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Elasticsearch 7 Quick Start Guide

You're reading from  Elasticsearch 7 Quick Start Guide

Product type Book
Published in Oct 2019
Publisher Packt
ISBN-13 9781789803327
Pages 186 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Anurag Srivastava Anurag Srivastava
Profile icon Anurag Srivastava
LinkedIn
Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt.
See other products by Anurag Srivastava
Douglas Miller Douglas Miller
Profile icon Douglas Miller
LinkedIn
Douglas Miller is an expert in helping fast-growing companies to improve performance and stability, and in building search platforms using Elasticsearch. Clients (including Walgreens, Nike, Boeing, and Dish Networks) have seen sales increase, fast performance times, and lower overall costs in terms of the total costs of ownership for their Elasticsearch clusters.
See other products by Douglas Miller
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Table of Contents (10) Chapters

Preface Introduction to Elastic Stack Installing Elasticsearch Many as One – the Distributed Model Prepping Your Data – Text Analysis and Mapping Let's Do a Search! Performance Tuning Aggregating Datasets Best Practices Other Books You May Enjoy

Data backup and snapshots

It is important to back up a cluster and all the data it contains. We have already talked about replica shards in the previous section. These are not appropriate as a backup, as they do not provide any data protection. Instead, there is a specific API that snapshots and then restores data. The snapshot and restore API is a cluster backup mechanism that saves the current state of the cluster in a repository. We also use the reindex API to make temporary backups when making certain bulk document changes, such as _update_by_query and _delete_by_query. Back up all documents first with _reindex.

There are a few different ways to create a repository for backups. All of the following are supported:

  • Shared file systems: fs file type
  • Read-only URLs: url file type
  • S3: s3 file type
  • HDFS: hdfs file type
  • Azure: azure file type
  • Google Cloud Storage: gcs file type
    • ...
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Authors (2)

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Profile icon Anurag Srivastava
LinkedIn
Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt.
Read more
See other products by Anurag Srivastava
Profile icon Douglas Miller
LinkedIn
Douglas Miller is an expert in helping fast-growing companies to improve performance and stability, and in building search platforms using Elasticsearch. Clients (including Walgreens, Nike, Boeing, and Dish Networks) have seen sales increase, fast performance times, and lower overall costs in terms of the total costs of ownership for their Elasticsearch clusters.
See other products by Douglas Miller
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