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

Summary


In this chapter, we discussed Elasticsearch administration. We started by learning how to perform backups of our indices and how to monitor our cluster health and state using its API. We controlled cluster shard rebalancing and learned how to adjust shard allocation according to our needs. We've used the CAT API to get information about Elasticsearch in human-readable form and we've warmed up our queries to make them faster. Finally, we've used aliases to allow a better management of our indices and to have more flexibility.

In the next and final chapter of the book, we will focus on a hypothetical online library store to see how to make Elasticsearch work in practice. We will start with a brief introduction and hardware considerations. We will tune a single instance of Elasticsearch and properly configure our cluster by discussing each of its parts and providing a proper architecture. We will vertically expand the cluster and prepare it for both high querying and high indexing load...