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Elasticsearch Server: Second Edition

You're reading from   Elasticsearch Server: Second Edition From creating your own index structure through to cluster monitoring and troubleshooting, this is the complete guide to implementing the ElasticSearch search engine on your own websites. Packed with real-life examples.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783980529
Length 428 pages
Edition Edition
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Toc

Table of Contents (18) Chapters Close

Elasticsearch Server Second Edition
Credits
About the Author
Acknowledgments
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with the Elasticsearch Cluster 2. Indexing Your Data FREE CHAPTER 3. Searching Your Data 4. Extending Your Index Structure 5. Make Your Search Better 6. Beyond Full-text Searching 7. Elasticsearch Cluster in Detail 8. Administrating Your Cluster Index

Words with the same meaning


You may have heard about synonyms—words that have the same or similar meaning. Sometimes, you will want to have some words match when one of those words is entered into the search box. Let's recall our sample data from The example data section of Chapter 3, Searching Your Data; there was a book called Crime and Punishment. What if we want that book to be matched not only when the words crime or punishment are used, but also when using words like criminality and abuse. To perform this, we will use synonyms.

The synonym filter

In order to use the synonym filter, we need to define our own analyzer. Our analyzer will be called synonym and will use the whitespace tokenizer and a single filter called synonym. Our filter's type property needs to be set to synonym, which tells Elasticsearch that this filter is a synonym filter. In addition to that, we want to ignore case so that upper- and lowercase synonyms will be treated equally (set the ignore_case property to true...

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