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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Searching for same value across multiple fields

The multi_match query is used to match the same value across multiple fields. When a user searches for biking jacket, searching just the product_name field might not find any matches. To widen the search, we should most probably also search the description field along with the product_name field. The document that contains both biking and jacket is shown here:

 {
"product_name": "Men's Water Resistant Jacket",
"description": "Provides comfort during biking and hiking",
"unit_price": 69.99,
"reviews": 5,
"release_date": "2017-03-02"
}

Scoring based on a single field is pretty straightforward, scoring based on multiple fields gets tricky. We can't use a match query with an operator as the terms biking and jacket don't exist in...

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