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ElasticSearch Blueprints

You're reading from   ElasticSearch Blueprints A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch

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Product type Paperback
Published in Jul 2015
Publisher Packt
ISBN-13 9781783984923
Length 192 pages
Edition 1st Edition
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Toc

Table of Contents (10) Chapters Close

Preface 1. Google-like Web Search 2. Building Your Own E-Commerce Solution FREE CHAPTER 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 category filter


Normally, the category fields are of the type string. We need to index this unanalyzed field to match the exact term. In fact, Elasticsearch uses a term filter for the purpose of matching strings:

The following snippet shows you how to use a terms filter:

{
    "filtered" : {
        "filter" : {
            "term" : {
                "category" : "Books"
        
            }
        }
    }
}
You have been reading a chapter from
ElasticSearch Blueprints
Published in: Jul 2015
Publisher: Packt
ISBN-13: 9781783984923
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