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You're reading from  Elasticsearch 7.0 Cookbook. - Fourth Edition

Product typeBook
Published inApr 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789956504
Edition4th Edition
Languages
Java
Tools
Elasticsearch
Concepts
Enterprise Search
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Author (1)
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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Mapping an alias field

It is very common to have a lot of different types in several indices. Because Elasticsearch makes it possible to search in many indices, you should filter for common fields at the same time.

In the real world, these fields are not always called in the same way in all mappings (generally because they are derived from different entities), it's very common to have a mix of added_date, timestamp, @timestamp, and date_add fields that are referring to the same date concept.

The alias fields allow you to define an alias name to be resolved, as well as a query time to simplify the call of all fields with the same meaning.

Getting ready

 

You need an up-and-running Elasticsearch installation...

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Elasticsearch 7.0 Cookbook. - Fourth Edition
Published in: Apr 2019Publisher: PacktISBN-13: 9781789956504
© 2019 Packt Publishing Limited All Rights Reserved

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

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