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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Downloading and Setting Up 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

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 it.

ElasticSearch allows you to open or close an index to put it in online/offline mode.

Getting ready

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

How to do it...

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

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

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

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

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

    {"acknowledged":true}

How it works...

When an index is closed, there is no overhead on the cluster (except for the metadata state); the index shards are turned off and don't use file descriptors...

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