID,
Quantity,
Count(d.ProductID)
OVER(
PARTITION BY d.ProductID) TotalPurchases,
Count(d2.ProductID)
OVER(
PARTITION BY d2.ProductID) TotalSales
FROM (SELECT DISTINCT ProductID,
Quantity
FROM AdventureWorks.Production.ProductInventory) p
INNER JOIN AdventureWorks.Purchasing.PurchaseOrderDetail d
ON p.ProductID = d.ProductID
INNER JOIN AdventureWorks.Sales.SalesOrderDetail d2
ON p.ProductID = d2.ProductID
ORDER BY d.ProductID
Why this is wrong? How can I correct it?
You should change INNER JOIN to LEFT JOIN
Because when you inner join, result will miss productid which from ProductInventory table does not have PurchaseOrderDetail or SalesOrderDetail.
SELECT Product.ProductName
,SUM(Purchase.Value) AS TotalPurchase
,SUM(Sales.Value) AS TotalSales
,((TotalPurchase) - (TotalSales)) AS ProductAvailability
FROM Product
INNER JOIN Purchase ON Product.ProductID = Purchase.ProductID
INNER JOIN Sales ON Product.ProductID = Sales.ProductID
GROUP BY Product.ProductName
I have 3 Table Product - Sales - Purchase
and i want Show product name total sales each product ,total purchase of each
product And how many of those product still unsold
SELECT Product.ProductName
,SUM(Purchase.Value) AS TotalPurchase
,ISNULL(SUM(Sales.Value),0) AS TotalSales
,(SUM(Purchase.Value) - ISNULL(SUM(Sales.Value),0)) AS ProductAvailability
FROM Product
LEFT JOIN Purchase ON Product.ProductID = Purchase.ProductID
LEFT JOIN Sales ON Product.ProductID = Sales.ProductID
GROUP BY Product.ProductName
Since you also want to show the unsold products , there will be no data for them products in the sales table, hence you need a LEFT JOIN here not an INNER JOIN.
Also the columns TotalPurchase and TotalSales are available to be called in the query they are being calculated , hence use a sub-query to manipulate these columns or use the expression itself.
After 5 Hours OF playing With Query I FOUND THE ANSWER
SELECT PN.ProductName,TotalPurchase ,TotalSales,TotalPurchase-TotalSales AS ProductAvailability
FROM
((SELECT SUM(Purchase.Value) AS TotalPurchase,Purchase.ProductID FROM Purchase GROUP BY Purchase.ProductID ) AS TP
INNER JOIN
(SELECT SUM(Sales.Value) AS TotalSales,Sales.ProductID FROM Sales GROUP BY Sales.ProductID ) AS TS
ON tp.ProductID=TS.ProductID
INNER JOIN
(SELECT Product.ProductName,Product.ProductID FROM Product GROUP BY Product.ProductName,ProductID) AS PN ON PN.ProductID=TS.ProductID
)
I have three tables, Customers, Sales and Products.
Sales links a CustomerID with a ProductID and has a SalesPrice.
select Products.Category, AVG(SalePrice) from Sales
inner join Products on Products.ProductID = Sales.ProductID
group by Products.Category
This lets me see the average price for all sales by category. However, I only want to include customers that have more than 3 sales records or more in the DB.
I am not sure the best way, or any way, to go about this. Ideas?
You haven't mentioned the customer data anywhere so I'll assume it's in the Sales table
You need to filter and restrict the Sales table first to the customers with more the 3 sales, then join to get product category and get the average across categories
select
Products.Category, AVG(SalePrice)
from
(SELECT ProductID, SalePrice FROM Sales GROUP BY CustomerID HAVING COUNT(*) > 3) S
inner join
Products on Products.ProductID = S.ProductID
group by
Products.Category
I'd try the following:
select Products.Category, AVG(SalePrice) from Sales s
inner join Products on Products.ProductID = s.ProductID
where
(Select Count(*) From Sales Where CustomerID = s.CustomerID) > 3
group by Products.Category
I'd create a pseudo-table of "big customer IDs" with a select, and then join it to your query to limit the results:
SELECT Products.Category, AVG(SalePrice) FROM Sales
INNER JOIN Products ON Products.ProductID = Sales.ProductID
INNER JOIN (
SELECT CustomerID FROM Sales WHERE COUNT(CustomerID) >= 3 GROUP BY CustomerID
) BigCustomer ON Sales.CustomerID = BigCustomer.CustomerID
GROUP BY Products.Category
Too lazy to test this out though, so let me know if it works ;o)
Another way
;WITH FilteredSales AS
(
SELECT Products.Category, Sales.SalesPrice, COUNT(Sales.CustomerId) OVER(PARTITION BY Sales.CustomerId) AS SaleCount
FROM Sales
INNER JOIN Products ON Products.ProductID = Sales.ProductID
)
select Category, AVG(SalePrice)
from FilteredSales
WHERE SaleCount > 3
group by Category