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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 explicit mapping creation


If we consider the index as a database in the SQL world, the mapping is similar to the table definition.

Getting ready

You need a working ElasticSearch cluster, a test index (refer to the Creating an index recipe in Chapter 4, Standard Operations), and basic knowledge of JSON.

How to do it...

For explicit mapping creation, we will perform the following steps:

  1. You can explicitly create a mapping by adding a new element in ElasticSearch.

    On bash:

    #create an index
    curl -XPUT http://127.0.0.1:9200/test
    #{"ok":true,"acknowledged":true}
    
    #put a record
    curl -XPUT http://127.0.0.1:9200/test/mytype/1 -d '{"name":"Paul", "age":35}'
    # {"ok":true,"_index":"test","_type":"mytype","_id":"1","_version":1}
    
    #get the mapping and pretty print it
    curl –XGET http://127.0.0.1:9200/test/mytype/_mapping?pretty=true
    
  2. The result mapping auto-created by ElasticSearch should be as follows:

    {
      "mytype" : {
        "properties" : {
          "age" : {
            "type" : "long"
          },
          "name" :...
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