You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
For Azure you should use the `data_access_config` to provide the service principal configuration. You can use the Databricks SQL Admin Console UI to help you generate the right configuration values.
The following arguments are supported (see [documentation](https://docs.databricks.com/sql/api/sql-endpoints.html#global-edit) for more details):
23
43
24
44
*`security_policy` (Optional, String) - The policy for controlling access to datasets. Default value: `DATA_ACCESS_CONTROL`, consult documentation for list of possible values
25
45
*`data_access_config` (Optional, Map) - data access configuration for [databricks_sql_endpoint](sql_endpoint.md), such as configuration for an external Hive metastore, Hadoop Filesystem configuration, etc. Please note that the list of supported configuration properties is limited, so refer to the [documentation](https://docs.databricks.com/sql/admin/data-access-configuration.html#supported-properties) for a full list. Apply will fail if you're specifying not permitted configuration.
26
-
*`instance_profile_arn` (Optional, String) - [databricks_instance_profile](instance_profile.md) used to access storage from [databricks_sql_endpoint](sql_endpoint.md). Please note that this parameter is only for AWS, and will generate an error if used on other clouds.
46
+
*`instance_profile_arn` (Optional, String) - [databricks_instance_profile](instance_profile.md) used to access storage from [databricks_sql_endpoint](sql_endpoint.md). Please note that this parameter is only for AWS, and will generate an error if used on other clouds.
0 commit comments