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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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Executing geo distance facets


Other than standard types that we have seen in the previous facets, ElasticSearch allows executing facets against a GeoPoint: the geo distance facets. This is an evolution of the previously discussed range facets built to work on geo locations.

Getting ready

You need a working ElasticSearch cluster and an index populated with the script available in online code.

How to do it...

For executing geo distance facets, we will perform the steps given as follows:

  1. Using the position field available in documents, we want to aggregate the other documents in four ranges:

    • Less then 10 kilometers

    • From 10 kilometers to 20

    • From 20 kilometers to 50

    • From 50 kilometers to 100

    • Above 100 kilometers

  2. To achieve these goals, we create a geo distance facet with a code similar to this one:

    curl -XGET 'http://127.0.0.1:9200/test-index/test-type/_search?pretty=true&size=0' -d ' {
        "query" : {
            "match_all" : {}
        },
        "facets" : {
            "position" : {
                "geo_distance"...
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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