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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd 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 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Managing a child document


In the previous recipe, you saw how it's possible to manage relationships between objects with the nested object type. The disadvantage of using nested objects is their dependency on their parent. If you need to change the value of a nested object, you need to reindex the parent (this brings about a potential performance overhead if the nested objects change too quickly). To solve this problem, ElasticSearch allows you to define child documents.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

You can modify the mapping of the order example from the Mapping a document recipe by indexing the items as separate child documents.

You need to extract the item object and create a new type of document item with the _parent property set:

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