Database recovery is the process of restoring a database to a consistent state after a failure, such as a hardware malfunction, software error, or human mistake. This process is critical for maintaining data integrity and ensuring business continuity. A database recovery model dictates how the database system handles transaction logs and backups to facilitate recovery. Different recovery models offer varying levels of recovery speed and data loss protection. The most common recovery models are full, bulk-logged, and simple. Full recovery models provide the highest level of recovery, allowing for the restoration of the database to any point in time. Bulk-logged recovery models offer a balance between speed and recovery capabilities. Simple recovery models provide the fastest recovery but offer the least protection against data loss. Recovery procedures typically involve restoring a backup and applying transaction logs to bring the database to the desired point in time. This process is often automated and managed by the database management system (DBMS). A critical aspect of recovery is the frequency and type of backups taken. Regular backups are essential for minimizing data loss in case of failure. The recovery process can be complex, and understanding the recovery model and backup strategy is crucial for minimizing downtime and data loss.
.avif){kind=logo}
