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March 23, 2025
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A GeoJSON Point Query against any GeoJSON type.

Couchbase Server 7.1.2

QueryShape for a Point Query

A GeoJSON query via a GeoShape of Point to find GeoJSON types in a Search index using the 3 relations intersects, contains, and within.

Point Intersects Query

A point intersection query sample is given below.

json
{ "query": { "field": "<<fieldName>>", "geometry": { "shape": { "type": "point", "coordinates": [1.954764, 50.962097] }, "relation": "intersects" } } }

Intersection rules for the Point Query with other indexed GeoJSON shapes in the document set are given below.

Intersects (relation)
Document Shape

 
Point (GeoShape)

Point

Matches when the query point overlaps the point in the document (as point is a non-closed shapes).

LineString

Matches when the query point overlaps any of the line endpoints in the document (as linestring is a non-closed shapes).

Polygon

Matches when the query point lies within the area of the polygon.

MultiPoint

Matches when the query point overlaps with any of the many points in the multipoint array in the document.

MultiLineString

Matches when the query point overlaps with any of the linestring endpoints in the multilinestring array in the document.

MultiPolygon

Matches when the query point lies within the area of any of the polygons in the multipolygon array in the document.

GeometryCollection

Matches when the query point overlaps with any of the heterogeneous (above 6) shapes in the geometrycollection array in the document.

Circle

Matches when the query point lies within the area of the circular region in the document.

Envelope

Matches when the query point lies within the area of the rectangular/bounded box region in the document.

Point Contains Query

As the point is a non-closed/single spot there is no difference between intersects and contains query for this GeoShape. The guiding rules for the contains relation are exactly similar to that intersects.

A point contains query sample is given below.

json
{ "query": { "field": "<<fieldName>>", "geometry": { "shape": { "type": "point", "coordinates": [1.954764, 50.962097] }, "relation": "contains" } } }

Point WithIn Query

As the point is a non-closed shape, it is not possible for it to contain any larger shapes other than just the point itself.

A point contains query sample is given below.

json
{ "query": { "field": " << fieldName >> ", "geometry": { "shape": { "type": "point", "coordinates": [1.954764, 50.962097] }, "relation": "within" } } }

WithIn rules for the Point Query with other indexed GeoJSON shapes in the document set are given below.

WithIn (relation)
Document Shape

 
Point (GeoShape)

Point (document shape)

Matches when the query point is exactly the same point in the document.

Example Point Query (against Points)

It is assumed that you your cluster has 1) a modified travel-sample with GeoJSON data and 2) a Search index as per Creating a GeoJSON Index via the REST API prior to running this example.

Matches when the query point overlaps the point in the document (as point is a non-closed shapes).

The results are specified to be sorted on name. Note type hotel and landmark have a name field and type airport has an airportname field all these values are analyzed as a keyword (exposed as name).

command
curl -s -XPOST -H "Content-Type: application/json" \ -u ${CB_USERNAME}:${CB_PASSWORD} http://${CB_HOSTNAME}:8094/api/index/test_geojson/query \ -d '{ "fields": ["name"], "query": { "field": "geojson", "geometry": { "shape": { "type": "point", "coordinates": [1.954764, 50.962097] }, "relation": "contains" } }, "sort": ["name"] }' | jq .

The output of one (1) hit (from a total of 1 matching docs) is as follows

json
{ "status": { "total": 1, "failed": 0, "successful": 1 }, "request": { "query": { "geometry": { "shape": { "type": "point", "coordinates": [ 1.954764, 50.962097 ] }, "relation": "contains" }, "field": "geojson" }, "size": 10, "from": 0, "highlight": null, "fields": [ "name" ], "facets": null, "explain": false, "sort": [ "name" ], "includeLocations": false, "search_after": null, "search_before": null }, "hits": [ { "index": "test_geojson_3397081757afba65_4c1c5584", "id": "airport_1254", "score": 9.234442801897503, "sort": [ "Calais Dunkerque" ], "fields": { "name": "Calais Dunkerque" } } ], "total_hits": 1, "max_score": 9.234442801897503, "took": 10557459, "facets": null }

Example Point Query (against Circles)

It is assumed that you your cluster has 1) a modified travel-sample with GeoJSON data and 2) a Search index as per Creating a GeoJSON Index via the REST API prior to running this example.

Matches when the query point lies within the area of the circular region in the document.

The results are specified to be sorted on name. Note type hotel and landmark have a name field and type airport has an airportname field all these values are analyzed as a keyword (exposed as name).

command
curl -s -XPOST -H "Content-Type: application/json" \ -u ${CB_USERNAME}:${CB_PASSWORD} http://${CB_HOSTNAME}:8094/api/index/test_geojson/query \ -d '{ "fields": ["name"], "query": { "field": "geoarea", "geometry": { "shape": { "type": "point", "coordinates": [1.954764, 50.962097] }, "relation": "intersects" } }, "sort": ["name"] }' | jq .

The output of one (1) hit (from a total of 1 matching docs) is as follows

json
{ "status": { "total": 1, "failed": 0, "successful": 1 }, "request": { "query": { "geometry": { "shape": { "type": "point", "coordinates": [ 1.954764, 50.962097 ] }, "relation": "intersects" }, "field": "geoarea" }, "size": 10, "from": 0, "highlight": null, "fields": [ "name" ], "facets": null, "explain": false, "sort": [ "name" ], "includeLocations": false, "search_after": null, "search_before": null }, "hits": [ { "index": "test_geojson_3397081757afba65_4c1c5584", "id": "airport_1254", "score": 1.2793982619305806, "sort": [ "Calais Dunkerque" ], "fields": { "name": "Calais Dunkerque" } } ], "total_hits": 1, "max_score": 1.2793982619305806, "took": 6334489, "facets": null }