Deprecated in 7.12.
Use Geoshape instead where polygons are defined in GeoJSON or Well-Known Text (WKT).
A query returning hits that only fall within a polygon of points. Here is an example:
resp = client.search( query={ "bool": { "must": { "match_all": {} }, "filter": { "geo_polygon": { "person.location": { "points": [ { "lat": 40, "lon": -70 }, { "lat": 30, "lon": -80 }, { "lat": 20, "lon": -90 } ] } } } } }, ) print(resp)
const response = await client.search({ query: { bool: { must: { match_all: {}, }, filter: { geo_polygon: { "person.location": { points: [ { lat: 40, lon: -70, }, { lat: 30, lon: -80, }, { lat: 20, lon: -90, }, ], }, }, }, }, }, }); console.log(response);
GET /_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_polygon": { "person.location": { "points": [ { "lat": 40, "lon": -70 }, { "lat": 30, "lon": -80 }, { "lat": 20, "lon": -90 } ] } } } } } }
Option | Description |
---|---|
|
Optional name field to identify the filter |
|
Set to |
Format as [lon, lat]
Note: the order of lon/lat here must conform with GeoJSON.
resp = client.search( query={ "bool": { "must": { "match_all": {} }, "filter": { "geo_polygon": { "person.location": { "points": [ [ -70, 40 ], [ -80, 30 ], [ -90, 20 ] ] } } } } }, ) print(resp)
const response = await client.search({ query: { bool: { must: { match_all: {}, }, filter: { geo_polygon: { "person.location": { points: [ [-70, 40], [-80, 30], [-90, 20], ], }, }, }, }, }, }); console.log(response);
GET /_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_polygon": { "person.location": { "points": [ [ -70, 40 ], [ -80, 30 ], [ -90, 20 ] ] } } } } } }
Format in lat,lon
.
resp = client.search( query={ "bool": { "must": { "match_all": {} }, "filter": { "geo_polygon": { "person.location": { "points": [ "40, -70", "30, -80", "20, -90" ] } } } } }, ) print(resp)
const response = await client.search({ query: { bool: { must: { match_all: {}, }, filter: { geo_polygon: { "person.location": { points: ["40, -70", "30, -80", "20, -90"], }, }, }, }, }, }); console.log(response);
GET /_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_polygon": { "person.location": { "points": [ "40, -70", "30, -80", "20, -90" ] } } } } } }
resp = client.search( query={ "bool": { "must": { "match_all": {} }, "filter": { "geo_polygon": { "person.location": { "points": [ "drn5x1g8cu2y", "30, -80", "20, -90" ] } } } } }, ) print(resp)
const response = await client.search({ query: { bool: { must: { match_all: {}, }, filter: { geo_polygon: { "person.location": { points: ["drn5x1g8cu2y", "30, -80", "20, -90"], }, }, }, }, }, }); console.log(response);
GET /_search { "query": { "bool": { "must": { "match_all": {} }, "filter": { "geo_polygon": { "person.location": { "points": [ "drn5x1g8cu2y", "30, -80", "20, -90" ] } } } } } }
The query requires the geo_point
type to be set on the
relevant field.
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.