Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Length 750 pages
Edition 5th Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
Arrow right icon
View More author details
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

Adding metadata to a mapping

Sometimes, when we are working with our mapping, we may need to store some additional data to be used for display purposes, ORM facilities, permissions, or simply to track them in the mapping.

Elasticsearch allows you to store every kind of JSON data you want in the mapping with the special _meta field.

Getting ready

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

How to do it…

The _meta mapping field can be populated with any data we want in JSON format, like so:

{ "_meta": {
    "attr1": ["value1", "value2"],
    "attr2": { "attr3": "value3" }
  } }

How it works…

When Elasticsearch processes a new mapping and finds a _meta field, it stores it as-is in the global mapping status and propagates the information to all the cluster nodes. The content of the _meta files is only checked to ensure it's a valid JSON format. Its content is not taken into consideration by Elasticsearch. You can populate it with everything you need to be in JSON format.

_meta is only used for storing purposes; it's not indexed and searchable. It can be used to enrich your mapping with custom information that can be used by your applications.

It can be used for the following reasons:

  • Storing type metadata:
    {"name": "Address", "description": "This entity store address information"}
  • Storing object relational mapping (ORM)-related information (such as mapping class and mapping transformations):
    {"class": "com.company.package.AwesomeClass", "properties" : { "address":{"class": "com.company.package.Address"}} }
  • Storing type permission information:
    {"read":["user1", "user2"], "write":["user1"]}
  • Storing extra type information (that is, the icon filename, which is used to display the type):
    {"icon":"fa fa-alert" }
  • Storing template parts for rendering web interfaces:
    {"fragment":"<div><h1>$name</h1><p>$description</p></div>" }
You have been reading a chapter from
Elasticsearch 8.x Cookbook - Fifth Edition
Published in: May 2022
Publisher: Packt
ISBN-13: 9781801079815
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime