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

Integrating Sequelize with GraphQL

GraphQL offers a few advantages over alternatives such as REST. We can declare data shapes with strong types, associate relational hierarchies, and reduce the number of requests required when querying data.

GraphQL is a query language that is data storage-agnostic. You can associate a GraphQL model with a typical Database Management System (DBMS), or just as an abstraction for model validation and shaping.

Here is an example of a GraphQL schema definition:

type User {
  name: String!
  bio: String
  roles: [Role!]!
}
type Role {
  name: String!
}

The User type has three attributes, with the name and roles being required (indicated with the exclamation mark), while the bio definition is an optional string. Within this example, the User type’s roles attributes will always return an array with zero or more items from the exclamation mark that sits outside of the brackets ([…]!), and the...