Book Image

Elasticsearch Server - Third Edition

By : Rafal Kuc
Book Image

Elasticsearch Server - Third Edition

By: Rafal Kuc

Overview of this book

ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch’s schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You’ll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You’ll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project’s specifications.
Table of Contents (18 chapters)
Elasticsearch Server Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Horizontal expansion


Elasticsearch is a highly scalable search and analytics platform. We can scale it both horizontally and vertically. We discussed how to tune a single node in the Preparing a single Elasticsearch node section earlier in this chapter and we would like to focus on horizontal scaling now; how to handle multiple nodes in the same cluster, what roles should they have, and how to tune the configuration to have a highly reliable, available, and fault tolerant cluster.

You can imagine vertical scaling like building a sky scrapper – we have limited space available and we need to go as high as we can. Of course, that is expensive and requires a lot of engineering done right. On the other hand, we have horizontal scaling, which is like having many houses in a residential area. Instead of investing into hardware and having powerful machines, we choose to have multiple machines and our data split between them. Horizontal scaling gives us virtually unlimited scaling possibilities. Even...