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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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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

Setting a per-field similarity


Since Elasticsearch 0.90, we are allowed to set a different similarity for each of the fields we have in our mappings. For example, let's assume that we have the following simple mappings that we use in order to index blog posts (stored in the posts_no_similarity.json file):

{ 
  "mappings" : { 
    "post" : { 
      "properties" : { 
        "id" : { "type" : "long", "store" : "yes" }, 
        "name" : { "type" : "text", "store" : "yes", "index" :  
          "analyzed" }, 
        "contents" : { "type" : "text", "store" : "no", "index" :  
        "analyzed" } 
      } 
    } 
 } 
} 

What we would like to do is use the classic similarity model for the name field and the contents field. In order to do this, we need to extend our field definitions and add the similarity property with the value of the chosen similarity name. Our changed mappings (stored in the posts_similarity.json file) would...

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