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

Choosing the right amount of shards and replicas

In the beginning, when you started using Elasticsearch, you probably began by creating the index, importing your data to it and, after that, you started sending queries. We are pretty sure all worked well-at least in the beginning when the amount of data and the number of queries per second were not high. In the background, Elasticsearch created some shards and probably replicas as well (if you are using the default configuration, for example), and you didn't pay much attention to this part of the deployment.

When your application grows, you have to index more and more data and handle more and more queries per second. This is the point where everything changes. Problems start to appear (you can read about how we can handle the application's growth in Chapter 10, Improving Performance). It's now time to think about how you should plan your index and its configuration for your application. In this chapter, we will give you some guidelines on...