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Elasticsearch 7.0 Cookbook

Elasticsearch 7.0 Cookbook

By : Alberto Paro
4 (2)
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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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Executing a standard search

Obviously, the most common action in Elasticsearch is searching. Elastic4s leverages the query DSL, which brings a type-safe definition for the queries to Scala. One of the most common advantages of this functionality is that, as Elasticsearch evolves, in Scala code via elastic4s, you can have deprecation or your compilation may break, requiring you to update your code.

In this recipe, we will see how to execute a search, retrieve the results, and convert them into typed Domain objects (classes) without the need to write a serializer/deserializer for our data.

Getting ready

You need an up-and-running Elasticsearch installation, as we described in the Downloading and installing Elasticsearch...

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