PostgreSQL Indexing Strategies for Query Optimization

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-17
DOI
https://doi.org/10.5281/zenodo.23433469
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PostgreSQL Indexing Strategies for Query Optimization

Sanjana Kapate
Zenodo (CERN European Organization for Nuclear Research)
Advanced Database Systems and Queries
article

PostgreSQL Indexing Strategies for Query Optimization

Sanjana Kapate
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Advanced Database Systems and Queries
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.