Book Image

Supercharging Node.js Applications with Sequelize

By : Daniel Durante
4 (1)
Book Image

Supercharging Node.js Applications with Sequelize

4 (1)
By: Daniel Durante

Overview of this book

Continuous changes in business requirements can make it difficult for programmers to organize business logic into database models, which turns out to be an expensive operation as changes to the database may result in errors and incongruity within applications. Supercharging Node.js Applications with Sequelize helps you get to grips with Sequelize, a reliable ORM that enables you to alleviate these issues in your database and applications. With Sequelize, you'll no longer need to store information in flat files or memory. This book takes a hands-on approach to implementation and associated methodologies for your database that will have you up and running in no time. You'll learn how to configure Sequelize for your Node.js application properly, develop a better sense of understanding of how this ORM works, and find out how to manage your database from Node.js using Sequelize. Finally, you'll be able to use Sequelize as the database driver for building your application from scratch. By the end of this Node.js book, you'll be able to configure, build, store, retrieve, validate, and associate your data from a database to a Node.js application.
Table of Contents (16 chapters)
1
Part 1 – Installation, Configuration, and the Basics
4
Part 2 – Validating, Customizing, and Associating Your Data
10
Part 3 – Advanced Queries, Using Adapters, and Logging Queries

Querying JSON and JSONB data

As stated previously, JSON column types are only available for SQLite, MySQL, MariaDB, and PostgreSQL. The JSONB column is only supported on the PostgreSQL DBMS. The difference between the two column types is that JSONB will store additional information related to the fields within the JSON document internally. This will increase the requirements for disk space but will help make querying the data quicker.

For this section, presume that we have the following model within our application:

class Receipts extends Model {}
Receipts.init({
  receipt: DataTypes.JSON
});

Now, we can create our document:

await Receipts.create({
    receipt: {
        name: {
            first: "Bob",
            last: "Smith"
      ...