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Developing Modern Database Applications with PostgreSQL

You're reading from   Developing Modern Database Applications with PostgreSQL Use the highly available and object-relational PostgreSQL to build scalable and reliable apps

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781838648145
Length 440 pages
Edition 1st Edition
Languages
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Authors (2):
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Marcelo Diaz Marcelo Diaz
Author Profile Icon Marcelo Diaz
Marcelo Diaz
Quan Ha Le Quan Ha Le
Author Profile Icon Quan Ha Le
Quan Ha Le
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1 - Introducing PostgreSQL Development and Administration
2. Introduction to PostgreSQL Development and Administration FREE CHAPTER 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 load balancing and high availability

Everything done so far has been with the aim of achieving high availability in our database architecture. From now on, when we have an established connection to the database, it should not be lost in the event of a disaster, such as the crashing of our master server. Here, we will instigate a crash in our master server, leaning on Vagrant to suspend it, and we will see how Heimdall acts in this instance.

 In order to shake things up a bit, we will run the following query on psql:

atm=>
SELECT
format('select pg_sleep(2), "BankName", "Address" from "ATM locations" where "ID"=%s;', "ID") FROM "ATM locations";
format
--------------------------------------------------------------------------------
select pg_sleep(2), "BankName", "Address" from "ATM locations" where...
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