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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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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

Refreshing an index


ElasticSearch allows the user to control the state of the searcher using forced refresh on an index. If not forced, the new indexed document will only be searchable after a fixed time interval (usually 1 second).

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...

The URL formats for refreshing an index, are:

http://<server>/<index_name(s)>/_refresh

The URL format for refreshing all the indices in a cluster, is:

http://<server>/_refresh

The HTTP method used for both URLs is POST.

To refresh an index, we will perform the following steps:

  1. If we consider the type order of the previous chapter, the call will be:

    curl -XPOST 'http://localhost:9200/myindex/_refresh'
    
  2. The result returned by ElasticSearch should be:

    {"_shards":{"total":4,"successful":2,"failed":0}}

How it works...

Near Real-Time (NRT) capabilities are automatically managed by ElasticSearch, which automatically...

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