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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

Using dynamic templates in document mapping


In the Using explicit mapping creation recipe, we saw how ElasticSearch is able to guess the field type using reflection. In this recipe we'll see how to help improve its guessing capabilities.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

We can extend the previous mapping adding document-related settings:

{
  "order" : {
    "index_analyzer":"standard",
    "search_analyzer":"standard",
    "dynamic_date_formats":["yyyy-MM-dd", "dd-MM-yyyy"],
    "date_detection":true,
    "numeric_detection":true,
    "dynamic_templates":[
    {"template1":{      "match":"*",      "match_mapping_type":"long",      "mapping":{"type":" {dynamic_type}",        "store":true}    }}
    ],    "properties" : {…}
  }
}

How it works...

The root object (document) controls the behavior of its fields and all its children object fields.

In the document mapping we can define:

  • index_analyzer: This defines the analyzer to be used for indexing within this document...

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