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 8. Improving the User Search Experience

In the previous chapter, we looked at how to back up and restore our data. We examined the snapshot repository and snapshot/restore process functionality. We talked about configuration details to snapshot and restore. Finally, we discussed how the snapshot process works and the form of snapshot files. In this chapter, we will examine the Elasticsearch Suggest API to correct user's spelling mistakes and we will look closely at the various functionalities provided by Elasticsearch to improve the relevancy of search results. By the end of this chapter, we will have covered:

  • How to correct user's spelling mistakes

  • How to use the term suggester

  • How to use the phrase suggester

  • How to provide the autocomplete functionality for the user

  • How to use boosting

  • How to use synonyms