elasticsearch/docs/reference/query-dsl/geo-shape-query.asciidoc

[[query-dsl-geo-shape-query]]
=== Geo-shape query
++++
<titleabbrev>Geo-shape</titleabbrev>
++++

Filter documents indexed using the `geo_shape` or `geo_point` type.

Requires the <<geo-shape,`geo_shape` Mapping>> or the
<<geo-point,`geo_point` 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

Similar to the `geo_shape` type, the `geo_shape` query uses
http://geojson.org[GeoJSON] to represent shapes.

Given the following index with locations as `geo_shape` fields:

[source,console]
--------------------------------------------------
PUT /example
{
  "mappings": {
    "properties": {
      "location": {
        "type": "geo_shape"
      }
    }
  }
}

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


The following query will find the point using {es}'s `envelope` GeoJSON
extension:

[source,console]
--------------------------------------------------
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"
          }
        }
      }
    }
  }
}
--------------------------------------------------


The above query can, similarly, be queried on `geo_point` fields.

[source,console]
--------------------------------------------------
PUT /example_points
{
  "mappings": {
    "properties": {
      "location": {
        "type": "geo_point"
      }
    }
  }
}

PUT /example_points/_doc/1?refresh
{
  "name": "Wind & Wetter, Berlin, Germany",
  "location": [13.400544, 52.530286]
}
--------------------------------------------------
// TEST[continued]


Using the same query, the documents with matching `geo_point` fields are
returned.

[source,console]
--------------------------------------------------
GET /example_points/_search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "geo_shape": {
          "location": {
            "shape": {
              "type": "envelope",
              "coordinates": [ [ 13.0, 53.0 ], [ 14.0, 52.0 ] ]
            },
            "relation": "intersects"
          }
        }
      }
    }
  }
}
--------------------------------------------------
// TEST[continued]

[source,console-result]
--------------------------------------------------
{
  "took" : 17,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "example_points",
        "_id" : "1",
        "_score" : 1.0,
        "_source" : {
          "name": "Wind & Wetter, Berlin, Germany",
          "location": [13.400544, 52.530286]
        }
      }
    ]
  }
}
--------------------------------------------------
// TESTRESPONSE[s/"took" : 17/"took" : $body.took/]


==== Pre-Indexed Shape

The query also supports using a shape which has already been indexed in another
index. This is particularly useful for when you have a pre-defined list of
shapes and you want to reference the list using
a logical name (for example 'New Zealand') rather than having to provide
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'.
* `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:

[source,console]
--------------------------------------------------
PUT /shapes
{
  "mappings": {
    "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",
              "id": "deu",
              "path": "location"
            }
          }
        }
      }
    }
  }
}
--------------------------------------------------


==== Spatial Relations

The following is a complete list of spatial relation operators available when
searching a geo field:

* `INTERSECTS` - (default) Return all documents whose `geo_shape` or `geo_point` field
intersects the query geometry.
* `DISJOINT` - Return all documents whose `geo_shape` or `geo_point` field has nothing in
common with the query geometry.
* `WITHIN` - Return all documents whose `geo_shape` or `geo_point` field is within the query
geometry. Line geometries are not supported.
* `CONTAINS` - Return all documents whose `geo_shape` or `geo_point` field contains the query
geometry.

[discrete]
==== Ignore Unmapped

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.

[[geo-shape-query-notes]]
==== Notes

* When data is indexed in a `geo_shape` field as an array of shapes, the arrays
  are treated as one shape. For this reason, the following requests are
  equivalent.

[source,console]
--------------------------------------------------
PUT /test/_doc/1
{
  "location": [
    {
      "coordinates": [46.25,20.14],
      "type": "point"
    },
    {
      "coordinates": [47.49,19.04],
      "type": "point"
    }
  ]
}
--------------------------------------------------


[source,console]
--------------------------------------------------
PUT /test/_doc/1
{
  "location":
    {
      "coordinates": [[46.25,20.14],[47.49,19.04]],
      "type": "multipoint"
    }
}
--------------------------------------------------