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ElasticSearch Cookbook

You're reading from  ElasticSearch Cookbook

Product type Book
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Pages 422 pages
Edition 1st Edition
Languages
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro

Table of Contents (19) Chapters

ElasticSearch Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 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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