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

Product typeBook
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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Setting up a NFS share for backup


Managing the repository is the most import issue in Elasticsearch backup management. Due to its native distributed architecture, the snapshot and the restore 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, the backup data is spread across all the nodes. For this reason, it's necessary to have shared repository storage if you have a multimode cluster.

A common approach is to use a Network File System (NFS), as it's very easy to set up and it's a very fast solution (also, 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

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe...

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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