Elasticsearch in Action

Summary

Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You’ll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you’ll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you’ll go on to gain an organized view of how to optimize your design. Perfect for developers and administrators building and managing search-oriented applications.

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

About the Technology

Modern search seems like magic—you type a few words and the search engine appears to know what you want. With the Elasticsearch real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work.

About the Book

Elasticsearch in Action teaches you how to write applications that deliver professional quality search. As you read, you’ll learn to add basic search features to any application, enhance search results with predictive analysis and relevancy ranking, and use saved data from prior searches to give users a custom experience. This practical book focuses on Elasticsearch’s REST API via HTTP. Code snippets are written mostly in bash using cURL, so they’re easily translatable to other languages.

What’s Inside

• What is a great search application?
• Building scalable search solutions
• Using Elasticsearch with any language
• Configuration and tuning

About the Reader

For developers and administrators building and managing search-oriented applications.

About the Authors

Radu Gheorghe is a search consultant and software engineer. Matthew Lee Hinman develops highly available, cloud-based systems. Roy Russo is a specialist in predictive analytics.

Table of Contents

Part 1 CORE ELASTICSEARCH FUNCTIONALITY
Chapter 1 Introducing Elasticsearch
Chapter 2 Diving into the functionality
Chapter 3 Indexing, updating, and deleting data
Chapter 4 Searching your data
Chapter 5 Analyzing your data
Chapter 6 Searching with relevancy
Chapter 7 Exploring your data with aggregations
Chapter 8 Relations among documents

Part 2 ADVANCED ELASTICSEARCH FUNCTIONALITY
Chapter 9 Scaling out
Chapter 10 Improving performance
Chapter 11 Administering your cluster

Appendix A Working with geospatial data
Appendix B Plugins
Appendix C Highlighting
Appendix D Elasticsearch monitoring plugins
Appendix E Turning search upside down with the percolator
Appendix F Using suggesters for autocomplete and did-you-mean functionality

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