We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi All,
I have azuer analysis services and want to implement RLS, i want to implement RLS dynamically that it will take data from one table which will store the dimension attributes and username of the user. Then i want to pass those dimension attributes to my roles on multiple dimensions. So suppose DimCust has CutomerType (Regular,Occassional,Rare) and DimBroker has BrokerType (High, Medium, Low), Now my user roles table will have data for CustomerTye "Regular" , BrokerType "High" and username "XYZ@mail.com" so how do i implement this in cube. Assuming if CutomerType is not provided in the table then it should consider all the customer and same for brokertype.
Any help would be appreciable.
Thanks,
Amit
Hi, @atomar070
Dynamic security defines a user’s read access to data right down to a particular row in a particular table. Similar to roles, dynamic row-level security relies on a user’s Windows user name.
A user’s ability to query and view model data is determined by:
For further inforamtion, you may refer the following document.
Security Roles (Analysis Services - Multidimensional Data)
Best Regards
Allan
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @v-alq-msft ,
Yes, i am aware of how security works. My question is that how do i implement the RLS on two dimension, if records from both dimenison available to see for that user then filter should apply on both the dimensions and if attribute from only one dimension available then it should take that filter from that dimension and from another dimension it sould show all the records.
Thanks,
Amit
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.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 53 | |
| 38 | |
| 33 | |
| 17 | |
| 17 |
| User | Count |
|---|---|
| 67 | |
| 63 | |
| 38 | |
| 34 | |
| 22 |