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Elasticsearch 8.x Cookbook

You're reading from   Elasticsearch 8.x Cookbook Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Length 750 pages
Edition 5th Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Getting Started 2. Chapter 2: Managing Mappings FREE CHAPTER 3. Chapter 3: Basic Operations 4. Chapter 4: Exploring Search Capabilities 5. Chapter 5: Text and Numeric Queries 6. Chapter 6: Relationships and Geo Queries 7. Chapter 7: Aggregations 8. Chapter 8: Scripting in Elasticsearch 9. Chapter 9: Managing Clusters 10. Chapter 10: Backups and Restoring Data 11. Chapter 11: User Interfaces 12. Chapter 12: Using the Ingest Module 13. Chapter 13: Java Integration 14. Chapter 14: Scala Integration 15. Chapter 15: Python Integration 16. Chapter 16: Plugin Development 17. Chapter 17: Big Data Integration 18. Chapter 18: X-Pack 19. Other Books You May Enjoy

ILM – managing the index life cycle

Index Lifecycle Management (ILM) in Elasticsearch is a system that allows you to set up policies to manage different aspects of your index life, such as the following:

  • Manage daily, weekly, and monthly indices with backup, optimization, and movement in the different serving tiers (hot and cold)
  • Create and switch to new indices when some indices reach a certain size or number of documents
  • Delete obsolete indices at the end of their life
  • Delete stale indices to enforce retention standards (that is, General Data Protection Regulation (GDPR) and 3-month retention)

ILM policies can be defined via an API or Kibana (go to Stack Management | Index Lifecycle Policies):

Figure 18.1 – The Kibana view of Index Lifecycle Policies

Getting ready

You need an up-and-running Elasticsearch installation, as we described in the Downloading and installing Elasticsearch recipe in Chapter 1...

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