How To Implement SQL Analytic Privilege in SAP HANA

Analytic privileges control access to SAP HANA data models. 
Analytic privileges are used to grant different users access to different portions of data in the same view depending on their business role. It allows us to maintain row-level access


SQL privileges implement authorization at object level only. Users either have access to an object, such as a table, view or procedure, or they do not. 

While this is often sufficient, there are cases when access to data in an object depends on certain values or combinations of values. Analytic privileges are used in the SAP HANA database to provide such fine-grained control of which data individual users can see within the same view. 


Analytic privileges are intended to control read-only access to SAP HANA information models (attribute views, analytic views, calculation views

The attribute restriction of an analytic privilege specifies the value range that the user is permitted to access using value filters. In addition to static scalar values, stored procedures can be used to define filters. This allows user-specific filter conditions to be determined dynamically in runtime, for example, by querying specified tables or views. As a result, the same analytic privilege can be applied to many users, while the filter values for authorization can be updated and changed independently in the relevant database tables.
Create a calculation View, In Projection_1 select EMPLOYEE_LOCATION Table

Save and Activate the View and see  the below output


Now create SQL Analytic  Privilege and select the our calculation view .
Restrict the Column EMPLOYEE_LOCATION_AREA with INDIA like below.


Go to security tab select the user and apply Analytic Privilege to that user.


Output:






Comments


  1. Thank you for giving this best information. It’s a very nice topic
    SAP HANA Remote Online Access

    ReplyDelete
  2. Wow!! great Post.
    Thanks for providing this amazing information. I think we can expect better success with these tips.
    Sap Analytics
    Keep Posting:)

    ReplyDelete

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