I have defined resource to provision databricks workspace on Azure using Terraform as follows which consumes the list ( of inputs from tfvar file for # of workspaces) and provision them.
resource "azurerm_databricks_workspace" "workspace" {
for_each = { for r in var.databricks_workspace_list : r.workspace_nm => r}
name = each.key
resource_group_name = each.value.resource_group_name
location = each.value.location
sku = "standard"
tags = {
Environment = "Dev"
}
}
I am trying to create additional resource as below
resource "databricks_instance_pool" "smallest_nodes" {
instance_pool_name = "Smallest Nodes"
min_idle_instances = 0
max_capacity = 300
node_type_id = data.databricks_node_type.smallest.id // data block is defined
idle_instance_autotermination_minutes = 10
}
To create instance pool, I need to pass workspace id in databricks provider block as below
provider "databricks" {
azure_client_id= *******
azure_client_secret= *******
azure_tenant_id= *******
azure_workspace_resource_id = azurerm_databricks_workspace.workspace.id
}
But when I do terraform plan, it fails with below error
Missing resource instance key
azure_workspace_resource_id = azurerm_databricks_workspace.workspace.id
Because azure_workspace_resource_id = azurerm_databricks_workspace has for_each set, its attribute must be accessed on specific instances.
For example, to correlate indices , use :
azurerm_databricks_workspace[each.key]
I couldnt use for_each in provider block, also not able to find out way to index workspace id in provider block. Appreciate your inputs.
TF version : 0.13
Azure RM : 3.10.0
Databricks : 0.5.7
The problem is that you can create multiple workspaces when you're using for_each in the azurerm_databricks_workspace resource. But your provider block is trying to refer to a "generic" resource instance, so it's complaining.
The solution here would be either:
Remove for_each if you're creating just one workspace
instead of azurerm_databricks_workspace.workspace.id, you need to refer azurerm_databricks_workspace.workspace[<name>].id where the <name> is the specific instance of Databricks from the list of workspaces.
P.S. Your databricks_instance_pool resource doesn't have explicit depends_on, so the operation will fail with authentication error as described here.