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Adventure works 2017 full database backup.zip
Adventure works 2017 full database backup.zip













adventure works 2017 full database backup.zip

The query returns only customers from United States region as expected.Įxecute the Revert command to return the execution context back to your user. SELECT FirstName, LastName, EnglishCountryRegionName EXECUTE AS LOGIN = 'DOMAIN\GHowell' - United States Group We impersonate a user, GHowell, which belongs to the United States Active Directory. Now, we’ll test it by running some scripts. CREATE SECURITY POLICY RLS.AWSecurityPolicyĪDD FILTER PREDICATE RLS.GeographyAccessPredicate(GeographyKey) ON dbo.DimCustomerĪfter this our Row-Level-Security is implemented! This function returns 1 when a row in the DimGeography table matches the corresponding CountryRegionCode (G.CountryRegionCode = ‘US’) and the user executing the query belongs to the corresponding Active Directory group (IS_MEMBER(‘DOMAIN\AW United States’) = 1). The predicate function is an inline table valued function. We create the function that we’ll use as a filter predicate for the security policy. With the SQL Logins created, we can implement our security policy.įirst, we create a new schema, just to keep SQL objects separate from the existing objects.

adventure works 2017 full database backup.zip

We create a SQL Login for each of these Active Directory groups. Now, we have Active directory groups corresponding to each country’s sales team. The following is a simplified diagram that includes only three tables from the Adventure Works database: DimCustomer, DimGeography and FactInternetSales

#Adventure works 2017 full database backup.zip download

You can download the database from this link: ĭownload and restore the Adventure Works DW 2014 Full Database Backup.zip We are going to use Adventure Works Database as a sample. RLS is accomplished by using a function (predicate) and the security policy that should be implemented by a database administrator.

adventure works 2017 full database backup.zip

Row Level Security (RLS) is a concept that provides security at the table row level within the database layer, instead of at the application layer. SQL Server 2016 introduced a new feature the database engine: Row-Level-Security. The database should retrieve to GHowell only the records corresponding to United States Customers. The DimCustomer table contains customer records not only from USA, but from other countries. When GHowell send the query: “SELECT * FROM DimCustomer” to the database. In the picture below, we can see that Ginger Howell, a sales representative from the United States Sales Team, is trying to get information from the Customer Dimension table (Dim Customer). These teams should only access to data from their corresponding country. Sales are ordered from five different countries like Unites States, Germany, United Kingdom, Canada, France and Australia.Īdventure Works Cycles has Sales Teams in each of these countries. This company sells products around the world. The AdventureWorks Database supports a fictitious, multinational manufacturing company called Adventure Works Cycles. In this article, I’ll explain a basic use case of Row-Level-Security implementation for Microsoft SQL Server 2016 database.















Adventure works 2017 full database backup.zip