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

Configuring an example multi-node cluster

Till now, we have been playing around with a single node cluster but since we are going into more detail about index architecture, it's important to know how things work in a multi-node cluster. Although we will look into detailed cluster configurations in Chapter 8, Elasticsearch Administration, we will start with creating a two-node cluster in this chapter to demonstrate the concepts clearly.

Let's start with installing Elasticsearch on two separate machines. Please make sure that both the machines exist on the same network and port 9200 and 9300 are open between them. Also, you need to have Java 1.8 or above installed on your machines and each machine should have at least 3 GB of RAM available since the default heap size (both min and max) used by Elasticsearch is 2 GB.


If you have less amount of RAM available in your machines, you can alter and minimize the default Min and Max heap size after installing the Elasticsearch by editing these two...