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Elasticsearch 7.0 Cookbook

You're reading from   Elasticsearch 7.0 Cookbook Over 100 recipes for fast, scalable, and reliable search for your enterprise

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Length 724 pages
Edition 4th 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 (19) Chapters Close

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

Plugin Development

Elasticsearch is designed to be extended with plugins to improve its capabilities. In the previous chapters, we installed and used many of them (new queries, REST endpoints, and scripting plugins).

Plugins are application extensions that can add many features to Elasticsearch. They can have several usages, such as the following:

  • Adding a new scripting language (that is, Python and JavaScript plugins)
  • Adding new aggregation types
  • Extending Lucene-supported analyzers and tokenizers
  • Using native scripting to speed up computation of scores, filters, and field manipulation
  • Extending node capabilities, for example, creating a node plugin that can execute your logic
  • Monitoring and administering clusters

In this chapter, the Java language will be used to develop a native plugin, but it is possible to use any JVM language that generates JAR files.

The standard tools...

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