PostgreSQL Indexing Strategies for Query Optimization
Year: 2026
Type: article
Abstract: This review paper explores PostgreSQL indexing strategies for improving database query performance and optimization. It discusses major index types, including B-tree, Hash, GIN, GiST, SP-GiST, and BRIN, along with composite, partial, expression, and covering indexes. The paper explains how query execution plans, EXPLAIN ANALYZE, database statistics, and workload measurements help guide index selection. It also examines the trade-offs between query speed, storage requirements, write performance, and index maintenance. Finally, the paper provides practical recommendations for designing, evaluating, and monitoring indexes to achieve efficient and reliable PostgreSQL database performance.
Author: Kapate, Sanjana
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7222812264
FWCI:
Cites:
Cited by:
Related to: