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Developing Modern Database Applications with PostgreSQL

You're reading from  Developing Modern Database Applications with PostgreSQL

Product type Book
Published in Aug 2021
Publisher Packt
ISBN-13 9781838648145
Pages 440 pages
Edition 1st Edition
Languages
Authors (2):
Dr. Quan Ha Le Dr. Quan Ha Le
Profile icon Dr. Quan Ha Le
Marcelo Diaz Marcelo Diaz
Profile icon Marcelo Diaz
View More author details
Toc

Table of Contents (17) Chapters close

Preface 1. Section 1 - Introducing PostgreSQL Development and Administration
2. Introduction to PostgreSQL Development and Administration 3. Section 2 - Development in PostgreSQL
4. Setting Up a PostgreSQL RDS for ATMs 5. Using PostgreSQL and Node.js for Banking Transactions 6. Managing Bank ATM Locations Using PostgreSQL and Django 7. Creating a Geospatial Database Using PostGIS and PostgreSQL 8. Managing Banking Transactions using PostgREST 9. Section 3 - Administration in PostgreSQL
10. PostgreSQL with DevOps for Continuous Delivery 11. PostgreSQL High Availability Clusters 12. High-Performance Team Dashboards Using PostgreSQL and New Relic 13. Testing the Performance of Our Banking App with PGBench and JMeter 14. Test Frameworks for PostgreSQL 15. Other Books You May Enjoy APPENDIX - PostgreSQL among the Other Current Clouds
Testing the Performance of Our Banking App with PGBench and JMeter

In this chapter, we will learn how to create a load test for a PostgreSQL database to benchmark PostgreSQL performance with pgbench and JMeter. The purpose of benchmarking a database is not only to check the capability of the database but also to check the behavior of a particular database against your application. Different hardware provides different results based on the benchmarking plan that you set. It is very important to isolate the server (the actual one being benchmarked) from other elements such as the servers driving the load or the servers used to collect and store performance metrics. After benchmarking, you will also get application characteristics. 

With the help of a project in this chapter, we will create and run load tests to benchmark the performance of the PostgreSQL...

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