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ElasticSearch Cookbook

You're reading from   ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Length 422 pages
Edition 1st 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 (19) Chapters Close

ElasticSearch Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setting Up ElasticSearch 3. Managing Mapping 4. Standard Operations 5. Search, Queries, and Filters 6. Facets 7. Scripting 8. Rivers 9. Cluster and Nodes Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Adding generic data to mapping


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

ElasticSearch allows storing every kind of JSON data we want in the mapping, with the special _meta field.

Getting ready

You need a working ElasticSearch cluster

How to do it...

The _meta mapping field can be populated with every data we want. For example:

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

How it works...

When ElasticSearch processes a mapping and finds a _meta field, it stores it in the global mapping status aligned in all the cluster nodes.

The _meta field is only for storing purposes; it's not indexed and searchable.

It can be used for:

  • Storing the metadata type

  • Storing Object Relational Mapping (ORM) related information

  • Storing type permission information

  • Storing extra type information...

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