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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd 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 (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Introduction


Elasticsearch is very commonly used as a datastore for logs and other kind of data, so if you store valuable data you also need tools to back up and restore this data to support disaster recovery.

In the first 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 to restore it.

In this chapter, we'll see how to configure a shared storage via NFS for storing your backups, and how to execute and restore a backup.

In the last recipe of the chapter we will see 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/restore functionalities due to moving from an old Elasticsearch version to the new one.

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