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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd 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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Table of Contents (14) Chapters Close

Preface 1. Getting Started 2. Downloading and Setting Up FREE CHAPTER 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Using explicit mapping creation


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

ElasticSearch is able to understand the structure of the document that you are indexing (reflection) and creates the mapping definition automatically (explicit mapping creation).

Getting ready

You will need a working ElasticSearch cluster, an index named test (see the Creating an index recipe in Chapter 4, Basic Operations), and basic knowledge of JSON.

How to do it...

To create an explicit mapping, perform the following steps:

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

    • On a Linux shell:

      #create an index
      curl -XPUT http://127.0.0.1:9200/test
      #{acknowledged":true}
      
      #put a document
      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...
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