This guide explains how to list and manipulate Terraform state files using various state commands.
In this guide, you will learn how to list and manipulate Terraform state files using various Terraform state commands. The state file is stored in JSON format, and it is crucial not to edit it manually. Instead, use the provided commands to safely work with your state.Terraform state commands follow this basic syntax: terraform state [subcommand] [options] [address]Each subcommand—such as list, show, move (mv), pull, or rm—is designed to perform a specific operation on the state file.
The list subcommand displays all resource addresses recorded in the Terraform state file. For example, to list all resources:
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$ terraform state listaws_dynamodb_table.carsaws_s3_bucket.finance-2020922
You can also provide an additional argument to filter for a specific resource address. If a match is found, only the matching resource(s) will be returned.
To inspect detailed attributes of a particular resource, use the show subcommand. For example, to display all attributes for the S3 bucket resource finance-2020922, run:
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$ terraform state show aws_s3_bucket.finance-2020922resource "aws_s3_bucket" "terraform-state" { acl = "private" arn = "arn:aws:s3:::finance-2020922" bucket = "finance-2020922" bucket_domain_name = "finance-2020922.s3.amazonaws.com" bucket_regional_domain_name = "finance-2020922.s3.us-west-1.amazonaws.com" force_destroy = false hosted_zone_id = "Z2F5ABCDE1ACD" id = "finance-2020922" region = "us-west-1" request_payer = "BucketOwner" tags = { "Description" = "Bucket to store Finance and Payroll Information" }}versioning { enabled = false mfa_delete = false}
The move subcommand (or its alias mv) is used to change a resource’s address within the state file. This command is particularly useful when you want to rename a resource without recreating it. It requires specifying both a source address and a destination address.Consider the following example where you have a DynamoDB table defined in your Terraform configuration and state:
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resource "aws_dynamodb_table" "state-locking" { name = "state-locking" billing_mode = "PAY_PER_REQUEST" hash_key = "LockID" attribute { name = "LockID" type = "S" }}
And the corresponding state file entry appears as:
To rename the resource from state-locking to state-locking-db without having to recreate it, execute:
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$ terraform state mv aws_dynamodb_table.state-locking aws_dynamodb_table.state-locking-dbMove "aws_dynamodb_table.state-locking" to "aws_dynamodb_table.state-locking-db"Successfully moved 1 object(s).
After moving the state, update your configuration file as shown below:
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resource "aws_dynamodb_table" "state-locking-db" { name = "state-locking-db" billing_mode = "PAY_PER_REQUEST" hash_key = "LockID" attribute { name = "LockID" type = "S" }}
When you run terraform apply afterward, Terraform should detect no changes for the renamed resource:
When using remote state, the state file is not saved locally in your configuration directory. Use the pull subcommand to download and print the remote state. For example:
You can pipe the output to JSON query tools like jq for further data manipulation. For instance, to filter and display the hash_key attribute of the state-locking-db table, run:
The rm (or remove) subcommand deletes one or more resources from the Terraform state file. Removing a resource detaches it from Terraform management without destroying the actual infrastructure. For example, to remove the S3 bucket resource from the state, run:
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$ terraform state rm aws_s3_bucket.finance-2020922Acquiring state lock. This may take a few moments...Removed aws_s3_bucket.finance-2020922Successfully removed 1 resource instance(s).Releasing state lock. This may take a few moments...
After removing a resource from the state, remember to also delete or comment out the corresponding resource block in your Terraform configuration file.
That concludes this lesson on Terraform state commands. In the next section, you’ll have the opportunity to work on hands-on labs and practice using these commands in real-world scenarios.For more information about Terraform and managing infrastructure as code, be sure to explore the Terraform Documentation.