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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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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 a GeoShape field


An extension to the concept of point is the shape. ElasticSearch provides a type that facilitates the management of arbitrary polygons—the GeoShape.

Getting ready

You need a working ElasticSearch cluster with Spatial4J (V0.3) and JTS (v1.12) in the classpath to use this type.

How to do it...

To map a geo_shape type a user must explicitly provide some parameters:

  • tree (defaults to geohash): It's the name of the PrefixTree implementation; geohash for GeohashPrefixTree and quadtree for QuadPrefixTree.

  • precision: It's used instead of tree_levels to provide a more human value to be used in the tree level. The precision number can be followed by the unit, that is, 10 m, 10 km, 10 miles, and so on.

  • tree_levels: It's the maximum number of layers to be used in the PrefixTree.

  • distance_error_pct (defaults to 0,025% and max 0,5%): It sets the maximum error allowed in PrefixTree.

The customer_location mapping that we have seen in the previous recipe using geo_shape, will be:

"customer_location...
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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