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Percona Backup for MongoDB 2.4.0 (2024-03-05)

Installation

Percona Backup for MongoDB is a distributed, low-impact solution for consistent backups of MongoDB sharded clusters and replica sets. This is a tool for creating consistent backups across a MongoDB sharded cluster (or a non-sharded replica set), and for restoring those backups to a specific point in time.

Release Highlights

  • You can now delete backup snapshots of a specific type. For example, delete only logical backups which you might have created and no longer need. You can also check what exactly will be deleted with the new --dry-run flag. This improvement helps you better meet the organization’s backup policy and improves your experience with cleaning up outdated data.
  • Point-in-time recovery oplog slicing is now running in parallel with backup snapshots. This ensures that you can make a point-in-time recovery to any timestamp from very large backups that take hours to make.
  • Percona Backup for MongoDB packages are now also available for ARM64 architectures. Thus, users can not only run Percona Backup for MongoDB in Docker containers on ARM-based workstations but also install the packages on those workstations. The ARM64 packages are available for the following operating systems:

    • Ubuntu 20.04 (Focal Fossa)
    • Ubuntu 22.04 (Jammy Jellyfish)
    • Red Hat Enterprise Linux 8 and compatible derivatives
    • Red Hat Enterprise Linux 9 and compatible derivatives

Improvements

  • PBM-907 - Upload oplog chunks during backups

  • PBM-1141 - Add ability to delete backups by a specific type

  • PBM-1187 Add --wait option to pbm config --force-resync

Bugs Fixed

  • PBM-1210 - Fixed the issue with backups not cancelling when running pbm cancel backup

  • PBM-1231 - Fixed the issue with the failing restore to a new cluster

  • PBM-1223 - Fixed an unknown transaction id error during logical restore

Get expert help

If you need assistance, visit the community forum for comprehensive and free database knowledge, or contact our Percona Database Experts for professional support and services.


Last update: May 16, 2024
Created: May 16, 2024