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 analysis process and we reviewed the building blocks of analyzer. After this, we comprehended what the character filters, tokenizers, and token filters are, and how to specify different analyzers in separate fields. Finally, we saw how to create a custom analyzer. In the next chapter, you'll discover the anatomy of an Elasticsearch cluster, what a shard is, what a replica shard is, what a function replica shard performs, and so on. In addition, we will examine the questions, how do we configure my cluster correctly? and how do we determine the correct number of shard and replicas? We will also look at some relevant cases related to this topic.