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Grant database users permission to execute Python and R scripts with SQL Server Machine Learning Services

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Applies to: SQL Server 2016 (13.x) and later Azure SQL Managed Instance

Learn how you can give a database user permission to run external Python and R scripts in SQL Server Machine Learning Services and give read, write, or data definition language (DDL) permissions to databases.

For more information, see the permissions section in Security overview for the extensibility framework.

Permission to run scripts

For each user who runs Python or R scripts with SQL Server Machine Learning Services, and who are not an administrator, you must grant them the permission to run external scripts in each database where the language is used.

To grant permission to a database user to execute external script, run the following script:

USE <database_name>
GO
GRANT EXECUTE ANY EXTERNAL SCRIPT TO [UserName]

Note

Permissions are not specific to the supported script language. In other words, there are not separate permission levels for R script versus Python script.

Grant database permissions

While a database user is running scripts, the database user might need to read data from other databases. The database user might also need to create new tables to store results, and write data into tables.

For each database user account or SQL login that is running R or Python scripts, ensure that it has the appropriate permissions on the specific database:

  • db_datareader to read data.
  • db_datawriter to save objects to the database.
  • db_ddladmin to create objects such as stored procedures or tables containing trained and serialized data.

For example, the following Transact-SQL statement gives the SQL login MySQLLogin the rights to run T-SQL queries in the ML_Samples database. To run this statement, the SQL login must already exist in the security context of the server. For more information, see sp_addrolemember (Transact-SQL).

USE ML_Samples
GO
EXEC sp_addrolemember 'db_datareader', 'MySQLLogin'

Next steps

For more information about the permissions included in each role, see Database-level roles.