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  • Book Overview & Buying Elasticsearch 7.0 Cookbook
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Elasticsearch 7.0 Cookbook

Elasticsearch 7.0 Cookbook - Fourth Edition

By : Alberto Paro
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Elasticsearch 7.0 Cookbook

Elasticsearch 7.0 Cookbook

4 (2)
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 (19 chapters)
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Installing additional script plugins

Elasticsearch provides native scripting (that is, Java code compiled in JAR) and Painless, but a lot of other interesting languages are also available, such as Kotlin.

At the time of writing this book, there are no available language plugins as part of Elasticsearch's official ones. Usually, plugin authors will take up to a week or a month to update their plugins to the new version after a major release.

As previously stated, the official language is now Painless, and this is provided by default in Elasticsearch for better sandboxing and performance.

Getting ready

You will need an up-and-running Elasticsearch installation – similar to the one that we described in the Downloading...

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Elasticsearch 7.0 Cookbook
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