I want to return query with multiple joins and with clause after updating something.
For example my query is:
WITH orders AS (
SELECT product_id, SUM(amount) AS orders
FROM orders_summary
GROUP BY product_id
)
SELECT p.id, p.name,
p.date_of_creation,
o.orders, s.id AS store_id,
s.name AS store_name
FROM products AS p
LEFT JOIN orders AS o
ON p.id = o.product_id
LEFT JOIN stores AS s
ON s.id = p.store_id
WHERE p.id = '1'
id
name
date
orders
store_id
store_name
1
pen
11/16/2022
10
1
jj
2
pencil
11/10/2022
30
2
ff
I want to return the exact query but with updated result in my update:
UPDATE products
SET name = 'ABC'
WHERE id = '1'
RETURNING up_qeury
Desired result on update:
id
name
date
orders
store_id
store_name
1
ABC
11/16/2022
10
1
jj
You can try UPDATE products ... RETURNING *. That may get you the content of the row you just updated.
As for UPDATE .... RETURNING someQuery, You Can't Do That™. You want to do both the update and a SELECT operation in one go. But that's not possible.
If you must be sure your SELECT works on the precisely the same data as you just UPDATEd, you can wrap your two queries in a BEGIN; / COMMIT; transaction. That prevents concurrent users from making changes between your UPDATE and SELECT.
I have been able to select this data, using these two sql queries
Query 1:
SELECT article_id, amount_required, amount_sold FROM products_articles,sales WHERE sales.product_id = products_articles.product_id
Query 2:
SELECT * FROM articles
What I want to do, is go through the first table (with amount sold and required) (it's fine that there are duplicate rows), and for each row in the table multiply the value of amount_sold and amount_required and then subtract that value from amount_in_stock where the ids match in the second table.
Example from the first row:
2 * 4 = 8, change amount_in_stock from 124 to 116.
And so on...
How can I do this using just sql?
UPDATE A
SET
A.amount_in_stock =(S.amountSold * S.amount_required)- A.amount_in_stock
FROM articles AS A
INNER JOIN
products_articles AS PA
ON PA.article_id= A.article_id
INNER JOIN Sales AS S
ON S.product_id=PA.product_id
Please try this:
Update articles a
inner join
(
SELECT article_id, sum(amount_required) amount_required, sum(amount_sold )amount_sold FROM products_articles inner join sales on sales.product_id = products_articles.product_id
group by article_id
)b on a.article_id=b.article_id
set a.amount_in_stock=a.amount_in_stock-(amount_required*amount_sold )
Since there could be multiple rows in product_articles and amount_sold I have used group by to sum the amounts.
For SQLite please try this:
Update articles
set amount_in_stock=(SELECT sum(amount_required) * sum(amount_sold ) FROM products_articles inner join sales on sales.product_id = products_articles.product_id
where products_articles.article_id=articles.article_id
group by article_id
)
where exists (SELECT * FROM products_articles inner join sales on sales.product_id = products_articles.product_id where products_articles.article_id=articles.article_id
)
I am trying to create the SQL necessary to accomplish the following. As an aside, I am using server side Report Builder against a hosted SQL Server database so am limited in what I can do. There are 3 tables. A salesperson table (sales), an items table (items), and a transaction table (tx).
Here is an example:
Sales Person table (sales)
Person A
Person B
Items ID table (items)
10
20
30
100
200
300
1000
2000
3000
Transaction table (tx)
100 (person A)
300 (person B)
300 (person A)
200 (person B)
Desired result in Report Builder:
Person A
Item 100: 1
Item 200: 0 (NULL)
Item 300: 1
-- NEW PAGE --
Person B:
Item 100: 0 (NULL)
Item 200: 1
Item 300: 1
My problem: here is the SQL I came up with. I need to be able to generate a consistent result set, regardless of whether an item was sold or not by a particular salesperson for easier import into Excel. In addition, I am only looking for items whose code is between 100 and 300 and within a specified date range. My SQL is ignoring the date range and item code range. I originally had these instructions in a WHERE clause but it returned only those lines that were in both tables and I lost the placeholder for any itemcode where the value was null (acting as an INNER join). Within Report Builder I will be counting how many of each items were sold by salesperson.
SELECT
tx.date, sales.salesperson, items.itemcode
FROM
tx
LEFT OUTER JOIN
itemcode ON (tx.itemcode = items.itemcode)
AND (date BETWEEN "10/1/2017" AND "12/31/2017")
AND (itemcode BETWEEN "100" AND "300")
INNER JOIN
sales ON (tx.salesID = sales.salesID)
ORDER BY
itemcode ASC
Many thanks for any and all insight into my challenge!
If you want all sales people and all items, then you can generate the rows using a cross join. You can bring in the available data using left join or exists:
select s.person, i.itemcode,
(case when exists (select 1
from tx
where tx.salesid = s.salesid and tx.itemcode = i.itemcode
)
then 1 else 0
end) as has_sold
from sales s cross join
items i
where i.itemcode between 100 and 300
order by s.saledid, i.itemcode;
If you want the count of items, use left join and group by:
select s.person, i.itemcode, count(tx.salesid) as num_sold
from sales s cross join
items i left join
tx
on tx.salesid = s.salesid and tx.itemcode = i.itemcode
where i.itemcode between 100 and 300
order by s.saledid, i.itemcode;
Here's an example that uses both cross join (to get all combinations of sales and items) and left join (to get the transactions for given dates)
SELECT
tx.date, sales.salesperson, items.itemcode
FROM
Items
CROSS JOIN
sales
LEFT OUTER JOIN
tx ON (items.itemcode = tx.itemcode)
AND date BETWEEN '10/1/2017' AND '12/31/2017'
AND (tx.salesID = sales.salesID)
WHERE
(items.itemcode BETWEEN '100' AND '300')
ORDER BY
itemcode ASC
I made a query to get the inventory of products as follows:
Select
b.ProductID, c.ProductName,
(Select
Case
When SUM(Qty) IS NULL
then 0
else SUM(Qty)
end
from
InvoiceDetails
where
ProductID = b.ProductID) as Sold,
(Select
Case
When SUM(QtyReceive) IS NULL
then 0
else SUM(QtyReceive)
end
from
PurchaseOrderDetails
where
ProductID = b.ProductID) as Stocks,
((Select
Case
When SUM(QtyReceive) IS NULL
then 0
else SUM(QtyReceive)
end
from
PurchaseOrderDetails
where
ProductID = b.ProductID) -
(Select
Case
When SUM(Qty) IS NULL
then 0
else SUM(Qty)
end
from
InvoiceDetails
where
ProductID = b.ProductID)) as RemainingStock
from
InvoiceDetails a
Right join
PurchaseOrderDetails b on a.ProductID = b.ProductID
Inner join
Products c on b.ProductID = c.ProductID
Group By
b.ProductID, c.ProductName
This query returns the data that I want, and it runs fine in my desktop, but when I deploy the application that runs this query on a lower specs laptop, it is really slow and causes the laptop to hang. I need some help on how to optimize the query or maybe change it to make it more efficient... thanks in advance
This are the data of my InvoiceDetails table
Data From my PurchaseOrderDetails table
Data from Products table
So I've taken out your subqueries in the select, I don't think these were necessary at all. I've also moved around your joins and given better aliases to the tables;
SELECT
b.ProductID,
c.ProductName,
ISNULL(SUM(id.Qty),0) as Sold,
ISNULL(SUM(pod.QtyReceive),0) as Stocks,
ISNULL(SUM(pod.QtyReceive),0) - ISNULL(SUM(id.Qty),0) as RemainingStock
FROM PurchaseOrderDetails pod
INNER JOIN Products pr
ON pr.ProductID = pod.ProductID
LEFT JOIN InvoiceDetails id
ON id.ProductID = pod.ProductID
GROUP BY
pod.ProductID, pr.ProductName
You were already joining those two tables so you don't need subqueries in the select at all. I've also wrapped the SUM in ISNULL to ensure there are no NULL errors.
I'd suggest using the SET STATISTICS TIME,IO ON at the beginning of your code (with an OFF command at the end). Then copy all of the text from your 'messages' tab into statisticsparser.com. Do this for both queries and compare, check the total CPU time and the logical reads, you want these both lower for better performance. I'm betting your logical reads will drop significantly with this new query.
EDIT
OK, I've put together a new query based upon your sample data. I've only used the fields that we actually need for this query so that it's simpler for this example.
Sample Data
CREATE TABLE #InvoiceDetails (ProductID int, Qty int)
INSERT INTO #InvoiceDetails (ProductID,Qty)
VALUES (3,50),(1,0),(2,1),(1,12),(2,1),(3,1),(1,1),(2,1),(1,1),(2,1)
CREATE TABLE #PurchaseOrderDetails (ProductID int, Qty int)
INSERT INTO #PurchaseOrderDetails (ProductID, Qty)
VALUES (1,100),(2,20),(4,10),(1,12),(5,12),(4,12),(3,12),(2,20),(3,20),(4,20),(5,20)
CREATE TABLE #Products (ProductID int, ProductName varchar(20))
INSERT INTO #Products (ProductID, ProductName)
VALUES (1,'Sample Product'),(2,'DYE INK CYAN'),(3,'test Product 1'),(4,'test Product 2'),(5,'test Product 3'),(1004,'TESTING PRODUCT')
For this, here is the output of your original query
ProductID ProductName Sold Stocks RemainingStock
1 Sample Product 14 112 98
2 DYE INK CYAN 4 40 36
3 test Product 1 51 32 -19
4 test Product 2 0 42 42
5 test Product 3 0 32 32
This is the re-written query that I've used. Note, there are no subqueries within the SELECT statement, they're within the joins as they should be. Also see that as we're aggregating in the subqueries we don't need to do this in the outer query too.
SELECT
pod.ProductID,
pr.ProductName,
ISNULL(id.Qty,0) as Sold,
ISNULL(pod.Qty,0) as Stocks,
ISNULL(pod.Qty,0) - ISNULL(id.Qty,0) as RemainingStock
FROM #Products pr
INNER JOIN (SELECT ProductID, SUM(Qty) Qty FROM #PurchaseOrderDetails GROUP BY ProductID) pod
ON pr.ProductID = pod.ProductID
LEFT JOIN (SELECT ProductID, SUM(Qty) Qty FROM #InvoiceDetails GROUP BY ProductID) id
ON id.ProductID = pr.ProductID
And this is the new output
ProductID ProductName Sold Stocks RemainingStock
1 Sample Product 14 112 98
2 DYE INK CYAN 4 40 36
3 test Product 1 51 32 -19
4 test Product 2 0 42 42
5 test Product 3 0 32 32
Which matches your original query.
I'd suggest trying this query on your machines and seeing which performs better, try the STATISTICS TIME,IO command I mentioned previously.
You grouped by b.ProductID, c.ProductName then you could use aggregate function to calculate.
And create indexes in your table to improve performance.
Select
b.ProductID, c.ProductName,
SUM(isnull(a.Qty,0)) as Sold,
SUM(b.QtyReceive) as Stocks,
SUM(b.QtyReceive) - SUM(isnull(a.Qty,0)) as RemainingStock
from
PurchaseOrderDetails b
LEFT JOIN InvoiceDetails a on a.ProductID = b.ProductID
INNER JOIN Products c on b.ProductID = c.ProductID
Group By
b.ProductID, c.ProductName
Can you try this? (I wrote without testing, as you didn't post sample data nor create table). Please check it and use as a starting point. Compare results from your query and this and compare execution plan. Analysis of performances requires "some" knowledge of Sql and ability to consider several things (eg. how many rows, are there indexes, using of execution plan and statistics, etc.)
SELECT C.PRODUCTID
,C.PRODUCTNAME
,COALESCE(D.QTY_SOLD,0) AS QTY_SOLD
,COALESCE(E.QTY_STOCKS,0) AS QTY_STOCKS
,COALESCE(E.QTY_STOCKS,0)-COALESCE(D.QTY_SOLD,0) AS REMAININGSTOCK
FROM PRODUCTS C
LEFT JOIN (SELECT PRODUCTID, SUM(QTY) AS QTY_SOLD
FROM INVOICEDETAILS
GROUP BY PRODUCTID
) D ON B.PRODUCTID = D.PRODUCTID
LEFT JOIN (SELECT PRODUCTID,SUM(QTYRECEIVE) AS QTY_STOCKS
FROM PURCHASEORDERDETAILS
GROUP BY PRODUCTID
) E ON B.PRODUCTID = E.PRODUCTID
Looking to your query, I think this could be equivalent (or at least I hope it is):
Select
b.ProductID
, c.ProductName
, Case When SUM(a.Qty) IS NULL then 0 else SUM(a.Qty) end as sold
, Case When SUM(b.QtyReceive) IS NULL then 0 else SUM(b.QtyReceive) end as Stock
, Case When SUM(isnull(a.Qty,0 ) - isnull(b.QtyReceive,0)) IS NULL
then 0
else SUM(isnull(a.Qty,0 ) - isnull(b.QtyReceive,0)) end as RemainingStock
from Products c
left join InvoiceDetails a on c.ProductID = a.ProductID
left join PurchaseOrderDetails b on c.ProductID = b.ProductID
Group By b.ProductID,c.ProductName
I have a set of data, and while the number of fields and tables it joins with is quite complex, I believe I can distill my problem down using the required fields/tables here for illustration regarding this particular problem.
I have three tables: ClientData, Sources, Prices
Here is what my current query looks like before selecting the minimum value:
select c.RecordID, c.Description, s.Source, p.Price, p.Type, p.Weight
from ClientData c
inner join Sources s ON c.RecordID = s.RecordID
inner join Prices p ON s.SourceID = p.SourceID
This produces the following result:
RecordID Description Source Price Type Weight
=============================================================
001002003 ABC Common Stock Vendor 1 104.5 Close 1
001002003 ABC Common Stock Vendor 1 103 Bid 2
001002003 ABC Common Stock Vendor 2 106 Close 1
001002003 ABC Common Stock Vendor 2 100 Unknwn 0
111222333 DEF Preferred Stk Vendor 3 80 Bid 2
111222333 DEF Preferred Stk Vendor 3 82 Mid 3
111222333 DEF Preferred Stk Vendor 2 81 Ask 4
What I am trying to do is display prices that belong to the same record which have the minimum non-zero weight for that record (so the weight must be greater than 0, but it has to be the minimum from amongst the remaining weights). So in the above example, for record 001002003 I would want to show the close prices from Vendor 1 and Vendor 2 because they both have a weight of 1 (the minimum weight for that record). But for 111222333 I would want to show just the bid price from Vendor 3 because its weight of 2 is the minimum, non-zero for that record. The result that I'm after would like like:
RecordID Description Source Price Type Weight
=============================================================
001002003 ABC Common Stock Vendor 1 104.5 Close 1
001002003 ABC Common Stock Vendor 2 106 Close 1
111222333 DEF Preferred Stk Vendor 3 80 Bid 2
Any ideas on how to achieve this?
EDIT: This is for SQL Server Compact Edition.
I was able to come up with the solution so I thought I would share it:
SELECT x.RecordID, VendorSource, VendorPrice
FROM ClientData x
INNER JOIN Sources s ON x.RecordID = s.RecordID
INNER JOIN Prices p ON s.SourceID = p.SourceID
INNER JOIN (SELECT c.RecordID, MIN(Weight) min_weight
FROM ClientData c
INNER JOIN Sources s ON c.RecordID = s.RecordID
INNER JOIN Prices p ON s.SourceID = p.SourceID
WHERE Weight != 0
GROUP BY c.RecordID) w ON x.RecordID = w.RecordID
WHERE p.Weight = w.min_weight
This allows the minimum weight to be populated on a RecordID level in the derived table, so there is 1 weight per RecordID.
For all those who gave answers, thank you; I appreciate the help and any guidance that was offered.
You can use RANK() with a Partition over RecordId with increasing weights to 'rate' each row (after excluding zero weights entirely), and then simply filter out the top ranked rows. The CTE used just to keep the second query simple + clear
;WITH MyRecords AS
(
-- Your source query goes here
select c.RecordID, c.Description, s.Source, p.Price, p.Type, p.Weight
from ClientData c
inner join Sources s ON c.RecordID = s.RecordID
inner join Prices p ON s.SourceID = p.SourceID
)
SELECT RecordID, [Description], [Source], [Price], [Type], [Weight]
FROM
(
SELECT RecordID, [Description], [Source], [Price], [Type], [Weight],
-- With ranking, the lower the weight the better
Rnk = RANK() OVER (PARTITION BY RecordId ORDER BY [Weight] ASC)
FROM MyRecords
-- But exclude Weight 0 entirely
WHERE [Weight] > 0
) RankedRecords
-- We just want the top ranked records, with ties
WHERE Rnk = 1
Edit CE constraint added after the post. See How would I duplicate the Rank function in a Sql Server Compact Edition SELECT statement? on how to simulate RANK() over in CE.
I think you need to change your structure up a little bit to actually make this work as you would like it to. Basically the way you have it a price record is set up against a Source rather than against the Item which seems to be in the ClientData table. By removing the c.Record number column from the Sources table and putting it into the Prices table you should get the correct One(ClientData) to many (Prices), and One(ClientData) to many(Sources) relationships that I think you need.
select c.RecordID, c.Description, s.Source, p.Price, p.Type, p.Weight
from ClientData c
inner join Prices p ON c.RecordID = p.RecordID
inner join Sources s ON s.SourceID = p.SourceID
AND p.Weight> 0
LEFT OUTER JOIN #Prices p2 ON c.RecordID = p2.RecordID
AND p2.PriceID <> p.priceID
AND p2.Weight > 0
AND p2.Weight < p.Weight
WHERE p2.SourceID IS NULL
If you make the change specified above then this query will returns the exact data that you are looking for.