Optimization of massive data retrieval performance based B-tree index
Authors
Lihua Geng
Corresponding Author
Lihua Geng
Available Online April 2015.
- DOI
- 10.2991/amcce-15.2015.350How to use a DOI?
- Keywords
- Oracle 11g; B-tree index scan; massive data retrieval; performance optimization; the average transaction response time;
- Abstract
With the rise of the Internet Web 2.0, the paper studies a use of B-tree index technology supported by Oracle 11gin mass data retrieval. B-tree index scanning mode use the index selectivity, histogram etc to select the best execution path to improve query performance. Put forward the solutions to avoid the useless index resulted by non-equality operation, Null operation and functional operation. After the comparison and analysis of before and after optimization of Oracle Database Performance ,the result shows that the average response time of the optimized Oracle database is better than before.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lihua Geng PY - 2015/04 DA - 2015/04 TI - Optimization of massive data retrieval performance based B-tree index BT - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.350 DO - 10.2991/amcce-15.2015.350 ID - Geng2015/04 ER -