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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

Filter your results based on a date range


With a fair idea in mind of when to use your filter and when to opt for a query, let's think of some scenarios and see how Elasticsearch enables filtering at its best. Filtering by a date range, prize, or department often pops up in use cases in an e-commerce view. Look at the left-hand side of the following figure:

Checking for new arrivals or selecting an old classic song from a library may need a date-range-based filtering mechanism. Elasticsearch provides inbuilt facilities to do filtering by providing a date range filter. A term filter does the same thing for strings, which can be anything for example, a department or category. A numeric filter filters numerals and can be used for prizes and so on.

This snippet shows how you can implement a date-range-based filtering in Elasticsearch:

{
"query" : 
{ "filtered" :
  { "query" :
    { "text" : { "content" : "any keywords to match" }
  },
 "filter" : 
{ "numeric_range" :
 { "date" :
     { "lt" : ...
You have been reading a chapter from
ElasticSearch Blueprints
Published in: Jul 2015
Publisher: Packt
ISBN-13: 9781783984923
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