International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
Conferences Published ↓
IC-AIRCM-T3-2026
SPHERE-2025
AIMAR-2025
SVGASCA-2025
ICCE-2025
Chinai-2023
PIPRDA-2023
ICMRS'23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 2
March-April 2026
Indexing Partners
A Summary of SQL Optimization Methods for Optimizing Query Performance
| Author(s) | Mr. Ramneet Singh Chadha, Mr. Prabhjeet Singh Raina |
|---|---|
| Country | India |
| Abstract | Efficient data retrieval is crucial for database-driven applications due to the rapid expansion of data in modern information systems. The typical way to manage and change relational databases is with SQL. But if SQL queries aren't written correctly, they might take longer to run, require a lot of CPU power, and waste valuable resources. Optimizing SQL queries makes databases work more efficiently by changing slow queries into faster execution plans. A study on SQL query optimization techniques aims to improve query execution performance in relational database systems. The study examines query optimization techniques, including indexing strategies, query rewriting, join optimization, execution plan analysis, and cost-based optimization. Also, real examples show how optimized searches considerably reduce execution time compared to non-optimized queries. Effective optimization strategies can significantly enhance database efficiency and reduce query latency, based on experiments. |
| Keywords | SQL, Query Optimization, Database Systems, Indexing, Execution Plan, and Database Performance. |
| Field | Computer > Data / Information |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-10 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i02.74103 |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
Powered by Sky Research Publication and Journals