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Building Enterprise JavaScript Applications

You're reading from  Building Enterprise JavaScript Applications

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781788477321
Pages 764 pages
Edition 1st Edition
Languages
Author (1):
Daniel Li Daniel Li
Profile icon Daniel Li

Table of Contents (26) Chapters

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. The Importance of Good Code 2. The State of JavaScript 3. Managing Version History with Git 4. Setting Up Development Tools 5. Writing End-to-End Tests 6. Storing Data in Elasticsearch 7. Modularizing Our Code 8. Writing Unit/Integration Tests 9. Designing Our API 10. Deploying Our Application on a VPS 11. Continuous Integration 12. Security – Authentication and Authorization 13. Documenting Our API 14. Creating UI with React 15. E2E Testing in React 16. Managing States with Redux 17. Migrating to Docker 18. Robust Infrastructure with Kubernetes 1. Other Books You May Enjoy Index

Understanding key concepts in Elasticsearch


We will be sending queries to Elasticsearch very shortly, but it helps if we understand a few basic concepts.

 

 

Elasticsearch is a JSON document store

As you might have noticed from the response body of our API call, Elasticsearch stores data in JavaScript Object Notation (JSON) format. This allows developers to store objects with more complex (often nested) structures when compared to relational databases that impose a flat structure with rows and tables.

That's not to say document databases are better than relational databases, or vice versa; they are different and their suitability depends on their use.

Document vs. relationship data storage

For example, your application may be a school directory, storing information about schools, users (including teachers, staff, parents, and students), exams, classrooms, classes, and their relations with each other. Given that the data structure can be kept relatively flat (that is, mostly simple key-value entries...

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