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ElasticSearch Cookbook

You're reading from   ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Length 422 pages
Edition 1st 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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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 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

Executing term statistical facets


The term statistical facets unifies both term and statistical facets in a single one. This kind of facet is used to aggregate values using a field and compute statistic on another one.

This covers a lot of common scenarios required in facets that are generally referred as value X for feature Y.

Getting ready

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

How to do it...

For executing term statistical facets, we will perform the steps given as follows:

  1. We need to compute the price as the function of available tags.

  2. To reach our goal we need to write a request similar to the following code:

    curl -XGET 'http://127.0.0.1:9200/test-index/test-type/_search?pretty=true&size=0' -d '{
        "query": {
            "match_all": {}
        },
        "facets": {
            "price_for_tag" : {
                "terms_stats" : {
                    "key_field" : "tag",
                    "value_field" : "price"
                }
            }
        }...
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