Book Image

Building Enterprise JavaScript Applications

By : Daniel Li
Book Image

Building Enterprise JavaScript Applications

By: Daniel Li

Overview of this book

With the over-abundance of tools in the JavaScript ecosystem, it's easy to feel lost. Build tools, package managers, loaders, bundlers, linters, compilers, transpilers, typecheckers - how do you make sense of it all? In this book, we will build a simple API and React application from scratch. We begin by setting up our development environment using Git, yarn, Babel, and ESLint. Then, we will use Express, Elasticsearch and JSON Web Tokens (JWTs) to build a stateless API service. For the front-end, we will use React, Redux, and Webpack. A central theme in the book is maintaining code quality. As such, we will enforce a Test-Driven Development (TDD) process using Selenium, Cucumber, Mocha, Sinon, and Istanbul. As we progress through the book, the focus will shift towards automation and infrastructure. You will learn to work with Continuous Integration (CI) servers like Jenkins, deploying services inside Docker containers, and run them on Kubernetes. By following this book, you would gain the skills needed to build robust, production-ready applications.
Table of Contents (26 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Free Chapter
1
The Importance of Good Code
Index

Chapter 6. Storing Data in Elasticsearch

In the previous chapter, we developed the bulk of our Create User feature by following a TDD process and writing all our E2E test cases first. The last piece of the puzzle is to actually persist the user data into a database.

In this chapter, we will install and run ElasticSearch on our local development machine, and use it as our database. Then, we will implement our last remaining step definition, using it to drive the development of our application code. Specifically, we will cover the following:

  • Installing Java and Elasticsearch
  • Understanding Elasticsearch concepts, such as indices, types, and documents
  • Using the Elasticsearch JavaScript client to complete our create user endpoint
  • Writing a Bash script to run our E2E tests with a single command