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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 nested objects


There is a special type of embedded object: the nested one. This resolves a problem related to the Lucene indexing architecture, in which all the fields of embedded objects are viewed as a single object, because during search it is not possible to distinguish values between different embedded objects in the same multi-valued array.

If we consider the previous order example, it's not possible to disguise an item name and its quantity with the same query. We need to index them in different elements and when we join them. This entire trip is managed by nested objects and nested queries.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

A nested object is defined as the standard object with the nested type.

From the example of the Mapping an object recipe, we can change the type from object to nested as shown in the following code:

{
  "order" : {
    "properties" : {
      "id" : {"type" : "string", 
      "store" : "yes", "index":"not_analyzed"},
   ...
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