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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.
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Using the function score query

This kind of query is one of the most powerful queries that are available. This is because it allows extensive customization of a scoring algorithm. The function_score query allows us to define a function that controls the score of the documents that are returned by a query.

Generally, these functions are CPU-intensive, and executing them on a large dataset (for instance, millions of records) requires a lot of memory and time, but computing them on a small subset can significantly improve the search quality.

The common scenarios used for this query are listed as follows:

  • Creating a custom score function (for example, with the decay function)
  • Creating a custom boost factor, for example, based on another field (that is, boosting a document by distance from a point)
  • Creating a custom filter score function, for example, based on scripting Elasticsearch capabilities
  • Ordering the documents randomly

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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