Database recovery
Database recovery is the process of restoring a database to a usable state after data loss or corruption. This can happen due to hardware failure, accidental deletion, software bugs, ransomware, power outages, or human error. Recovery typically aims to preserve as much data as possible and minimize downtime. Common re
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Database recovery (en-US)
Database recovery is the process of restoring a database to a usable state after data loss or corruption. This can happen due to hardware failure, accidental deletion, software bugs, ransomware, power outages, or human error. Recovery typically aims to preserve as much data as possible and minimize downtime. Common recovery approaches include: - Backups: Restoring from full, incremental, or differential backups. - Point-in-time recovery (PITR): Using transaction logs to roll the database forward to a specific moment. - Log-based recovery: Applying write-ahead logs (WAL) or similar mechanisms to recover committed transactions and discard incomplete ones. - Replication and failover: Using replicas to switch to a healthy copy, then resynchronizing. Key steps often include assessing the scope of damage, identifying the last known good state, verifying backup integrity, restoring to a test environment when possible, and validating data consistency before switching production back on. Organizations also document recovery procedures and test them regularly to ensure they work under real conditions.
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What to prepare before an incident
Effective recovery depends on having reliable backups, retention policies, and tested restore procedures. It also helps to maintain clear runbooks, know your database’s recovery model (e.g., full vs. simple logging), and ensure you have access to required credentials, storage, and log files. Monitoring and alerting can detect issues early, reducing the amount of data that must be recovered.
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