This is my database sample
id/cart_id/title/quantity
1 1 bbok1 2
2 2 book2 3
3 3 book1 2
So in this case I have book1 with a total of 4 sales and book2 with 3 sales.
However if I use order by quantity it would show book2 then book1.
How do I use the query or php code to get the same item and make it book1 4 sales, book2 3 sales?
SELECT
title,
SUM(quantity) AS total_sales
FROM
books
GROUP BY
title
ORDER BY
total_sales DESC
Related
What if I have table like this and I want to select the best selling product_id.
id
transaction_id
product_id
qty_sold
1
21
2
5
2
22
3
2
3
23
4
2
3
24
2
1
3
25
2
4
I want the best selling product_id with the highest qty_sold
Using SQLS, you can group by the productID, add up the number of sold, and order by the total descending. If we also take the minimum transaction ID per product, if two products come out to have the same total qty, we can take the minimum tran ID to split the tie
SELECT TOP 1 product_id, SUM(qty_sold) as sellcount, MIN(transaction_id) as firsttran
FROM t
GROUP BY product_id
ORDER BY SUM(qty_sold) DESC, MIN(transaction_id)
Once you're happy the sums are right etc, you can remove the , SUM(qty_sold) as sellcount, MIN(transaction_id) from the SELECT if you want/if you only need the prod ID
i have a table TB_Orders , i save orders in thatl ,ike below :
userid
factorid
productname
economy
vip
count
1
A-123
name1
13000
18000
3
1
A-123
name2
9000
13000
4
2
A-124
name2
2000
5000
2
For example, user 1: has registered two orders with invoice number A-123.
And user 2 has only registered one order
I want to report as follows:
userid
factorid
total economy
total vip
total count
1
A-123
21000
31000
7
2
A-124
2000
5000
2
thanks for your help
This is an aggregation query:
select userid, factorid, sum(economy), sum(vip), sum(count)
from tb_orders
group by userid, factorid;
Aggregation is a very basic part of SQL functionality. If you don't recognize it, I would suggest that you brush up on your SQL skills with a tutorial, book, or something like that.
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 trying to get a COUNTIFS from excel type of result
Here is the products table:
Name Product
john car
john football
john image
max food
max tv
max laptop
max image
max image
max image
alex tv
alex laptop
alex image
alex cake
alex cake
alex cake
alex cake
alex car
The output should be:
Name Product Number of products per person Number of products of the same type
john car 1 2
john football1 1
john image 1 5
max food 1 1
max tv 1 2
max laptop 1 2
max image 3 5
alex tv 1 2
alex laptop 1 2
alex image 1 5
alex cake 4 4
alex car 1 2
Number of products per person is count of products by name by product
and Number of products of the same type is based on the total count by product
for example image is repeated 3 times for max so in col C the answer is 3 but it there 5 times in the table so answer in col D is 5
I tried but not getting the correct answer:
SELECT
name,
product,
COUNT(*),
COUNT(*) OVER (PARTITION BY product),
from products
GROUP BY 1,2
ORDER BY 1
You are quite close. You need to sum the COUNT(*). You can do this directly in the aggregation query:
SELECT name, product,
COUNT(*),
SUM(COUNT(*)) OVER (PARTITION BY product)
FROM products
GROUP BY 1, 2
ORDER BY 1
#standardSQL
SELECT name, product, product_per_person,
SUM(product_per_person) OVER(PARTITION BY product) product_total
FROM (
SELECT
name,
product,
COUNT(*) product_per_person
FROM `project.dataset.products`
GROUP BY 1,2
)
ORDER BY 1
if to apply to your sample data - result should be
Row name product product_per_person product_total
1 alex cake 4 4
2 alex car 1 2
3 alex image 1 5
4 alex laptop 1 2
5 alex tv 1 2
6 john car 1 2
7 john football 1 1
8 john image 1 5
9 max food 1 1
10 max image 3 5
11 max laptop 1 2
12 max tv 1 2
use group by name and product
SELECT name,
product,
COUNT(*),
COUNT(*) OVER (partition by product)
from products
GROUP BY name,product
ORDER BY 1
I have an invoice_detail table that stores all invoice information. Obviously the detail table stores each line item, to break out the invoice like this:
Ticket_Detail_ID Ticket_Number Customer_ID Service_Code Total
1 1 15 Book1 4.00
2 1 15 Book2 5.00
3 1 15 Book3 6.00
4 2 16 Book1 4.00
5 2 16 Book2 5.00
6 3 17 Book1 4.00
7 3 17 Book2 5.00
8 3 17 Book3 6.00
I want to Select a count of distinct tickets based on Ticket_number That does not have a "Book3" service code. So in this example I would count:
Ticket 16, since it did not have a "Book3"
It would return:
1
My query right now is:
Select Count (Distinct Ticket_Number) as Total
From Invoice_Details
Where Service_Code <> 'Book3'
This returns:
6
Use NOT EXISTS:
SELECT COUNT(DISTINCT Ticket_Number)
FROM dbo.YourTable T
WHERE NOT EXISTS(SELECT 1 FROM dbo.YourTable
WHERE Service_Code = 'Book3'
AND Ticket_Number = T.Ticket_Number)
Here is an sqlfiddle with a demo of this.