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Elasticsearch Server - Third Edition

You're reading from   Elasticsearch Server - Third Edition Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888816
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster FREE CHAPTER 2. Indexing Your Data 3. Searching Your Data 4. Extending Your Querying Knowledge 5. Extending Your Index Structure 6. Make Your Search Better 7. Aggregations for Data Analysis 8. Beyond Full-text Searching 9. Elasticsearch Cluster in Detail 10. Administrating Your Cluster 11. Scaling by Example Index

Words with the same meaning


You may have heard about synonyms, words that have the same or similar meaning. Sometimes you would want to have some words matched when one of those words is entered into the search box. Let's recall our sample data from Chapter 3, Searching Your Data. There was a book called crime and punishment. What if we want that book to not only be matched when the words crime or punishment are used, but also when using the words such as criminality and abuse. At first glance, this may not sound like good behavior, but sometimes this is really needed, especially in use cases where there are multiple words meaning the same (like in medicine). To handle such use cases, we will use synonyms.

Synonym filter

Synonyms in Elasticsearch are handled on the analysis level – at both index and query time, by a dedicated synonyms filter. To use the synonym filter, we need to define our own analyzer. For example, let's define an analyzer that will be called synonym and will use the whitespace...

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