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Node.js Web Development

You're reading from   Node.js Web Development Server-side web development made easy with Node 14 using practical examples

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838987572
Length 760 pages
Edition 5th Edition
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Author (1):
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David Herron David Herron
Author Profile Icon David Herron
David Herron
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction to Node.js
2. About Node.js FREE CHAPTER 3. Setting Up Node.js 4. Exploring Node.js Modules 5. HTTP Servers and Clients 6. Section 2: Developing the Express Application
7. Your First Express Application 8. Implementing the Mobile-First Paradigm 9. Data Storage and Retrieval 10. Authenticating Users with a Microservice 11. Dynamic Client/Server Interaction with Socket.IO 12. Section 3: Deployment
13. Deploying Node.js Applications to Linux Servers 14. Deploying Node.js Microservices with Docker 15. Deploying a Docker Swarm to AWS EC2 with Terraform 16. Unit Testing and Functional Testing 17. Security in Node.js Applications 18. Other Books You May Enjoy

Storing notes the ORM way with Sequelize

There are several popular SQL database engines, such as PostgreSQL, MySQL, and MariaDB. Corresponding to each are Node.js client modules that are similar in nature to the sqlite3 module that we just used. The programmer is close to SQL, which can be good in the same way that driving a stick shift car is fun. But what if we want a higher-level view of the database so that we can think in terms of objects, rather than rows of a database table? ORM systems provide a suitable higher-level interface, and even offer the ability to use the same data model with several databases. Just as driving an electric car provides lots of benefits at the expense of losing out on the fun of stick-shift driving, ORM produces lots of benefits, while also distancing ourselves from the SQL.

The Sequelize package (http://www.sequelizejs.com/) is Promise-based, offers strong, well-developed ORM features, and can connect to SQLite3, MySQL, PostgreSQL, MariaDB, and MSSQL...

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