You're managing a database with limited storage. How do you prioritize indexing frequently queried columns?

To fine-tune my indexing approach and maintain database performance when storage is scarce, I follow these steps: Assess Query Frequency: I identify columns used in frequent or high-impact queries and prioritize indexing them to reduce lookup time. Evaluate Query Impact: I assess how indexing specific columns will affect query performance, focusing on columns involved in JOINs, WHERE clauses, or ORDER BY. Monitor Storage Constraints: I carefully balance the benefits of indexing with the storage costs, removing unnecessary or redundant indexes and keeping only those that offer significant performance gains without overburdening storage.

-Review the queries being run on the database to identify which columns are most frequently used in WHERE clauses, JOIN conditions, and ORDER BY statements. - Focus on columns with high cardinality (many unique values) as they provide more efficient indexing. - If multiple columns are often queried together, consider creating composite indexes (indexes on multiple columns). - Plan for regular index maintenance and rebuilding, especially if the database experiences frequent updates, to ensure optimal performance.