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Elastic Docs ›Elasticsearch Guide [6.6] ›Query DSL ›Geo queries

GeoShape Query

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GeoShape Query

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Filter documents indexed using the geo_shape type.

Requires the geo_shape Mapping.

The geo_shape query uses the same grid square representation as the geo_shape mapping to find documents that have a shape that intersects with the query shape. It will also use the same Prefix Tree configuration as defined for the field mapping.

The query supports two ways of defining the query shape, either by providing a whole shape definition, or by referencing the name of a shape pre-indexed in another index. Both formats are defined below with examples.

Inline Shape Definition

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Similar to the geo_shape type, the geo_shape query uses GeoJSON to represent shapes.

Given the following index:

PUT /example
{
    "mappings": {
        "_doc": {
            "properties": {
                "location": {
                    "type": "geo_shape"
                }
            }
        }
    }
}

POST /example/_doc?refresh
{
    "name": "Wind & Wetter, Berlin, Germany",
    "location": {
        "type": "point",
        "coordinates": [13.400544, 52.530286]
    }
}

The following query will find the point using the Elasticsearch’s envelope GeoJSON extension:

GET /example/_search
{
    "query":{
        "bool": {
            "must": {
                "match_all": {}
            },
            "filter": {
                "geo_shape": {
                    "location": {
                        "shape": {
                            "type": "envelope",
                            "coordinates" : [[13.0, 53.0], [14.0, 52.0]]
                        },
                        "relation": "within"
                    }
                }
            }
        }
    }
}

Pre-Indexed Shape

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The Query also supports using a shape which has already been indexed in another index and/or index type. This is particularly useful for when you have a pre-defined list of shapes which are useful to your application and you want to reference this using a logical name (for example New Zealand) rather than having to provide their coordinates each time. In this situation it is only necessary to provide:

  • id - The ID of the document that containing the pre-indexed shape.
  • index - Name of the index where the pre-indexed shape is. Defaults to shapes.
  • type - Index type where the pre-indexed shape is.
  • path - The field specified as path containing the pre-indexed shape. Defaults to shape.
  • routing - The routing of the shape document if required.

The following is an example of using the Filter with a pre-indexed shape:

PUT /shapes
{
    "mappings": {
        "_doc": {
            "properties": {
                "location": {
                    "type": "geo_shape"
                }
            }
        }
    }
}

PUT /shapes/_doc/deu
{
    "location": {
        "type": "envelope",
        "coordinates" : [[13.0, 53.0], [14.0, 52.0]]
    }
}

GET /example/_search
{
    "query": {
        "bool": {
            "filter": {
                "geo_shape": {
                    "location": {
                        "indexed_shape": {
                            "index": "shapes",
                            "type": "_doc",
                            "id": "deu",
                            "path": "location"
                        }
                    }
                }
            }
        }
    }
}

Spatial Relations

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The geo_shape strategy mapping parameter determines which spatial relation operators may be used at search time.

The following is a complete list of spatial relation operators available:

  • INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry.
  • DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry.
  • WITHIN - Return all documents whose geo_shape field is within the query geometry.
  • CONTAINS - Return all documents whose geo_shape field contains the query geometry. Note: this is only supported using the recursive Prefix Tree Strategy [6.6] Deprecated in 6.6.

Ignore Unmapped

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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.

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