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Unity Catalog

databricks_storage_credential Resource

-> Note This resource could be used with account or workspace-level provider.

To work with external tables, Unity Catalog introduces two new objects to access and work with external cloud storage:

  • databricks_storage_credential represents authentication methods to access cloud storage (e.g. an IAM role for Amazon S3 or a service principal/managed identity for Azure Storage). Storage credentials are access-controlled to determine which users can use the credential.
  • databricks_external_location are objects that combine a cloud storage path with a Storage Credential that can be used to access the location.

Example Usage

For AWS

resource "databricks_storage_credential" "external" {
  name = aws_iam_role.external_data_access.name
  aws_iam_role {
    role_arn = aws_iam_role.external_data_access.arn
  }
  comment = "Managed by TF"
}

resource "databricks_grants" "external_creds" {
  storage_credential = databricks_storage_credential.external.id
  grant {
    principal  = "Data Engineers"
    privileges = ["CREATE_EXTERNAL_TABLE"]
  }
}

For Azure

resource "databricks_storage_credential" "external_mi" {
  name = "mi_credential"
  azure_managed_identity {
    access_connector_id = azurerm_databricks_access_connector.example.id
  }
  comment = "Managed identity credential managed by TF"
}

resource "databricks_grants" "external_creds" {
  storage_credential = databricks_storage_credential.external.id
  grant {
    principal  = "Data Engineers"
    privileges = ["CREATE_EXTERNAL_TABLE"]
  }
}

For GCP

resource "databricks_storage_credential" "external" {
  name = "the-creds"
  databricks_gcp_service_account {}
}

resource "databricks_grants" "external_creds" {
  storage_credential = databricks_storage_credential.external.id
  grant {
    principal  = "Data Engineers"
    privileges = ["CREATE_EXTERNAL_TABLE"]
  }
}

Argument Reference

The following arguments are required:

  • name - Name of Storage Credentials, which must be unique within the databricks_metastore. Change forces creation of a new resource.
  • metastore_id - (Required for account-level) Unique identifier of the parent Metastore. If set for workspace-level, it must match the ID of the metastore assigned to the worspace. When changing the metastore assigned to a workspace, this field becomes required.
  • owner - (Optional) Username/groupname/sp application_id of the storage credential owner.
  • read_only - (Optional) Indicates whether the storage credential is only usable for read operations.
  • skip_validation - (Optional) Suppress validation errors if any & force save the storage credential.
  • force_destroy - (Optional) Delete storage credential regardless of its dependencies.
  • force_update - (Optional) Update storage credential regardless of its dependents.

aws_iam_role optional configuration block for credential details for AWS:

  • role_arn - The Amazon Resource Name (ARN) of the AWS IAM role for S3 data access, of the form arn:aws:iam::1234567890:role/MyRole-AJJHDSKSDF

azure_managed_identity optional configuration block for using managed identity as credential details for Azure (recommended over service principal):

  • access_connector_id - The Resource ID of the Azure Databricks Access Connector resource, of the form /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/rg-name/providers/Microsoft.Databricks/accessConnectors/connector-name.

  • managed_identity_id - (Optional) The Resource ID of the Azure User Assigned Managed Identity associated with Azure Databricks Access Connector, of the form /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/rg-name/providers/Microsoft.ManagedIdentity/userAssignedIdentities/user-managed-identity-name.

databricks_gcp_service_account optional configuration block for creating a Databricks-managed GCP Service Account:

  • email (output only) - The email of the GCP service account created, to be granted access to relevant buckets.

azure_service_principal optional configuration block to use service principal as credential details for Azure (Legacy):

  • directory_id - The directory ID corresponding to the Azure Active Directory (AAD) tenant of the application
  • application_id - The application ID of the application registration within the referenced AAD tenant
  • client_secret - The client secret generated for the above app ID in AAD. This field is redacted on output

Attribute Reference

In addition to all arguments above, the following attributes are exported:

  • id - ID of this storage credential - same as the name.

Import

This resource can be imported by name:

terraform import databricks_storage_credential.this <name>