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 7. Snapshot and Restore

In the previous chapter, we looked at some memory configuration and tips of mapping definition for improving indexing performance. We talked about segments and merging policies. We tried to explain the store module and how to throttle disk I/O operations. Then, we discussed the bulk API. In this chapter, we will look at how can we back up our data and restore. For this purpose, we will examine Elasticsearch snapshot and restore module. By the end of this chapter, we would have covered the following topics:

  • How to create a snapshot repository

  • How to create a snapshot

  • How to restore a snapshot

  • How the snapshot process works