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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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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

Connecting Heroku PostgreSQL using pgAdmin

As we previously mentioned, now is the time to connect from our local location to our Heroku service through pgAdmin. Let's see how to do it:

  1. On our local pgAdmin in the browser, we will right-click on Servers and then click on Create | Server...:

Figure Appendix.55 – pgAdmin connection for Heroku
  1. On the Connection tab, we will name it Heroku Postgres:

Figure Appendix.56 – Heroku Postgres server setup on pgAdmin
  1. Following that, we will add our credentials previously obtained on Heroku on the Connection tab:

Figure Appendix.57 – Heroku Postgres server setup on pgAdmin (cont.)
  1. Once the credentials have been validated, we will expand the Heroku Postgres instance and over a public schema, we will right-click and select Query Tool from the contextual menu:

Figure Appendix.58 – Heroku Postgres server expansion
  1. On the new Query Editor tab, we can refer to Chapter 2, Setting Up a PostgreSQL RDS...
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