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)

Chapter 14: Scala Integration

Scala is becoming one of the most widely used languages in big data scenarios. This language provides a lot of facilities for managing data, such as immutability and functional programming.

In Scala, you can simply use the libraries that we saw in the previous chapter for Java. However, they are not scalastic, as they don't provide type safety (because many of these libraries take JSON as a string), and it is easy to use asynchronous programming.

In this chapter, we will look at how we can use elastic4s, a mature library, to use Elasticsearch in Scala. Its main features are as follows:

  • It has type-safe, concise DSL.
  • It integrates with standard Scala futures.
  • It uses the Scala collections library over the Java collections.
  • It returns an option where the Java methods would return null.
  • It uses Scala durations instead of strings/longs for time values.
  • It uses type class for marshaling and unmarshaling classes to/from...