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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Managing indices


After having a client, the first action to do is to create a custom index with an optimized mapping for it. Elastic4s provides a powerful DSL to do this kind of operation.

Getting ready

You need an up-and-running Elasticsearch installation, as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

A Maven tool or an IDE that supports Scala programming, such as Eclipse (ScalaIDE) or IntelliJ IDEA, should be installed with the Scala plugin should be installed.

The code for this recipe can be found in the chapter_15/elastic4s_sample directory and the reference file is IndicesExample.

How to do it...

The Elasticsearch client maps all index operations under the admin.indices object of the client.

Here you will find all the index operations (create, delete, exists, open, close, optimize, and so on).

The following code retrieves a client and executes the main operations on indices:

  1. We import the required classes:

            import com.sksamuel...
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