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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

The store type


Elasticsearch exposes five store types that we can use. By default, Elasticsearch picks the best implementation based on the operating system environment. But you can override the default behavior in following ways:

  • The first way, is to set for all the indices, by adding the index.store.type property inside the elasticsearch.yml file. For example, if you want to set the niofs store type to all the indices you can add following line inside elasticsearch.yml file:

index.store.type: niofs 
  • The second way is to set per index at the index creation time in the following way:

curl -XPUT "http://localhost:9200/index_name" -d' { 
 "settings": { 
 "index.store.type": "niofs" 
 } 
}'

Let's see what these store types provide and how we can leverage their features.

The simple file system store - simplefs

The simplest implementation of the Directory class that is available is implemented using a random access file (Java RandomAccessFile—http://docs.oracle.com/javase/8/docs/api/java/io...

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