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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

Mapping an object


The object is the base structure (also called as record in SQL). ElasticSearch extends the traditional use of object, allowing recursive embedded objects.

Getting ready

You will require a working ElasticSearch cluster.

How to do it...

We can rewrite the order mapping of the Mapping base types recipe using an array of items as shown in the following code:

{
  "order" : {
    "properties" : {
      "id" : {"type" : "string", 
      "store" : "yes", "index":"not_analyzed"},
      "date" : {"type" : "date", "store" : "no", 
        "index":"not_analyzed"},
      "customer_id" : {"type" : "string", "store" : "yes",
        "index":"not_analyzed"},
      "sent" : {"type" : "boolean", "store" : "no", 
        "index":"not_analyzed"},
      "item" : {
        "type" : "object",
        "properties" : {
          "name" : {"type" : "string", "store" : "no",
            "index":"analyzed"},
          "quantity" : {"type" : "integer", 
            "store" : "no",
            "index":"not_analyzed...
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