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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

Mapping arrays

Arrays or multi-value fields are very common in data models, but not natively supported in traditional SQL solutions.

In SQL, multi-value fields require the creation of accessory tables that must be joined to gather all the values, resulting in poor performance when the cardinality of records is huge.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

Every field is automatically managed as an array. For example, to store tags for a document, the mapping will be as shown in the following code snippet:

{
  "document" : {
    "properties" : {
      "name" : {"type" : "string",  "index":"analyzed"},
      "tag" : {"type" : "string", "store" : "yes" , "index":"not_analyzed"},
    
    }
  }
}

This mapping is valid for indexing the following documents:

{"name": "document1", "tag": "awesome&quot...
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