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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


Elasticsearch has a powerful way to extend its capabilities with custom scripts that can be written in several programming languages. The most common ones are Painless, Groovy, JavaScript, and Python.

In this chapter, we will see how it's possible to create custom scoring algorithms, special processed return fields, custom sorting, and complex update operations on records.

The scripting concept of Elasticsearch is an advanced stored procedures system in the NoSQL world; so, for an advanced use of Elasticsearch, it is very important to master it.

Elasticsearch natively provides scripting in Java (a Java code compiled in JAR), Painless, Groovy, Express, and Mustache; but a lot of interesting languages are available as plugins, such as JavaScript and Python.

In older Elasticsearch releases, prior to version 5.0, the official scripting language was Groovy, but for better sandboxing and performance, the official language is now Painless, which is provided by default in Elasticsearch...

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