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Elastic Docs ›Elasticsearch Guide [1.6] ›Search APIs ›Facets

Geo Distance Facets

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Geo Distance Facets

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Facets are deprecated and will be removed in a future release. You are encouraged to migrate to aggregations instead.

The equivalent aggregation would be the geo_distance aggregation.

The geo_distance facet is a facet providing information for ranges of distances from a provided geo_point including count of the number of hits that fall within each range, and aggregation information (like total).

Assuming the following sample doc:

{
    "pin" : {
        "location" : {
            "lat" : 40.12,
            "lon" : -71.34
        }
    }
}

Here is an example that create a geo_distance facet from a pin.location of 40,-70, and a set of ranges:

{
    "query" : {
        "match_all" : {}
    },
    "facets" : {
        "geo1" : {
            "geo_distance" : {
                "pin.location" : {
                    "lat" : 40,
                    "lon" : -70
                },
                "ranges" : [
                    { "to" : 10 },
                    { "from" : 10, "to" : 20 },
                    { "from" : 20, "to" : 100 },
                    { "from" : 100 }
                ]
            }
        }
    }
}

Accepted Formats

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In much the same way the geo_point type can accept different representation of the geo point, the filter can accept it as well:

Lat Lon As Properties

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{
    "query" : {
        "match_all" : {}
    },
    "facets" : {
        "geo1" : {
            "geo_distance" : {
                "pin.location" : {
                    "lat" : 40,
                    "lon" : -70
                },
                "ranges" : [
                    { "to" : 10 },
                    { "from" : 10, "to" : 20 },
                    { "from" : 20, "to" : 100 },
                    { "from" : 100 }
                ]
            }
        }
    }
}

Lat Lon As Array

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Format in [lon, lat], note, the order of lon/lat here in order to conform with GeoJSON.

{
    "query" : {
        "match_all" : {}
    },
    "facets" : {
        "geo1" : {
            "geo_distance" : {
                "pin.location" : [40, -70],
                "ranges" : [
                    { "to" : 10 },
                    { "from" : 10, "to" : 20 },
                    { "from" : 20, "to" : 100 },
                    { "from" : 100 }
                ]
            }
        }
    }
}

Lat Lon As String

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Format in lat,lon.

{
    "query" : {
        "match_all" : {}
    },
    "facets" : {
        "geo1" : {
            "geo_distance" : {
                "pin.location" : "40, -70",
                "ranges" : [
                    { "to" : 10 },
                    { "from" : 10, "to" : 20 },
                    { "from" : 20, "to" : 100 },
                    { "from" : 100 }
                ]
            }
        }
    }
}

Geohash

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{
    "query" : {
        "match_all" : {}
    },
    "facets" : {
        "geo1" : {
            "geo_distance" : {
                "pin.location" : "drm3btev3e86",
                "ranges" : [
                    { "to" : 10 },
                    { "from" : 10, "to" : 20 },
                    { "from" : 20, "to" : 100 },
                    { "from" : 100 }
                ]
            }
        }
    }
}

Ranges

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When a to or from are not set, they are assumed to be unbounded. Ranges are allowed to overlap, basically, each range is treated by itself.

Options

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Option Description

unit

The unit the ranges are provided in. Defaults to m. Can also be mi, miles, in, inch, yd, yards, ft, feet, kilometers, mm, millimeters, cm, centimeters, m or meters.

distance_type

How to compute the distance. Can either be arc (better precision), sloppy_arc (faster) or plane (fastest). Defaults to sloppy_arc.

Value Options

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On top of the count of hits falling within each range, aggregated data can be provided (total) as well. By default, the aggregated data will simply use the distance calculated, but the value can be extracted either using a different numeric field, or a script. Here is an example of using a different numeric field:

{
    "query" : {
        "match_all" : {}
    },
    "facets" : {
        "geo1" : {
            "geo_distance" : {
                "pin.location" : "drm3btev3e86",
                "value_field" : "num1",
                "ranges" : [
                    { "to" : 10 },
                    { "from" : 10, "to" : 20 },
                    { "from" : 20, "to" : 100 },
                    { "from" : 100 }
                ]
            }
        }
    }
}

And here is an example of using a script:

{
    "query" : {
        "match_all" : {}
    },
    "facets" : {
        "geo1" : {
            "geo_distance" : {
                "pin.location" : "drm3btev3e86",
                "value_script" : "doc['num1'].value * factor",
                "params" : {
                    "factor" : 5
                }
                "ranges" : [
                    { "to" : 10 },
                    { "from" : 10, "to" : 20 },
                    { "from" : 20, "to" : 100 },
                    { "from" : 100 }
                ]
            }
        }
    }
}

Note the params option, allowing to pass parameters to the script (resulting in faster script execution instead of providing the values within the script each time).

geo_point Type

The facet requires the geo_point type to be set on the relevant field.

Multi Location Per Document

The facet can work with multiple locations per document.

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