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

Exploring Search Capabilities

Now that we have set the mappings and put the data in the indices, we can start exploring the search capabilities in Elasticsearch. In this chapter, we will cover searching using different factors: sorting, highlighting, scrolling, suggesting, counting, and deleting. These actions are the core part of Elasticsearch; ultimately, everything in Elasticsearch is about serving the query and returning good-quality results.

This chapter is divided into two parts: the first part shows how to perform an API call-related search, and the second part will look at two special query operators that are the basis for building complex queries in the following chapters.

In this chapter, we will cover the following recipes:

  • Executing a search
  • Sorting results
  • Highlighting results
  • Executing a scrolling query
  • Using the search_after functionality
  • Returning inner hits in...