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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

Django database settings with PostgreSQL

By default, Django uses the SQLite database. For production applications, you can use the PostgreSQL, MariaDB, Oracle, or MySQL databases. For this book, it will be PostgreSQL. Perform the following steps:

  1. The virtual environment is active; now, we will install the psycopg2 PostgreSQL adaptor with the help of the following command:
(venv) [root@ip-172-31-95-213 atmproject]# pip3 install psycopg2-binary

After the preceding command has been executed, the console should appear as follows:

Figure 4.6 – The psycopg2 PostgreSQL adapter
  1.  Now, open the settings file of the project to declare the database's RDS endpoint from AWS along with the username, password, and database name, as follows: 
(venv) [root@ip-172-31-95-213 atmproject]# vi atmproject/settings.py
------------------------------------------
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME...
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