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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

Executing terms facets


The terms facet is one of the most used ones. It counts the terms that are in a field of resulting hits. This facet is often used to drill down search.

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 executing a term facet, we will perform the steps given as follows:

  1. We want to calculate the tag count of all the documents: the REST call should be:

    curl -XGET 'http://127.0.0.1:9200/test-index/test-type/_search?pretty=true&size=0' -d '{
        "query": {
            "match_all": {}
        },
        "facets": {
            "tag": {
                "terms": {
                    "field": "tag",
                    "size": 10
                }
            }
        }
    }'

    In this example, we need to match all the items, so the match_all query is used.

  2. The result returned by ElasticSearch, if everything is all right, should be:

    {
      "took" : 2,
      "timed_out" : false,
      "_shards" : {
        "total" : 5,
        "successful" : 5,
      ...
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