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PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 2. Server Configuration and Control 3. Device Optimization 4. Monitoring Server Performance 5. Connection Pooling and Database Partitioning 6. High Availability and Replication 7. Working with Third-Party Replication Management Utilities 8. Database Monitoring and Performance 9. Vacuum Internals 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

Introduction

Indexes play a crucial role in a database as they improve the query response time by adding an amount of overhead for each write operation of a table. Creating or dropping an index is an important responsibility for a DBA as they need to make a choice by looking at the read and write ratio of the database tables. A wise move would definitely be to increase the database performance, which needs some investigation into the table growth, along with its access metrics. In some cases, an index may improve the query performance instantly, which may not be useful in future. In this chapter, we are going to learn how to measure the table growth along with its access metrics using catalog tables, by using the BenchmarkSQL database as a sample dataset.

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