Azure / Terraform - 带有存储队列的 azurerm_monitor_autoscale_setting

Question

当队列中的消息数量大于某个值时，我想创建一个规则来扩展应用服务计划。

队列定义如下所示：

resource "azurerm_storage_queue" "myqueue" {
  name                 = "myqueue"
  storage_account_name = "storageaccountname"
}

缩放规则如下所示：

    rule {
      metric_trigger {
        metric_name        = "ApproximateMessageCount"
        metric_resource_id = azurerm_storage_queue.myqueue.id
        time_grain         = "PT1M"
        statistic          = "Average"
        time_window        = "PT1M"
        time_aggregation   = "Average"
        operator           = "GreaterThanOrEqual"
        threshold          = 100
      }

      scale_action {
        direction = "Increase"
        type      = "ChangeCount"
        value     = "1"
        cooldown  = "PT10M"
      }
    }

问题出在metric_resource_id - 我不确定它所期望的确切属性或 ID。错误消息是The number of path segments is not divisible by 2。我相信这是因为队列的 id 只是它的名称，而 resource_id 应该类似于 /subscriptions/xxxxxxx/resourceGroups/xxxxxx/providers/Microsoft.Storage/storageAccounts/storageaccountname/services/queue/queues/myqueue" 但我不知道如何从 terraform 获取它。

Answer 1

azurerm_storage_queue.myqueue.id的输出是一个Url格式https://storageaccountname.queue.core.windows.net/mysamplequeue。

而metric_resource_id 要求发出指标的资源的资源 ID。据我所知，我们无法直接从 Terraform 资源属性中获取资源格式，但我们可以自构建资源 id 到

metric_resource_id = join("/",["${azurerm_storage_account.example.id}","services/queue/queues","mysamplequeue"])

例如，

rule {
  metric_trigger {
    metric_name        = "ApproximateMessageCount"
    metric_resource_id = join("/",["${azurerm_storage_account.example.id}","services/queue/queues","myqueue"])
    time_grain         = "PT1M"
    statistic          = "Average"
    time_window        = "PT5M"
    time_aggregation   = "Average"
    operator           = "GreaterThanOrEqual"
    threshold          = 100
  }