Enhancing Query Performance Through Relational Database Indexing

Indexing in relational databases is a crucial technique for optimizing query performance. This paper explores various indexing methods, their implementation, and their impact on database efficiency. By examining different types of indexes, such as B-trees and hash indexes, and their applications in common relational database systems, this research provides insights into best practices for database design and maintenance. The study concludes with recommendations for database administrators and developers to maximize the benefits of indexing.

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Publication Details

Journal
International Journal of Computer Trends and Technology
Published
2024-08-31
DOI
https://doi.org/10.14445/22312803/ijctt-v72i8p119
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

Enhancing Query Performance Through Relational Database Indexing

Ankit Anchlia
International Journal of Computer Trends and Technology
Data Mining Algorithms and Applications
article

Enhancing Query Performance Through Relational Database Indexing

Ankit Anchlia
article en

Abstract

Indexing in relational databases is a crucial technique for optimizing query performance. This paper explores various indexing methods, their implementation, and their impact on database efficiency. By examining different types of indexes, such as B-trees and hash indexes, and their applications in common relational database systems, this research provides insights into best practices for database design and maintenance. The study concludes with recommendations for database administrators and developers to maximize the benefits of indexing.

International Journal of Computer Trends and TechnologyVol. 72(8)
Software (Spain) (ES)
Openalex Percentile: Top 75%
Data Mining Algorithms and Applications
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