Book Image

Elasticsearch 7.0 Cookbook - Fourth Edition

By : Alberto Paro
Book Image

Elasticsearch 7.0 Cookbook - Fourth Edition

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 (23 chapters)
Title Page

Text and Numeric Queries

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

In the last part of this chapter, we will see many special query that covers 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 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
  • The common terms...