Azure Data Factory Linked Service Azure Databricks
This page shows how to write Terraform and Azure Resource Manager for Data Factory Linked Service Azure Databricks and write them securely.
azurerm_data_factory_linked_service_azure_databricks (Terraform)
The Linked Service Azure Databricks in Data Factory can be configured in Terraform with the resource name azurerm_data_factory_linked_service_azure_databricks
. The following sections describe how to use the resource and its parameters.
Example Usage from GitHub
An example could not be found in GitHub.
Parameters
-
access_token
optional - string -
adb_domain
required - string -
additional_properties
optional - map from string to string -
annotations
optional - list of string -
data_factory_name
required - string -
description
optional - string -
existing_cluster_id
optional - string -
id
optional computed - string -
integration_runtime_name
optional - string -
msi_work_space_resource_id
optional - string -
name
required - string -
parameters
optional - map from string to string -
resource_group_name
required - string -
instance_pool
list block-
cluster_version
required - string -
instance_pool_id
required - string -
max_number_of_workers
optional - number -
min_number_of_workers
optional - number
-
-
key_vault_password
list block-
linked_service_name
required - string -
secret_name
required - string
-
-
new_cluster_config
list block-
cluster_version
required - string -
custom_tags
optional - map from string to string -
driver_node_type
optional - string -
init_scripts
optional - list of string -
log_destination
optional - string -
max_number_of_workers
optional - number -
min_number_of_workers
optional - number -
node_type
required - string -
spark_config
optional - map from string to string -
spark_environment_variables
optional - map from string to string
-
-
timeouts
single block
Explanation in Terraform Registry
Manages a Linked Service (connection) between Azure Databricks and Azure Data Factory.
Tips: Best Practices for The Other Azure Data Factory Resources
In addition to the azurerm_data_factory, Azure Data Factory has the other resources that should be configured for security reasons. Please check some examples of those resources and precautions.
azurerm_data_factory
Ensure to disable public access
It is better to disable public access for Data Factory, which is enabled as default.
Microsoft.DataFactory/factories/linkedservices (Azure Resource Manager)
The factories/linkedservices in Microsoft.DataFactory can be configured in Azure Resource Manager with the resource name Microsoft.DataFactory/factories/linkedservices
. The following sections describe how to use the resource and its parameters.
Example Usage from GitHub
An example could not be found in GitHub.
Parameters
apiVersion
required - stringname
required - stringThe linked service name.
properties
requiredadditionalProperties
optional - objectUnmatched properties from the message are deserialized this collection
annotations
optional - arrayList of tags that can be used for describing the linked service.
connectVia
optionalparameters
optional - objectAn object mapping parameter names to argument values.
referenceName
required - stringReference integration runtime name.
type
required - stringType of integration runtime.
description
optional - stringLinked service description.
parameters
optional - undefinedDefinition of all parameters for an entity.
type
required - string