I've been roasting my brain with my limited SQL knowledge while attempting to come up with a query to run a statistic on my orders database.
Table ORDERS is laid out like this:
CustomerID ProductID (etc)
1 10
1 10
1 11
2 10
4 9
Each purchase is recorded with the customer id and the product ID - there CAN be multiple records for the same customer, and even multiple records with the same customer and product.
I need to come up with a query that can return the amount of customers who bought between X and X distinct products - for example, 3 customers bought less then 5 different products, 10 bought from 5-10 different products, 1 bought over 10 different products.
I'm pretty sure this has something to do with derived tables, but advanced SQL is a new fairly craft to me. Any help would be appreciated!
Try this:
SELECT T1.products_bought, COUNT(T2.cnt) AS total
FROM (
SELECT '<5' AS products_bought, 0 AS a, 4 AS b
UNION ALL
SELECT '5-10', 5, 10
UNION ALL
SELECT '>10', 11, 999999
) T1
LEFT JOIN
(
SELECT COUNT(DISTINCT ProductID) AS cnt
FROM ORDERS
GROUP BY CustomerID
) T2
ON T2.cnt BETWEEN T1.a AND T1.b
GROUP BY a, b
Result:
products_bought total
<5 3
5-10 0
>10 0
Related
I am having trouble getting around a sum() in the recursive term. Basically my problem is this.
Lets say 3 different finish products. 'ABC1', 'ABC2', 'ABC3' every one of them is made from 'ABC'. Every 'ABC' is made from 'AB'. Every 'AB' is made from 'A'. I went out and sold 10 of each 'ABC1', 'ABC2', 'ABC3'
I am trying to make a query give me a list of each item and how much I need of that item based on how much I have sold.
This is an example of the return that I am looking for
Item
Level
Sold
On Hand
Required
A
0
0
0
15
AB
1
0
10
25
ABC
2
10
0
25
ABC1
3
10
5
10
ABC2
3
10
5
10
ABC3
3
10
5
10
For a general table structure you would have
Item
item_id
item_onhand
AND
BOM
bom_product_id
bom_material_id
AND
Sales
sale_id
sale_item_id
sale_qty
I cant start at the top and go down in my case. because the dataset takes too long to process. So I have to start with all the sales and work up the tree from there.
My idea was to create a result for each level.
And then recursively go up the material tree. Something along the lines of
WITH RECURSIVE sales_req AS(
SELECT item_id,
SUM(sale_qty) AS sales_req_sold,
item_onhand AS sales_req_qoh
FROM sales JOIN item ON sales_item_id = item_id
GROUP BY item_id
UNION
SELECT
item_id,
SUM(sales_req_sold - sales_req_qoh),
item_onhand
FROM
bom
JOIN sales_req ON bom_product_id = sales_req.item_id
JOIN item mat ON bom_material_id = mat.item_id
WHERE sales_req_sold > sales_req_qoh
The first Query Returning Something Like this
Item
Required
ABC
10
ABC1
10
ABC2
10
ABC3
10
And The recursive portion returning something like this
Item
Required
Notes
ABC
15
( The sum of sales for "ABC1,ABC2,ABC3" minus the inventory for each one)
AB
25
( The sum of ABC requirements from 1,2 and 3 Plus the requirement for the sale of ABC)
A
15
( AB Minus the inventory on hand for AB)
I need some sort of alternate solution to sum function. However there are a few constraints. I have to start with the sales table. I cannot put a limit on the levels. In this example I have 4 levels and only one level has multiple parts on it. But there could be 7 levels and each level could have 3 parts on it. I can assume the top level to be 1 single item.
try this :
WITH RECURSIVE req AS(
SELECT item_id, item_onhand, SUM(sale_qty) AS item_sales
FROM sales INNER JOIN item ON sale_item_id = item_id
GROUP BY item_id, item_onhand
), accum (item_id, item_onhand, item_sales, item_req, level) AS (
SELECT item_id, item_onhand, item_sales, item_sales, 0
FROM req
UNION ALL
SELECT b.bom_product_id, a.item_onhand, a.item_sales, a.item_sales - a.item_onhand, a.level - 1
FROM accum AS a
INNER JOIN bom AS b ON b.bom_material_id = a.item_id
)
SELECT r.item_id, min(a.level) AS level, r.item_onhand AS on_hand, r.item_sales AS sold, sum(item_req) AS required
FROM accum AS a
INNER JOIN req AS r ON r.item_id = a.item_id
GROUP BY r.item_id, r.item_onhand, r.item_sales
ORDER BY level
see test result in https://dbfiddle.uk/J7PMY1fZ[enter link description here]1
At the interview got question:
What products clients bought before first order of brand "Brand 1". Select top 5 by orders.
Tables:
Items:
RezonItemID;BrandName
5555613;Brand 1
2315946;Brand 2
9132648;Brand 3
3125847;Brand 1
3126548;Brand 5
Orders:
ClientID;ClientOrderID;RezonItemID;FactMoment
00611847;4562145;5555613;2021-01-09
00798451;7987465;1321321;2021-08-10
00914751;3154844;9132648;2021-07-01
00975418;9797451;1312125;2021-09-09
00978461;9413235;9754512;2021-10-29
My decision:
WITH first_order AS (
SELECT ClientID, MIN(FactMoment) as o_date
FROM orders
JOIN items
USING(RezonItemID)
WHERE BrandName = 'Brand 1'
GROUP BY ClientID
)
SELECT RezonItemID, COUNT(*) AS n_orders
FROM orders
JOIN items
USING(RezonItemID)
JOIN first_order
USING(ClientID)
WHERE FactMoment < o_date
GROUP BY RezonItemID
ORDER BY n_orders DESC
LIMIT 5
Is it possible to solve this by window functions? Maybe there is better decision?
Given the following tables
1 RezonItemID;BrandName
2 5555613;Brand 1
3 2315946;Brand 2
4 9132648;Brand 3
5 3125847;Brand 1
6 3126548;Brand 5
7
8 ClientID;ClientOrderID;RezonItemID;FactMoment
9 00611847;4562145;5555613;2021-01-09
10 00798451;7987465;1321321;2021-08-10
11 00914751;3154844;9132648;2021-07-01
12 00975418;9797451;1312125;2021-09-09
13 00978461;9413235;9754512;2021-10-29
It seems that if the question is "Which products did the clients buy before the first order for an item of Brand 1," a sql query may not be necessary. Assuming that FactMoment is a timestamp for the order, we can see that the first order has the earliest date (01/09/21) and has a "RezonItemID" 5555613. That item has the brand "Brand 1".
So the answer would be that no items were purchased before the first purchase of an item with BrandName = 'Brand 1'.
This is a puzzling question, the sample test data is not particularly useful since it yields no testable results so is pretty much useless.
If you want to use window functions then that's certainly possible.
The following successfully yields no rows and should work, but without proper test data it's hard to actually be sure!
Note using() is not supported by some databases, ansi join syntax is preferred.
select top(5) BrandName from (
select o.ClientID, i.BrandName, o.FactMoment,
Min(case when i.BrandName='Brand 1' then FactMoment end) over() earliest,
Count(*) over(partition by ClientID) qty
from Orders o left join Items i on i.RezonItemID=o.RezonItemID
)o
where FactMoment<earliest
order by qty desc
I currently have a select statement that is causing me issues, i have two tables:
Customer table
ID Month4Value Month5Value
1 24 5
Orders table
ID Year Month Value Quantity
1 2018 8 10 2
1 2018 4 2 1
1 2018 6 10 4
1 2018 4 7 3
I currently have the below view:
Create View Values as
Select ID, Year, Month, ROUND(SUM(Value*Quantity),2) as NewQuantity
FROM Orders
GROUP BY ID, Year, Month
The below select statement is what i am trying to run
Select Customer.ID, Customer.Month5Value, NewQuantity
from Customer inner join Values on Customer.ID = Values.ID
where ROUND(Customer.Month5Value, 2) <> ROUND(NewQuantity,2)
AND Values.Year = 2018
AND Values.Month = 5
What i am trying to achieve is to find any mismatches between the Orders table and the Customer table. In the above example, what i am expecting is to highlight that the value in Customer.Month5Value does not match the total of the (Quantity*Value) from the Orders table.
As there are 0 orders for Month 5 in the Orders Table, the Month5Value should be 0. However, it returns no entrys.
Any thoughts about what i have missed?
EDIT -
I have updated my query to this:
Select Customer.ID, Customer.Month5Value, NewQuantity
from Customer left join Values on Customer.ID = Values.ID
where ROUND(Customer.Month5Value, 2) <> ISNULL((Select NewQuantity from Customer left join Values on Customer.ID = Values.ID where Values.Month = 5 and Values.Year = 2018),0)
This has given me a list of IDs which have an incorrect amount in Month5Value on the Customer table, but displays lines for each month entry
ID Month5Value NewQuantity
1 5 24
1 5 40
1 5 20
How can i adjust this so that I get one line per ID with the correct value for NewQuantity (either 0 or NULL in this case)?
I think the INNER JOIN is removing any records which are missing from VALUES. Replacing the INNER JOIN with LEFT JOIN may give the result you are looking for.
I've been trying to solve this problem over the weekend, without luck so far. I have two tables:
TopOffers:
OfferId RetailerId Order
1 38 0
2 8 3
3 17 2
4 22 1
And Offers:
Id RetailerId Name Description etc...
1 3 Strawberry Red and smelly
2 38 Cookie Crunchy
3 17 Onion Of the nice kind
4 22 Apple Cheap
5 8 Toothbrush Lasts extra long!
My goal is to get the top 10 Offers for each Retailer ID. The order in which they should be listed is specified by the Order field in the TopOffer table (Sort order is Ascending). On top of that, the result should be padded to 10 offers when there are less than 10 TopOffer records for a retailer. The TopOffer table always contains 10 or less records per retailer.
So far I've managed to get this going, which works (I realize it doesn't get the top 10, but rather everything that's in the TopOffer table, which is alright, since the TopOffer table is always equal to or smaller than the top 10 for any retailer):
SELECT b.*
FROM
(
SELECT o.Id, to.`Order` FROM Offer AS o
LEFT JOIN TopOffer AS to
ON o.Id = to.OfferId
) AS a,
(
SELECT o.*, to.`Order` FROM Offer AS o
LEFT JOIN TopOffer AS to
ON o.Id = to.OfferId
) AS b
WHERE a.`Order` >= b.`Order` AND a.Id = b.Id
GROUP BY b.RetailerId, b.Id
HAVING Count(1) BETWEEN 1 AND 10
ORDER BY RetailerId, `Order` ASC
Unfortunately I can't seem to find any way of padding the result of this query with offers that don't have an entry in the TopOffer table if there aren't 10 TopOffer records for that retailer.
My sincerest thanks in advance for any help!
If you create a virtual table with numbers 1-10 you can left join to your results to get 10 of each
select number, results.*
from
(select 1 as number union select 2 union select 3 ... union select 10) numbers
left join
(your query here) results
on numbers.number = results.rank
I have 2 tables like this:
Stock Table
product_id bigint(20)
qty float
Sales Table
product_id bigint(20)
qty float
Sample Data
Stock Table
product_id---qty
1---10
2---11
3---20
4---50
1---10
3---10
Sales Table
product_id---qty
1---2
2---5
3---20
4---40
1---7
I want the following Output after running the Query
product_id---qty
1---11
2---6
3---10
4---10
Well, as spender ask I am trying to more clear the situation.
First of All, let's think that I store
10 quantity of product 1
11 quantity of product 2
20 quantity of product 3
50 quantity of product 4
10 quantity of product 1 (now I have total 20 of product 1)
10 quantity of product 3 (now I have total 30 of product 3)
Secondly, let's think that I sell
2 quantity of product 1
5 quantity of product 2
20 quantity of product 3
40 quantity of product 4
7 quantity of product 1 (now I have sold total 9 of product 1)
Thirdly, I want to know how much stock is now in my hand
11 quantity of product 1 (20-9 = 11)
6 quantity of product 2 (11-5 = 6)
10 quantity of product 3 (30-20 = 10)
10 quantity of product 4 (50-4 = 10)
My Question is: To find out this stock what is the Query?
Thanks in Advance for answering my question.
This answer works in Oracle - don't have MySql so can't test there
select product_id, sum(qty) from
(
select product_id, qty from stock
union all
select product_id, (-1 * qty) from sales
) as a
group by prod
You question is lacking detail and looks like it might even contain typos in the presented data. I'm going to make the assumption you are trying to calculate the diff between stock quantities and sales quantities, despite your data not actually supporting this (!!!). It looks like you require the following:
select
st.product_id,
sto.qty-st.qty
from
salesTable as st
join stockTable as sto on sto.product_id=st.product_id
Chris's answer is absolutely correct. But for the information I want to add this one which I found on NET.
SELECT tunion.product_id, (
(IFNULL((SELECT SUM(s.qty) FROM stock s WHERE s.product_id=tunion.product_id),0))-
(IFNULL((SELECT SUM(p.qty) FROM sales p WHERE p.product_id=tunion.product_id),0)))
AS quantity
FROM (SELECT DISTINCT s.product_id FROM stock s
UNION ALL SELECT DISTINCT p.product_id FROM sales p)
AS tunion GROUP BY tunion.product_id