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Mastering Elasticsearch 5.x

You're reading from   Mastering Elasticsearch 5.x Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460189
Length 428 pages
Edition 3rd Edition
Languages
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Author (1):
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Bharvi Dixit Bharvi Dixit
Author Profile Icon Bharvi Dixit
Bharvi Dixit
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Toc

Table of Contents (13) Chapters Close

Preface 1. Revisiting Elasticsearch and the Changes 2. The Improved Query DSL FREE CHAPTER 3. Beyond Full Text Search 4. Data Modeling and Analytics 5. Improving the User Search Experience 6. The Index Distribution Architecture 7. Low-Level Index Control 8. Elasticsearch Administration 9. Data Transformation and Federated Search 10. Improving Performance 11. Developing Elasticsearch Plugins 12. Introducing Elastic Stack 5.0

Multimatch types


In this section, we will cover the different flavors of multi-match queries, which are mainly controlled using the type property. The following are the available types:

  • The best_fields type

  • The most_fields type

  • The cross_fields type

  • The phrase type

  • The phrase_prefix type

Best fields matching

To use the best_fields type matching, one needs to set the type property of the multi_match query to the best_fields query. This type of multimatching will generate a match query for each field specified in the fields property and it is best used for searching for multiple words in the same best matching field. For example, let's look at the following query:

curl -XGET 'localhost:9200/library/_search?pretty' -d '{ 
  "query" : { 
    "multi_match" : { 
      "query" : "complete conan doyle", 
      "fields" : [ "title", "author", "characters" ], 
      "type" : "best_fields", 
      "tie_breaker" : 0.8 
    } 
  } 
}'

The preceding query would be translated into a query similar to the following...

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