Database indexing is a critical technique for optimizing query performance and improving data retrieval efficiency. Here are common strategies:
1. Single-Column Indexes
A single-column index is created on one column of a table. It's ideal for columns frequently used in WHERE clauses or JOIN operations.
2. Composite Indexes
Composite indexes combine two or more columns into a single index. They are effective for filtering data based on multiple criteria.
3. Covering Indexes
A covering index includes all columns needed to answer a query, eliminating the need to access the table data.
4. Partitioned Indexes
Partitioned indexes divide data into smaller, manageable parts. This strategy is useful for large datasets to improve scalability.
5. Sparse Indexes
Sparse indexes are optimized for columns with many NULL values. They reduce storage overhead while maintaining query performance.
For deeper insights, check our guide on Database Optimization Techniques. Always analyze query patterns before implementing indexing strategies! 📊🔍