SVV_ML_MODEL_PRIVILEGES - Amazon Redshift
Table columnsSample query
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SVV_ML_MODEL_PRIVILEGES

Use SVV_ML_MODEL_PRIVILEGES to view the machine learning model permissions that are explicitly granted to users, roles, and groups in the cluster.

SVV_ML_MODEL_PRIVILEGES is visible to the following users:

  • Superusers

  • Users with the ACCESS SYSTEM TABLE permission

Other users can only see identities they have access to or own.

Table columns

Column name Data type Description
namespace_name text The name of the namespace where a specified machine learning model exists.
model_name text The name of the machine learning model.
model_version integer The version number of the model.
privilege_type text The type of the permission. Possible value is EXECUTE.
identity_id integer The ID of the identity. Possible values are user ID, role ID, or group ID.
identity_name text The name of the identity.
identity_type text The type of the identity. Possible values are user, role, group, or public.
admin_option boolean A value that indicates whether the user can grant the permission to other users and roles. It is always false for the role and group identity type.

Sample query

The following example displays the result of the SVV_ML_MODEL_PRIVILEGES.

SELECT namespace_name,model_name,model_version,privilege_type,identity_name,identity_type,admin_option FROM svv_ml_model_privileges
WHERE model_name = 'test_model';

 namespace_name | model_name | model_version | privilege_type |  identity_name | identity_type | admin_option
----------------+------------+---------------+----------------+----------------+---------------+--------------
      public    | test_model |       1       |    EXECUTE     |     reguser    |     user      |    False
      public    | test_model |       1       |    EXECUTE     |     role1      |     role      |    False