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Elasticsearch 7.0 Cookbook

You're reading from   Elasticsearch 7.0 Cookbook Over 100 recipes for fast, scalable, and reliable search for your enterprise

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Length 724 pages
Edition 4th Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (19) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Managing Mapping 3. Basic Operations 4. Exploring Search Capabilities 5. Text and Numeric Queries 6. Relationship and Geo Queries 7. Aggregations 8. Scripting in Elasticsearch 9. Managing Clusters 10. Backups and Restoring Data 11. User Interfaces 12. Using the Ingest Module 13. Java Integration 14. Scala Integration 15. Python Integration 16. Plugin Development 17. Big Data Integration 18. Another Book You May Enjoy

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, then you will also need tools to back up and restore this data to support disaster recovery.

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

In this chapter, we'll explore how you can configure a shared storage using Network File System (NFS) for storing your backups, and how to execute and restore a backup.

In the last recipe of the chapter, we will demonstrate how to use the reindex functionality to clone data between different Elasticsearch clusters. This approach is very useful if you are not able to use standard backup...

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