This article explains this new feature with simple and extensive list of examples. The logic to control the access to table rows resides in the database and it is transparent to the application or user who is executing the query. In such cases we want each tenant is restricted to access their data only. Parts of Row-Level Security Following are the three main parts of a Row-Level Security Predicate Function A predicate function is an inline table valued schema bound function which determines whether a user executing the query has access to the row based on the logic defined in it.
Amazon S3 stores data in a flat structure; you create a bucket, and the bucket stores objects. However, the convention is to use a slash as the delimiter, and the Amazon S3 console but not Amazon S3 itself treats the slash as a special character for showing objects in folders. While you could simply grant each user access to his or her own bucket, keep in mind that an AWS account can have up to buckets by default.
By creating home folders and granting the appropriate permissions, you can instead have hundreds of users share a single bucket. Allow required Amazon S3 console permissions Before I begin identifying the specific folders David can have access to, I have to give him two permissions that are required for Amazon S3 console access: The console also does a GetBucketLocation call when users initially navigate to the Amazon S3 console, which is why David also requires permission for that action.
Without these two actions, David will get an access denied error in the console. Allow listing objects in root and home folders Although David should have access to only his home folder, he requires additional permissions so that he can navigate to his folder in the Amazon S3 console.
The following policy grants these permissions to David: When David tries to use the console to view the contents of the my-company bucket, the console will return an access denied error.
This block includes conditions, which let you limit when a request to AWS is valid. To set these root and home folder permissions, I used two conditions: For example, David can list all of the following files and folders in the my-company bucket:Row level security is one of the new feature introduced in Sql Server , it provides a mechanism to control row level read and write access based on the user’s context data like identity, role/group membership, session/connection specific information (I.e.
like CONTEXT_INFO(), SESSION_CONTEXT etc) etc. Permissions to Access Other AWS Resources To move data between your cluster and another AWS resource, such as Amazon S3, Amazon DynamoDB, Amazon EMR, or Amazon EC2, your cluster must have permission to access the resource and perform the necessary actions.
Row level security is one of the new feature introduced in Sql Server , it provides a mechanism to control row level read and write access based on the user’s context data like identity, role/group membership, session/connection specific information (I.e.
like . Learn how to grant user access to all SQL Server databases with both SSMS and T-SQL scripts. Loading DocCommentXchange Loading DocCommentXchange.
I am aware of this command: GRANT ALL PRIVILEGES ON database.* TO 'user'@'yourremotehost' IDENTIFIED BY 'newpassword'; But then it only allows me to grant a particular IP address to access this remote MySQL database.