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 3: Basic Operations

Before we start with indexing and searching in Elasticsearch, we need to cover how to manage indices and perform operations on documents. In this chapter, we'll start by discussing different operations that can be performed on indices, such as create, delete, update, open, and close. These operations are very important because they allow you to define the container (index) that will store your documents. The index create/delete actions are similar to the SQL create/delete database commands.

After that, we'll learn how to manage mappings to complete the discussion we started in the previous chapter and lay down the basis for the next chapter, which is mainly centered on searching.

A large portion of this chapter is dedicated to performing create, read, update, and delete (CRUD) operations on records, which are at the core of storing and managing records in Elasticsearch.

To improve indexing performance, it's also important to understand...