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

Chapter 10. Administrating Your Cluster

In the previous chapter, we focused on Elasticsearch nodes and cluster configuration. We started by discussing the node discovery process, what it is and how to configure it. We've discussed gateway and recovery modules and tuned them to match our needs. We've used templates and dynamic templates to manage data structure easily and learned how to install plugins to extend the functionalities of Elasticsearch. Finally, we've learned about the caches of Elasticsearch and how to update indices and cluster settings using a dedicated API. By the end of this chapter, you will have learned the following topics:

  • Backing up your indices in Elasticsearch

  • Monitoring your clusters

  • Controlling shards and rebalancing replicas

  • Controlling shards and allocating replicas

  • Using CAT API to learn about cluster state

  • Warming up

  • Aliasing