Alias name issue in SQL - sql-server

I was trying to write a query for the SQL Server sample DB Northwind. The question was: "Show the most recent five orders that were purchased by a customer who has spent more than $25,000 with Northwind."
In my query the Alias name - "Amount" is not being recognized. My query is as follows:
select top(5) a.customerid, sum(b.unitprice*b.quantity) as "Amount", max(c.orderdate) as Orderdate
from customers a join orders c
on a.customerid = c.customerid
join [order details] b
on c.orderid = b.orderid
group by a.customerid
--having Amount > 25000 --throws error
having sum(b.unitprice*b.quantity) > 25000 --works, but I don't think that this is a good solution
order by Orderdate desc
Pls let me know what I am doing wrong here, as I am a newbie in writing T Sql. Also can this query and my logic be treated as production level query?
TIA,

You must use the aggregate in the query you have. This all has to do with the order in which a SELECT statement is executed. The syntax of the SELECT statement is as follows:
SELECT
FROM
WHERE
GROUP BY
HAVING
ORDER BY
The order in which a SELECT statement is executed is as follows. Since the SELECT clause isn't executed until after the HAVING clause, you can't use the alias like you can in the ORDER BY clause.
FROM
WHERE
GROUP BY
HAVING
SELECT
ORDER BY
Reference Article: http://www.bennadel.com/blog/70-sql-query-order-of-operations.htm

This is a known limitation in SQL Server, at least, but no idea if it's a bug, intentional or even part of the standard. But the thing is, neither the WHERE or HAVING clauses accept an alias as part of their conditions, you must use only columns from the original source tables, which means that for filtering by calculated expressions, you must copy-paste the very same thing in both the SELECT and WHERE parts.
A workaround for avoiding this duplication can be to use a subquery or cte and apply the filter on the outer query, when the alias is just an "input" table:
WITH TopOrders AS (
select a.customerid, sum(b.unitprice*b.quantity) as "Amount", max(c.orderdate) as Orderdate
from customers a join orders c
on a.customerid = c.customerid
join [order details] b
on c.orderid = b.orderid
group by a.customerid
--no filter here
order by Orderdate desc
)
SELECT TOP(5) * FROM TopOrders WHERE Amount > 25000 ;
Interesting enough, the ORDER BY clause does accepts aliases directly.

You must use Where b.unitprice*b.quantity > 25000 instead of having Amount > 25000.
Having used for aggregate conditions. Your business determine your query condition. If you need to calculate sum of prices that have above value than 25000, must be use Where b.unitprice*b.quantity > 25000 and if you need to show customer that have total price above than 25000 must be use having Amount > 25000 in your query.
select top(5) a.customerid, sum(b.unitprice*b.quantity) as Amount, max(c.orderdate) as Orderdate
from customers a
JOIN orders c ON a.customerid = c.customerid
join [order details] b ON c.orderid = b.orderid
group by a.customerid
having sum(b.unitprice*b.quantity) > 25000 --works, but I don't think that this is a good solution
Order by Amount

I don't have that schema at hand, so table' and column' names might go a little astray, but the principle is the same:
select top (5) ord2.*
from (
select top (1) ord.CustomerId
from dbo.Orders ord
inner join dbo.[Order Details] od on od.OrderId = ord.OrderId
group by ord.CustomerId
having sum(od.unitPrice * od.Quantity) > $25000
) sq
inner join dbo.Orders ord2 on ord2.CustomerId = sq.CustomerId
order by ord2.OrderDate desc;

The Having Clause will works with aggregate function like SUM,MAX,AVG..
You may try like this
SELECT TOP 5 customerid,SUM(Amount)Amount , MAX(Orderdate) Orderdate
FROM
(
SELECT A.customerid, (B.unitprice * B.quantity) As "Amount", C.orderdate As Orderdate
FROM customers A JOIN orders C ON A.customerid = C.customerid
JOIN [order details] B ON C.orderid = B.orderid
) Tmp
GROUP BY customerid
HAVING SUM(Amount) > 25000
ORDER BY Orderdate DESC

The question is little ambiguos.
Show the most recent five orders that were purchased by a customer who
has spent more than $25,000 with Northwind.
Is it asking to show the 5 recent orders by all the customers who have spent more than $25,000 in all of their transactions (which can be more than 5).
The following query shows all the customers who spent $25000 in all of their transactions (not just the recent 5).
In one of the Subquery BigSpenders it gets all the Customers who spent more than $25000.
Another Subquery calculates the total amount for each order.
Then it gets rank of all the orders by OrderDate and OrderID.
Then it filters it by Top 5 orders for each customer.
--
SELECT *
FROM (SELECT C.customerid,
C.orderdate,
C.orderid,
B3.amount,
Row_number()
OVER(
partition BY C.customerid
ORDER BY C.orderdate DESC, C.orderid DESC) Rank
FROM orders C
JOIN
--Get Amount Spend Per Order
(SELECT b2.orderid,
Sum(b2.unitprice * b2.quantity) AS Amount
FROM [order details] b2
GROUP BY b2.orderid) B3
ON C.orderid = B3.orderid
JOIN
--Get Customers who spent more than 25000
(SELECT c.customerid
FROM orders c
JOIN [order details] b
ON c.orderid = b.orderid
GROUP BY c.customerid
HAVING Sum(b.unitprice * b.quantity) > 25000) BigSpenders
ON C.customerid = BigSpenders.customerid) X
WHERE X.rank <= 5

Related

How to replace a join with subquery and cte?

Hello i'm practicing multi options for each question I solve.
I want to transform this query with join into a query with subqueries and another query with cte.
however I'm finding it hard to do so:
SELECT
C.CompanyName, MAX(OD.UnitPrice*OD.Quantity)MaxOdPrice,
MIN(OD.UNITPRICE*OD.Quantity) MinOdPrice
FROM [Order Details] OD
JOIN Orders O ON OD.OrderID=O.OrderID
JOIN Customers C ON O.CustomerID=C.CustomerID
GROUP BY C.CompanyName
thanks
You will still need JOINS but here's a simplistic CTE that I hope may give some ideas on how to proceed further
;With cteCustomers
AS(
SELECT X.CustomerID, X.CompanyName
FROM Customers X
)
SELECT
C.CompanyName, MAX(OD.UnitPrice*OD.Quantity)MaxOdPrice,
MIN(OD.UNITPRICE*OD.Quantity) MinOdPrice
FROM [Order Details] OD
JOIN Orders O ON OD.OrderID=O.OrderID
JOIN cteCustomers C ON O.CustomerID=C.CustomerID
GROUP BY C.CompanyName
completely untested but I think something like this can do it without joins.
select C.CompanyName,
max(select MAX(UnitPrice * Quantity)
from [Order Details]
where OrderID in (select distinct OrderID
from Orders
where CustomerID in (select CustomerID
from Customers innerC
where innerC.CompanyName = C.CompanyName
)
)
group by OrderID
) AS MaxOdPrice
FROM Customers C
GROUP BY C.CompanyName
I'm only showing MaxOdPrice.

SQL Query to retrieve total order count for each user

Write an SQL command that retrieves last name and first name of all customers and the order numbers of orders they have placed…
CustDetails TABLE: http://prntscr.com/msicdp
OrderDetails TABLE: http://prntscr.com/msichp
I am trying to display list of all users from CustDetails (table), with an additional column, "TotalOrders", that counts how many orders each user have from OrderDetails (table) with COUNT(*), but it seems like I have no idea what am I doing.
I've tried LEFT JOIN paired with COUNT(*) AS [Total Orders] and I am getting all kind of errors whatever I try
SELECT DISTINCT CustDetails.*, OrderDetails.CustRef,COUNT(*) AS [Order_number]
FROM CustDetails
LEFT JOIN OrderDetails ON CustDetails.CustRef = OrderDetails.CustRef
GROUP BY CustDetails.FName
--SELECT CustDetails.CustRef, count(*) AS NUM
-- FROM CustDetails GROUP BY CustRef
You can't put * with GROUP BY. If you are using GROUP BY, all non-aggregated columns should be present in your GROUP BY clause.
You need to write your query like the following.
select c.CustRef,
c.LName,
c.Fname,
sum(case when od.CustRef is null then 0 else 1 end) TotalOrders
from CustDetails c
left join OrderDetails od on od.CustRef =c.CustRef
group by c.CustRef ,c.LName, C.Fname
In case you need all the columns you can try like the following without GROUP BY.
select *,
(select count(*) from OrderDetails od where od.CustRef =c.CustRef) TotalOrders
from CustDetails c
Another way of doing it using PARTITION BY
select * from
(
select c.*,
sum(case when od.CustRef is null then 0 else 1 end) over(partition by c.CustRef) as TotalOrders,
row_number() over (partition by c.CustRef order by (select 1)) rn
from CustDetails c
left join OrderDetails od on od.CustRef =c.CustRef
) t
where rn=1

subquery to retrieve a query

My Sales.Customer table includes the following columns:
CustomerID (integer)
FirstName (nvarchar(50))
LastName (nvarchar(50))
My Sales.SalesOrder table includes the following columns:
SalesOrderNumber (integer)
OrderDate (date)
CustomerID (integer)
Amount (money)
Some customers have placed multiple orders over a period of years. I've written the following query to retrieve the last date on which each customer placed an order:
SELECT c.CustomerID, c.FirstName, c.LastName,
-- correlated subquery goes here
AS LastOrderDate
FROM Sales.Customer AS c;
Why does my subquery not complete my actual query? Am I missing something or should it be something different?
(SELECT MAX(o.OrderDate)
FROM Sales.SalesOrder AS o
WHERE o.CustomerID = c.CustomerID)
I considered whether I might be over-complicating my solution so maybe this should work instead?
(SELECT MAX(c.OrderDate)
FROM Sales.Customer AS c)
You should be able to rewrite it as a CTE like this.
;WITH LastOrderDate AS
(
SELECT CustomerID,MAX(OrderDate) AS LastOrderDate
FROM Sales.SalesOrder
GROUP BY CustomerID
)
SELECT c.CustomerID, c.FirstName, c.LastName, LastOrderDate
AS LastOrderDate
FROM Sales.Customer AS c
LEFT JOIN LastOrderDate l
ON c.CustomerID = l.CustomerID;

create sql query to fetch repeat column values within time frame

Can someone help me with this query? I want to get the result of all the customer_id which repeats more than once in 24hrs
SELECT
O.Order_No, O.Customer_ID, O.DateOrdered, O.IPAddress,
C.FirstName, C.LastName, CD.nameoncard
FROM
Order_No O
INNER JOIN
CardData CD ON O.card_id = CD.id
INNER JOIN
Customers C ON O.customer_id = C.customer_id
ORDER BY
O.order_no desc
adding more details..
so suppose order with customer id xx was placed on 04/23 2:30 pm and again 2nd order was placed with same customer Id xx on same day 04/23 5:30 pm.
i want the query to return me customer Id xx
Thanks
select Customer_ID, CAST(DateOrdered as Date) DateOrdered, count(*) QTDE
from Order_No
group by Customer_ID, CAST(DateOrdered as Date)
having count(*) > 1
To get the customers who have orders issued after the first one, then you could use the following query:
select distinct A.Customer_ID
from Order_No A
inner join (select Customer_ID, min(DateOrdered) DateOrdered from Order_No group by Customer_ID ) B
on A.Customer_ID = B.Customer_ID
and A.DateOrdered - B.DateOrdered <= 1
and A.DateOrdered > B.DateOrdered
SQL Fiddle
To get all customers that have ANY TIME more than one order issued in period less or equal than 24h
select distinct A.Customer_ID
from Order_No A
inner join Order_No B
on A.Customer_ID = B.Customer_ID
and A.DateOrdered > B.DateOrdered
and A.DateOrdered - B.DateOrdered <= 1
SQL Fiddle
Self-join:
SELECT distinct O.Customer_ID
FROM
Order_No O
inner join Order_No o2
on o.customerID = o2.customerID
and datediff(hour, o.DateOrdered, o2.DateOrdered) between 0 and 24
and o.Order_No <> o2.Order_No
This will return all customer_IDs that have ever placed more than one order in any 24 hour period.
Edited to add the join criteria that the matching records should not be the same record. Should return customers who placed two different orders at the same time, but not customers who placed only one order.

SQL Server 2005 Syntax Help - "Select Info based upon Max Value of Sub Query"

The objective is below the list of tables.
Tables:
Table: Job
JobID
CustomerID
Value
Year
Table: Customer
CustomerID
CustName
Table: Invoice
SaleAmount
CustomerID
The Objective
Part 1: (easy) I need to select all invoice records and sort by Customer (To place nice w/ Crystal Reports)
Select * from Invoice as A inner join Customer as B on A.CustomerID = B.CustomerID
Part 2: (hard) Now, we need to add two fields:
JobID associated with that customer's job that has the Maximum Value (from 2008)
Value associated with that job
Pseudo Code
Select * from
Invoice as A
inner join Customer as B on A.CustomerID = B.CustomerID
inner join
(select JobID, Value from Jobs where Job:JobID has the highest value out of all of THIS customer's jobs from 2008)
General Thoughts
This is fairly easy to do If I am only dealing with one specific customer:
select max(JobId), max(Value) as MaxJobID from Jobs where Value = (select max(Value) from Jobs where CustomerID = #SpecificCustID and Year = '2008') and CustomerID = SpecificCustID and CustomerID = '2008'
This subquery determines the max Value for this customer in 2008, and then its a matter of choosing a single job (can't have dupes) out of potential multiple jobs from 2008 for that customer that have the same value.
The Difficulty
What happens when we don't have a specific customer ID to compare against? If my goal is to select ALL invoice records and sort by customer, then this subquery needs access to which customer it is currently dealing with. I suppose this can "sort of" be done through the ON clause of the JOIN, but that doesn't really seem to work because the sub-sub query has no access to that.
I'm clearly over my head. Any thoughts?
How about using a CTE. Obviously, I can't test, but here is the idea. You need to replace col1, col2, ..., coln with the stuff you want to select.
Inv( col1, col2, ... coln)
AS
(
SELECT col1, col2, ... coln,
ROW_NUMBER() OVER (PARTITION BY A.CustomerID
ORDER BY A.Value DESC) AS [RowNumber]
FROM Invoice A INNER JOIN Customer B ON A.CustomerID = B.CustomerID
WHERE A.CustomerID = #CustomerID
AND A.Year = #Year
)
SELECT * FROM Inv WHERE RowNumber = 1
If you don't have a CustomerID, this will return the top value for each customer (that will hurt on performance tho).
The row_number() function can give you what you need:
Select A.*, B.*, C.JobID, C.Value
from
Invoice as A
inner join Customer as B on A.CustomerID = B.CustomerID
inner join (
select JobID, Value, CustomerID,
ROW_NUMBER() OVER (PARTITION BY CustomerID ORDER BY Value DESC) AS Ordinal
from Jobs
WHERE Year = 2008
) AS C ON (A.CustomerID = C.customerID AND C.Ordinal = 1)
The ROW_NUMBER() function in this query will order by value in descending order and the PARTITION BY clause will do this separately for each different value of CustomerID. This means that the highest Value for each customer will always be 1, so we can join to that value.
The over function is an awesome, but often neglected function. You can use it in a subquery to pull back your valid jobs, like so:
select
a.*
from
invoice a
inner join customer b on
a.customerid = b.customerid
inner join (select customerid, max(jobid) as jobid, maxVal from
(select customerid,
jobid,
value,
max(value) over (partition by customerid) as maxVal
from jobs
where Year = '2008') s
where s.value = s.maxVal
group by customerid, maxVal) c on
b.customerid = c.customerid
and a.jobid = c.jobid
Essentially, that first inner query looks like this:
select
customerid,
jobid,
value,
max(value) over (partition by customerid) as maxVal
from jobs
where Year = '2008'
You'll see that this pulls back all of the jobs, but with that additional column which lets you know what the maximum value is for each customer. With the next subquery, we filter out any rows that have value and maxVal equal. Additionally, it finds the max JobID based on customerid and maxVal, because we need to pull back one and only one JobID (as per the requirements).
Now, you have a complete listing of CustomerID and JobID that meet the conditions of having the highest JobID that contains the maximum Value for that CustomerID in a given year. All that's left is to join it to Invoice and Customer, and you're good to go.
Just to be complete with the non row_number solution for those < MSSQL 2005. Personanly, I find it easier to follow myslef...but that could be biased considering how much time I spend in MSSQL 2000 vs 2005+.
SELECT *
FROM Invoice as A
INNER JOIN Customer as B ON
A.CustomerID = B.CustomerID
INNER JOIN (
SELECT
CustomerId,
--MAX in case dupe Values.
==If UC on CustomerId, Value (or CustomerId, Year, Value) then not needed
MAX(JobId) as JobId
FROM Jobs
JOIN (
SELECT
CustomerId,
MAX(Value) as MaxValue
FROM Jobs
WHERE Year = 2008
GROUP BY
CustomerId
) as MaxValue ON
Jobs.CustomerId = MaxValue.CustomerId
AND Jobs.Value = MaxValue.MaxValue
WHERE Year = 2008
GROUP BY
CustomerId
) as C ON
B.CustomerID = C.CustomerID

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