Book Image

Elasticsearch Indexing

By : Huseyin Akdogan
Book Image

Elasticsearch Indexing

By: Huseyin Akdogan

Overview of this book

Beginning with an overview of the way ElasticSearch stores data, you’ll begin to extend your knowledge to tackle indexing and mapping, and learn how to configure ElasticSearch to meet your users’ needs. You’ll then find out how to use analysis and analyzers for greater intelligence in how you organize and pull up search results – to guarantee that every search query is met with the relevant results! You’ll explore the anatomy of an ElasticSearch cluster, and learn how to set up configurations that give you optimum availability as well as scalability. Once you’ve learned how these elements work, you’ll find real-world solutions to help you improve indexing performance, as well as tips and guidance on safety so you can back up and restore data. Once you’ve learned each component outlined throughout, you will be confident that you can help to deliver an improved search experience – exactly what modern users demand and expect.
Table of Contents (15 chapters)
Elasticsearch Indexing
About the Author
About the Reviewer


In this chapter, we looked at the Suggest API and saw how we can use term, phrase, and completion suggesters with their configuration details. Then, we looked at the various functionalities to improve the relevancy of search results provided by Elasticsearch. We looked at how we can broaden the scope of matching documents with the synonym facility. Finally, we tried to correctly understand the notion of the _all field in depth.

Thank you for reading this book. We hope that you liked it and that we have reinforced your knowledge of effective indexing, which can adeptly help you to improve the relevancy of search results using Elasticsearch.