Learn how to capture and utilize the output of Terraform provisioners, simplifying your infrastructure management and automation tasks.
In Terraform, you can't directly capture the output of provisioners into variables. This is because Terraform prioritizes managing resources and their state, viewing provisioners as actions performed on those resources. However, while direct output capture isn't possible, you can employ workarounds to achieve similar results.
You can't directly capture the output of Terraform provisioners into variables. Terraform's execution model focuses on resources and their state, treating provisioners as actions performed on those resources.
While you can't store the output directly, you can use workarounds:
1. null_resource with local-exec:
null_resource with a local-exec provisioner to run your command.resource "null_resource" "example" {
provisioner "local-exec" {
command = "echo 'hello world' > output.txt"
}
}2. External Data Sources:
data source (like local_file, http, etc.) to fetch the output in subsequent resources.resource "null_resource" "example" {
provisioner "local-exec" {
command = "echo '{\"value\": \"hello\"}' > output.json"
}
}
data "local_file" "output" {
filename = "output.json"
}Limitations:
Alternatives:
This code provides workarounds for capturing output from Terraform provisioners using a null_resource with local-exec provisioner. The first workaround redirects the command output to a file and reads it using local_file data source. The second workaround sends data to an HTTP server and retrieves it using http data source. These workarounds have limitations and should be considered for simple scenarios.
This code demonstrates the workarounds for capturing output from Terraform provisioners.
1. null_resource with local-exec and file redirection:
resource "null_resource" "capture_output" {
provisioner "local-exec" {
# Execute a command and redirect its output to a file
command = "echo 'Hello from provisioner!' > output.txt"
}
}
# Read the output from the file using a local_file data source
data "local_file" "provisioner_output" {
filename = "${path.module}/output.txt"
}
output "captured_output" {
value = data.local_file.provisioner_output.content
}2. External Data Source (HTTP):
This example assumes you have a simple HTTP server running that returns the output.
resource "null_resource" "trigger_script" {
provisioner "local-exec" {
# Execute a script that sends data to an HTTP server
command = "./send_data.sh"
}
}
# Fetch the output from the HTTP server
data "http" "provisioner_output" {
url = "http://your-server/output"
}
output "captured_output" {
value = data.http.provisioner_output.body
}Explanation:
null_resource: We use null_resource as a placeholder to run the provisioner.local-exec: This provisioner executes arbitrary commands.>).local_file Data Source: We use local_file to read the content of the output file.http Data Source: In the second example, we use http to fetch data from an external HTTP server.Remember:
./send_data.sh and "http://your-server/output" with your actual script and server details.Remember that while these workarounds can be helpful, it's crucial to understand their limitations and potential drawbacks. Always prioritize using Terraform resources directly when possible and explore alternative tools for complex scenarios.
Problem: You can't directly store the output of Terraform provisioners into variables.
Workarounds:
| Method | Description | Example |
|---|---|---|
null_resource with local-exec |
Run a command using local-exec and capture its output via file redirection or other methods within the script. |
echo 'hello world' > output.txt |
| External Data Sources | Write provisioner output to a file or service, then read it using a data source like local_file or http. |
Write: echo '{"value": "hello"}' > output.jsonRead: data "local_file" "output" { filename = "output.json" }
|
Limitations of Workarounds:
Alternatives to Provisioners:
In conclusion, directly capturing the output of Terraform provisioners into variables isn't feasible due to Terraform's resource-centric execution model. While workarounds using null_resource and external data sources exist, they come with limitations, potentially introducing dependencies and complicating debugging. It's recommended to prioritize achieving desired outcomes using native Terraform resources whenever possible. For intricate orchestration needs that go beyond Terraform's core functionality, consider employing external tools like Terragrunt or dedicated configuration management systems. Always weigh the trade-offs and choose the approach that aligns best with your project's complexity and maintainability goals.
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