You can quickly and easily define row-level security roles and filters within Power BI Desktop using the enhanced row-level security editor. Select this option when you've also implemented dynamic row-level security at the server level, where row-level security is based on username or login ID.įor more information, see Bidirectional cross-filtering using DirectQuery in Power BI Desktop and the Securing the Tabular BI Semantic Model technical article.ĭefine roles and rules in Power BI Desktop using enhanced row-level security editor (Preview) Note that if a table takes part in multiple bi-directional relationships you can only select this option for one of those relationships. You can manually enable bi-directional cross-filtering with row-level security by selecting the relationship and checking the Apply security filter in both directions checkbox. You can enable dynamic security within Power BI Desktop by making use of the username() or userprincipalname() DAX functions and having the proper relationships configured.īy default, row-level security filtering uses single-directional filters, whether the relationships are set to single direction or bi-directional. You can't assign users to a role within Power BI Desktop. In this expression box, use commas to separate DAX function arguments even if you're using a locale that normally uses semicolon separators (e.g. Import data into your Power BI Desktop report, or configure a DirectQuery connection. When you publish to Power BI, you also publish the role definitions. You can define roles and rules within Power BI Desktop. Define roles and rules in Power BI Desktop The security option doesn't show up for live connection semantic models. For Analysis Services or Azure Analysis Services lives connections, you configure Row-level security in the model, not in Power BI Desktop. You can also configure RLS on semantic models that are using DirectQuery, such as SQL Server. You can configure RLS for data models imported into Power BI with Power BI Desktop. It doesn't apply to Admins, Members, or Contributors. RLS only restricts data access for users with Viewer permissions. In the Power BI service, users with access to a workspace have access to semantic models in that workspace. Filters restrict data access at the row level, and you can define filters within roles. Row-level security (RLS) with Power BI can be used to restrict data access for given users.
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