terraform runtime_error ai_generated true

Error: state snapshot was created by Terraform v1.6, which is newer than current v1.5

ID: terraform/state-version-mismatch-major-upgrade

Also available as: JSON · Markdown · 中文
95%Fix Rate
85%Confidence
1Evidence
2024-06-01First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
Terraform v1.5.0 active — — —
Terraform v1.6.0 active — — —
Terraform v1.7.0 active — — —

Root Cause

The Terraform state file was written by a newer version of Terraform (v1.6) and cannot be read by the older version (v1.5) due to incompatible state format changes.

generic

中文

Terraform 状态文件由较新版本的 Terraform（v1.6）写入，无法被较旧版本（v1.5）读取，因为状态格式不兼容。

Official Documentation

https://developer.hashicorp.com/terraform/language/state/backends

Workarounds

  1. 100% success Upgrade the local Terraform version to match or exceed the version that wrote the state: install Terraform v1.6 or later via `tfenv install 1.6.0 && tfenv use 1.6.0` 
    Upgrade the local Terraform version to match or exceed the version that wrote the state: install Terraform v1.6 or later via `tfenv install 1.6.0 && tfenv use 1.6.0`
  2. 70% success If you must use an older version, restore a state backup from before the newer version was used (if available): `aws s3 cp s3://bucket/terraform.tfstate.backup terraform.tfstate` 
    If you must use an older version, restore a state backup from before the newer version was used (if available): `aws s3 cp s3://bucket/terraform.tfstate.backup terraform.tfstate`

中文步骤

  1. Upgrade the local Terraform version to match or exceed the version that wrote the state: install Terraform v1.6 or later via `tfenv install 1.6.0 && tfenv use 1.6.0`
  2. If you must use an older version, restore a state backup from before the newer version was used (if available): `aws s3 cp s3://bucket/terraform.tfstate.backup terraform.tfstate`

Dead Ends

Common approaches that don't work:

  1. 100% fail

    Terraform does not support backward state compatibility. Once state is written by a newer version, older versions cannot parse it.

  2. 100% fail

    The state format is not just a version number; the internal serialization changed. Editing the version field corrupts the state and may cause data loss.