Large Data Table with Excessive Number of Indices

Excessive indexing on massive tables creates a significant maintenance overhead. Every insert, update, or delete operation must also update all related index structures, which slows down write operations and consumes extra storage and memory. While specific thresholds depend on your system, a common guideline is to consider tables with over 1,000,000 rows as 'large' and to be cautious when creating more than three indexes on such a table. If an attacker can trigger or exploit these slow operations, this performance degradation can become a security vulnerability. For example, it could lead to denial of service (DoS) by exhausting database resources or causing timeouts. Developers should regularly review index usage and design, ensuring indexes serve critical queries without unnecessarily burdening the database during data modification tasks.