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Geo-distance query

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

Assume the following documents are indexed:

 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:

 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:

 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:

 GET my_locations,my_geoshapes/_search {
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "200km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

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

 GET /my_locations/_search {
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": {
            "lat": 40,
            "lon": -70
          }
        }
      }
    }
  }
}

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

 GET /my_locations/_search {
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": [ -70, 40 ]
        }
      }
    }
  }
}

Format in Well-Known Text.

 GET /my_locations/_search {
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": "POINT (-70 40)"
        }
      }
    }
  }
}
 GET /my_locations/_search {
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_distance": {
          "distance": "12km",
          "pin.location": "drm3btev3e86"
        }
      }
    }
  }
}

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).

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.

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.