Book Image

Mastering Elasticsearch 5.x - Third Edition

By : Bharvi Dixit
Book Image

Mastering Elasticsearch 5.x - Third Edition

By: Bharvi Dixit

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We’ll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We’ll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.
Table of Contents (20 chapters)
Mastering Elasticsearch 5.x - Third Edition
About the Author
About the Reviewer
Customer Feedback

Chapter 8. Elasticsearch Administration

In the last chapter, we went through various scoring algorithms provided by Apache Lucene, altering them and choosing the right one for the required use case along with Elasticsearch store module. We also discussed NRT searching and indexing and the role of transaction logs. After that we looked into how segment merging works and what are all the possible ways to control the merge process for an improved performance. Finally, we discussed Elasticsearch caching and circuit breakers.

In this chapter, we will focus around concepts of administering Elasticsearch, which include learning about discovery and recovery modules, configuring a full-blown Elasticsearch cluster with defined roles of nodes and the Cat API. We will also cover the major changes done in Elasticsearch monitoring parameters and in the end you will learn about how to perform backups and restore tasks of Elasticsearch indices. By the end of this chapter, we will have covered following topics...