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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
Getting Started Downloading and Setting Up ElasticSearch Managing Mapping Standard Operations Search, Queries, and Filters Facets Scripting Rivers Cluster and Nodes Monitoring Java Integration Python Integration Plugin Development Index

Sorting a search


While searching for results, the most common criteria in ElasticSearch is the relevance against a text query. Thus the real world applications need to control the sorting criteria. The following are the typical scenarios:

  • Sorting a user by surname and name

  • Sorting items by stock, price (ascendant, descendent)

  • Sorting documents by size, file type, source, and so on

Getting ready

You need a working ElasticSearch cluster and an index populated with the script available in the online code.

How to do it...

For sorting the results, we need to perform the steps given as follows:

  1. We need to add a sort section to our query as follows:

    curl -XGET 'http://127.0.0.1:9200/test-index/test-type/_search?pretty=true' -d '{"query":{"match_all":{}},
       "sort" : [
          {"price" : {"order" : "asc", "mode" : "avg", "ignore_unmapped":true, "missing":"_last"}},
    "_score"
       ]
    }'
  2. The returned result should be similar to the following one:

    …,
      "hits" : {
        "total" : 3,
        "max_score" : null,
        "hits"...
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