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 10: Backups and Restoring Data

Elasticsearch is commonly used as a data store for logs and other kinds of data. Therefore, if you store valuable data, you will also need tools to back up and restore that data to support disaster recovery.

In earlier versions of Elasticsearch, the only viable solution was to dump your data with a complete scan and then reindex it. As Elasticsearch has matured as a complete product, it now supports native functionalities to back the data up and restore it.

In this chapter, we'll explore how you can configure shared storage, using a Network File System (NFS), to store your backups and how to execute and restore a backup. In the case of cloud and managed deployments, you can use other supported repositories such as Google Cloud Storage, Azure Blob Storage, and Amazon S3.

In the last recipe of the chapter, we will demonstrate how you can use the reindex functionality to clone data between different Elasticsearch clusters. This approach...