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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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Creating an index


The first operation to do before starting indexing data in Elasticsearch is to create an index--the main container of our data.

An index is similar to the concept of a database in SQL, a container for types (tables in SQL) and documents (records in SQL).

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...

The HTTP method to create an index is PUT (but also POST works); the REST URL contains the index name:

http://<server>/<index_name>

For creating an index, we will perform the following steps:

  1. From the command line, we can execute a PUT call:

                curl -XPUT http://127.0.0.1:9200/myindex -d '{
                    "settings" : {
                    "index" : {
                    "number_of_shards" : 2,
                    "number_of_replicas...
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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