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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

Introduction


Scala is becoming one of the most used languages in big data scenarios. This language provides a lot of facilities for managing data, such as immutability and functional programming.

In Scala, you can simply use the libraries seen in the previous chapter for Java, but they are not scalastic as they don't provide type safety (because many of these libraries take a JSON as a string) and it is easy to use asynchronous programming.

In this chapter, will see how to use elastic4s, a mature library, to use Elasticsearch in Scala. Its main features are:

  • Type safe concise DSL

  • Integrates with standard Scala futures

  • Uses the Scala collections library over Java collections

  • Returns option where the Java methods would return null

  • Uses Scala durations instead of strings/longs for time values

  • Uses typeclass for marshalling and unmarshalling classes to/from Elasticsearch documents, backed by Jackson, Circe, Json4s, and PlayJson implementations

  • Leverages the built-in Java client

  • Provides reactive-streams...

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