Book Image

Elasticsearch 7.0 Cookbook - Fourth Edition

By : Alberto Paro
Book Image

Elasticsearch 7.0 Cookbook - Fourth Edition

By: Alberto Paro

Overview of this book

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics. Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins. By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.
Table of Contents (23 chapters)
Title Page

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...