The BucketAlreadyExists error occurs when Terraform attempts to create an S3 bucket that already exists in AWS. Since S3 bucket names are globally unique across all AWS accounts, this error indicates either the bucket was previously created, or another account owns that name.
The BucketAlreadyExists error means the S3 bucket name you specified is already claimed by another AWS account or was created by a previous operation in your account. S3 bucket names are globally unique - no two buckets across all AWS regions and accounts can share the same name. This is a fundamental constraint of the S3 service that Terraform enforces when attempting resource creation.
First, confirm the bucket name is actually taken:
aws s3api head-bucket --bucket my-bucket-name --region us-east-1If this returns without error (HTTP 200), the bucket exists. If it returns 404, the bucket is available but cached. If it returns 403, the bucket exists but you lack permissions.
If you own the bucket and want Terraform to manage it:
terraform import aws_s3_bucket.my_bucket my-bucket-nameReplace "my_bucket" with your resource name and "my-bucket-name" with the actual bucket name. This updates your state file without modifying the bucket.
Let Terraform generate a unique suffix by using bucket_prefix instead of bucket:
resource "aws_s3_bucket" "my_bucket" {
bucket_prefix = "my-app-"
}Terraform will create a bucket like "my-app-a1b2c3d4e5f6". AWS appends 8 random characters to ensure uniqueness.
Make the bucket name globally unique by including your AWS account ID or a random identifier:
data "aws_caller_identity" "current" {}
resource "aws_s3_bucket" "my_bucket" {
bucket = "my-app-${data.aws_caller_identity.current.account_id}"
}This ensures each AWS account gets a unique bucket name.
List resources in your state to see if the bucket is already tracked:
terraform state list | grep s3_bucket
terraform state show aws_s3_bucket.my_bucketIf the resource exists in state, remove it and re-import:
terraform state rm aws_s3_bucket.my_bucket
terraform import aws_s3_bucket.my_bucket my-bucket-nameIf the bucket is orphaned and you want to start fresh:
# First, remove all objects
aws s3 rm s3://my-bucket-name --recursive
# Then delete the bucket
aws s3 rb s3://my-bucket-name
# Now run Terraform apply
terraform applyBe cautious - this permanently deletes all bucket contents!
## S3 Bucket Naming Constraints
- Names must be 3-63 characters, lowercase, no underscores
- Must start/end with letter or number
- Cannot be an IP address (e.g., "192.168.1.1")
- Globally unique across all AWS accounts and regions
## Cross-Region Considerations
You cannot have the same bucket name in multiple regions. However, you can have the same name with different suffixes in different regions using a pattern like: "my-bucket-us-east-1", "my-bucket-eu-west-1"
## Terraform State Synchronization
If you delete the bucket manually but Terraform state still references it, use terraform state rm to clean up, then re-import if needed. This prevents divergence between your infrastructure and Terraform's understanding of it.
## Import Workflow
When importing, all resource settings must be defined in your Terraform code before import. Import only brings the resource under Terraform management - it does not export configuration. You must manually code the resource properties.
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