How indexing affects system performance
5.1 Positive Impact on System Performance
- Efficient Data Retrieval:
- Accelerates data retrieval for SELECT operations.
- Reduces the need for complete-table scans, improving query response time.
- Sorting and Filtering: Enhances sorting and filtering efficiency, specifically in complicated queries.
- Overall System Responsiveness: Contributes to an basic improvement in system responsiveness.
5.2 Negative Impact on System Performance:
- Increased Storage Requirements: Every index adds to storage requirements, probably leading to extended disk area usage.
- Write Operation Overhead: Slows down INSERT, UPDATE, and DELETE operations due to the need for index maintenance.
- Over-indexing Concerns: Over-indexing (developing too many indexes) can result in useless overhead and increased complexity.
Indexing in System Design
System design is a complicated system that involves developing efficient and scalable solutions to satisfy the demands of modern applications. One crucial thing of system design is indexing, a way used to optimize information retrieval operations. In this article, we will delve into the idea of indexing, its significance, numerous types, and best practices for implementing indexing in system layout.
Important Topics For The Indexing in System Design
- 1. What is Indexing?
- 2. Types of Indexing
- 3. Data Structures for Indexing
- 4. Indexing Key Selection
- 5. How indexing affects system performance
- 6. Trade-off Between Storage Space and Query Speed
- 7. Use of Indexing in Query Optimizers
- 8. Index Maintenance
- 9. Clustering and Non-Clustering Indexes
- 10. Multi-Column and Composite Indexes
- 11. Full-Text Indexing
- 12. Challenges and Limitations of Indexing
- 13. Conclusion