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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Downloading and Setting Up 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Mapping a geo shape field


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

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...

In order to map a geo_shape type, a user must explicitly provide some parameters:

  • tree (by default, geohash): This is the name of the prefix tree implementation called geohash for GeohashPrefixTree and quadtree for QuadPrefixTree.

  • 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, such as 10 m, 10 km, 10 miles, and so on.

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

  • distance_error_pct (the default is 0,025% and the maximum value is 0,5%): This sets the maximum number of errors allowed in PrefixTree.

The customer_location mapping, which we have...

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