Database Version Upgrade Checklist
A pre-flight checklist for upgrading a database engine to a new major version with minimal risk. It centers on rehearsing the upgrade on a production clone, benchmarking for query-plan regressions, and confirming driver compatibility. Use it before any major version upgrade.
When to Use This Checklist
Use this checklist when upgrading a database engine to a new major version, such as PostgreSQL 12 to 16 or an older MySQL to a current release. Major upgrades bring performance and security gains but can also change query-planner behavior, deprecate features, and break drivers. A disciplined upgrade protects data integrity and availability.
How to Use This Checklist
Begin with discovery: read the release notes for breaking changes and inventory the features and settings you depend on. Confirm driver and ORM compatibility before scheduling anything. The heart of the checklist is rehearsal: clone production, upgrade the clone, run the test suite, and benchmark critical queries, because optimizer changes can silently regress performance. Always have a verified backup and a defined rollback before touching production.
What Good Looks Like
A safe upgrade is rehearsed on a production clone with the full test suite passing and critical queries benchmarked for plan regressions. Drivers and ORMs are confirmed compatible, and a verified backup exists before any action. The upgrade method fits the availability requirement, whether in-place, dump and restore, or a replica switchover. Statistics are refreshed afterward, and the system is monitored for errors, latency, and replication health. A rollback path is ready if needed.
Common Pitfalls
The most damaging surprise is a query-plan regression: the upgrade succeeds, but a key query becomes slow because the optimizer changed. Teams skip the rehearsal and hit deprecated-feature failures in production. Incompatible drivers cause connection errors that look like database faults. Forgetting to refresh statistics leaves the planner working with stale data. Finally, an upgrade with no tested rollback turns a small regression into a prolonged outage.
Related Resources
Verify data with data-quality-management and reduce switchover risk using blue-green-deployment and immutable-infrastructure. Prepare on-call with incident-management-best-practices and size headroom with capacity-planning.