Learn how to use Terraform variables within variables to create dynamic and reusable infrastructure configurations.
You might be tempted to nest Terraform variables for dynamic naming or configuration, but Terraform doesn't directly support this. Trying to use a variable's value within the default
argument of another variable definition won't work due to Terraform's variable resolution order. Let's explore how to achieve this common use case correctly using Terraform's locals
block.
You can't directly nest Terraform variables within each other. Trying to use ${var.some_variable}
inside the default
argument of another variable definition won't work. Terraform evaluates variables in a specific order, and it can't resolve a variable that depends on another variable that hasn't been defined yet.
Here's how to achieve the desired outcome:
Define Base Variables: Start by defining the fundamental variables that other values might depend on.
variable "environment" {
type = string
default = "dev"
}
Use Locals for Derived Values: Terraform's locals
block is designed for creating values derived from other variables. This is where you combine or transform your base variables.
locals {
resource_name_prefix = "${var.environment}-myapp"
}
Reference Locals in Resources: Now you can use the calculated values stored in locals
within your resource definitions.
resource "aws_instance" "example" {
tags = {
Name = local.resource_name_prefix
}
}
Key Points:
locals
provide a way to create reusable values within your Terraform configuration, making it more readable and maintainable.Example:
Let's say you want to create resource names that combine an environment, a project code, and a resource type.
variable "environment" {
type = string
default = "prod"
}
variable "project_code" {
type = string
default = "myproject"
}
locals {
db_instance_name = "${var.environment}-${var.project_code}-database"
web_server_name = "${var.environment}-${var.project_code}-webserver"
}
resource "aws_db_instance" "example" {
identifier = local.db_instance_name
# ... other configurations
}
resource "aws_instance" "web" {
tags = {
Name = local.web_server_name
}
# ... other configurations
}
In this example, db_instance_name
and web_server_name
are dynamically generated based on the values of environment
and project_code
.
The Terraform code defines base variables for environment and project code and uses a locals block to create derived values for resource naming. It then uses these local values to define an AWS database instance and an AWS instance, ensuring consistent naming conventions across resources.
# Define base variables
variable "environment" {
type = string
default = "dev"
}
variable "project_code" {
type = string
default = "myapp"
}
# Use locals for derived values
locals {
resource_name_prefix = "${var.environment}-${var.project_code}"
db_instance_name = "${local.resource_name_prefix}-database"
web_server_name = "${local.resource_name_prefix}-webserver"
}
# Define resources using local values
resource "aws_db_instance" "example" {
identifier = local.db_instance_name
# ... other database configurations
}
resource "aws_instance" "web" {
ami = "ami-0c94855ba95c574c9" # Replace with your desired AMI
instance_type = "t2.micro"
tags = {
Name = local.web_server_name
}
# ... other instance configurations
}
Explanation:
environment
and project_code
as base variables with default values.locals
block:
resource_name_prefix
combines the environment and project code.db_instance_name
and web_server_name
use the resource_name_prefix
to create consistent naming.aws_db_instance
and aws_instance
resources use the values from locals
to set their identifiers and tags.How it Works:
environment
and project_code
variables.locals
block, using the resolved variable values.locals
.This approach keeps your code organized, improves readability, and makes it easy to manage naming conventions across your infrastructure.
Why this matters:
locals
makes your code cleaner and easier to understand, especially as your infrastructure grows.locals
block can be reused throughout your configuration, reducing redundancy.Best Practices:
locals
to make their purpose obvious.locals
block.Beyond the Basics:
locals
block to create values dynamically based on conditions.locals
to manipulate strings, lists, maps, and more.Troubleshooting:
terraform output
to inspect the values of your variables and locals
during development to ensure they are being calculated as expected.Remember: While it might seem convenient to nest variables directly, using locals
is the correct and more maintainable approach in Terraform.
This article explains how to manage variable dependencies in Terraform using locals
.
Problem: You cannot directly nest Terraform variables. Using ${var.some_variable}
within the default
argument of another variable definition won't work due to Terraform's variable resolution order.
Solution: Utilize the locals
block to create derived values from base variables.
Steps:
Define Base Variables: Declare fundamental variables like environment
with default values.
variable "environment" {
type = string
default = "dev"
}
Use Locals for Derived Values: Create reusable, calculated values within the locals
block using base variables.
locals {
resource_name_prefix = "${var.environment}-myapp"
}
Reference Locals in Resources: Utilize the calculated values stored in locals
within your resource definitions.
resource "aws_instance" "example" {
tags = {
Name = local.resource_name_prefix
}
}
Key Takeaways:
locals
enhance code readability and maintainability by providing reusable values.Alternatives for Complex Scenarios:
Example:
The article provides a practical example of generating dynamic resource names using environment
and project_code
variables combined within locals
. This demonstrates how to create consistent naming conventions across resources based on predefined variables.
By understanding Terraform's variable resolution process and leveraging the power of locals
, you can write cleaner, more maintainable, and error-free infrastructure code. Remember that while nested variables might seem appealing, using locals
is the correct and more robust approach for managing complex configurations in Terraform.