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Elasticsearch 8.x Cookbook

Elasticsearch 8.x Cookbook

By : Alberto Paro
4 (6)
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Elasticsearch 8.x Cookbook

Elasticsearch 8.x Cookbook

4 (6)
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)
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Chapter 5: Text and Numeric Queries

In this chapter, we will examine the queries that are used for searching text and numeric values. They are simple and the most common ones used in Elasticsearch. The first part of this chapter covers the text queries from the simple term and terms query to the complex query string query. We'll gain an understanding of how the queries are strongly related to mapping when it comes to choosing the correct query based on mapping.

In the last part of this chapter, we will look at many special queries that cover fields, helpers for building complex queries from strings, and query templates.

In this chapter, we will cover the following recipes:

  • Using a term query
  • Using a terms query
  • Using a terms set query
  • Using a prefix query
  • Using a wildcard query
  • Using a regexp query
  • Using span queries
  • Using a match query
  • Using a query string query
  • Using a simple query string query
  • Using the range query
  • Using...
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