SQL Select Query into another query - sql

I am a beginner with SQL so apologise in advance if my terminology / coding is a little off, or maybe way off.
I have two queries which I would like to join into one. The first creating a list of productids which contain two specific processes.
I then want to use these productids in the second query.
Also is below correct?
group by products.productid having (sum(case when processid like 'pick%' then 1 else 0 end) + sum(case when processid like 'pack%' then 1 else 0 end) = 2)
Any help would be much appreciated, hope this makes sense.
SELECT
Products.ProductID
FROM Products
INNER JOIN Categories ON Products.Category = Categories.Category
INNER JOIN Boms ON Products.Product = Boms.Product AND Boms.BomVersion = Products.BomVersion
LEFT OUTER JOIN Products AS Comp ON Boms.Component = Comp.Product
LEFT OUTER JOIN Processes ON Boms.Process = Processes.Process
WHERE
products.active = 1
and Categorys.Categoryid in ('5','20')
group by products.productid
having (sum(case when processid like 'pick%' then 1 else 0 end) + sum(case when processid like 'pack%' then 1 else 0 end) = 2)
order by products.productid
SELECT
Products.ProductID,
Products.productdescription,
Boms.Type As Type,
Comp.ProductId as Component,
Comp.productdescription,
Boms.Quantity,
BomVersions.BomVersionID,
Processes.processid,
Processes.ProcessDescription
FROM Products
INNER JOIN Categories ON Products.Category = Categories.Category
INNER JOIN Boms ON Products.Product = Boms.Product AND Boms.BomVersion = Products.BomVersion
LEFT OUTER JOIN Products AS Comp ON Boms.Component = Comp.Product
LEFT OUTER JOIN Processes ON Boms.Process = Processes.Process
INNER JOIN BomVersions ON Products.BomVersion = BomVersions.BomVersion
WHERE
products.active = 1
order by products.productid, products.type,comp.productid

To combine them you could do the following.
SELECT b.*
FROM
(SELECT Products.ProductID FROM Products INNER JOIN ...) AS a
INNER JOIN
(SELECT Products.ProductID, Products.productdescription, Boms.Type As Type, ...) AS b
ON a.ProductID = b.ProductID

Related

I'm Getting Count of a column same for all rows?How to count occurrences of a column value efficiently in SQL?

Select
Sales_Detail.Serial_No
,Sales_Detail.Tax_Percentage
,Card_Amount
,Cash_Amount
,ISNULL((Select Count(DISTINCT Tax_Percentage) From Sales_Detail
Left Join Sales_Master ON
Sales_Master.Serial_No=Sales_Detail.Serial_No
Where Sales_Master.Invoice_Date = '14-Feb-2019'
And IsSaved='True'And IsCancelled = 'False'
And Card_Amount >0 Or Sales_Master.Cash_Amount>0
And Sales_Detail.Serial_No=10467),1) As Count_Tax
From Sales_Detail
Inner Join Item_Master On Sales_Detail.Item_ID = Item_Master.Item_ID
Inner Join Item_Brand On Item_Master.Brand_ID = Item_Brand.Brand_ID
Inner Join Sales_Master On Sales_Detail.Serial_No=Sales_Master.Serial_No
left Join Customer C on C.Customer_ID =Sales_Master.Customer_ID
Inner Join Tax On Tax.Tax_Percentage=Sales_Detail.Tax_Percentage
Where Sales_Master.Invoice_Date = '14-Feb-2019' And IsSaved = 'True'
And IsCancelled = 'False'
order by Sales_Detail.SGST_Percentage ,Tax_Percentage
While taking count from above query.
I'm getting count as 2 for all row .Why is it so??
If above select in the query expected the output count as 2 for all rows ,
But actually I want to set count as 1 for serial No 10467 and count as 2 for serial No 10468.
Select
Count(DISTINCT Tax_Percentage)
From Sales_Detail
Left Join Sales_Master ON Sales_Master.Serial_No=Sales_Detail.Serial_No
Where Sales_Master.Invoice_Date = '14-Feb-2019'
And IsSaved='True'And IsCancelled = 'False'
And Card_Amount >0 Or Sales_Master.Cash_Amount>0
And Sales_Detail.Serial_No=10467
enter image description here
In your select you are hardcoding the Searial_No And Sales_Detail.Serial_No=10467 so for each row you will get the same value.
Change your like following.
Select
Sales_Detail.Serial_No
,Sales_Detail.Tax_Percentage
,Card_Amount
,Cash_Amount
,ISNULL((Select Count(DISTINCT Tax_Percentage) From Sales_Detail SD
Left Join Sales_Master ON
Sales_Master.Serial_No=SD.Serial_No
Where Sales_Master.Invoice_Date = '14-Feb-2019'
And IsSaved='True'And IsCancelled = 'False'
And Card_Amount >0 Or Sales_Master.Cash_Amount>0
And SD.Serial_No=Sales_Detail.Serial_No
),1) As Count_Tax
From Sales_Detail
Inner Join Item_Master On Sales_Detail.Item_ID = Item_Master.Item_ID
Inner Join Item_Brand On Item_Master.Brand_ID = Item_Brand.Brand_ID
Inner Join Sales_Master On Sales_Detail.Serial_No=Sales_Master.Serial_No
left Join Customer C on C.Customer_ID =Sales_Master.Customer_ID
Inner Join Tax On Tax.Tax_Percentage=Sales_Detail.Tax_Percentage
Where Sales_Master.Invoice_Date = '14-Feb-2019' And IsSaved = 'True'
And IsCancelled = 'False'
order by Sales_Detail.SGST_Percentage ,Tax_Percentage
Suggestion : As a good practice always use alias names for your table so that it can be easily used at multiple places without confusion.

Oracle SQL How to Count Column Value Occurences and Group BY during joins

I'm working on another SQL query, trying to group a collection of records while doing a count and joining tables. See below for goal, current query, and attached scripts for building and populating tables.
Show all customers who have checked more books than DVDs. Display
customer name, total book checkouts and total DVD checkouts. Sort
results by customer first name and last name.
SELECT C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME, COUNT(T.TRANSACTION_ID)
FROM customer C
INNER JOIN library_card LC ON C.CUSTOMER_ID = LC.CUSTOMER_ID
INNER JOIN transaction T ON LC.LIBRARY_CARD_ID = T.LIBRARY_CARD_ID
INNER JOIN physical_item P ON T.PHYSICAL_ITEM_ID = P.PHYSICAL_ITEM_ID
INNER JOIN catalog_item CT ON P.CATALOG_ITEM_ID = CT.CATALOG_ITEM_ID
GROUP BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME
ORDER BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME;
Run first: https://drive.google.com/open?id=1PYAZV4KIfZtxP4eQn35zsczySsxDM7ls
Run second: https://drive.google.com/open?id=1pAzWmJqvD3o3n6YJqVUM6TtxDafKGd3f
EDIT
With some help from Mr. Barbaros I've come up with the below query, which is closer. However, this query isn't returning any results for DVDs, which leads me to believe it's a join issue.
SELECT C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME, COUNT(CT1.TYPE) AS BOOK_COUNT, COUNT(CT2.TYPE) AS DVD_COUNT
FROM customer C
INNER JOIN library_card LC ON C.CUSTOMER_ID = LC.CUSTOMER_ID
INNER JOIN transaction T ON LC.LIBRARY_CARD_ID = T.LIBRARY_CARD_ID
INNER JOIN physical_item P ON T.PHYSICAL_ITEM_ID = P.PHYSICAL_ITEM_ID
INNER JOIN catalog_item CT1 ON P.CATALOG_ITEM_ID = CT1.CATALOG_ITEM_ID AND CT1.TYPE = 'BOOK'
LEFT OUTER JOIN catalog_item CT2 ON P.CATALOG_ITEM_ID = CT2.CATALOG_ITEM_ID AND CT2.TYPE = 'DVD'
GROUP BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME, CT1.TYPE, CT2.TYPE
ORDER BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME;
Use "conditional aggregates" (use a case expression inside the aggregate function)
SELECT
C.CUSTOMER_FIRSTNAME
, C.CUSTOMER_LASTNAME
, COUNT( CASE WHEN CT.TYPE = 'BOOK' THEN T.TRANSACTION_ID END ) books
, COUNT( CASE WHEN CT.TYPE = 'DVD' THEN T.TRANSACTION_ID END ) dvds
FROM customer C
INNER JOIN library_card LC ON C.CUSTOMER_ID = LC.CUSTOMER_ID
INNER JOIN transaction T ON LC.LIBRARY_CARD_ID = T.LIBRARY_CARD_ID
INNER JOIN physical_item P ON T.PHYSICAL_ITEM_ID = P.PHYSICAL_ITEM_ID
INNER JOIN catalog_item CT ON P.CATALOG_ITEM_ID = CT.CATALOG_ITEM_ID
GROUP BY
C.CUSTOMER_FIRSTNAME
, C.CUSTOMER_LASTNAME
HAVING
COUNT( CASE WHEN CT.TYPE = 'BOOK' THEN T.TRANSACTION_ID END )
> COUNT( CASE WHEN CT.TYPE = 'DVD' THEN T.TRANSACTION_ID END )
ORDER BY
C.CUSTOMER_FIRSTNAME
, C.CUSTOMER_LASTNAME
;
You can use catalog_item table twice( think of as seperate tables for books and dvds ), and compare by HAVING clause as :
SELECT C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME,
COUNT(CT1.CATALOG_ITEM_ID) as "Book Checkout",
COUNT(CT2.CATALOG_ITEM_ID) as "DVD Checkout"
FROM customer C
INNER JOIN library_card LC ON C.CUSTOMER_ID = LC.CUSTOMER_ID
INNER JOIN transaction T ON LC.LIBRARY_CARD_ID = T.LIBRARY_CARD_ID
INNER JOIN physical_item P ON T.PHYSICAL_ITEM_ID = P.PHYSICAL_ITEM_ID
LEFT JOIN catalog_item CT1 ON P.CATALOG_ITEM_ID = CT1.CATALOG_ITEM_ID AND CT1.TYPE = 'BOOK'
LEFT JOIN catalog_item CT2 ON P.CATALOG_ITEM_ID = CT2.CATALOG_ITEM_ID AND CT1.TYPE = 'DVD'
GROUP BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME
HAVING COUNT(CT1.CATALOG_ITEM_ID) > COUNT(CT2.CATALOG_ITEM_ID)
ORDER BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME;
CUSTOMER_FIRSTNAME CUSTOMER_LASTNAME Book Checkout DVD Checkout
------------------ ----------------- ------------- -------------
Deena Pilgrim 3 1
Emile Cross 5 2
Please try to remove ,CT1.TYPE, CT2.TYPE on your group by clause.

Sum a Single column into multiple columns based on criteria SQL Server

Right now I am collecting a sum of times based on grouping by a part, job, machine, and type.
I would like to have the summed times to be split across multiple columns rather than multiple rows based on the type. How can I do this?
Here is my code
SELECT
m.[machineName]
,pr.[jobNumber]
,p.[partNumber]
,sc.[type]
,SUM(pl.[elapsedTime]) AS elapsedTime
FROM wincc.dbo.productionLog pl
INNER JOIN wincc.dbo.machines m ON pl.[machineId] = m.id
INNER JOIN wincc.dbo.productionRuns pr ON pl.[productionRunId] = pr.id
INNER JOIN wincc.dbo.parts p ON pr.[partId] = p.Id
INNER JOIN wincc.dbo.statusCodes sc ON pl.[statusCodeId] = sc.id
GROUP BY
m.[machineName]
,pr.[jobNumber]
,p.[partNumber]
,sc.[type]
Which produces:
But I want:
Thank you All!
This is a form of table pivoting. Here's one way to do that with conditional aggregation:
SELECT
m.[machineName]
,pr.[jobNumber]
,p.[partNumber]
,SUM(CASE WHEN sc.Type = 'planned downtime' then pl.[elapsedTime] END) AS plannedDT
,SUM(CASE WHEN sc.Type = 'unplanned downtime' then pl.[elapsedTime] END) AS unplannedDT
,SUM(CASE WHEN sc.Type = 'production' then pl.[elapsedTime] END) AS production
,SUM(CASE WHEN sc.Type = 'rework' then pl.[elapsedTime] END) AS rework
FROM wincc.dbo.productionLog pl
INNER JOIN wincc.dbo.machines m ON pl.[machineId] = m.id
INNER JOIN wincc.dbo.productionRuns pr ON pl.[productionRunId] = pr.id
INNER JOIN wincc.dbo.parts p ON pr.[partId] = p.Id
INNER JOIN wincc.dbo.statusCodes sc ON pl.[statusCodeId] = sc.id
GROUP BY
m.[machineName]
,pr.[jobNumber]
,p.[partNumber]

Add or subtract from total using CASE conditions in SQLite

I need a query that subtracts or adds according to a condition for SQLite using the CASE statement. This is my query at the moment:
SELECT s.companyName, CASE ia.type
WHEN ia.type='add' THEN SUM(ia.quantity)
WHEN ia.type='subtract' THEN SUM(-ia.type)
ELSE SUM(0) END AS total
FROM stocktake s
LEFT JOIN stocktake_adjustment sa ON s.stocktakeId = sa.stocktakeId
LEFT JOIN adjustment a ON a.adjustmentId = sa.adjustmentId
LEFT JOIN inventory_adjustment ia ON ia.adjustmentId = a.adjustmentId
LEFT JOIN inventory i ON i.inventoryId = ia.inventoryId
LEFT JOIN supplier s ON s.supplierId = i.supplierId
WHERE s.supplierId = '4da99b63-fcb9-9b9f-8415-4896caeb920c';
Basically I want to add if the condition is 'add' or subtract if condition is subtract, from the total.
Thank you in advance guys.
Move your CASE into SUM:
SELECT s.companyName, SUM(CASE ia.type
WHEN ia.type='add' THEN ia.quantity
WHEN ia.type='subtract' THEN -ia.quantity
ELSE 0
END)
AS total
FROM stocktake s
LEFT JOIN stocktake_adjustment sa ON s.stocktakeId = sa.stocktakeId
LEFT JOIN adjustment a ON a.adjustmentId = sa.adjustmentId
LEFT JOIN inventory_adjustment ia ON ia.adjustmentId = a.adjustmentId
LEFT JOIN inventory i ON i.inventoryId = ia.inventoryId
LEFT JOIN supplier s ON s.supplierId = i.supplierId
WHERE s.supplierId = '4da99b63-fcb9-9b9f-8415-4896caeb920c';
(I assumed that -ia.type in the original question was a typo, really meaning -ia.quantity)
I think what you need is to move the CASE statement inside the SUM, remove ia.type from between CASE and WHEN (or change to a simple CASE statement), and also add GROUP BY:
SELECT s.companyName,
SUM(CASE WHEN ia.type = 'add' THEN ia.Quantity
WHEN ia.type = 'subtract' THEN -ia.Quantity
ELSE 0
END) AS total
FROM stocktake s
LEFT JOIN stocktake_adjustment sa
ON s.stocktakeId = sa.stocktakeId
LEFT JOIN adjustment a
ON a.adjustmentId = sa.adjustmentId
LEFT JOIN inventory_adjustment ia
ON ia.adjustmentId = a.adjustmentId
LEFT JOIN inventory i
ON i.inventoryId = ia.inventoryId
LEFT JOIN supplier s
ON s.supplierId = i.supplierId
WHERE s.supplierId = '4da99b63-fcb9-9b9f-8415-4896caeb920c'
GROUP BY s.CompanyName;

How could I combine these 3 T-SQL statements into one?

I have 3 queries that I want to combine. 1 query is for total sales, 1 is for canceled orders, and 1 is for orders that don't include specific product types. Just need the total sales $$ to output in a table format as they are now. The only thing that changes between the 3 is the where statement. Thanks!
Edit: I realize I said "Just need the total sales $$" ... what I meant was I just need the sales $$ for each query in one table. So $x, $y, $z ... x is the total sales, y is the sales dollars that got cancelled, and z is the sales dollars for the specific items.
SELECT Sum((Items.Total+Items.Shipping)*OrderDetails.Quantity) AS Total
FROM Promo INNER JOIN (Orders INNER JOIN (Items INNER JOIN OrderDetails ON Items.ItemCode = OrderDetails.ItemCode) ON Orders.OrderNumber = OrderDetails.OrderNumber) ON Promo.Promo = Orders.Promo
WHERE ((Promo.OfferType)='Sale') AND ((Items.Date) Between '6/1/2010' And '12/31/2011');
SELECT Sum((Items.Total+Items.Shipping)*OrderDetails.Quantity) AS Canceled
FROM Promo INNER JOIN (Orders INNER JOIN (Items INNER JOIN OrderDetails ON Items.ItemCode = OrderDetails.ItemCode) ON Orders.OrderNumber = OrderDetails.OrderNumber) ON Promo.Promo = Orders.Promo
WHERE (((Promo.OfferType)='Sale') AND ((Items.Date) Between '6/1/2010' And '12/31/2011') AND ((Items.Status)="Canceled"));
SELECT Sum((Items.Total+Items.Shipping)*OrderDetails.Quantity) AS BadItems
FROM Promo INNER JOIN (Orders INNER JOIN (Items INNER JOIN OrderDetails ON Items.ItemCode = OrderDetails.ItemCode) ON Orders.OrderNumber = OrderDetails.OrderNumber) ON Promo.Promo = Orders.Promo
WHERE (((Promo.OfferType)='Sale') AND ((Items.Date) Between '6/1/2010' And '12/31/2011') AND ((Items.ProductType)<>2) AND ((Items.ProductType)<>6));
Thanks!
If you want the results on 1 row:
SELECT Total, Canceled, BadItems
FROM Query1, Query2, Query3
And if you want the results in 1 column, use a UNION:
Query1
UNION
Query2
UNION
Query3
Updated to reflect question clarification:
SELECT Sum(CASE WHEN Items.Status <> 'Canceled' AND Items.ProductType = 4 THEN (Items.Total+Items.Shipping)*OrderDetails.Quantity ELSE 0 END) AS Total ,
Sum(CASE WHEN Items.Status = 'Canceled' AND Items.ProductType = 4 THEN (Items.Total+Items.Shipping)*OrderDetails.Quantity ELSE 0 END) AS Canceled,
Sum(CASE WHEN Items.ProductType <> 4 THEN (Items.Total+Items.Shipping)*OrderDetails.Quantity ELSE 0 END) AS BadItems,
FROM Promo INNER JOIN (Orders INNER JOIN (Items INNER JOIN OrderDetails ON Items.ItemCode = OrderDetails.ItemCode) ON Orders.OrderNumber = OrderDetails.OrderNumber) ON Promo.Promo = Orders.Promo
WHERE ((Promo.OfferType)='Sale') AND ((Items.Date) Between '9/1/2010' And '12/31/2010');
try to use a procedure which will accept three values as input which will suite your were statements and it will give results in one table as want. if you are stuck let me know , i will help.