- 496 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Elasticsearch in Action
About this book
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
- Introducing Elasticsearch
- Diving into the functionality
- Indexing, updating, and deleting data
- Searching your data
- Analyzing your data
- Searching with relevancy
- Exploring your data with aggregations
- Relations among documents
- PART 2 ADVANCED ELASTICSEARCH FUNCTIONALITY
- Scaling out
- Improving performance
- Administering your cluster
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Information
Table of contents
- Copyright
- Brief Table of Contents
- Table of Contents
- Preface
- Acknowledgments
- About This Book
- About the Cover Illustration
- Part 1.
- Part 2.
- 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
- Index
- List of Figures
- List of Tables
- List of Listings