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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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Author (1)
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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Flushing an index


ElasticSearch for performance reasons stores some data in memory and on a transaction log. If we want to free the memory, empty the translation log and be sure that our data is safely written on the disk we need to flush an index.

Getting ready

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

How to do it...

The HTTP method used for both operations is POST.

The URL format for flushing an index is as follows:

http://<server>/<index_name(s)>/_flush[?refresh=True] 

The URL format for flushing all the indices in a cluster is as follows:

http://<server>/_flush[?refresh=True] 

For flushing an index, we need to perform the following steps:

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

    curl -XPOST 'http://localhost:9200/myindex/_flush?refresh=True'
    
  2. If everything is all right, the result returned by ElasticSearch should be as follows:

    {"ok":true,"_shards":{"total":4,"successful":2,"failed...
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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