One of the most important tasks for the administrator is to make sure that no data will be lost in the case of a system failure. Elasticsearch, in its assumptions, is a resistant and well-configured cluster of nodes and can survive even a few simultaneous disasters. However, even the most properly configured cluster is vulnerable to network splits and network partitions, which in some very rare cases can result in data corruption or loss. In such cases, being able to get data restored from the backup is the only solution that can save us from recreating our indices. You probably already know what we want to talk about: the snapshot/restore functionality provided by Elasticsearch. Although we have covered the basics of the snapshot and restore functionality in previous editions of this book, we are going to cover it yet again in this chapter along with the cloud capabilities of the Elasticsearch backup functionality.

Mastering Elasticsearch 5.x - Third Edition
By :

Mastering Elasticsearch 5.x - Third Edition
By:
Overview of this book
Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source
search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data.
This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering.
We’ll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We’ll also show you how you can create your own analysis plugin in Elasticsearch.
By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.
Table of Contents (20 chapters)
Mastering Elasticsearch 5.x - Third Edition
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Revisiting Elasticsearch and the Changes
The Improved Query DSL
Beyond Full Text Search
Data Modeling and Analytics
Improving the User Search Experience
The Index Distribution Architecture
Low-Level Index Control
Elasticsearch Administration
Data Transformation and Federated Search
Improving Performance
Developing Elasticsearch Plugins
Introducing Elastic Stack 5.0
Customer Reviews