QUERY OPTIMIZATION AND QUERY PLANNER MECHANISMS IN POSTGRESQL: PERFORMANCE ANALYSIS AND PRACTICAL IMPLEMENTATION

Authors

  • Hamroyev Bobirjon Bakhritdinovich Asia International University Teacher of the Department of “General Technical Sciences”

DOI:

https://doi.org/10.55640/

Keywords:

PostgreSQL, query optimization, query planner, execution plan, SQL performance, database statistics, cost estimation, DBMS optimization.

Abstract

PostgreSQL is a highly advanced open-source relational database management system widely used in modern enterprise applications. As database sizes increase, query execution efficiency becomes a critical factor affecting system performance. Query optimization is a key mechanism that allows PostgreSQL to determine the most efficient method of executing SQL queries. This study analyzes PostgreSQL query optimization techniques, focusing on the internal query planner, execution strategies, cost estimation models, and performance analysis. Experimental comparisons between optimized and non-optimized queries are presented to demonstrate performance improvements. The article also discusses practical optimization methods and best practices for large-scale database systems.

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References

1. Hamroyev, B. B. (2025). PYTHONDA MASSIVLAR BILAN ISHLASH. PEDAGOGIK TADQIQOTLAR JURNALI, 2(2), 88-91.

2.Baxridtdinovich, H. B. (2025). THE IMPORTANCE AND APPLICATION OF POLYMORPHISM IN PYTHON. PEDAGOGIK TADQIQOTLAR JURNALI, 3(2), 120-123.

3.Хамроев, Б. Б. (2024). PYTHON: ОСНОВЫ НАУКИ И ИННОВАЦИЙ. MASTERS, 2(12), 49-56.

4. Baxridtdinovich, H. B. (2024). PYTHONDA MA'LUMOTLAR TAHLILI. PSIXOLOGIYA VA SOTSIOLOGIYA ILMIY JURNALI, 2(10), 69-75.

5.Baxridtdinovich, H. B. (2025). TA'LIMDA CHATBOTLAR VA VIRTUAL YORDAMCHILARDAN FOYDALANISH. PEDAGOGIK TADQIQOTLAR JURNALI, 3(1), 156-159.

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Published

2026-03-16

Issue

Vol. 5 No. 03 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

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

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

QUERY OPTIMIZATION AND QUERY PLANNER MECHANISMS IN POSTGRESQL: PERFORMANCE ANALYSIS AND PRACTICAL IMPLEMENTATION. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(03), 1088-1093. https://doi.org/10.55640/

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