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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

Elasticsearch scripting


One of the great things in Elasticsearch is its scripting capabilities. In those scenarios where the API is just not enough, Elasticsearch allows you to write your own custom logic in a script. You can use this script for calculating the score, text-based scoring, data filtering, data analysis, and doing partial updates to the documents. Although scripting can be slow in some cases, such as calculating the score for each document, we think that this part of Elasticsearch is important. Scripting is supported in many APIs including search, sorting, aggregations, and document updates.

The syntax

The script follows the following pattern whenever it is used in any Elasticsearch API:

"script": { 
  "lang":   "...", 
  "inline" | "id" | "file": "...", 
  "params": { ... } 
} 

Let us understand the script parameters:

  • The lang parameter is the language the script is written in, which defaults to painless.

  • The inline | id | file parameter is the script itself, which may be specified...

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