- 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. 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