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

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

A large portion of this chapter is dedicated to create-read-update-delete (CRUD) operations on records that are at the core of record storing and management in...