Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi Folks,
I have read and applied almost all relevant post for Incorrect totals related to measure but still the issue persists. I have two tables having many to many relationship(due to which I cannot use related function) - A containing quantity information for items and B containing prices for those items. Tables are big so i don't want to merge them. I have resolved many to many relationship using bridge table to many to one relationship however, when I use calculated columns to calculate the item cost, it gives error of circular dependency.
To avoid that I tried to do the calculation using measures but it results in incorrect totals. Any pointers to resolve the issue is much appreciated!
Formulas that is have used for measures -
Part Cost =
Solved! Go to Solution.
Hi @Anonymous ,
You can refer to the blog:Measure-Totals-The-Final-Word
Best Regards,
Liang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
You can refer to the blog:Measure-Totals-The-Final-Word
Best Regards,
Liang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@Anonymous Can you show your model?
Hi JirkaZ,
Below is the snippet of datamodel. I have highlighted the column that i want to multiply in the measure.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 46 | |
| 43 | |
| 39 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 68 | |
| 67 | |
| 31 | |
| 27 | |
| 24 |