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 11. Scaling by Example

In the previous chapter, we discussed Elasticsearch administration. We started with discussion about backups and how we can do them by using available API. We monitored the health and state of our clusters and nodes and we learned how to control shard rebalancing. We controlled the shard and replicas allocation and used human friendly Cat API to get information about the cluster and nodes. We saw how to use warmers to speed up potentially heavy queries and we used index aliasing to manage our indices more easily. By the end of this chapter, you will have learned the following topics:

  • Hardware preparations for running Elasticsearch

  • Tuning a single Elasticsearch node

  • Preparing highly available and fault tolerant clusters

  • Expanding Elasticsearch vertically

  • Preparing Elasticsearch for high query and indexing throughput

  • Monitoring Elasticsearch