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- Elasticsearch version 7.2.1
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Geo-bounding box query
editGeo-bounding box query
editA query allowing to filter hits based on a point location using a bounding box. Assuming the following indexed document:
PUT /my_locations { "mappings": { "properties": { "pin": { "properties": { "location": { "type": "geo_point" } } } } } } PUT /my_locations/_doc/1 { "pin" : { "location" : { "lat" : 40.12, "lon" : -71.34 } } }
Then the following simple query can be executed with a
geo_bounding_box
filter:
GET /_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 |
|
Set to one of |
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
editGET /_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.
GET /_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
.
GET /_search { "query": { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_bounding_box" : { "pin.location" : { "top_left" : "40.73, -74.1", "bottom_right" : "40.01, -71.12" } } } } } }
Bounding Box as Well-Known Text (WKT)
editGET /_search { "query": { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_bounding_box" : { "pin.location" : { "wkt" : "BBOX (-74.1, -71.12, 40.73, 40.01)" } } } } } }
Geohash
editGET /_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:
GET /_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. More
over the names topLeft
, bottomRight
, topRight
and bottomLeft
are supported. Instead of setting the values pairwise, one can use
the simple names top
, left
, bottom
and right
to set the
values separately.
GET /_search { "query": { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_bounding_box" : { "pin.location" : { "top" : 40.73, "left" : -74.1, "bottom" : 40.01, "right" : -71.12 } } } } } }
geo_point Type
editThe filter requires the geo_point
type to be set on the relevant
field.
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
Type
editThe type of the bounding box execution by default is set to memory
,
which means in memory checks if the doc falls within the bounding box
range. In some cases, an indexed
option will perform faster (but note
that the geo_point
type must have lat and lon indexed in this case).
Note, when using the indexed option, multi locations per document field
are not supported. Here is an example:
GET /_search { "query": { "bool" : { "must" : { "match_all" : {} }, "filter" : { "geo_bounding_box" : { "pin.location" : { "top_left" : { "lat" : 40.73, "lon" : -74.1 }, "bottom_right" : { "lat" : 40.10, "lon" : -71.12 } }, "type" : "indexed" } } } } }
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.
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