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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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Speeding up atomic operations (bulk operations)


When we are inserting/deleting/updating a large number of documents, the HTTP overhead is significant. To speed up the process Elasticsearch allows executing the bulk of CRUD calls.

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.

How to do it...

As we are changing the state of the data, the HTTP method is POST and the REST URL is:

http://<server>/<index_name/_bulk

To execute a bulk action, we will perform the following steps:

  1. We need to collect the create/index/delete/update commands in a structure made of bulk JSON lines, composed by a line of action with metadata and another optional line of data related to the action. Every line must end with a new line \n. A bulk data file should be, for example:

            { "index":{ "_index":"myindex...
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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