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You're reading from  ElasticSearch Cookbook

Product typeBook
Published inDec 2013
Reading LevelBeginner
PublisherPackt
ISBN-139781782166627
Edition1st Edition
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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.
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Introduction


Mapping is the most important concept in ElasticSearch, as it defines how a search engine should process a document.

Search engines are mainly composed of two parts:

  • Indexing: This action takes a document and stores/indexes/processes it in an index

  • Searching: This action retrieves the data from the index

These two parts are strictly connected; an error in the indexing step leads to unwanted or missing search results.

ElasticSearch has explicit mapping on an index/type level. When indexing, if mapping is not provided, a default mapping is created, guessing the structure from the data fields that compose the document. Then, this new mapping is automatically propagated to all cluster nodes.

The default type mapping has sensible default values, but when you want to change their behavior you need to provide a new mapping definition.

In this chapter, we'll see all the possible types that compose the mappings.

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ElasticSearch Cookbook
Published in: Dec 2013Publisher: PacktISBN-13: 9781782166627

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