Terraform Data Sources and Dependencies: Implicit vs. Explicit
Published on: November 3, 2023 | Author: DevOps Engineering Team
Welcome to Part 6 of our Terraform Mastery Series! As your infrastructure grows more complex, you'll need to reference existing resources and manage intricate relationships between components. Data sources and dependency management are the keys to building sophisticated, interconnected systems that work harmoniously together.
What You'll Learn
What are Data Sources?
Data sources allow Terraform to fetch and reference information from outside your configuration. Unlike resources, data sources don't create or manage infrastructure - they only read existing data.
Data Source Purpose
- Fetch information about existing infrastructure
- Reference resources created outside Terraform
- Get dynamic data from cloud providers
- Share information between configurations
When to Use Data Sources
- Referencing existing VPCs and subnets
- Getting the latest AMI IDs
- Reading existing security group rules
- Fetching availability zone information
Data Source vs Resource
Resources create and manage infrastructure. Data sources only read existing information. Data sources are declared with the data block instead of resource.
Common Data Source Examples
Let's explore the most frequently used data sources through an interactive slider:
Implicit Dependencies Explained
Terraform automatically detects dependencies when you reference one resource from another. This is called implicit dependency.
Explicit Dependencies with depends_on
Sometimes Terraform can't automatically detect dependencies. Use depends_on for explicit dependency declaration.
When to Use depends_on
- Resources that don't directly reference each other
- Side-effect dependencies
- Resources in different modules
- When Terraform can't infer the relationship
Common Scenarios
- IAM roles and instance profiles
- Database initialization scripts
- Resource creation ordering requirements
- Cross-module dependencies
Common Dependency Pitfalls
Avoid these common mistakes when working with dependencies:
Circular Dependencies
# This will fail!
resource "aws_security_group" "web" {
ingress {
from_port = 80
to_port = 80
protocol = "tcp"
security_groups = [aws_security_group.lb.id]
}
}
resource "aws_security_group" "lb" {
egress {
from_port = 80
to_port = 80
protocol = "tcp"
security_groups = [aws_security_group.web.id]
}
}
Solution: Use self-references or restructure your security groups.
Overusing depends_on
# Unnecessary depends_on
resource "aws_instance" "web" {
ami = "ami-123456"
instance_type = "t3.micro"
subnet_id = aws_subnet.web.id
# This is redundant!
depends_on = [aws_subnet.web]
}
Solution: Let Terraform handle implicit dependencies when possible.
Data Source and Dependency Best Practices
Data Source Guidelines
- Use specific filters for data sources
- Handle cases where data sources might not find anything
- Use data sources for cross-account references
- Cache data source results when appropriate
Dependency Management
- Prefer implicit dependencies over explicit ones
- Use
depends_onsparingly and document why - Test dependency chains with
terraform graph - Break circular dependencies by restructuring
Real-World Implementation
Here's a complete example showing data sources and dependencies working together:
Key Takeaways
- Data sources fetch information about existing infrastructure
- Implicit dependencies are automatically detected through references
- Explicit dependencies with
depends_onhandle special cases - Avoid circular dependencies by designing resource relationships carefully
- Use
terraform graphto visualize and debug dependency chains
In our next tutorial, we'll explore Terraform Modules, where you'll learn how to create reusable, composable infrastructure components that can be shared across your organization.
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