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You're reading from  Elasticsearch 8.x Cookbook - Fifth Edition

Product typeBook
Published inMay 2022
PublisherPackt
ISBN-139781801079815
Edition5th Edition
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Author (1)
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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Setting up an NFS share for backups

Managing the repository (where the data is stored) is the most crucial part of Elasticsearch backup management. Due to its native distributed architecture, the snapshot and the restoration process are designed in a cluster style.

During a snapshot, the shards are copied to the defined repository. If this repository is local to the nodes, then the backup data is spread across all the nodes. For this reason, it's necessary to have shared repository storage if you have a multi-node cluster.

A common approach is to use an NFS, as it's very easy to set up, and it's a very quick solution (additionally, standard Windows Samba shares can be used).

Getting ready

We have a network with the following nodes:

  • Host server: 192.168.1.30 (where we will store the backup data)
  • Elasticsearch master node 1: 192.168.1.40
  • Elasticsearch data node 1: 192.168.1.50
  • Elasticsearch data node 2: 192.168.1.51

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Elasticsearch 8.x Cookbook - Fifth Edition
Published in: May 2022Publisher: PacktISBN-13: 9781801079815

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