|Elasticsearch in Action
Radu Gheorghe and Matthew Lee Hinman
MEAP Began: July 2013
Softbound print: June 2015 (est.) | 400 pages | B&W
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Table of Contents, MEAP Chapters & Resources
|Table of Contents||Resources|
PART 1: CORE ELASTICSEARCH FUNCTIONALITY
1 Introducing Elasticsearch - FREE
2 Diving into the functionality - AVAILABLE
3 Indexing, updating and deleting data - AVAILABLE
4 Searching your data - AVAILABLE
5 Analyzing your data - AVAILABLE
6 Searching with relevancy - AVAILABLE
7 Exploring your data with aggregations - AVAILABLE
8 Relations among documents - AVAILABLE
PART 2: ADVANCED FUNCTIONALITY
9 Scaling out - AVAILABLE
10 Improving performance - AVAILABLE
11 Administering your cluster - AVAILABLE
Appendix A Working with geo-spatial data - AVAILABLE
Appendix B Plugins
Appendix C Highlighting - AVAILABLE
Appendix D Elasticsearch monitoring plugins - AVAILABLE
Appendix E Percolators
Appendix F Using Suggesters for Auto complete and Did-You-Mean - AVAILABLE
Elasticsearch makes it easy to add efficient and scalable searches to your enterprise applications. Busy administrators and developers love this open source real-time search and analytics engine because they can simply install it, make a few tweaks, and go on with their work. And once Elasticsearch is up and running, you'll discover that it's miles deep, so you can build nearly any custom search solution you can imagine.
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 gain an organized view of how to optimize your design. The book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using curl, which makes them easily translatable to other languages.
- Building scalable search solutions
- Comprehensive coverage of all key features
- Using Elasticsearch with any language
- Efficient administration of search applications
- Using the HTTP API for configuration and tuning
This book is perfect for developers building search-oriented applications. It's also a fantastic guide for sysadmins or DBAs managing enterprise search.
ABOUT THE AUTHORS
Radu Gheorghe is a search consultant and software engineer focused full time on Elasticsearch-based solutions. Matthew Lee Hinman develops highly available, cloud-based systems, where he uses Elasticsearch to index and search over a petabyte of data.
ABOUT THE EARLY ACCESS VERSION
This Early Access version of Elasticsearch in Action enables you to receive new chapters as they are being written. You can also interact with the authors to ask questions, provide feedback and errata, and help shape the final manuscript on the Author Online forum.
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