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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.
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