πŸ“ž +91-7667918914 | βœ‰οΈ ijarcce@gmail.com
International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 3, ISSUE 6, JUNE 2014

Heuristic Based Query Optimization

VISHAL HATMODE, PROF. SONALI RANGDALE Department of Information Technology, Siddhant College of Engineering, Pune, India

πŸ‘ 44 viewsπŸ“₯ 0 downloads
Share: 𝕏 f in ✈ βœ‰
Abstract: In this paper, we will enlist the process of SQL query optimization based on Heuristic approach. It is often found in the database industry that a lot of time is consumed in executing inefficient SQL queries. The problem here is that although the DBA knows that the queries red are inefficient, the large sections of people who are actually ring these queries are unable to write efficient queries. As a result, the performance of the entire system degrades because of the drastic fall in the system throughput i.e. the number of transactions performed per unit time is reduced. Typically, to overcome this problematic situation, most of the people frequently consult the DBA for writing efficient queries. This approach results in a lot of time loss. A better solution is using a Query Optimizer. A Query Optimizer will accept the inputted user query and automatically generate a equivalent but highly optimized query. This will save a lot of time and e ort. This in turn improves the system throughput and its overall performance. The Query Optimizer in this project is a Heuristic Optimizer. It basically tries to minimize the number of accesses by reducing the number of tuples and number of columns to be searched.

Keywords: Query Optimization, Heuristic Approach, tuples

How to Cite:

[1] VISHAL HATMODE, PROF. SONALI RANGDALE Department of Information Technology, Siddhant College of Engineering, Pune, India, β€œHeuristic Based Query Optimization,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.