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Elasticsearch 7.0 Cookbook. - Fourth Edition

You're reading from  Elasticsearch 7.0 Cookbook. - Fourth Edition

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Pages 724 pages
Edition 4th Edition
Languages
Concepts
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro
LinkedIn
Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
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Table of Contents (23) Chapters

Title Page
Copyright and Credits About Packt Contributors Preface 1. Getting Started 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 1. Another Book You May Enjoy

Creating a plugin

Native plugins allow several aspects of the Elasticsearch server to be extended, but they require good knowledge of Java.

In this recipe, we will see how to set up a working environment to develop native plugins.

Getting ready

You need an up and running Elasticsearch installation, as we described in Downloading and installing Elasticsearch recipe in Chapter 1, Getting Started.

Gradle or an integrated development environment (IDE) that supports Java programming with Gradle, such as Eclipse or IntelliJ IDEA, is required.

The code for this recipe is available in the ch16/simple_plugin directory.

How to do it....

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Authors (1)

Profile icon Alberto Paro
LinkedIn
Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
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