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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 FREE CHAPTER 2. Downloading and Setting Up 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

Putting a mapping in an index


In the previous chapter, we saw how to build a mapping by indexing documents. This recipe shows how to put a type of mapping in an index. This kind of operation can be considered the ElasticSearch version of an SQL create table.

Getting ready

You will need a working ElasticSearch cluster and the index created in the Creating an index recipe in this chapter.

How to do it...

The HTTP method for puttting a mapping is PUT (POST also works).

The URL format for putting a mapping is:

http://<server>/<index_name>/<type_name>/_mapping

To put a mapping in an Index, we will perform the following steps:

  1. If we consider the type order of the previous chapter, the call will be:

    curl -XPUT 'http://localhost:9200/myindex/order/_mapping' -d '{
      "order" : {
        "properties" : {
          "id" : {"type" : "string", "store" : "yes" , "index":"not_analyzed"},
          "date" : {"type" : "date", "store" : "no" , "index":"not_analyzed"},
          "customer_id" : {"type" : "string"...
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