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 the chapter we just finished, we learned a few very important things about Elasticsearch. First of all, we learned how we can configure the node discovery mechanism. In addition to that, we learned to control what happens after the cluster is initially formed using the recovery and gateway modules. We used dynamic and non-dynamic templates to handle our indices more easily, and we learned what type of caches Elasticsearch has and how to control them. Finally, we used the update settings API to update the various Elasticsearch configuration variables on an already live cluster.

In the next chapter, we will focus on cluster administration. We will start with learning how to backup our data and how to monitor the key cluster metrics. We'll see the way to control cluster rebalancing and shard allocation, and we will use a human friendly Cat API that allows us to get varied information about the cluster. Finally, we will learn about warming up our indices and aliasing.