Terraform Data Sources: Accessing Existing Infrastructure
Terraform's power lies not only in provisioning new infrastructure but also in interacting with existing resources. Data sources are a fundamental mechanism for this interaction, allowing your Terraform configurations to read information about infrastructure that was provisioned outside of your current Terraform configuration or by a different Terraform configuration.
What are Terraform Data Sources?
Data sources enable Terraform to fetch information about infrastructure resources that are not managed by the current Terraform configuration. This is crucial for several reasons: referencing existing resources, discovering dynamic values, and integrating with infrastructure managed by other teams or tools.
Data sources allow Terraform to read information about existing infrastructure.
Think of data sources as Terraform's way of asking questions about your environment. They let you query for details about resources that Terraform didn't create itself, like an existing VPC, a specific AMI ID, or the current state of a database.
Data sources are declared in Terraform configuration files using the data
block. They specify the type of resource to query and arguments to filter or identify the specific resource. Once retrieved, the attributes of the data source can be referenced in your Terraform configuration, just like attributes of resources you manage.
Common Use Cases for Data Sources
Data sources are incredibly versatile. Here are some common scenarios where they shine:
How Data Sources Work
When Terraform plans an execution, it first reads all the data sources. It queries the relevant infrastructure provider (e.g., AWS, Azure, GCP) to retrieve the requested information. If a data source cannot find the requested resource or encounters an error, Terraform will halt the plan. Once the data is successfully retrieved, Terraform uses these values to configure the resources it manages.
To read information about existing infrastructure that is not managed by the current Terraform configuration.
Example: Fetching an AWS AMI ID
Let's illustrate with a common example: finding the latest Amazon Linux 2 AMI ID for use in an EC2 instance. This avoids hardcoding AMI IDs, which can quickly become outdated.
The data
block defines a data source. The first argument is the data source type (e.g., aws_ami
), followed by a local name (e.g., amazon_linux
). The filter
block specifies criteria to find the desired AMI. Here, we filter by name
containing 'amzn2-ami-hvm-2.0.20230614.0-x86_64-gp2' and most_recent = true
. The output
block then references the id
attribute of the retrieved AMI.
Text-based content
Library pages focus on text content
In this example:
data "aws_ami" "amazon_linux" {most_recent = trueowners = ["amazon"]filter {name = "name"values = ["amzn2-ami-hvm-*-x86_64-gp2"]}filter {name = "virtualization-type"values = ["hvm"]}}resource "aws_instance" "example" {ami = data.aws_ami.amazon_linux.idinstance_type = "t2.micro"tags = {Name = "HelloWorld"}}
Terraform will look up the most recent Amazon Linux 2 AMI and use its ID to launch the
aws_instance
Key Attributes and Considerations
When using data sources, remember:
Data sources are essential for building robust and dynamic Terraform configurations that adapt to your existing environment.
Summary
Terraform data sources are a powerful feature that allows your infrastructure code to be aware of and interact with existing resources. By fetching information about infrastructure not managed by the current configuration, you can create more flexible, dynamic, and integrated infrastructure deployments.
Learning Resources
The official HashiCorp documentation explaining the concept and syntax of Terraform data sources.
A comprehensive list of all available AWS data sources in the Terraform registry, with examples.
Explore the various Azure data sources supported by Terraform, including their attributes and usage.
Discover the Google Cloud Platform data sources available for Terraform, with practical examples.
An in-depth blog post explaining the benefits and common patterns for using Terraform data sources.
A video tutorial demonstrating how to effectively use data sources in Terraform with practical examples.
Official Terraform examples showcasing various data source use cases across different providers.
A blog post discussing best practices for writing Terraform code, including effective use of data sources.
A tutorial from DigitalOcean explaining the fundamentals of Terraform data sources and their application.
Specific documentation for the `aws_caller_identity` data source, useful for understanding current AWS credentials.