i need to select among other fields the age of a customer at the time he/she bought some product of a specific brand etc, WHERE the customer was for example between 30 and 50 years old.i wrote this query (getAge just uses DATEDIFF to return the age in years)
SELECT DISTINCT customers.FirstName, customers.LastName,
products.ProductName,
dbo.getAge(customers.BirthDate,sales.Datekey)
AS Age_when_buying
FROM sales
INNER JOIN dates ON sales.Datekey=dates.Datekey
INNER JOIN customers ON sales.CustomerKey=customers.CustomerKey
INNER JOIN products ON sales.ProductKey=products.ProductKey
INNER JOIN stores ON sales.StoreKey=stores.StoreKey
WHERE stores.StoreName = 'DribleCom Europe Online Store' AND
products.BrandName = 'Proseware' AND
dbo.getAge(customers.BirthDate, sales.Datekey) >= 30 AND
dbo.getAge(customers.BirthDate, sales.Datekey) <=50
and it works but i calculate the age three times.I tried to assign age_when_buying to a variable but it didn't work.My next thought was to use cursor but i feel that there is a more simple way i am missing.The question is: which is the appropriate way to solve this or what are my options?
Assuming that you only have a limited number of filters you'd like to apply, you could use a Common Table Expression to restructure your query.
I personally find it easier to see all the joins and such in one place, while the filters are similarly grouped together at the bottom...
WITH CTE AS(
select customers.FirstName
, customers.LastName
, dbo.getAge(customers.BirthDate,sales.Datekey) AS Age_when_buying
, sales.StoreName
, products.BrandName
, products.ProductName
from sales
INNER JOIN customers on sales.CustomerKey=customers.CustomerKey
INNER JOIN products ON sales.ProductKey = products.ProductKey
INNER JOIN stores ON sales.StoreKey = stores.StoreKey
)
SELECT DISTINCT FirstName, LastName, ProductName, Age_when_buying
FROM CTE
WHERE StoreName = 'DribleCom Europe Online Store'
AND BrandName = 'Proseware'
AND Age_when_buying BETWEEN 30 AND 50
You should use Cross Apply.
SELECT DISTINCT customers.FirstName, customers.LastName,
products.ProductName,
age.age AS Age_when_buying
FROM sales
INNER JOIN dates ON sales.Datekey=dates.Datekey
INNER JOIN customers ON sales.CustomerKey=customers.CustomerKey
INNER JOIN products ON sales.ProductKey=products.ProductKey
INNER JOIN stores ON sales.StoreKey=stores.StoreKey
CROSS APPLY
(select dbo.getAge(customers.BirthDate, sales.Datekey) as age) age
WHERE stores.StoreName = 'DribleCom Europe Online Store' AND
products.BrandName = 'Proseware' AND
age.age >= 30 AND
age.age <=50
You could use a WITH clause :
WITH Customers_Info (CustomerFirstName, CustomerLastName, CustomerKey, AgeWhenBuying)
AS
(
SELECT customers.FirtName,
customers.LastName,
CustomerKey
dbo.getAge(customers.BirthDate, sales.DateKey) As AgeWhenBuying
FROM customers
JOIN sale USING(CustomerKey)
)
SELECT FirstName,
LastName,
products.ProductName,
Customers_Info.AgeWhenBuying
FROM Customers_Info
JOIN sale USING(CustomerKey)
JOIN products USING(ProductKey)
JOIN stores USING(StoreKey)
WHERE stores.StoreName = 'DribleCom Europe Online Store'
AND products.BrandName = 'Proseware'
AND Customers_Info.AgeWhenBuying >= 30
AND Customers_Info.AgeWhenBuying <= 50;
Related
I am querying a SQL Server database using a stored procedure.
My database tables include:
Customers
SalesOrders - Linked to the customers with an id
SalesOrderLines - Linked to the SalesOrders with an id
SalesOrderReleases - Linked to the SalesOrderLines with an id, stores the quantity on the order line that has been released and ready to manufacture, the SalesOrderLine quantity can be all on one release or split up on multiple
FinishedGoods - linked to the SalesOrderLines with an id, stores the quantity of the SalesOrderLine where manufacturing is complete, the SalesOrderLine quantity can be all on one FinishedGood entry or split up on multiple
I need to retrieve all the customers that have SalesOrderLines with SalesOrderReleases and FinishedGoods where the total quantity finished is less than the total quantity released
I have tried this SQL code but Customers appear repeatedly in the results
SELECT
Customer.ID, Customer.Name
FROM
Customer
INNER JOIN
SalesOrder ON Customer.ID = SalesOrder.CustomerID
INNER JOIN
SalesOrderLine ON SalesOrder.ID = SalesOrderLine.SalesOrderID
INNER JOIN
SalesOrderRelease ON SalesOrderLine.ID = SalesOrderRelease.SalesOrderLineID
INNER JOIN
FinishedGood ON SalesOrderLine.ID = FinishedGood.SalesOrderLineID AND FinishedGood.Quantity < SalesOrderRelease.Quantity
I am looking for a SQL code snippet that will query multiple tables the way I have described.
try this code:
SELECT Customer.ID, Customer.Name FROM Customer
INNER JOIN SalesOrder ON Customer.ID = Order.CustomerID
INNER JOIN SalesOrderLine ON Order.ID = OrderLine.OrderID
INNER JOIN
(SELECT OrderID, OrderLineID, SUM (Quantity) AS SRQuantity FROM
SalesOrderRelease GROUP BY OrderID, OrderLineID) AS SRQ
ON SRQ.OrderID = SalesOrderLine.OrderID
INNER JOIN
(SELECT OrderLineID, SUM (Quantity) AS FGQuantity FROM
FinishedGoods GROUP BY OrderLineID) AS FGQ
ON SRQ.OrderLineID = FGQ.OrderLineID
WHERE FGQ.FgQuantity < SRQ.SRQuantity
Credits to Sergey for his answer, I was able to use the sample code he provided with several slight modifications:
SELECT Customer.ID, Customer.Name FROM Customer
INNER JOIN SalesOrder ON Customer.ID = SalesOrder.CustomerID
INNER JOIN SalesOrderLine ON SalesOrder.ID = SalesOrderLine.SalesOrderID
INNER JOIN
(SELECT SalesOrderID, SalesOrderLineID, SUM (Quantity) AS SRQuantity FROM
SalesOrderRelease GROUP BY SalesOrderID, SalesOrderLineID) AS SRQ
ON SRQ.SalesOrderLineID = SalesOrderLine.SalesOrderID
LEFT JOIN
(SELECT SalesOrderLineID, SUM (Quantity) AS FGQuantity FROM
FinishedGood GROUP BY SalesOrderLineID) AS FGQ
ON SRQ.SalesOrderLineID = FGQ.SalesOrderLineID
WHERE ISNULL(FGQ.FgQuantity, 0) < SRQ.SRQuantity
The last join needed to be a Left Join
When comparing the FgQuantity and the SRQuantity in the last line, I needed to have it check for NULL values
With these modifications everythings works perfectly!
I have the tables products and history and I need to group by name:
products = (id_product, name)
history = (id_history, id_product, amount)
I tried this SQL query but it isn't grouped by name:
SELECT
products.name,
sum(history.amount)
FROM history
INNER JOIN products ON history.id_product = products.id_product
GROUP BY
products.name,
history.amount,
history.id_history;
This is the result:
You should only be grouping by the attributes you need to be aggregated. In this case, you need only products.name.
SELECT
products.name,
sum(history.amount) AS [Amount]
FROM history
INNER JOIN products ON history.id_product = products.id_product
GROUP BY
products.name;
If you need to include products without history (assuming sum should be 0 instead of null in this case), then you can use an OUTER JOIN instead of INNER JOIN to include all products:
SELECT
products.name,
COALESCE(sum(history.amount), 0) AS [Amount]
FROM history
RIGHT OUTER JOIN products ON history.id_product = products.id_product
GROUP BY
products.name;
This is no answer, but too long for a comment.
For readability's sake the product table should be first. After all it is products that we select from, plus a history sum that we can access via [left] join history ... followed by an aggregation, or [left] join (<history aggregation query>), or a subselect in the select clause.
Another step to enhance readability is the use of alias names.
Join the table, then aggregate
select p.name, coalesce(sum(h.amount), 0) as total
from products p
left join history h on h.id_product = p.id_product
group by p.name
order by p.name;
Aggregate, then join
select p.name, coalesce(h.sum_amount, 0) as total
from products p
left join
(
select sum(h.amount) as sum_amount
from history
group by id_product
) h on h.id_product = p.id_product
order by p.name;
Get the sum in the select clause
select
name,
(select sum(amount) from history h where h.id_product = p.id_product) as total
from products p
order by p.name;
And as you were confused on how to use GROUP BY, here is an explanation: GROUP BY ___ means you want one result row per ___. In your original query you had GROUP BY products.name, history.amount, history.id_history saying you wanted one result row per name, amount, and id, while you actually wanted one row per name only, i.e. GROUP BY products.name.
I am trying to find the average number of products/store. I want something like this:
Store Avg.Products
Store 1 100
Store 2 20
Store table: StoreId
Products table: Productid, Pname, StoreId
If there are 100 total products and by using count i got 9 products for store 1 i want 9/100 for store 1 and similarly for the other stores
I tried:
Select avg(counts) from(Select count(*) AS counts
FROM Store Join Product ON Store.Id = product.StoreId Group By Store.id)table1
But this just gives me a single value. Any ideas? Thanks
You can try to group the outer query by store name and cast AVG parameter to float to allow it to return non-integer values:
SELECT storeName, avg(CAST(counts AS float)) FROM
(Select count(*) AS counts, S.Name as storeName
FROM Store S JOIN Product P ON S.Id = P.StoreId Group By S.id, S.Name) table1
GROUP BY storeName
It may be not the best way to do this, but it should return the expected results.
UPDATE
I've verified the answer and updated the code with a fixed version. Let me know if it works for Your case.
UPDATE II
According to Your comment, You would like to calculate the number of products for each shop name and then divide it by total number of products in the database.
If this has to be one query, You can do it like this:
SELECT S.Name as storeName, CAST(count(*) AS float) / MIN(T.TotalCount) AS AVGToTotalProductsCount
FROM Store S JOIN Product P ON S.Id = P.StoreId
JOIN (SELECT COUNT(1) AS TotalCount FROM Product) T ON 1=1
GROUP BY S.Name
However, if the query can be split into multiple queries, You may be able to calculate it like this:
DECLARE #totalNumOfProducts INT
SELECT #totalNumOfProducts = COUNT(1) FROM Product
SELECT S.Name as storeName, CAST(COUNT(*) AS float) / #totalNumOfProducts AS AVGToTotalProductsCount
FROM Store S JOIN Product P ON S.Id = P.StoreId
GROUP BY S.Name
You're on the right track. In your derived table, get a COUNT(ProductID) and GROUP BY StoreID. Then JOIN that back to your main query on StoreID, and do the AVG aggregation:
SELECT S.Name, AVG(ProductCount)
FROM Stores S
INNER JOIN (SELECT COUNT(ProductID) as ProductCount, StoreID
FROM Stores S
GROUP BY StoreID) P on S.ID = P.StoreID
GROUP BY S.Name
You are making it too hard. Just count the products that result from the join.
select s.StoreID, s.Name, count(p.ProductID) ProductCount
from store s
join Product p on p.StoreID=s.StoreID
group by s.StoreID, s.Name
order by count(p.ProductID);
select table1.t1 from
(
(
select
ItemCategory.Name as Category,
InventoryItems.Name as ItemName,
sum(SalesItems.Quantity) as Quantity,
(InventoryItems.Weight*sum(SalesItems.Quantity)) as Weight,
sum(SalesItems.Amount) as Amount
from SalesInvoices
inner join Sales on Sales.ID = SalesInvoices.SalesID
inner join SalesItems on SalesItems.SalesID = Sales.ID
inner join InventoryItems on InventoryItems.ID = SalesItems.InventoryItemID
inner join ItemCategory on ItemCategory.ID = InventoryItems.ItemCategoryID
inner join BusinessPartners on Sales.BusinessPartnerID = BusinessPartners.ID
where SalesInvoices.Date >= '2013-07-1' and SalesInvoices.Date <= '2013-11-7'
group by ItemCategory.Name,InventoryItems.Name,InventoryItems.Weight
) as t1,
(
select
ItemCategory.Name as Category,
InventoryItems.Name as ItemName,
sum(SalesAdjustmentItems.AdjustedQuantity)*-1 as Quantity,
(sum(SalesAdjustmentItems.AdjustedQuantity)*InventoryItems.Weight)*-1 as
Weight,
sum(SalesAdjustmentItems.AmountReturn)*-1 as Amount
from SalesInvoices
inner join Sales on Sales.ID = SalesInvoices.SalesID
inner join SalesItems on SalesItems.SalesID = Sales.ID
inner join SalesAdjustmentItems on SalesAdjustmentItems.SalesItemID = SalesItems.ID
inner join InventoryItems on InventoryItems.ID = SalesItems.InventoryItemID
inner join ItemCategory on ItemCategory.ID = InventoryItems.ItemCategoryID
inner join SalesAdustment on SalesAdustment.SalesInvoiceID = SalesInvoices.ID
inner join BusinessPartners on Sales.BusinessPartnerID = BusinessPartners.ID
where SalesAdustment.Date>= '2013-07-1' and SalesAdustment.Date <= '2013-11-7'
group by ItemCategory.Name,InventoryItems.Name,InventoryItems.Weight
) as t2
)
as table1
What I am doing wrong in this query. 1st query is for Sales and second query is for Sale returns. I want to get the difference of Sales and Returns. But is giving me error.
Thanks
The SQL minus operator is known as EXCEPT e.g. to find sales that have no invoices:
-- Sales minus SalesInvoices
SELECT ID
FROM Sales
EXCEPT
SELECT SalesID
FROM SalesInvoices;
If you are using older versions,
SELECT ID
FROM Sales
where not exists(SELECT SalesID FROM SalesInvoices where sales.ID=SalesID);
I want to make a query to list cats that took longer than average cats to sell?
I have five tables:
Animal, Sale, AnimalOrderItem, AnimalOrder, and SaleAnimal
Animal table: AnimalID, Name, Category
(cat, dog, fish)
SaleAnimal table: SaleID, AnimalID,
SalePrice
Sale table: SaleID, date, employeeID,
CustomerID
AnimalOrderItem table: OrderID,
AnimalID, cost
AnimalOrder: OrderID, OrderDate,
ReceivingDate,
SupplierID, ShippingCost, EmployeeID
There is other tables I don’t think they have an effect on the query.
I thought of the following ... make a query to calculate days to sell for all ex.:
[SaleDate]-[ReceiveDate] AS DaysToSell
Have the INNER JOIN built:
Sale INNER JOIN ((AnimalOrder INNER JOIN (Animal INNER JOIN AnimalOrderItem
ON Animal.AnimalID = AnimalOrderItem.AnimalID) ON AnimalOrder.
OrderID = AnimalOrderItem.OrderID) INNER JOIN SaleAnimal ON Animal.
AnimalID = SaleAnimal.AnimalID) ON Sale.SaleID = SaleAnimal.SaleID
Create another query based on the above query
SELECT AnimalID, Name, Category, DaysToSell
WHERE Category="Cat" AND DaysToSell>
(SELECT Avg(DaysToSell)
FROM the earlier query
WHERE Category="Cat"
ORDER BY DaysToSell DESC;
After running the query it I got error saying
ORA-00921: unexpected end of SQL
command
Any suggestions! please
Queries can be combined with a subquery. For example,
select *
from (
select *
from mytable
) subquery
Applying this pattern to your problem seems fairly straightforward.
I don't see the closed bracket that matches with the select avg
Ok, I've come up with this:
SELECT AnimalID, Name, Category,
[SaleDate]-[ReceiveDate] AS DaysToSell
FROM Sale INNER JOIN ((AnimalOrder INNER JOIN (Animal INNER JOIN AnimalOrderItem ON Animal.AnimalID = AnimalOrderItem.AnimalID) ON AnimalOrder.OrderID = AnimalOrderItem.OrderID)
INNER JOIN SaleAnimal ON Animal.AnimalID = SaleAnimal.AnimalID) ON Sale.SaleID = SaleAnimal.SaleID
WHERE Category = "Cat"
AND ([SaleDate]-[ReceiveDate]) > (SELECT AVG([SaleDate]-[ReceiveDate])
FROM Sale INNER JOIN ((AnimalOrder INNER JOIN (Animal INNER JOIN AnimalOrderItem ON Animal.AnimalID = AnimalOrderItem.AnimalID) ON AnimalOrder.OrderID = AnimalOrderItem.OrderID)
INNER JOIN SaleAnimal ON Animal.AnimalID =SaleAnimal.AnimalID) ON Sale.SaleID = SaleAnimal.SaleID
WHERE Category = "Cat")
ORDER BY ([SaleDate]-[ReceiveDate]) DESC;