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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

Finding ATM locations within 1 kilometer of Times Square

The steps for this are as follows:

  1. The second query is a common issue for every pedestrian. Suppose that you are visiting Times Square in New York City and you suddenly need to find the nearest ATM. We will use latitude 40.755101 and longitude -73.99337 for Times Square and use 1000 meters to form the following SQL statement:
SELECT atm."BankName", atm."Address"
FROM "ATM coordinates" atm
WHERE ST_DWithin(geog, ST_SetSRID(ST_MakePoint(-73.99337, 40.755101), 4326), 1000);

 The result of the preceding query is shown in the following screenshot:

Figure 5.22 – The ATMs nearest Times Square

We can also practice around with this query by changing Time Square to other locations into the preceding query such as New York City Hall, the Rockefeller Center, the Metropolitan Museum of Art, and the Brooklyn Bridge, and so on.

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