Book Image

Elasticsearch 5.x Cookbook - Third Edition

By : Alberto Paro
Book Image

Elasticsearch 5.x Cookbook - Third 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. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We’ll guide you through comprehensive recipes on what’s new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and scripting. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch.
Table of Contents (25 chapters)
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Introduction


Before starting 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 discussing different operations on indices such as create, delete, update, open, and close. These operations are very important because they allow you to better 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 started in the previous chapter and to lay the basis for the next chapter which is mainly centered on search.

A large portion of this chapter is dedicated to Create-Read-Update-Delete (CRUD) operations on records that are the core of records storing and management in Elasticsearch.

To improve indexing performance, it's also important to understand bulk operations and avoid their common pitfalls.

This chapter doesn't...