AWS RDS
Amazon Aurora
MySQL Upgrade
Aurora MySQL 5.6 to 5.7
Database Migration

How to upgrade AWS RDS Aurora MySQL 5.6 to 5.7

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Introduction

Upgrading Aurora MySQL from 5.6 compatibility to 5.7 compatibility is a major version upgrade, not a patch. In Aurora terms, that usually means moving from Aurora MySQL 1.x to Aurora MySQL 2.x, so the safe process is to confirm the valid target version, snapshot the cluster, test the upgrade on a restored copy, and only then modify the production cluster.

Understand the actual Aurora version mapping

Aurora does not expose upgrades only as plain 5.6 and 5.7. The engine versions are Aurora-specific strings built around MySQL compatibility levels. That matters because the exact target version you can select depends on what Aurora versions are currently supported in your region.

Before planning anything, inspect the cluster and discover valid upgrade targets.

bash
1aws rds describe-db-clusters \
2  --db-cluster-identifier my-aurora-cluster \
3  --query 'DBClusters[0].[Engine,EngineVersion]' \
4  --output table
5
6aws rds describe-db-engine-versions \
7  --engine aurora-mysql \
8  --engine-version current-engine-version \
9  --query 'DBEngineVersions[0].ValidUpgradeTarget[*].[EngineVersion,IsMajorVersionUpgrade]' \
10  --output table

Use the actual current engine version from the first command in the second one. Do not guess the target string.

Prepare for a major version change

A 5.6 to 5.7 jump can surface SQL mode differences, optimizer changes, reserved word conflicts, and stricter behavior in queries that happened to work on 5.6. The most common application-side surprise is ONLY_FULL_GROUP_BY and similar default behavior differences.

At minimum, do these checks first:

  • take a manual cluster snapshot
  • review parameter groups and custom SQL mode settings
  • test your application against a 5.7-compatible cluster clone
  • review deprecated syntax and any ORM-generated SQL

Create the safety snapshot explicitly even if automated backups exist.

bash
aws rds create-db-cluster-snapshot \
  --db-cluster-identifier my-aurora-cluster \
  --db-cluster-snapshot-identifier my-aurora-pre57-upgrade

Test the upgrade on a restored cluster first

The best dry run is restoring the snapshot into a non-production cluster and upgrading that copy. This lets you measure upgrade time, run integration tests, and catch incompatible queries before touching production.

That test environment should use the same schema, parameters, and workload shape as production whenever possible. For a major database upgrade, a staging environment that is too small or too different is not very informative.

Perform the cluster upgrade

Once the target version is confirmed and the dry run is acceptable, modify the DB cluster to the chosen Aurora MySQL 5.7-compatible version.

bash
1aws rds modify-db-cluster \
2  --db-cluster-identifier my-aurora-cluster \
3  --engine-version target-engine-version \
4  --allow-major-version-upgrade \
5  --apply-immediately

Replace target-engine-version with one of the valid upgrade targets returned earlier.

If you want the change during the maintenance window instead of immediately, omit --apply-immediately. That reduces surprise, but it also means you must coordinate the exact maintenance schedule carefully.

Check instances, parameter groups, and application behavior after upgrade

The cluster engine version is the big step, but it is not the end of the work. After the upgrade:

  • verify the reader and writer instances are healthy
  • check cluster and instance parameter groups for 5.7 compatibility
  • run application smoke tests and representative queries
  • inspect slow query logs and error logs for changed execution behavior

A successful engine upgrade does not guarantee that every query plan stayed equally efficient.

Plan for rollback as restore, not downgrade

For major Aurora upgrades, rollback planning usually means restoring from the pre-upgrade snapshot or promoting a tested fallback environment. You should not assume that an in-place downgrade path will be available.

That is why the pre-upgrade snapshot and the dry run matter so much. They are your practical escape route.

Common Pitfalls

  • Treating Aurora versioning as plain MySQL version strings and guessing the target version.
  • Upgrading production first without restoring and testing a snapshot copy.
  • Forgetting to review SQL mode and query compatibility changes in 5.7.
  • Assuming a major upgrade can always be undone in place.
  • Focusing only on whether the cluster comes back up instead of validating application behavior and query performance.

Summary

  • Aurora 5.6 to 5.7 is a major version upgrade, typically Aurora MySQL 1.x to 2.x.
  • Discover valid upgrade targets with describe-db-engine-versions instead of guessing.
  • Take a manual snapshot and test the upgrade on a restored cluster first.
  • Upgrade the production cluster with modify-db-cluster and --allow-major-version-upgrade.
  • Treat rollback as snapshot restore planning, not as an assumed in-place downgrade.

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