在 terraform 中的 azure ML studio 中創建數據存儲

Question

嘗試在 terraform 的 Azure ML 工作室中創建數據存儲：

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"
  }  
}

它拋出以下錯誤：

│ 錯誤：缺少必需的參數│ │ 參數“tenant_id”是必需的，但未設置。 ╵╷│錯誤：缺少必需的參數││參數“client_id”是必需的，但未設置。 ╵╷│錯誤：缺少必需的參數││參數“client_secret”是必需的，但未設置。 ╵╷│錯誤：缺少必需的參數││參數“subscription_id”是必需的，但未設置。

當我添加上述屬性時：

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"
  } 

我收到以下錯誤：

│ 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.

有人可以幫我嗎？

Answer 1

缺少的 arguments 錯誤是針對provider塊而不是針對資源塊的：

provider "azureml" {
  client_id       = "Storage Account ID"
  client_secret   = "storage account primary key"
  tenant_id       = "XXXX"
  subscription_id = "XXXX"
}

您可以查看文檔以獲取更多信息。