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Elasticsearch 8.x Cookbook - Fifth Edition

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

Product type Book

Published in May 2022

Publisher Packt

ISBN-13 9781801079815

Pages 750 pages

Edition 5th Edition

Languages

Concepts

Enterprise Search

Author (1):

Alberto Paro

Table of Contents (20) Chapters

Preface

Chapter 1: Getting Started

Chapter 2: Managing Mappings

Chapter 3: Basic Operations

Chapter 4: Exploring Search Capabilities

Chapter 5: Text and Numeric Queries

Chapter 6: Relationships and Geo Queries

Chapter 7: Aggregations

Chapter 8: Scripting in Elasticsearch

Chapter 9: Managing Clusters

Chapter 10: Backups and Restoring Data

Chapter 11: User Interfaces

Chapter 12: Using the Ingest Module

Chapter 13: Java Integration

Chapter 14: Scala Integration

Chapter 15: Python Integration

Chapter 16: Plugin Development

Chapter 17: Big Data Integration

Chapter 18: X-Pack

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Reindexing from a remote cluster

The snapshot and restore APIs are very fast and are the preferred way to back up data. However, they do have some limitations:

The backup is a safe Lucene index copy, so it depends on the Elasticsearch version that has been used. If you are switching from a version of Elasticsearch that is earlier than version 5.x, then it's not possible to restore the old indices.
It's not possible to restore the backups of a newer Elasticsearch version in an older version; the restore is only forward compatible.
It's not possible to restore partial data from a backup.

To be able to copy data in this scenario, the solution is to use the reindex API using a remote server.

Getting ready

You will need an up-and-running Elasticsearch installation – similar to the one that we described in the Downloading and installing Elasticsearch recipe of Chapter 1, Getting Started.

In order to execute the commands, any HTTP client...

The rest of the chapter is locked

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Authors (1)

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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