The term "database repair" refers to the process of identifying, analyzing, and correcting errors, inconsistencies, or corruption within a database. The goal of database repair is to ensure the integrity, availability, and operational functionality of the database—especially after system crashes, hardware failures, improper access, or faulty transactions. The repair process can be carried out manually by administrators or automatically through specialized software tools.
Integrity Check: Analyzing the logical and physical consistency of database structures and contents.
Error Log Analysis: Automated evaluation of log files to identify malfunctions or inconsistencies.
Repair of Corrupted Tables or Indexes: Restoration or reconstruction of damaged database elements.
Transaction Rollback: Reverting incomplete or faulty transactions to restore a consistent state.
Data Recovery from Backups: Reimporting backup copies to restore lost or damaged data.
Reorganization of Database Files: Restructuring internal data storage to address fragmentation or memory issues.
Index Rebuilding: Deleting and recreating indexes to optimize data access and fix structural issues.
Automated Check and Repair Routines: Scheduled or event-triggered diagnostics and repair operations.
An e-commerce company restores corrupted product tables after a server crash.
An IT administrator uses an analysis tool to repair a corrupt SQL database following a power outage.
An ERP system flags inconsistent transactions that are rolled back to prevent data loss.
A maintenance tool detects faulty indexes and automatically rebuilds them.
After a failed update, the last consistent data is restored from a backup.
