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Elasticsearch 8.x Cookbook

You're reading from   Elasticsearch 8.x Cookbook Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Length 750 pages
Edition 5th 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 (20) Chapters Close

Preface 1. Chapter 1: Getting Started 2. Chapter 2: Managing Mappings FREE CHAPTER 3. Chapter 3: Basic Operations 4. Chapter 4: Exploring Search Capabilities 5. Chapter 5: Text and Numeric Queries 6. Chapter 6: Relationships and Geo Queries 7. Chapter 7: Aggregations 8. Chapter 8: Scripting in Elasticsearch 9. Chapter 9: Managing Clusters 10. Chapter 10: Backups and Restoring Data 11. Chapter 11: User Interfaces 12. Chapter 12: Using the Ingest Module 13. Chapter 13: Java Integration 14. Chapter 14: Scala Integration 15. Chapter 15: Python Integration 16. Chapter 16: Plugin Development 17. Chapter 17: Big Data Integration 18. Chapter 18: X-Pack 19. Other Books You May Enjoy

Chapter 8: Scripting in Elasticsearch

Elasticsearch has a powerful way of extending its capabilities by using custom scripts, which can be written in several programming languages. The most common ones are Painless, Express, and Mustache. In this chapter, we will explore how it’s possible to create custom scoring algorithms, specially processed return fields, custom sorting, complex update operations on records, and ingest processors. The scripting concept of Elasticsearch is an advanced stored-procedure system in the NoSQL world; due to this, every advanced user of Elasticsearch should learn how to master it.

Elasticsearch natively provides scripting in Java (that is, Java code compiled in JAR files), Painless, Express, and Mustache; however, a lot of other interesting languages are also available as plugins, such as Kotlin and Velocity. In older Elasticsearch releases, prior to version 5.0, the official scripting language was Groovy. But, for better sandboxing and performance...

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