Trying to create a datastore in Azure ML studio in terraform:
resource "azureml_datastore" "output_datastore" {
resource_group_name = var.resource_group_name
workspace_name = azurerm_machine_learning_workspace.AML.name
name = "outputdatastore"
storage_type = "AzureBlob"
storage_account_name = "bapstorageaccount945"
storage_container_name = "predictioncontainer"
auth {
credentials_type = "AccountKey"
account_key = "storage account primary key"
}
}
It is throwing following error:
│ Error: Missing required argument │ │ The argument "tenant_id" is required, but was not set. ╵ ╷ │ Error: Missing required argument │ │ The argument "client_id" is required, but was not set. ╵ ╷ │ Error: Missing required argument │ │ The argument "client_secret" is required, but was not set. ╵ ╷ │ Error: Missing required argument │ │ The argument "subscription_id" is required, but was not set.
When I add the above attributes:
resource "azureml_datastore" "output_datastore" {
resource_group_name = var.resource_group_name
workspace_name = azurerm_machine_learning_workspace.AML.name
name = "outputdatastore"
storage_type = "AzureBlob"
storage_account_name = "bapstorageaccount945"
storage_container_name = "predictioncontainer"
auth {
credentials_type = "AccountKey"
tenant_id = "XXXX"
client_id = "Storage Account ID"
client_secret = "storage account primary key"
subscription_id = "XXXX"
account_key = "storage account primary key"
}
I get following error:
│ Error: Unsupported argument
│
│ on MLStudio\main.tf line 74, in resource "azureml_datastore" "output_datastore":
│ 74: subscription_id = "XXXX"
│
│ An argument named "subscription_id" is not expected here.
Can somebody help me on this?
CodePudding user response:
The missing arguments errors are for the provider
block and not for the resource block:
provider "azureml" {
client_id = "Storage Account ID"
client_secret = "storage account primary key"
tenant_id = "XXXX"
subscription_id = "XXXX"
}
You can check the documentation for more information.