March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
Hello fellow datanuts (@Phil_Seamark, @Vvelarde, @Greg_Deckler, @Zubair_Muhammad) Quick question for you guys:
Just wondering how you will solve following SQL query in DAX, basically sum the quantity only in case where a sales order contains productcode = '1' and same sales order contain product code '999' .
Keep in mind sales table contains millions of rows, so performance is important.
Select SUM(sales.qty) From sales Join product on product.productid = sales.id and product.productcode = '1' and sales.id IN (select sales.id From sales Join product.productid = sales.id and product.product_code = '999' )
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
Solved! Go to Solution.
If you're wanting a measure, something along these lines should work.
The logic in your 2nd post sounds similar to this (I was guessing a bit with column names & related tables, so replace the red as needed):
Sales For Orders Containing Both 1 and 999 = CALCULATE ( SUM ( Sales[Qty] ), CALCULATETABLE ( SUMMARIZE ( Sales, Sales[OrderID] ), Product[Product_Code] = 1 ), CALCULATETABLE ( SUMMARIZE ( Sales, Sales[OrderID] ), Product[Product_Code] = 999 ) )
EDIT: Actually you may get better performance nesting the CALCULATETABLES, with whichever Product is less frequent in the inner CALCULATETABLE:
Sales for Orders Containing Both 1 and 999 = CALCULATE ( SUM ( Sales[Qty] ), CALCULATETABLE ( SUMMARIZE ( Sales, Sales[OrderID] ), Product[Product_Code] = 1, CALCULATETABLE (
SUMMARIZE ( Sales, Sales[OrderID] ),
Product[Product_Code] = 999
) ) )
This seems to perform quite quickly on a dummy table with 5m rows ( 10k orders and 500 products per order).
Regards,
Owen
If you're wanting a measure, something along these lines should work.
The logic in your 2nd post sounds similar to this (I was guessing a bit with column names & related tables, so replace the red as needed):
Sales For Orders Containing Both 1 and 999 = CALCULATE ( SUM ( Sales[Qty] ), CALCULATETABLE ( SUMMARIZE ( Sales, Sales[OrderID] ), Product[Product_Code] = 1 ), CALCULATETABLE ( SUMMARIZE ( Sales, Sales[OrderID] ), Product[Product_Code] = 999 ) )
EDIT: Actually you may get better performance nesting the CALCULATETABLES, with whichever Product is less frequent in the inner CALCULATETABLE:
Sales for Orders Containing Both 1 and 999 = CALCULATE ( SUM ( Sales[Qty] ), CALCULATETABLE ( SUMMARIZE ( Sales, Sales[OrderID] ), Product[Product_Code] = 1, CALCULATETABLE (
SUMMARIZE ( Sales, Sales[OrderID] ),
Product[Product_Code] = 999
) ) )
This seems to perform quite quickly on a dummy table with 5m rows ( 10k orders and 500 products per order).
Regards,
Owen
HI @parry2k
@OwenAugersolution looks great..
This might work as well. Give this a shot as well
Basically it cross filters the Product Table for each Sales order to check if there are 2 specified product codes or not
Measure = CALCULATE ( SUM ( Sales[qty] ), FILTER ( ALL ( Sales[orderid] ), CALCULATE ( DISTINCTCOUNT ( 'product'[product_code] ), TREATAS ( { 1, 999 }, 'product'[product_code] ), CROSSFILTER ( Sales[id], 'product'[productid], BOTH ) ) = 2 ) )
Thanks @OwenAuger @Zubair_Muhammad
I have to tweak @OwenAuger measure like below:
Product Code 1 Sold = CALCULATE(SUM(Sale[Qty]), Filter(Product, ProductCode = 1)) Product Code 1 and 999 Sold = CALCUALTE([Product Code 1 Sold], CALCULATETABLE ( SUMMARIZE (Sale, Sale[Order_Id] ), Product[ProductCode] = 999 ) )
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
BTW this is what I did so far
- created a calculated column from sales using summarize and filter on product
- established relationship with calculated tables with sales table
- added calculated column in saales table to flag if invoice exists in calculate column and use this to filter records in my measure
Thanks,
P
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.
User | Count |
---|---|
124 | |
89 | |
84 | |
70 | |
51 |
User | Count |
---|---|
206 | |
146 | |
97 | |
79 | |
69 |