Oracle Flashback Equivalent in aurora Postgres

For migrating Oracle Flashback operations to Aurora PostgreSQL, you should use Aurora snapshots as the primary mechanism for point-in-time recovery. Aurora snapshots are the equivalent backup and restore mechanism for Aurora PostgreSQL databases.

Aurora provides two types of backups: automated backups (always enabled with no performance impact) and manual snapshots (which you can create at any time, also with no performance impact). Unlike Oracle Flashback which operates at the table level, Aurora snapshots work at the cluster level.

To achieve minimal turnaround time for your batch job scenario, consider this approach:

1. Take a manual snapshot before your batch job runs using the AWS CLI or Management Console
2. If you need to restore, create a new Aurora cluster from that snapshot
3. Add instances to the new cluster
4. Use PostgreSQL utilities to copy the specific tables from the restored cluster back to your original cluster

The key difference from Oracle is that Aurora snapshots are extremely fast and nonintrusive to take, but restoration requires creating a new cluster instance rather than an in-place restore. You can restore to either the exact time when a snapshot was taken or to any other point in time within your backup retention window.

For your specific use case with tables that are hundreds of gigabytes, you'll need to factor in the time to create the new cluster from the snapshot and then copy the specific tables back. While this isn't as instantaneous as Oracle Flashback Table, Aurora's snapshot architecture is designed for speed and doesn't require incremental backups like traditional backup solutions.

You should configure an appropriate backup retention window during database creation to ensure you have sufficient point-in-time recovery capability for your batch job requirements.
Sources
Oracle Flashback Table and Amazon Aurora PostgreSQL snapshots - Oracle to Aurora PostgreSQL Migration Playbook
Oracle Flashback Table and MySQL snapshots - Oracle to Aurora MySQL Migration Playbook

While the re:Post Agent’s response correctly identifies that Aurora PostgreSQL lacks an in-place, table-level equivalent to Oracle Flashback, relying on Snapshot Restores will not meet your requirement for a minimal Turn-Around Time (TAT). Oracle Flashback relies on UNDO segments for rapid in-place rollbacks. Aurora standard snapshot restores require provisioning a new cluster from S3, which is too slow for rapid batch job rollbacks. To achieve near-instantaneous TAT for 100GB tables in Aurora PostgreSQL, you should use one of these two approaches instead:

1. Schema-Level: Table Swapping (Fastest) The standard PostgreSQL equivalent for batch job rollbacks is metadata renaming.

• Before the job: ALTER TABLE target_table RENAME TO target_table_backup;
• Run your batch job on a newly created target_table (using LIKE target_table_backup).
• If the job fails, drop the new table and rename the backup back. This is a metadata-only operation that executes in milliseconds, practically matching or outperforming Oracle Flashback times.

2. Storage-Level: Aurora Fast Database Cloning If application-level table swapping is not an option, do not use standard manual snapshots. Use Aurora Fast Database Cloning. Unlike snapshots, Aurora Cloning uses a Copy-on-Write (CoW) protocol at the storage volume level. It provisions a new cluster almost instantly without duplicating the underlying data blocks. If your batch job corrupts the primary database, you can quickly extract the pre-batch data from the clone.

• AWS Reference: Cloning a volume for an Amazon Aurora DB cluster -> https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Clone.html