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


As we mentioned in Chapter 1, Introduction to Efficient Indexing, understanding the difference between storable and searchable fields is important for indexing performance and relevant search results. Elasticsearch always stores every document field within the _source field by default. You can change this behavior for some fields that are not really needed to be return. It provides indexing performance and reduces your storage costs.

Also, as we mentioned in Chapter 5, Anatomy of an Elasticsearch Cluster, shards and the number of replicas affect the indexing speed. For example, having more shards provides faster indexing. Therefore, every operation executed on a smaller index will be faster.