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- Elasticsearch version 8.10.4
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- Dependencies and versions
Geo-bounding box query
editGeo-bounding box query
editMatches geo_point
and geo_shape
values that
intersect a bounding box.
Example
editAssume 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_bounding_box
filter to match geo_point
values that intersect a bounding
box. To define the box, provide geopoint values for two opposite corners.
response = client.search( index: 'my_locations', body: { query: { bool: { must: { match_all: {} }, filter: { geo_bounding_box: { "pin.location": { top_left: { lat: 40.73, lon: -74.1 }, bottom_right: { lat: 40.01, lon: -71.12 } } } } } } } ) puts response
GET my_locations/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "top_left": { "lat": 40.73, "lon": -74.1 }, "bottom_right": { "lat": 40.01, "lon": -71.12 } } } } } } }
Use the same filter to match geo_shape
values that intersect the bounding box:
response = client.search( index: 'my_geoshapes', body: { query: { bool: { must: { match_all: {} }, filter: { geo_bounding_box: { "pin.location": { top_left: { lat: 40.73, lon: -74.1 }, bottom_right: { lat: 40.01, lon: -71.12 } } } } } } } ) puts response
GET my_geoshapes/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "top_left": { "lat": 40.73, "lon": -74.1 }, "bottom_right": { "lat": 40.01, "lon": -71.12 } } } } } } }
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_bounding_box: { "pin.location": { top_left: { lat: 40.73, lon: -74.1 }, bottom_right: { lat: 40.01, lon: -71.12 } } } } } } } ) puts response
GET my_locations,my_geoshapes/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "top_left": { "lat": 40.73, "lon": -74.1 }, "bottom_right": { "lat": 40.01, "lon": -71.12 } } } } } } }
Query options
editOption | Description |
---|---|
|
Optional name field to identify the filter |
|
Set to |
Accepted formats
editIn 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 properties
editresponse = client.search( index: 'my_locations', body: { query: { bool: { must: { match_all: {} }, filter: { geo_bounding_box: { "pin.location": { top_left: { lat: 40.73, lon: -74.1 }, bottom_right: { lat: 40.01, lon: -71.12 } } } } } } } ) puts response
GET my_locations/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "top_left": { "lat": 40.73, "lon": -74.1 }, "bottom_right": { "lat": 40.01, "lon": -71.12 } } } } } } }
Lat lon as array
editFormat 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_bounding_box: { "pin.location": { top_left: [ -74.1, 40.73 ], bottom_right: [ -71.12, 40.01 ] } } } } } } ) puts response
GET my_locations/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "top_left": [ -74.1, 40.73 ], "bottom_right": [ -71.12, 40.01 ] } } } } } }
Lat lon as string
editFormat in lat,lon
.
response = client.search( index: 'my_locations', body: { query: { bool: { must: { match_all: {} }, filter: { geo_bounding_box: { "pin.location": { top_left: 'POINT (-74.1 40.73)', bottom_right: 'POINT (-71.12 40.01)' } } } } } } ) puts response
GET my_locations/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "top_left": "POINT (-74.1 40.73)", "bottom_right": "POINT (-71.12 40.01)" } } } } } }
Bounding box as well-known text (WKT)
editresponse = client.search( index: 'my_locations', body: { query: { bool: { must: { match_all: {} }, filter: { geo_bounding_box: { "pin.location": { wkt: 'BBOX (-74.1, -71.12, 40.73, 40.01)' } } } } } } ) puts response
GET my_locations/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "wkt": "BBOX (-74.1, -71.12, 40.73, 40.01)" } } } } } }
Geohash
editresponse = client.search( index: 'my_locations', body: { query: { bool: { must: { match_all: {} }, filter: { geo_bounding_box: { "pin.location": { top_left: 'dr5r9ydj2y73', bottom_right: 'drj7teegpus6' } } } } } } ) puts response
GET my_locations/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "top_left": "dr5r9ydj2y73", "bottom_right": "drj7teegpus6" } } } } } }
When geohashes are used to specify the bounding the edges of the
bounding box, the geohashes are treated as rectangles. The bounding
box is defined in such a way that its top left corresponds to the top
left corner of the geohash specified in the top_left
parameter and
its bottom right is defined as the bottom right of the geohash
specified in the bottom_right
parameter.
In order to specify a bounding box that would match entire area of a
geohash the geohash can be specified in both top_left
and
bottom_right
parameters:
response = client.search( index: 'my_locations', body: { query: { geo_bounding_box: { "pin.location": { top_left: 'dr', bottom_right: 'dr' } } } } ) puts response
GET my_locations/_search { "query": { "geo_bounding_box": { "pin.location": { "top_left": "dr", "bottom_right": "dr" } } } }
In this example, the geohash dr
will produce the bounding box
query with the top left corner at 45.0,-78.75
and the bottom right
corner at 39.375,-67.5
.
Vertices
editThe vertices of the bounding box can either be set by top_left
and
bottom_right
or by top_right
and bottom_left
parameters. Instead of
setting the values pairwise, one can use the simple names top
, left
,
bottom
and right
to set the values separately.
response = client.search( index: 'my_locations', body: { query: { bool: { must: { match_all: {} }, filter: { geo_bounding_box: { "pin.location": { top: 40.73, left: -74.1, bottom: 40.01, right: -71.12 } } } } } } ) puts response
GET my_locations/_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_bounding_box": { "pin.location": { "top": 40.73, "left": -74.1, "bottom": 40.01, "right": -71.12 } } } } } }
Multi location per document
editThe 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 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.
Notes on precision
editGeopoints have limited precision and are always rounded down during index time. During the query time, upper boundaries of the bounding boxes are rounded down, while lower boundaries are rounded up. As a result, the points along on the lower bounds (bottom and left edges of the bounding box) might not make it into the bounding box due to the rounding error. At the same time points alongside the upper bounds (top and right edges) might be selected by the query even if they are located slightly outside the edge. The rounding error should be less than 4.20e-8 degrees on the latitude and less than 8.39e-8 degrees on the longitude, which translates to less than 1cm error even at the equator.
Geoshapes also have limited precision due to rounding. Geoshape edges along the
bounding box’s bottom and left edges may not match a geo_bounding_box
query.
Geoshape edges slightly outside the box’s top and right edges may still match
the query.
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