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ElasticSearch Blueprints

You're reading from  ElasticSearch Blueprints

Product type Book
Published in Jul 2015
Publisher Packt
ISBN-13 9781783984923
Pages 192 pages
Edition 1st Edition
Languages

Table of Contents (15) Chapters

Elasticsearch Blueprints
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Google-like Web Search 2. Building Your Own E-Commerce Solution 3. Relevancy and Scoring 4. Managing Relational Content 5. Analytics Using Elasticsearch 6. Improving the Search Experience 7. Spicing Up a Search Using Geo 8. Handling Time-based Data Index

Implementing a prize range filter


Now, let's move on and see how to implement a prize range filter as seen in some e-commerce websites. Consider the following screenshot of an e-commerce site:

In the preceding screenshot, you can see a price range filter on the left-hand side tab. By clicking on or specifying the price ranges, the products that fall within that range would be displayed. This is nothing but a numeric range filter.

The implementation of a numeric range filter is almost similar to the date range filter in Elasticsearch. The following code snippet shows how to implement a numeric range filter. Here is the sample; assume that you have an age field that is numeric in nature:

{
    "filtered" : {
        "filter" : {
            "range" : {
                "age" : {
                    "gte": 10,
                    "lte": 20
                }
            }
        }
    }
}

After reading the implementation of filters, which is to be followed, you would understand the snippet completely...

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