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- Definitions
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- Elasticsearch version 7.10.2
- Elasticsearch version 7.10.1
- Elasticsearch version 7.10.0
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- Elasticsearch version 7.9.1
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- Dependencies and versions
Geo-shape query
editGeo-shape query
editFilter documents indexed using the geo_shape
or geo_point
type.
Requires the geo_shape
Mapping or the
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
editSimilar to the geo_shape
type, the geo_shape
query uses
GeoJSON to represent shapes.
Given the following index with locations as geo_shape
fields:
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 ] } }
The following query will find the point using 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" } } } } } }
The above query can, similarly, be queried on geo_point
fields.
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] }
Using the same query, the documents with matching geo_point
fields are
returned.
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" } } } } } }
{ "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", "_type" : "_doc", "_id" : "1", "_score" : 1.0, "_source" : { "name": "Wind & Wetter, Berlin, Germany", "location": [13.400544, 52.530286] } } ] } }
Pre-Indexed Shape
editThe 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:
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
editThe 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 when
searching a field of type geo_shape
:
-
INTERSECTS
- (default) Return all documents whosegeo_shape
field intersects the query geometry. -
DISJOINT
- Return all documents whosegeo_shape
field has nothing in common with the query geometry. -
WITHIN
- Return all documents whosegeo_shape
field is within the query geometry. -
CONTAINS
- Return all documents whosegeo_shape
field contains the query geometry.
When searching a field of type geo_point
there is a single supported spatial
relation operator:
-
INTERSECTS
- (default) Return all documents whosegeo_point
field intersects the query geometry.
Ignore Unmapped
editWhen 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.
Shape Types supported for Geo-Point
editWhen searching a field of type geo_point
the following shape types are not
supported:
-
POINT
-
LINE
-
MULTIPOINT
-
MULTILINE
Notes
edit-
Geo-shape queries on geo-shapes implemented with
PrefixTrees
will not be executed ifsearch.allow_expensive_queries
is set to false. -
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.
PUT /test/_doc/1 { "location": [ { "coordinates": [46.25,20.14], "type": "point" }, { "coordinates": [47.49,19.04], "type": "point" } ] }
PUT /test/_doc/1 { "location": { "coordinates": [[46.25,20.14],[47.49,19.04]], "type": "multipoint" } }
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