How can I take the top 5 suppliers based on sales?
I have the following database:
I have tried multiple solutions this is the closest one but I know it's wrong because of a single supplier appearing more than once.
SELECT TOP 5
(od.UnitPrice * (1 - od.Discount) * od.Quantity) total_sales,
od.Quantity, od.UnitPrice, od.Discount, S.ContactName
FROM
[Order Details] od
INNER JOIN
Products p ON p.ProductID = od.ProductID
INNER JOIN
Suppliers s ON s.SupplierID = p.SupplierID
ORDER BY
total_sales DESC
The sum of the sales is provided by this formula:
SUM(UnitPrice * (1 - Discount) * Quantity)
Any help would be greatly appreciated!
You need to group by supplier
SELECT TOP (5)
s.CompanyName,
s.ContactName,
SUM(od.UnitPrice * (1 - od.Discount) * od.Quantity) total_sales,
FROM
Suppliers s
INNER JOIN
Products p ON s.SupplierID = p.SupplierID
INNER JOIN
[Order Details] od ON p.ProductID = od.ProductID
GROUP BY
s.SupplierID,
s.CompanyName,
s.ContactName
ORDER BY
total_sales DESC;
Note how the primary key of Suppliers is in the grouping even though it is not selected.
Related
Here is the link to the Data Set.
https://www.w3schools.com/sql/trysql.asp?filename=trysql_asc
I have been trying to solve this but couldn't find a way to get the total purchase value while grouping with the customer table
I would recommend using a Common Table Expression (CTE) as, in my experience, it helps with scalability/maintenance down the road and easily enables you to see what the data is under the hood if you wanted to simply run the CTE itself.
I join the Customer to the Order to get the OrderID
I join the Order to OrderDetails to get the ProductID and Order Quantity
I join the OrderDetails to Products to get the Price
I join the Categories to filter for just Beverages
All this is wrapped as a CTE (similar to a subquery), on top of which I can now aggregate at the Customer level and sequence by Order Value in a descending fashion.
with beverage_orders_cte as(
SELECT c.CustomerName, o.OrderID
, od.OrderDetailID, od.ProductID, od.Quantity
, p.ProductName, p.Price
, od.Quantity * p.Price as OrderVal
,cat.CategoryName FROM Customers c
inner join Orders o
on c.CustomerID = o.CustomerID
inner join OrderDetails od
on o.OrderID = od.OrderID
inner join Products p
on od.ProductID = p.ProductID
inner join Categories cat
on p.CategoryID = cat.CategoryID and cat.CategoryID = 1
)
select CustomerName, SUM(OrderVal) as Revenue
From beverage_orders_cte
Group by CustomerName
Order by Revenue desc
Limit 5
Hope this helps, good luck.
Something like that?
SELECT c.customerid,
Sum(p.price)
FROM customers AS c
INNER JOIN orders AS o
ON o.customerid = c.customerid
INNER JOIN orderdetails AS od
ON od.orderid = o.orderid
INNER JOIN products AS p
ON p.productid = od.productid
GROUP BY c.customerid
ORDER BY Sum(p.price) DESC
LIMIT 5
Just following on from your quantity comment...
SELECT c.customerid,
Sum(p.price),
Sum(p.price * od.quantity)
FROM customers AS c
INNER JOIN orders AS o
ON o.customerid = c.customerid
INNER JOIN orderdetails AS od
ON od.orderid = o.orderid
INNER JOIN products AS p
ON p.productid = od.productid
GROUP BY c.customerid
ORDER BY Sum(p.price) DESC
LIMIT 5
I think this is the best optimized code.
Please try with this.
SELECT CustomerID, Count(Quantity * Price) AS Total
FROM Orders, OrderDetails, Products
Where Orders.OrderID = OrderDetails.OrderID AND Products.ProductID = OrderDetails.ProductID
Group by CustomerID
ORDER BY Total DESC
LIMIT 5
I searched and found similar questions online but not my particular one, they all use where or having clause.If theres one similar to mine please link it. It's a 2 part question and I have the first one done. Thank you in advance.
Okay so heres the question, part 1
"Find by customer, the total cost and the total discounted cost for each product on the order ?".
It also asks to use inner joins to find the customer and order it a specific way. Below is the answer.
SELECT
C.companyname, O.orderid, O.orderdate, P.productname,
OD.orderid, OD.unitprice, OD.qty, OD.discount,
(OD.unitprice * OD.qty - (OD.qty * OD.discount)) AS TotalCost,
(OD.qty * OD.discount) AS TotalDiscountedCost
FROM
Sales.Customers AS C
INNER JOIN
Sales.Orders AS O ON C.custid = O.custid
INNER JOIN
Sales.OrderDetails OD ON O.orderid = OD.orderid
INNER JOIN
Production.Products as P ON OD.productid = P.productid
ORDER BY
C.companyname, O.orderdate;
Now the second question is to
follow up and resume the first one by "customer and the order date year, the total cost and the total discounted cost on the order ?". It also asks for this, "Project following columns in the select clause as.
GroupByColumns.companyname
GroupByColumns.OrderdateYear
AggregationColumns.CountNumberOfIndividualOrders
AggregationColumns.CountNumberOfProductsOrders
AggregationColumns.TotalCost
AggregationColumns.TotalDiscountedCost
Finally to order by company name and orderdateYear( which are groups). Where im stuck is how to count the specific orders of qty that equal 1 as an aggregate function in the SELECT clause. I know it has to use the aggregate function COUNT because of the GROUP BY, just don't know how to. This is what I have.
SELECT
C.companyname, YEAR(O.orderdate) AS orderyear,OD.qty,
-- Where in the count function or if theres another way do I count all the
--single orders
--COUNT(OD.qty) AS indiviualorders,
(OD.unitprice * OD.qty - (OD.qty * OD.discount)) AS TotalCost,
(OD.qty * OD.discount) AS TotalDiscountedCost
FROM
Sales.Customers AS C
INNER JOIN
Sales.Orders AS O ON C.custid = O.custid
INNER JOIN
Sales.OrderDetails OD ON O.orderid = OD.orderid
INNER JOIN
Production.Products as P ON OD.productid = P.productid
GROUP BY
C.companyname, YEAR(O.orderdate)
ORDER BY
C.companyname, O.orderdate;
You case use a case statement inside a sum
SUM(CASE WHEN <xyz> THEN 1 ELSE 0 END)
But for the count of unique orders, use SELECT(DISTINCT ) on a key that is unique in the order table
SELECT COUNT(DISTINCT O.OrderID) As DistinctOrders FROM Table
Group the ProductID orders, get a total by ProductID, the total of the orders and what represents the ProductID orders of the total order (that is a percentage). Columns Required: PercenofTotal (UnitPrice * Quantity), TotalAmount (UnitPrice * Quantity), PercentofTheTotal (UnitPrice * Quantity)
So this is my code, what i dont know is to do the percentofTheTotal and TotalAmount
SELECT P.ProductID, (P.UnitPrice * ODQuantity) AS tOTALaMOUNTByProductID, (P.UnitPrice * Quantity) as TotalAmount , (P.UnitPrice * OD.Quantity) as PercenofTotal
From Products as P,
From OrderDetails as OD
Group by P.ProductID
you're trying to do something complicated with simple statements that are not correct. Something like this could possibly do what you want to achieve.
USE AdventureWorks2014
GO
SELECT P.ProductID
, SUM(P.StandardCost * OD.OrderQty) AS TotalAmountByProductID
, MAX(SumTA.TotalAmount) AS TotalAmount
, (SUM(P.StandardCost * OD.OrderQty) / (MAX(SumTA.TotalAmount))*100) AS PercentOfTotal
FROM Production.Product as P
INNER JOIN Sales.SalesOrderDetail as OD on P.ProductID = OD.ProductID
LEFT OUTER JOIN (
SELECT max(pid) as pid, SUM(TA.TotalAmount) as TotalAmount
FROM
( SELECT '1' as pid, P.ProductID, SUM(P.StandardCost * OD.OrderQty) AS TotalAmount
FROM Production.Product as P
JOIN Sales.SalesOrderDetail as OD on P.ProductID = OD.ProductID
Group by P.ProductID
)AS TA
) AS SumTA ON SumTA.pid = '1'
Group by P.ProductID
ORDER BY PercentOfTotal Desc
Guys so as part of my job as a Data Support Analyst I am training up to become a software developer, my mentor gave me a group of test statements and this one seems way more advanced than anything I have done previously. The question is...
*
6) Write a subquery or common table expression to calculate total
orders for each product category. that will Write a query that will
bring back each product name, the total number of orders made for the
product and join to the subquery or CTE to calculate the percentage
of sales that product represents of its product category. For example,
if Category of Soaps has 2 products; Blue Soup and Red Soap, blue soup
had 40 orders and red soaps had 10 orders I would expect to see the
following rows: Product Name Total Orders % of Category Red
Soap 40 80%
Blue Soap 10 20%
*
So far I have managed to get the following but I'm struggling to progress past this...
;WITH [Products] (CategoryId, TotalNumberOfOrders)
AS (
SELECT p.CategoryId,
COUNT (OD.OrderID) as TotalNumberOfOrders
FROM [dbo].[Products] p
INNER JOIN [dbo].[Order Details] OD
ON p.ProductID=OD.ProductID
GROUP BY p.CategoryId )
SELECT * From Products
Any help would be fantastic! ( I'm using NORTHWND database btw)
I think what you need is
;WITH temp AS
(
SELECT p.CategoryId,
COUNT (DISTINCT OD.OrderID) as TotalNumberOfOrders
FROM [dbo].[Products] p
INNER JOIN [dbo].[Order Details] OD ON p.ProductID=OD.ProductID
GROUP BY p.CategoryId
)
SELECT p.ProductName,
Count(DISTINCT Od.OrderId) AS Total,
Count(DISTINCT Od.OrderId)*100/temp.TotalNumberOfOrders AS Percentage
FROM Products p
INNER JOIN [dbo].[Order Details] OD ON p.ProductId = OD.ProductId
INNER JOIN temp ON p.CategoryId = temp.CategoryId
GROUP BY p.ProductId, p.ProductName, temp.TotalNumberOfOrders
Remember Count(Distinct..) to count Order.
Using a sub-Query:
SELECT P.ProductName,
COUNT(OrderID) AS NumberOfOrders,
CAST((CAST(COUNT(OrderID) AS DECIMAL(9,2)) / CAST(Derived_Table.CNT AS
DECIMAL(9,2))) * 100 AS DECIMAL(9,2)) AS Percentage
FROM [Northwind].[dbo].[Order Details]
INNER JOIN dbo.Products AS P
ON [Order Details].ProductID = P.ProductID
INNER JOIN (SELECT COUNT(F.OrderID) AS CNT, P.CategoryID
FROM [Northwind].[dbo].[Order Details] F
INNER JOIN dbo.Products P
ON F.ProductID = P.ProductID
GROUP BY P.CategoryID) AS Derived_Table
ON P.CategoryID = Derived_Table.CategoryID
GROUP BY [Order Details].ProductID, P.ProductName, Derived_Table.CNT
ORDER BY [Order Details].ProductID
I'm trying to find a simple MySQL statement for the following two problems:
I have 4 tables: Employees, Customers, Orders, Products (Each entry in Orders contains a date, a reference one product, a quantity and a reference to a customer, and a reference to an Employee).
Now I'm trying to get all customers where the volume of sale (quantity * product.price) is bigger in 1996 than in 1995.
And: I want to list all Employees whose volume of sale is below the average volume of sale.
Any help would really be appreciated. I've managed to get the information using a php script but I think this can be done with some clever SQL Statements.
Can anybody help me?
Employee Table: ID# Name
Products Table: ID# NAME# PRICE
Orders Table: ODERID# CUSTOMERID # DATE # EMPLOYEE# PRODUCTID# QUANTITY
For the first part (assuming quite a bit about the schema):
SELECT Customers.ID
FROM Customers
LEFT JOIN orders AS o1 ON o1.CustomerID=Customers.ID AND YEAR(o1.DATE) = 1995
LEFT JOIN products AS p1 ON p1.id = o1.productID
LEFT JOIN orders AS o2 ON o2.CustomerID=Customers.ID AND YEAR(o2.DATE) = 1996
LEFT JOIN products AS p2 ON p2.id = o2.productID
HAVING SUM(o1.quantity* p1.price) < SUM(o2.quantity*p2.price)
I don't know the database type you're using, so I'll use sqlserver. The 'Year' function is available on most databases, so you should be able to rewrite the query for your db in question.
I think this is the query which returns all customerid's + ordertotal for the customers which have a higher total in 1996 than in 1995, but I haven't tested it. Crucial is the HAVING clause, where you can specify a WHERE kind of clause based on the grouped result.
SELECT o.CustomerId, SUM(o.Quantity * p.Price) AS Total
FROM Orders o INNER JOIN Products p
ON o.ProductId = p.ProductId
WHERE YEAR(o.Date) == 1996
GROUP BY o.CustomerId
HAVING SUM(o.Quantity * p.Price) >
(
SELECT SUM(o.Quantity * p2.Price) AS Total
FROM Orders o2 INNER JOIN Products p2
ON o2.ProductId = p.ProductId
WHERE YEAR(o.Date) == 1995
AND o2.CustomerId = o.CustomerId
GROUP BY o.CustomerId
)
something like that:
select * from customers c
where (select sum (o.quantity * p.price) from orders o, product p where o.productID = p.productID and o.dateyear = 1996 and o.customerID = c.customerID) < (select sum (o.quantity * p.price) from orders o, product p where o.productID = p.productID and o.dateyear = 1995 and o.customerID = c.customerID)
select * from employees e where (select avg (o.quantity * p.price) from orders o, product p where o.productID = p.productID and o.empID = e.EmpID) < (select avg (o.quantity * p.price) from orders o, product p where o.productID = p.productID)