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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

Similarity model configuration


As we now know how to set the desired similarity for each field in our index, it's time to see how to configure them if we need them, which is actually pretty easy. What we need to do is use the index settings section to provide an additional similarity section. An example is as follows (this example is stored in the posts_custom_similarity.json file):

{ 
 "settings" : { 
  "index" : { 
   "similarity" : { 
    "mastering_similarity" : { 
     "type" : "classic", 
     "discount_overlaps" : false 
    } 
   } 
  } 
 }, 
 "mappings" : { 
  "post" : { 
   "properties" : { 
    "id" : { "type" : "long", "store" : "yes" }, 
    "name" : { "type" : "text", "store" : "yes", "index" :  
"analyzed", "similarity" : "mastering_similarity" }, 
    "contents" : { "type" : "text", "store" : "no", "index" :  
"analyzed" } 
   } 
  } 
 } 
} 

You can, of course...

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