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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 FREE CHAPTER 2. The Improved Query DSL 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

Choosing the default similarity model


In order to change the similarity model used by default, we need to provide a configuration of a similarity model that will be called by default. For example, if we would like to use our mastering_similarity name as the default one, we would have to change the preceding configuration to the following one (the whole example is stored in the posts_default_similarity.json file):

{ 
  "settings" : { 
  "index" : { 
    "similarity" : { 
      "default" : { 
        "type" : "classic", 
        "discount_overlaps" : false 
      } 
    } 
  } 
  }, 
  ... 
}

Because of the fact that the query norm and coordination factors (which were explained in The changed default text scoring in Lucene section, in Chapter 2, The Improved Query DSL) are used by all similarity models globally and are taken from the default similarity, Elasticsearch allows us to change them when needed. To do this, we need to define...

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