{"active":true,"blog_title":"How Spark Supports OneLake Security with Row and Column Level Policies","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/how-spark-supports-onelake-security-with-row-and-column-level-security-policies","feature_description":"OneLake is adding support for multi-table Row-Level Security (RLS) to OneLake security. This allows users to define security for one table based on values of columns in another table. This is commonly used for filtering scenarios such as restricting sales data based on assigned stores or regions.This work item adds the necessary functionality to the Spark workload so that multi-table RLS policies can be defined and enforced. For workloads using the RLS bitmaps, the implementation requires testing and validation work to ensure correct enforcement during scan execution.","feature_name":"OneSecurity multi-table RLS support in Spark","last_modified":"2026-06-02","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q3 2026","release_item_id":"e54fa8e7-494d-f111-bec6-000d3a376c0f","release_status":"Planned","release_type":"Public preview"}