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ElasticSearch Server

You're reading from   ElasticSearch Server Whether you're experienced in search servers or a newcomer, this book empowers you to get to grips with the speed and flexibility of ElasticSearch. A reader-friendly approach, including lots of hands-on examples, makes learning a pleasure.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849518444
Length 318 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

ElasticSearch Server
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with ElasticSearch Cluster FREE CHAPTER 2. Searching Your Data 3. Extending Your Structure and Search 4. Make Your Search Better 5. Combining Indexing, Analysis, and Search 6. Beyond Searching 7. Administrating Your Cluster 8. Dealing with Problems Index

Searching content in different languages


Till now, we've talked mostly in theory about language analysis, for example, handling multiple languages our data can consist, and things like that. This will now change as we will now discuss how we can handle multiple languages in our data.

Why we need to handle languages differently

As you already know that ElasticSearch allows us to choose different analyzers for our data, we can have our data divided into words on the basis of whitespaces, have them lowercased, and so on. This can usually be done with the data regardless of the language—you should have the same tokenization on the basis of whitespaces for English, German, and Polish (that doesn't apply to Chinese though). However, what if you want to find documents that contain words like cat and cats by only sending the cat word to ElasticSearch? This is where language analysis comes into play with stemming algorithms for different languages, which allow reducing the analyzed words into their...

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