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Version: v18.5.0

Upgrading from Aurora Serverless V1 to V2

There are 2 approaches to this migration

Option 1: Snapshot and Restore (simple process, more downtime)

  1. Take a manual snapshot of the v1 instance, including the current YYYY-MM-DD in the name of the snapshot. Wait for successful completion showing Status = Available. If this is an initial snapshot of the instance, it may take a substantial amount of time to complete.
  2. Ensure delete protection is turned off on the v1 instance, as it will be deleted and replaced with a v2 cluster and instance. Deletion protection can be toggled in the AWS Console under RDS > Databases > select database > Modify.
  3. Run "terraform show" to view the current state for module.rds_cluster.aws_rds_cluster.cumulus. Ensure final_snapshot_identifier is set in resource "aws_rds_cluster" "cumulus". Copy the value. If a snapshot exists with that name, delete that snapshot. Ensure skip_final_snapshot is false in resource "aws_rds_cluster" "cumulus".
  4. Update /example/rds-cluster-tf/terraform.tfvars (or custom .tfvars filename) to: remove: enable_upgrade add: snapshot_identifier = "final_snapshot_identifier" (Paste value from prior step)
  5. Stop ingest.
  6. Run "terraform apply" to create a new v2 cluster and instance(s) based on the v1 final snapshot, using the updated tfvars file (or custom .tfvars filename). Wait for completion. terraform apply -var-file=terraform.tfvars (or custom .tfvars filename)
  7. Resume ingest.
  8. The end result is the new v2 cluster is created containing the existing v1 data.

Option 2: Blue/Green Cutover (complex process, less downtime)

Please see AWS instructions for setting up a blue/green deployment.