Geo-distance queryedit

Matches geo_point and geo_shape values within a given distance of a geopoint.

Exampleedit

Assume the following documents are indexed:

response = client.indices.create(
  index: 'my_locations',
  body: {
    mappings: {
      properties: {
        pin: {
          properties: {
            location: {
              type: 'geo_point'
            }
          }
        }
      }
    }
  }
)
puts response

response = client.index(
  index: 'my_locations',
  id: 1,
  body: {
    pin: {
      location: {
        lat: 40.12,
        lon: -71.34
      }
    }
  }
)
puts response

response = client.indices.create(
  index: 'my_geoshapes',
  body: {
    mappings: {
      properties: {
        pin: {
          properties: {
            location: {
              type: 'geo_shape'
            }
          }
        }
      }
    }
  }
)
puts response

response = client.index(
  index: 'my_geoshapes',
  id: 1,
  body: {
    pin: {
      location: {
        type: 'polygon',
        coordinates: [
          [
            [
              13,
              51.5
            ],
            [
              15,
              51.5
            ],
            [
              15,
              54
            ],
            [
              13,
              54
            ],
            [
              13,
              51.5
            ]
          ]
        ]
      }
    }
  }
)
puts response
PUT /my_locations
{
  "mappings": {
    "properties": {
      "pin": {
        "properties": {
          "location": {
            "type": "geo_point"
          }
        }
      }
    }
  }
}

PUT /my_locations/_doc/1
{
  "pin": {
    "location": {
      "lat": 40.12,
      "lon": -71.34
    }
  }
}

PUT /my_geoshapes
{
  "mappings": {
    "properties": {
      "pin": {
        "properties": {
          "location": {
            "type": "geo_shape"
          }
        }
      }
    }
  }
}

PUT /my_geoshapes/_doc/1
{
  "pin": {
    "location": {
      "type" : "polygon",
      "coordinates" : [[[13.0 ,51.5], [15.0, 51.5], [15.0, 54.0], [13.0, 54.0], [13.0 ,51.5]]]
    }
  }
}

Use a geo_distance filter to match geo_point values within a specified distance of another geopoint:

response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '200km',
            'pin.location' => {
              lat: 40,
              lon: -70
            }
          }
        }
      }
    }
  }
)
puts response
GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "200km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

Use the same filter to match geo_shape values within the given distance:

response = client.search(
  index: 'my_geoshapes',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '200km',
            'pin.location' => {
              lat: 40,
              lon: -70
            }
          }
        }
      }
    }
  }
)
puts response
GET my_geoshapes/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "200km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

To match both geo_point and geo_shape values, search both indices:

response = client.search(
  index: 'my_locations,my_geoshapes',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '200km',
            'pin.location' => {
              lat: 40,
              lon: -70
            }
          }
        }
      }
    }
  }
)
puts response
GET my_locations,my_geoshapes/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "200km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

Accepted formatsedit

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

Lat lon as propertiesedit
response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '12km',
            'pin.location' => {
              lat: 40,
              lon: -70
            }
          }
        }
      }
    }
  }
)
puts response
GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}
Lat lon as arrayedit

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

response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '12km',
            'pin.location' => [
              -70,
              40
            ]
          }
        }
      }
    }
  }
)
puts response
GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": [ -70, 40 ]
        }
      }
    }
  }
}
Lat lon as WKT stringedit

Format in Well-Known Text.

response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '12km',
            'pin.location' => 'POINT (-70 40)'
          }
        }
      }
    }
  }
)
puts response
GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": "POINT (-70 40)"
        }
      }
    }
  }
}
Geohashedit
response = client.search(
  index: 'my_locations',
  body: {
    query: {
      bool: {
        must: {
          match_all: {}
        },
        filter: {
          geo_distance: {
            distance: '12km',
            'pin.location' => 'drm3btev3e86'
          }
        }
      }
    }
  }
)
puts response
GET /my_locations/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": "drm3btev3e86"
        }
      }
    }
  }
}

Optionsedit

The following are options allowed on the filter:

distance

The radius of the circle centred on the specified location. Points which fall into this circle are considered to be matches. The distance can be specified in various units. See Distance Units.

distance_type

How to compute the distance. Can either be arc (default), or plane (faster, but inaccurate on long distances and close to the poles).

_name

Optional name field to identify the query

validation_method

Set to IGNORE_MALFORMED to accept geo points with invalid latitude or longitude, set to COERCE to additionally try and infer correct coordinates (default is STRICT).

Multi location per documentedit

The geo_distance filter can work with multiple locations / points per document. Once a single location / point matches the filter, the document will be included in the filter.

Ignore unmappededit

When set to true the ignore_unmapped option will ignore an unmapped field and will not match any documents for this query. This can be useful when querying multiple indexes which might have different mappings. When set to false (the default value) the query will throw an exception if the field is not mapped.