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You're reading from  Elasticsearch 5.x Cookbook - Third Edition

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Published inFeb 2017
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ISBN-139781786465580
Edition3rd Edition
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Alberto Paro
Alberto Paro
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Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
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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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Elasticsearch 5.x Cookbook - Third Edition
Published in: Feb 2017Publisher: ISBN-13: 9781786465580

Author (1)

author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro