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

Product typeBook
Published inFeb 2017
Publisher
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.
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Executing an aggregation


Elasticsearch provides several functionalities other than search; it allows executing statistics and real-time analytics on searches via the aggregations.

Getting ready

You need an up-and-running Elasticsearch installation, as we described 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 command, you need an index populated with the script (chapter_08/populate_aggregations.sh) available in the online code.

How to do it...

For executing an aggregation, we will perform the following steps:

  1. We want to compute the top 10 tags by name. We can obtain this from the command line, executing a similar query with aggregations as follows:

            curl -XGET 'http://127.0.0.1:9200/test-index/test-type/_search?  
            pretty&size=0' -d '{ 
                "query": { 
                    "match_all": {} 
          ...
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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