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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

Aggregating your results

Next, when I search for Lenovo, I would like to see different product types associated with it. This is more like making a report out of the results, but then, as this makes your data more explorable and easy to understand, it's safe to see this as enhancing search capabilities.

Hence, whenever I search for something, I want to see the following reports on my query results or rather, an aggregate of my results in the following information:

  • Different types of productType
  • The number of products in various predefined price ranges
  • The number of documents per year based on manufacturing dates

For this, we need to build different aggregations to capture these reports.

Note

It's very important to understand that the score of aggregation is the query. This means that the aggregations would only be done on those documents that match the query.

The format in which we should provide aggregations is as follows:

{
    "query" : { ….},
    "aggregations...
You have been reading a chapter from
ElasticSearch Blueprints
Published in: Jul 2015
Publisher: Packt
ISBN-13: 9781783984923
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