I am very new to this type of complicated joins and summing functions.
I had 2 table queries which have same fields (i.e: ProdID, ProdName, NetQty, Unit)
The 1st one query contains OpStock and the 2nd one contains Purchase.
I want to add this 2 table query to make a single table so that I can able to see current stock.
The data looks like this for 1 st table is:
ProdID ProdName Qty
100 Rose 700
101 Lilly 550
103 Jasmine 600
105 Lavender 400
The data looks like this for 2nd table is:
ProdID ProdName Qty
100 Rose 400
101 Lilly 250
104 Lotus 1000
106 MariGold 400
The final data looks like this for 3rd table is:
ProdID ProdName Qty
100 Rose 1100
101 Lilly 800
103 Jasmine 600
104 Lotus 1000
105 Lavender 400
106 MariGold 400
How can i achieve this one using sql for access2003.
Thanks.
I am very sorry Ciaran,
This is purely access used for vb.net
Here Is my access query1
SELECT sp_OpenIandP_Prod.ProdID,
sp_OpenIandP_Prod.ProdName,
Sum(([sp_OpenIandP_Prod.SumOfNetQty]-[sp_OpenSales_Prod.SumOfNetQty])) AS NetQty,
sp_OpenIandP_Prod.UnitSName
FROM sp_OpenIandP_Prod
INNER JOIN sp_OpenSales_Prod ON sp_OpenIandP_Prod.ProdID=sp_OpenSales_Prod.ProdID
GROUP BY sp_OpenIandP_Prod.ProdID,
sp_OpenIandP_Prod.ProdName,
sp_OpenIandP_Prod.UnitSName;
The 1st query result would be like this:
ProdID ProdName NetQty UnitSName
1 Rose 0 Kgs
2 Lilly 7125 Mts
3 Lotus 12374 Nos
The second query is:
SELECT Products.ProdID, Products.ProdName,
Sum(OPDDetails.NetQty) AS SumOfNetQty, Units.UnitSName
FROM Units
INNER JOIN (Products
INNER JOIN (Brands
INNER JOIN OPDDetails ON Brands.BrID=OPDDetails.BrandID)
ON Products.ProdID=Brands.ProdID)
ON Units.UnitID=Products.UnitID
WHERE (((OPDDetails.PurID)>0)
AND ((OPDDetails.OPDDate)>=[StartDate] And (OPDDetails.OPDDate)<=[EndDate]))
GROUP BY Products.ProdID, Products.ProdName, Units.UnitSName;
and the result set would be like this:
ProdID ProdName SumOfNetQty UnitSName
1 Rose 1800 Kgs
2 Lilly 21000 Mts
I got the above result easily.
But it is not as much easy to get like this:
ProdID ProdName SumOfNetQty UnitSName
1 Rose 1800 Kgs
2 Lilly 28125 Mts
3 Lotus 12374 Nos
That's all. Thanks again.
This is not a vb.net question, however you need to use a UNION
Select ProdId, ProdName, Sum(Qty) As QtySum
From (Select ProdId, ProdName, Qty From TableA
Union All
Select ProdId, ProdName, Qty From TableB) DerrivedView
Group By ProdId, ProdName
You can create a UNION between your 2 queries then group by product:
SELECT ProdID, ProdName, Sum(NetQty) As NetQty, UnitSName
FROM
(
SELECT sp_OpenIandP_Prod.ProdID,
sp_OpenIandP_Prod.ProdName,
Sum(([sp_OpenIandP_Prod.SumOfNetQty]-[sp_OpenSales_Prod.SumOfNetQty])) AS NetQty,
sp_OpenIandP_Prod.UnitSName
FROM sp_OpenIandP_Prod
INNER JOIN sp_OpenSales_Prod ON sp_OpenIandP_Prod.ProdID=sp_OpenSales_Prod.ProdID
GROUP BY sp_OpenIandP_Prod.ProdID,
sp_OpenIandP_Prod.ProdName,
sp_OpenIandP_Prod.UnitSName
UNION ALL
SELECT Products.ProdID, Products.ProdName,
Sum(OPDDetails.NetQty) AS NetQty, Units.UnitSName
FROM Units
INNER JOIN (Products
INNER JOIN (Brands
INNER JOIN OPDDetails ON Brands.BrID=OPDDetails.BrandID)
ON Products.ProdID=Brands.ProdID)
ON Units.UnitID=Products.UnitID
WHERE (((OPDDetails.PurID)>0)
AND ((OPDDetails.OPDDate)>=[StartDate] And (OPDDetails.OPDDate)<=[EndDate]))
GROUP BY Products.ProdID, Products.ProdName, Units.UnitSName
)
GROUP BY ProdID, ProdName, UnitSName
Related
I am trying to get a list of donors who have cumulatively donated $5K+ between two different campaigns. My data is something like this
Attributes table
transactionid
attributevalue
123231
campaign 1
123456
campaing 2
123217
campaign 1
45623
campaing 2
65791
campaing 3
78931
campaign 4
11111
campaign 5
22222
campaing 6
Donations table
transactionid
donationamount
donorid
123231
2000
1233
123456
30000
1456
45623
8000
1233
78931
90
8521
11111
20
1233
22222
68
1456
Donor table
donorid
name
1233
John
1456
Mary
8521
Karl
This is what I tried, but the total I am getting is not right at all.
WITH test AS (
SELECT don.donorid,don.donationamount,a.attributevalue
FROM attributes table a
INNER JOIN donations don ON don.transactionid=a.transactionid
)
SELECT d.donorid,
SUM(CASE WHEN test.attributevalue='campaign 1' OR test.attributevalue='campaign 2'
THEN test.donationamount END) AS campaing_donation,
SUM(test.donationamount) AS total_donations
FROM donortable d
INNER JOIN test ON d.donorid = test.donorid
GROUP BY d.donorid
HAVING SUM(CASE WHEN test.attributevalue = 'campaign 1' OR test.attributevalue = 'campaign 2' THEN test.donationamount END) > 5000
but this is not working. My total donations sum is giving a value that is several times higher than the actual value.
Ideally, the final result would be something like this:
donorid
campaign_amount
totalamount
1233
10000
10020
1456
30000
30068
Select
sum (Donations.donationamount),
donor.donorid,
donor.name
from
Attributes
join Donations on
Donations.transactionid = attributes.transactionid
Join Donor on
donor.donorid = donations.donorid
Where
Attribute.attributevalue in ('campaign 1','campaign 2')
Group by
donor.donorid,
donor.name
create table #transection_tbl(tran_id int,attributevalue varchar(20))
create table #donation_tbl(tran_id int,donation_amount int ,donar_id int)
select donar_id,max(donation_amount) as 'campaing_amount',
sum(donation_amount) as 'totalamount'
from #transection_tbl as t1
inner join #donation_tbl as t2 on t1.tran_id=t2.tran_id
group by donar_id
having COUNT(attributevalue)=2
I am running a query on two tables that needs to return the total number of lines in each sales order and a total of the items ordered.
A simplified version of the SalesOrder table is constructed like this:
SalesOrderID
Customer
SODate
102
Bob Smith
12/15/2021
101
Jane Doe
12/05/2021
100
Sarah Joy
12/01/2021
The second table, SalesOrderLine, contains the line items in the sales order:
SalesOrderID
LineNumber
Item
Quantity
100
1
Nuts
5
100
2
Bolts
10
100
3
Washers
3
101
1
Screws
15
102
1
Nails
25
102
2
Hooks
5
The result of the query would look like this:
SalesOrderID
SODate
Customer
TotalLines
TotalItems
102
12/15/2021
Bob Smith
2
30
101
12/05/2021
Jane Doe
1
15
100
12/01/2021
Sarah Joy
3
18
I am locking up on how to use the query to return the Total Number of Lines and Total Number of Items per SalesOrderID.
SELECT SalesOrder.SalesOrderID, SalesOrder.SODate, SalesOrder.SOCustomer
?? Total Number of Lines and Total Number of Items ??
FROM SalesOrder
INNER JOIN SalesOrders ON SalesOrder.SalesOrderID = SalesOrderLine.SalesOrderID
ORDER BY SalesOrderID
You can use apply :
select so.*, soo.*
from salesorder so cross apply
( select count(*) as Totallines, sum(soo.quantity) as TotalQty
from SalesOrders soo
where soo.SalesOrderID = so.SalesOrderID
) soo;
You are almost done, except the aggregation.
Query
select so.SalesOrderID, so.SODate, so.SOCustomer,
count(sol.LineNumber) as TotalLines, sum(sol.Quantity) as TotalItems
from SalesOrder as so
join SalesOrderLine as sol
on so.SalesOrderID = sol.SalesOrderID
group by so.SalesOrderID, so.SODate, so.SOCustomer
order by SalesOrderID;
I have written a query that returns data, here is my code
SELECT o.Id, p.ProductName, po.Quantity, p.Price, DeliveryMethod,
OrderDate, TotalSum, u.UserName FROM [Order] o
JOIN ProductsOrders po ON o.Id = po.OrderId
JOIN Product p ON po.ProductId = p.Id
JOIN Users u ON o.UserId = u.Id
ORDER BY o.Id
And it returns next:
OrderId ProductName Quantity Price DeliveryMethod OrderDate TotalSum UserName
98 Bed3 1 3000 Express 2018-08-04 7015 Ivan
98 Bed4 1 4000 Express 2018-08-04 7015 Ivan
100 Bed2 1 2000 2018-08-05 2000 Ivan
101 Bed2 1 2000 2018-08-05 5000 Ivan
101 Bed3 1 3000 2018-08-05 5000 Ivan
102 Bed0 1 0 Standard 2018-09-04 1005 Ivan
We can notice that for each product - one record
But I want to group all products by one order and get something like that:
- orderId
- deliveryMethod
- userName
- product1 quantity price
- ...
- productN quantity price
- totalAmount
101
Courier
John Doe
Black bag 1 1500
Fat Bike 1 5000
Thermos bottle 5 200
Total amount 7500
How can I modify the query?
The proper way to do this, IMO, would be to select 2 datasets. First dataset containing the parent Order data, and the second containing the individual ProductsOrders (product line items) for the Orders in the first dataset.
-- Select Orders
SELECT
[o].[Id] AS [OrderId]
,[o].[DeliveryMethod]
,[o].[OrderDate]
,[u].[UserName]
FROM [Order] [o]
INNER JOIN [Users] [u] ON [o].[UserId] = [u].[Id]
WHERE
[o].[Id] IN(SomeRangeOfOrderIds) -- (Or however you'd like to filter the results)
-- Select Products (product line items)
SELECT
[p].[ProductName]
,[po].[Quantity]
,[p].[Price]
FROM [ProductsOrders] [po]
INNER JOIN [Product] [p] ON [po].[ProductId] = [p].[Id]
WHERE
[po].[OrderId] IN(SameRangeOfOrderIdsAsTheQueryAbove)
...then take those results and display them however you'd like. Will this be appearing in a report? Or on a web page?
I have just implemented this issue in LINQ. Should have noticed that there is many-to-many relationship
var orders = db.Orders.Select(o => new
{
o.Id,
o.DeliveryMethod,
o.OrderDate,
o.UserId,
o.TotalSum,
Products = o.ProductsOrders.Select(p => new { p.Product.ProductName, p.Quantity, p.Product.Price}).ToList()
}).ToList();
I need a query to return the products that have been sold most often.
I have two tables to work with.
Product
IDPRO(PK) DESCRIP STOCK PRICE
4000 PIZZA 7 2000
4001 HAMBURGUESA 8 800
4002 PAELLA 1 1000
4003 CORDERO 5 3000
4004 COMIDA CHINA 9 500
4005 ALBONDIGAS 9 500
Details
IDPRO(FK) Amount
4002 2
4003 1
4004 1
4002 3
4002 1
4003 100
4004 50
4004 3
4005 10
The result would be something like this
CORDERO
Since it is the product with the highest amount of sold units.
If you need the total quantity you could use sum and group by on the joined tables
select t1.IDPRO, t1.DESCRIP, sum(t2.Amount) total
FROM Product t1
INNER JOIN DETAILS t2 on t2.IDART = t1.IDPRO
GROUP BY t1.IDPRO, t1.DESCRIP
ORDER BY total desc
First find the sum of CANTIDAD column for each product and select top 1 row and join to table 1.
Query
select top 1 t1.IDPRO, t1.DESCRIP, t2.total
from Product t1
join (
select IDART, sum(Amount) as total
from Details
group by IDART
)t2
on t1.IDPRO = t2.IDART
order by t2.total desc;
Try somethink like this for top 1:
WITH MAIN AS(
SELECT main.IDPRO, main.DESCRIP, main.CANTIDAD from Details det
LEFT JOIN Product main ON main.IDPRO=det.IDART)
SELECT TOP 1 * from MAIN
I have a table like this:
buyer product quantity
tom skirt 2
anna skirt 3
tom jeans 5
The distinct(product) = skirt and jeans
I want a table that inserts another column with quantity = 0 when the <buyer, product> tuple does not exist for all possible products.
So the result would be:
buyer product quantity
tom skirt 2
anna skirt 3
tom jeans 5
anna jeans 0
It does not look very complicated but I don't know how to do it.
UPDATE
I have found one extra complication.
My product is actually defined by two fields: class and product. Product can be null and I need not to lose the information quantity when the product field is null (now it is happening with the cross join).
So if I have this:
buyer class product quantity
tom clothes skirt 2
anna clothes skirt 3
tom clothes jeans 5
jim shoes NULL 7
I would need:
buyer class product quantity
tom clothes skirt 2
anna clothes skirt 3
tom clothes jeans 5
anna clothes jeans 0
jim shoes NULL 7
jim clothes skirt 0
jim clothes jeans 0
tom shoes NULL 0
anna shoes NULL 0
Thank you all, I know I am complicating things!
You can use a cross join to generate all possible combinations of buyers and products. Then use a left join (or not exists) to filter out the ones already in the table:
insert into table(buyer, product, quantity)
select b.buyer, p.product, 0
from (select distinct buyer from table) b cross join
(select distinct product p from table) p left join
table t
on t.buyer = b.buyer and t.product = p.product
where t.buyer is null;
EDIT:
If you want a query that returns all the rows, then you would use something quite similar:
select b.buyer, p.product, coalesce(t.qty, 0) as qty
from (select distinct buyer from table) b cross join
(select distinct product p from table) p left join
table t
on t.buyer = b.buyer and t.product = p.product;
EDIT II:
If you have NULL values for buyer and/or product, then use NULL safe comparisons:
select b.buyer, p.product, coalesce(t.qty, 0) as qty
from (select distinct buyer from table) b cross join
(select distinct product p from table) p left join
table t
on t.buyer is not distinct from b.buyer and
t.product is not distinct from p.product;
(As a minor side note: I really do not like the use of distinct in this construct. Why did Postgres (ANSI ?) give it such a complicated name?)
The solution of #Gordon is almost full, I edit like this:
declare #tb table (buyer varchar(150), product varchar(150), quantity int)
insert into #tb
values('tom','skirt',2),
('anna','skirt',3),
('tom','jeans',5)
select *
from #tb a
left join( select
distinct(product)
from #tb) b on a.product = a.product
select b.buyer, p.p, isnull(t.quantity,0)
from (select distinct buyer from #tb) b cross join
(select distinct product p from #tb) p left join
#tb t
on t.buyer = b.buyer and t.product = p.p
--where t.buyer is null
Try it.