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You're reading from  Elasticsearch 8.x Cookbook - Fifth Edition

Product typeBook
Published inMay 2022
PublisherPackt
ISBN-139781801079815
Edition5th 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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Using a terms set query

The previous query will work very well if you have a fixed number of values via the minimum_should_match parameter to look for.

The natural evolution of the previous type query is to be able to define the minimum number of terms that should be matched via a related field in the document or via scripting code: the terms set query is able to cover these scenarios.

Getting ready

You will need an up-and-running Elasticsearch installation, as described in the Downloading and installing Elasticsearch recipe of Chapter 1, Getting Started.

To execute these commands, any HTTP client can be used, such as curl (https://curl.haxx.se/), Postman (https://www.getpostman.com/), or similar. I suggest you use the Kibana console, as it provides code completion and better character escaping for Elasticsearch.

How to do it...

To execute a terms query, we will perform the following steps:

  1. We will define an item mapping for an item entity:
...
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Elasticsearch 8.x Cookbook - Fifth Edition
Published in: May 2022Publisher: PacktISBN-13: 9781801079815

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