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You're reading from  Elasticsearch 5.x Cookbook - Third Edition

Product typeBook
Published inFeb 2017
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ISBN-139781786465580
Edition3rd 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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Refreshing an index


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

Getting ready

You need an up-and-running Elasticsearch installation, as used in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

To execute curl via the command line, you need to install curl for your operative system.

To correctly execute the following commands, use the index created in the Creating an index recipe.

How to do it...

The HTTP method used for both operations is POST. The URL formats for refreshing an index, are:

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

The URL formats, for refreshing all the indices in a cluster, are:

http://<server>/_refresh

For refreshing 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:...
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Elasticsearch 5.x Cookbook - Third Edition
Published in: Feb 2017Publisher: ISBN-13: 9781786465580

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