Book Image

Elasticsearch 8.x Cookbook - Fifth Edition

By : Alberto Paro
Book Image

Elasticsearch 8.x Cookbook - Fifth Edition

By: Alberto Paro

Overview of this book

Elasticsearch is a Lucene-based distributed search engine at the heart of the Elastic Stack that allows you to index and search unstructured content with petabytes of data. With this updated fifth edition, you'll cover comprehensive recipes relating to what's new in Elasticsearch 8.x and see how to create and run complex queries and analytics. The recipes will guide you through performing index mapping, aggregation, working with queries, and scripting using Elasticsearch. You'll focus on numerous solutions and quick techniques for performing both common and uncommon tasks such as deploying Elasticsearch nodes, using the ingest module, working with X-Pack, and creating different visualizations. As you advance, you'll learn how to manage various clusters, restore data, and install Kibana to monitor a cluster and extend it using a variety of plugins. Furthermore, you'll understand how to 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 Elasticsearch cookbook, you'll have gained in-depth knowledge of implementing the Elasticsearch architecture and be able to manage, search, and store data efficiently and effectively using Elasticsearch.
Table of Contents (20 chapters)

Managing indices

Now that we have a client, the first thing we need to do is to create a custom index with an optimized mapping for it. Elastic4s provides a powerful DSL to perform this kind of operation.

In this recipe, we will create a custom mapping using the Domain Syntax Language (DSL), which was developed by the author of Elastic4s. This syntax is designed on top of the Elasticsearch JSON one, so it is very natural and easy to use.

Getting ready

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

Additionally, an IDE that supports Scala programming, such as IntelliJ IDEA, with the Scala plugin should be installed globally.

The code for this recipe can be found in the ch14/elastic4s_sample directory; the referred class is IndicesExample.

How to do it...

The Elasticsearch client maps all index operations under the admin.indices object of the client.