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You're reading from  ElasticSearch Cookbook

Product typeBook
Published inDec 2013
Reading LevelBeginner
PublisherPackt
ISBN-139781782166627
Edition1st Edition
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Alberto Paro
Alberto Paro
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Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro

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Opening/closing an index


If you want to keep your data but save resources (memory/CPU), a good alternative to deleting an index is to close them.

ElasticSearch allows to open/close an index for putting it in the online/offline mode.

Getting ready

You need a working ElasticSearch cluster and the index created in the Creating an index recipe.

How to do it...

For opening/closing an index, we need to perform the following steps:

  1. From command line, we can execute a POST call to close an index as follows:

    curl -XPOST http://127.0.0.1:9200/myindex/_close
    
  2. If the call is successfully made, the result returned by ElasticSearch should be as follows:

    {"ok":true,"acknowledged":true}
  3. To open an index from command line use the following command:

    curl -XPOST http://127.0.0.1:9200/myindex/_open
    
  4. If the call is successfully made, the result returned by ElasticSearch should be as follows:

    {"ok":true,"acknowledged":true}

How it works...

When an index is closed, there is no overhead on the cluster (except for metadata state...

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ElasticSearch Cookbook
Published in: Dec 2013Publisher: PacktISBN-13: 9781782166627

Author (1)

author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro