Create a backup and restore exercise for project data

A backup job can succeed while its output is incomplete, encrypted with a lost key or incompatible with current schema. Recovery evidence comes from restoration.

Restore an in-memory database

The integration lab dumps and restores real SQLite structures using synthetic rows.

from integration_cases import backup_restore_case

result = backup_restore_case()
assert result["restore_verified"] is True
assert result["row_count"] == 2
assert result["sum_total"] == 30
assert result["rows"] == [("O1", 10), ("O2", 20)]
assert result["production_data"] is False

Define recovery point and time objectives, included stores/files, encryption, retention, access and owner. Restore into an isolated empty destination. Verify schema version, counts, constraints, representative queries and application startup.

Record timestamps, artifact/checksum, commands, duration, failures and cleanup. Test periodically and after schema/storage changes. Protect backups as sensitive copies and test deletion policy.

The FDE for Freshers course includes restore evidence in operational handover.

Exercise

Back up a local database with related tables, delete it, restore cleanly and verify foreign keys plus three business invariants.

Continue learning

This article is part of the FDE integration and deployment foundations sequence. Use the neighbouring tasks when you need the prerequisite or the next application.

• Review the prerequisite or neighbouring task in Measure API latency before optimizing it.
• Continue with Handle expired credentials without exposing them in errors.

Reference: SQLite backup documentation.