Build powerful, production-ready search applications using the incredible features of Elasticsearch.

In

Elasticsearch in Action, Second Edition

you will discover:

Architecture, concepts, and fundamentals of Elasticsearch

Installing, configuring, and running Elasticsearch and Kibana

Creating an index with custom settings

Data types, mapping fundamentals, and templates

Fundamentals of text analysis and working with text analyzers

Indexing, deleting, and updating documents

Indexing data in bulk, and reindexing and aliasing operations

Learning search concepts, relevancy scores, and similarity algorithms

Elasticsearch in Action, Second Edition

teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You’ll deep dive into design principles, search architectures, and Elasticsearch’s essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You’ll even explore real-world use cases for full text search, data visualizations, and machine learning. Plus, its comprehensive nature means you’ll keep coming back to the book as a handy reference!

Foreword by Shay Banon.

About the technology

Create fully professional-grade search engines with Elasticsearch and Kibana! Rewritten for the latest version of Elasticsearch, this practical book explores Elasticsearch’s high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs.

About the book

Elasticsearch in Action, Second Edition

teaches you how to add modern search features to websites and applications using Elasticsearch 8. In it, you’ll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. You’ll especially appreciate the mix of technical detail with techniques for designing great search experiences.

What's inside

Understanding search architecture

Full text and term-level search queries

Analytics and aggregations

High-level visualizations in Kibana

Configure, scale, and tune clusters

About the reader

For application developers comfortable with scripting and command-line applications.

About the author

Madhusudhan Konda

is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack.

Table of Contents

1 Overview

2 Getting started

3 Architecture

4 Mapping

5 Working with documents

6 Indexing operations

7 Text analysis

8 Introducing search

9 Term-level search

10 Full-text searches

11 Compound queries

12 Advanced search

13 Aggregations

14 Administration

15 Performance and troubleshooting

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