Learn how to use Terraform to create archive files like zip, tar, and gzip for efficient infrastructure provisioning and deployment.
The archive_file
resource is deprecated. You should now use the archive_file
data source to create archive files in your Terraform code.
The archive_file
resource is deprecated. Use the archive_file
data source instead.
Here's how to create an archive file using the archive_file
data source:
Define the data source:
data "archive_file" "example" {
type = "zip"
output_path = "example.zip"
source {
content = "example content"
filename = "example.txt"
}
}
This code defines a data source named "example" that creates a zip archive named "example.zip". The archive contains a single file named "example.txt" with the content "example content".
Reference the archive file:
You can reference the created archive file using the output_path
attribute:
resource "aws_s3_object" "example" {
bucket = "my-bucket"
key = "example.zip"
source = data.archive_file.example.output_path
}
This code defines an AWS S3 object resource that uploads the "example.zip" file to the "my-bucket" bucket.
Key points:
source
to specify individual files to include in the archive.source_dir
to include the entire contents of a directory.for_each
and fileset
to iterate over multiple files or directories.output_file_mode
attribute allows you to set the file permissions for the archived files.archive_file
data source is evaluated during the planning phase, so the archive file is created before any resources that depend on it.This Terraform code defines infrastructure that creates a zip archive containing HTML, CSS, and images from an 'images' directory. It then uploads this archive to an AWS S3 bucket. The code configures the AWS provider, sets variables for the bucket name and region, creates the S3 bucket, defines the archive content and structure, uploads the archive to the bucket, and finally outputs the URL of the uploaded archive.
This example demonstrates how to create a zip archive containing multiple files and a directory, then upload it to an AWS S3 bucket using the archive_file
data source.
# Configure the AWS Provider
terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 4.0"
}
}
}
# Configure variables for S3 bucket and region
variable "bucket_name" {
description = "Name of the S3 bucket"
type = string
}
variable "region" {
description = "AWS region"
type = string
default = "us-west-2"
}
# Create an S3 bucket
resource "aws_s3_bucket" "example" {
bucket = var.bucket_name
region = var.region
force_destroy = true # Use with caution! This will delete all objects in the bucket before deleting the bucket itself.
}
# Define the archive_file data source
data "archive_file" "website_archive" {
type = "zip"
output_path = "website.zip"
source {
content = "<h1>Welcome to my website!</h1>"
filename = "index.html"
}
source {
content = "body { font-family: sans-serif; }"
filename = "styles.css"
}
source_dir {
path = "images"
}
}
# Upload the archive to S3
resource "aws_s3_object" "example_archive" {
bucket = aws_s3_bucket.example.id
key = "website.zip"
source = data.archive_file.website_archive.output_path
# Make the object publicly readable
acl = "public-read"
}
# Output the S3 object URL
output "s3_object_url" {
value = "https://${aws_s3_bucket.example.bucket_regional_domain_name}/${aws_s3_object.example_archive.key}"
}
Explanation:
archive_file
Data Source: This section defines the archive_file
data source named "website_archive". It specifies:
type
: The archive type, in this case, "zip".output_path
: The path where the archive file will be created ("website.zip").source
: Defines individual files to include in the archive:
source_dir
: Includes the entire contents of the "images" directory in the archive.aws_s3_object
resource that uploads the created "website.zip" file to the S3 bucket.To use this code:
terraform init
to initialize the provider.terraform apply
to create the resources and upload the archive.This example demonstrates a basic use case for the archive_file
data source. You can adapt it to your specific needs by modifying the file content, adding more files or directories, and changing the archive type. Remember to replace the placeholder values with your actual bucket name and region.
archive_file
resource and favoring the archive_file
data source promotes better Terraform practices. Data sources are designed for fetching and computing data, making them a more appropriate tool for creating archives, which are essentially derived data.archive_file
data source helps ensure idempotency in your Terraform code. Since the archive is created during the planning phase, Terraform can determine if the archive needs to be recreated based on changes to its content or configuration.archive_file
data source offers flexibility in defining archive content. You can:
for_each
and fileset
for dynamic archive generation based on multiple files or directories.output_file_mode
) of the generated archive, especially if it contains sensitive information.archive_file
is a convenient option for simple scenarios, consider dedicated tools like zip
, tar
, or build systems for more complex archiving needs, especially when dealing with large files or performance is critical.Remember: Always consult the official Terraform documentation for the archive_file
data source for the most up-to-date information and detailed usage instructions: https://registry.terraform.io/providers/hashicorp/archive/latest/docs/data-sources/file
This article explains how to create archive files in Terraform using the archive_file
data source, which replaces the deprecated archive_file
resource.
Here's a breakdown:
Define the data source: Use data "archive_file" "name" {}
to define the archive. Specify the archive type (zip
, tar
, etc.), output path, and the files to include using the source
block. You can include individual files or entire directories.
Reference the archive: Access the created archive file path using the output_path
attribute of the data source. This path can be used in other resources, like uploading to cloud storage.
Key advantages of using the archive_file
data source:
source
and source_dir
.for_each
and fileset
to dynamically create archives from multiple sources.output_file_mode
.The archive_file
data source in Terraform provides a robust and flexible way to create archives, replacing the deprecated archive_file
resource. By defining the archive content and structure within your Terraform code, you can ensure consistent and reproducible deployments. This approach is particularly useful for packaging and deploying applications, configurations, or website assets to various platforms. Remember to leverage the power of for_each
and fileset
for dynamic archive generation and manage file permissions carefully. For complex scenarios or performance-critical applications, consider using dedicated archiving tools alongside Terraform. Always refer to the official Terraform documentation for the most up-to-date information on the archive_file
data source.