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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 (14) Chapters Close

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

Managing a child document


In the previous recipe we have seen how it's possible to manage relations between objects with the nested object type. The disadvantage of nested objects is their dependence to their parent. If you need to change the value of a nested object, you need to reindex the parent (this brings to a potential performance overhead if the nested objects change too quickly). To solve this problem, ElasticSearch allows defined child documents.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

We can modify the order example indexing the items as separated child documents.

We need to extract the item object and create a new type document item with the _parent property set.

{
  "order": {
    "properties": {
      "id": {
        "type": "string",
        "store": "yes",
        "index": "not_analyzed"
      },
    "date": {
      "type": "date",
      "store": "no",
      "index": "not_analyzed"
    },
    "customer_id": {
      "type": "string",
      "store...
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