The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hey guys,
I have performance issues with the Rankx function.
Currently, i use the rankx function for a dynamic top n selection for a matrix with a slicer.
This works fine for a table with less than 200 customers.
However, if i use my table with 15000 customers, the matrix will not load.
I would be really glad for suggestions or workarounds.
The DAX for my rankx function is the following:
Rank__Customer = RANKX(ALL(Customer[CustomerName] ),[TotalSales])
Solved! Go to Solution.
Hi @schaetzles ,
If the customer table only has the customername column.
new table = distinct(cusotmer[customername ])
If not, it is recommended to create a new table with only customername column, then link the new table with the customer table, and replace the customer table in your formula with the new table.
Rank__Customer = RANKX(ALL(new table[CustomerName] ),[TotalSales])
Best Regards,
Jay
Hi @schaetzles ,
If the customer table only has the customername column.
new table = distinct(cusotmer[customername ])
If not, it is recommended to create a new table with only customername column, then link the new table with the customer table, and replace the customer table in your formula with the new table.
Rank__Customer = RANKX(ALL(new table[CustomerName] ),[TotalSales])
Best Regards,
Jay
@schaetzles , if you are doing dynamic TOPN, then use TOPN
TOPN: https://youtu.be/QIVEFp-QiOk
Also, is total sales is a simple measure?
Thanks for the answer!
Total Sales is just a simple measure.
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
111 | |
79 | |
70 | |
48 | |
41 |
User | Count |
---|---|
139 | |
112 | |
72 | |
64 | |
62 |