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
Related
I'm using Firebird 3. There are 'sellers' master table for my contragent sellers, detailed 'Doc' table for goods income documents and subdetail table 'paym' for payments.
Seller: Seller_id, seller
Docs: doc_id, doc_summa, part_id
Paym: paid_id, doc_id, paid
Seller:
seller_id
seller
8
Firm1
45
Firm2
Docs:
doc_id
doc_summa
seller_id
346
1000
8
347
600
45
348
800
45
Paym:
paym_id
doc_id
paid
1
346
100
2
346
100
3
347
200
4
348
100
5
348
50
My aim is to get my residual debts(income-payment) like this:
seller_id
summa
paid
debt
8
1000
200
800
45
1400
350
1050
but get this multiplied, wrong summas:
seller_id
summa
paid
debt
8
2000
200
800
45
2200
350
1850
SELECT
s.seller_id,
sum(d.doc_summa) as summa,
sum(p.paid) as paid,
sum(d.doc_summa)-sum(p.paid) as debt
FROM seller s Left Join Docs d on s.seller_id=d.seller_id
Left Join paym p on p.doc_id= d.doc_id
GROUP BY s.seller_id
What is wrong in my SQL code?
The problem with your query is that because there are multiple payments for doc_ids 346 and 348, you will have two rows with a doc_summa of 1000 and 800 respectively, when you then sum them, the total becomes 2000 for seller_id 8 and 2200 for seller_id 45.
To solve this, you need to consolidate (sum) the payments before joining with docs. For example like the following:
with consolidated_paym as (
select
doc_id,
sum(paid) as total_paid
from paym
group by doc_id
)
select
s.seller_id,
sum(d.doc_summa) as summa,
sum(p.total_paid) as paid,
sum(d.doc_summa - p.total_paid) as debt
from seller s
left join docs d
on d.seller_id = s.seller_id
left join consolidated_paym as p
on p.doc_id = d.doc_id
group by s.seller_id
Fiddle: https://dbfiddle.uk/6_vyCu0w
I have 3 tables
Payments
PaymntID
Date
Amount
1
Ago.2021
500
2
Sep.2021
1200
3
Oct.2021
600
CashPayments
PaymntID
Amount
1
500
2
400
3
200
CreditCardPayments
PaymntID
Amount
CreditCard
2
450
Visa
2
350
MC
3
400
Visa
I need to get the PaymentID, date, amount payed in cash and amount payed in creditcard, but with the following query I'm getting duplicates.
Just a quick note, I can have two different credit cards used in one payment, but I can also have 2 different "cash payments" used in one payment.
Query:
select
PA.DATE AS PaymntDate,
PA.PaymntID AS PaymntID,
CP.amount AS CashAmount,
CCP.amount AS CreditAmount,
from Payments PA
LEFT join CashPayments CP on PA.PaymntID = CP.PaymntID
LEFT join CreditCardPayments CCP on PA.PaymntID = CCP.PaymntID
I'm getting the following result:
Result
PaymntID
PaymntDate
CashAmount
CreditAmount
1
Ago.2021
500
null
2
Sep.2021
400
450
2
Sep.2021
400
350
3
Oct.2021
200
400
So in this case, the cashpayment in paymntid 2 is duplicated. What I need is the following table:
Result
PaymntID
PaymntDate
CashAmount
CreditAmount
1
Ago.2021
500
null
2
Sep.2021
400
800
3
Oct.2021
200
400
You need to aggregate the values for each ID before joining. Probably the most succinct way is to use a CTE and then outer join each to your payments table, something like the following:
with cp as (
select paymentId, Sum(Amount) Amount
from CashPayments
group by PaymentId
), ccp as (
select paymentId, Sum(Amount) QAmount
from CreditCardPayments
group by PaymentId
)
select p.PaymentId, p.Date,
Coalesce(cp.Amount,0) CashAmount,
Coalesce(ccp.Amount,0) CreditAmount
from Payments p
left join cp on cp.PaymentId = p.PaymentId
left join ccp on ccp.PaymentId = p.PaymentId
I have the 2 following tables
Tracking
tracking_id item_extension quantity
a 144 100
b 144 200
c 250 150
Account
tracking_id account
a 999
b 999
c 999
Here's my query -
SELECT sum(qty) as qty, count(item_extension) as total, t.tracking_id, item_extension, account
FROM Tracking t
INNER JOIN Account a ON t.tracking_id = a.tracking_id
GROUP BY t.tracking_id, item_extension, account
What I want to happen here is get count of item_extension and sum of quantity based on matching account/item_extension fields. So because there are 2 rows with matching account and item_extension fields, it should sum up 2 of them like so:
qty total tracking_id item_extension account
300 2 a 144 999
300 2 b 144 999
150 1 c 250 999
Instead I get this result:
qty total tracking_id item_extension account
100 1 a 144 999
200 1 b 144 999
150 1 c 250 999
Is there a good way of doing this?
You want to count item_extension values that are not in the current row. So, use window functions. I think this does what you want:
SELECT sum(qty) as qty,
sum(count(*)) over (partition by item_extension) as total,
t.tracking_id, item_extension, account
FROM Tracking t
INNER JOIN Account a ON t.tracking_id = a.tracking_id
GROUP BY t.tracking_id, item_extension, account;
I have been searching the forum and found a single post that is a little smilair to my problem here: Calculate average for Top n combined with SQL Group By.
My situation is:
I have a table tblWEIGHT that contains: ID, Date, idPONR, Weight
I have a second table tblSALES that contains: ID, Date, Sales, idPONR
I have a third table tblPONR that contains: ID, PONR, idProduct
And a fouth table tblPRODUCT that contais: ID, Product
The linking:
tblWEIGHT.idPONR = tblPONR.ID
tblSALES.idPONR = tblPONR.ID
tblPONR.idProduct = tblPRODUCT.ID
The maintable of my query is tblSALES. I want to all my sales listed, with the moving average of the top5
weights of the PRODUCT where the date of the weight is less than the sales date, and the product is the same as the sold product. Its IMPORTANT that the result isn't grouped by the date. I need all the records of tblSALES.
i have gotten as far as to get the top 1 weight, but im not able to get the moving average instread.
The query that gest the top 1 is the following, and i am guessing that the query i need is going to look a lot like it.
SELECT tblSALES.ID, tblSALES.Dato, tblPONR.idPRODUCT,
(
SELECT top 1 Weight FROM tblWEIGHT INNER JOIN tblPONR ON tblWeight.idPONR = tblPONR.ID
WHERE tblPONR.idPRODUCT = idPRODUCT AND
SALES.Date > tblWEIGHT.Date
ORDER BY tblWEIGHT.Date desc
) AS LatestWeight
FROM tblSALES INNER JOIN VtblPONR ON tblSALES.idPONR = tblPONR.ID
this is not my exact query since im danish and i wouldnt make sense. I know im not supposed to use Date as a fieldname.
i imagine the filan query would be something like:
SELECT tblSALES.ID..... avg(SELECT TOP 5 weight .........)
but doing this i keep getting error at max 1 record can be returned by this subquery
Final Question.
How do i make a query that creates a moving average of the top 5 weights of my sold product, where the date of the weight is earlier than the date i sold the product?
EDIT Sampledata:
DATEFORMAT: dd/mm/yyyy
tblWEIGHT
ID Date idPONR Weight
1 01-01-2020 1 100
2 02-01-2020 2 200
3 03-01-2020 3 200
4 04-01-2020 3 400
5 05-01-2020 2 250
6 06-01-2020 1 150
7 07-01-2020 2 200
tblSALES
ID Date Sales(amt) idPONR
1 05-01-2020 30 1
2 06-01-2020 15 2
3 10-01-2020 20 3
tblPONR
ID PONR(production Number) idProduct
1 2521 1
2 1548 1
3 5484 2
tblPRODUCT
ID Product
1 Bricks
2 Tiles
Desired outcome read comments for AvgWeight
tblSALES.ID tblSALES.Date tblSales.Sales(amt) AvgWeigt
1 05-01-2020 30 123 -->avg(top 5 newest weight of both idPONR 1 And 2 because they are the same product, and where tblWeight.Date<05-01-2020)
2 06-01-2020 15 123 -->avg(top 5 newest weight of both idPONR 1 And 2 because they are the same product, and where tblWeight.Date<06-01-2020)
3 10-01-2020 20 123 -->avg(top 5 newest weight of idPONR 3 since thats the only idPONR with that product, and where tblWeight.Date<10-01-2020)
Consider:
Query1
SELECT tblWeight.ID AS WeightID, tblWeight.Date AS WtDate,
tblWeight.idPONR, tblPONR.PONR, tblPONR.idProduct, tblWeight.Weight, tblSales.SalesAmt,
tblSales.ID AS SalesID, tblSales.Date AS SalesDate
FROM (tblPONR INNER JOIN tblWeight ON tblPONR.ID = tblWeight.idPONR)
INNER JOIN tblSales ON tblPONR.ID = tblSales.idPONR;
Query2
SELECT * FROM Query1 WHERE WeightID IN (
SELECT TOP 5 WeightID FROM Query1 AS Dupe WHERE Dupe.idProduct = Query1.idProduct
AND Dupe.WtDate<Query1.SalesDate ORDER BY Dupe.WtDate);
Query3
SELECT Query2.SalesID, Query2.SalesDate, Query2.SalesAmt,
First(DAvg("Weight","Query2","idProduct=" & [idProduct] & " AND WtDate<#" & [SalesDate] & "#")) AS AvgWt
FROM Query2
GROUP BY Query2.SalesID, Query2.SalesDate, Query2.SalesAmt;
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