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You're reading from  Elasticsearch 5.x Cookbook - Third Edition

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Published inFeb 2017
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ISBN-139781786465580
Edition3rd 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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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 an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

To be able to use advanced shape management, Elasticsearch requires two JAR libraries in its classpath (usually the lib directory):

  • Spatial4J (v0.3)

  • JTS (v1.13)

How to do it

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

  • tree: This is the name of the PrefixTree implementation: geohash for GeohashPrefixTree and quadtree for QuadPrefixTree (default geohash)

  • precision: This is 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, 10m, 10km, 10miles, and so on

  • tree_levels: This is the maximum number of layers to be used in the prefix tree

  • distance_error_pct...

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Elasticsearch 5.x Cookbook - Third Edition
Published in: Feb 2017Publisher: ISBN-13: 9781786465580

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