Have a personal or library account? Click to login
Performance Analysis and Optimization Techniques for Oracle Relational Databases Cover

Performance Analysis and Optimization Techniques for Oracle Relational Databases

Open Access
|Jun 2019

Abstract

Databases provide an efficient way to store, retrieve and analyze data. Oracle relational database is one of the most popular database management systems that is widely used in a different variety of industries and businesses. Therefore, it is important to guarantee that the database access and data manipulation is optimized for reducing database system response time. This paper intends to analyze the performance and the main optimization techniques (Forall, Returning, and Bulk Collect) that can be adopted for Oracle Relational Databases. The results have shown that the adoption of Forall and Bulk Collect approaches bring significant benefits in terms of execution time. Furthermore, the growth rate of the average execution time is lower for Bulk Collect than Forall. However, adoption of Returning approach doesn’t bring significant statistical benefits.

DOI: https://doi.org/10.2478/cait-2019-0019 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 117 - 132
Submitted on: Apr 4, 2019
Accepted on: May 14, 2019
Published on: Jun 18, 2019
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Fernando Almeida, Pedro Silva, Fernando Araújo, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.