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

Chapter 2. What is an Elasticsearch Index

In the previous chapter, we looked at what the difference is when a field becomes indexed and searchable and at how the analysis process affects the relevant search results. In this chapter, we will dive deep into the concept of the Elasticsearch index. Therefore, we will first go through basic concepts. Then we will examine the inverted index data structure. By the end of this chapter, we will have covered the following topics:

  • What is dynamic mapping?

  • What is denormalization?

  • Is index flexible?

  • What is the inverted index?