Geo JSON Fields
With GeoFields, developers are able to filter records based on geo-coordinates. This opens up a ton of possibilities for map and location based applications. For example, apartment listing services, dating apps, delivery apps, and more.
Location Based Filtering and Queries
The current implementation of geo filtering querying and works with Point type geo fields defined on 8base tables (i.e. [longitude, latitude]
). There are number of different geo-coordinate based predicates that can get used to query specific records. That list includes the following:
- equals: GeoJSONCoordinates
- not_equals: GeoJSONCoordinates
- within: GeometryInput
- not_within: GeometryInput
- touches: GeometryInput
- not_touches: GeometryInput
- inside_bounds: GeometryBoundsInput
- not_inside_bounds: GeometryBoundsInput
- distance: GeometryDistanceFilterInput
Descriptions of these different types are as follows:
GeoJSONCoordinates
A (multidimensional) set of coordinates following x, y, z order.
query($latitude: Float, $longitude: Float){
tableNameList(filter: {
location: {
# Equals predicate would filter for all records with an identical location lat/lon location.
equals: [$longitude, $latitude]
# Not_Equals predicate would filter out all records with an identical location lat/lon location.
not_equals: [$longitude, $latitude]
}
}) {
count
items {
...
}
}
}
GeometryInput
Object describing a single geographical Geometry input. It is comprised of a GeoJSONType and a GeoJsonCoordinates. Supported types include Point
, MultiPoint
, LineString
, MultiLineString
, Polygon
, MultiPolygon
, GeometryCollection
, Feature
, FeatureCollection
.
query($type: String, $coordinates: GeoJSONCoordinates){
tableNameList(filter: {
location: {
# Within predicate would filter for all records that fall "within" specified boundary
within: {
type: $type
coordinates: $coordinates
}
# Not_Within predicate would filter out all records that fall "within" specified boundary
not_within: {
type: $type
coordinates: $coordinates
}
# Touches predicate would filter for all records that fall on a specified boundary
touches: {
type: $type
coordinates: $coordinates
}
# Touches predicate would filter out all records that fall on a specified boundary
not_touches: {
type: $type
coordinates: $coordinates
}
}
}) {
count
items { ... }
}
}
GeometryBoundsInput
Object describing a single geographical GeometryBounds input.
query($sw: GeoJSONCoordinates, $ne: GeoJSONCoordinates){
tableNameList(filter: {
location: {
# Inside_Bounds predicate would filter for all records that fall "within" south west / north east bounds.
inside_bounds: {
southWest: $sw
northEast: $ne
}
# Not_Inside_Bounds predicate would filter for all records that fall "within" south west / north east bounds.
not_inside_bounds: {
southWest: $sw
northEast: $ne
}
}
}) {
count
items { ... }
}
}
GeometeryDistanceFilterInput
Object describing a single geographical Geometry distance filter input. The FloatPredicate determines how the distance operation will handle inclusion (i.e. less than, greater than, equals, etc.), while the unit is a string and can be either meters
, km
, or miles
.
query($fromPoint: GeometryInput!, $floatPredicate: FloatPredicate!, $unit: DistanceUnitType){
tableNameList(filter: {
location: {
# Distance predicate would filtering for records by distance from a supplied Point.
distance: {
unit: $unit
from: $fromPoint
value: $floatPredicate
}
}
}) {
count
items { ... }
}
}
ExtraField distance calculations
While it’s important to be able to filter records based on locations and geographic bounds, sometimes it’s the calculated result that’s needed - regardless of whether a filter is used. With the introduction of extraFields to the API, developers are now able to specify calculated results that get returned in the API response.
Returning Distance from a Point
Using extraFields
to calculate and return a records location from a supplied latitude and longitude point.
Query
query ($latlong: GeoJSONCoordinates) {
tableNameList(
extraFields: {
location: {
as: "distance"
fn: {
distance: {
from: { type: Point, coordinates: $latlong }
unit: meters
}
}
}
}
) {
items {
id
createdAt
updatedAt
_extraFields {
distance: Float
}
}
}
}
Response
{
"data": {
"playlistsList": {
"items": [
{
"id": "ckebqz1j4007v07l82c1fgp74",
"_extraFields": {
"distance": 1.23442
}
},
{
"id": "ckebqz1j4007v07l937t93d9g",
"_extraFields": {
"distance": 9.431445
}
}
]
}
}
}
Using ExtraFields when Geo Filtering
Often a developer will want to both filter records based on a geo-coordinate while also returning the calculated value (i.e.) distance. In such cases, the extraFields
generated can also be used in the filter.
Query
query ($latlong: GeoJSONCoordinates!) {
playlistsList(
filter: { _extraField: { alias: "distance", float: { lt: 5 } } }
extraFields: {
location: {
as: "distance"
fn: {
distance: {
from: { type: Point, coordinates: $latlong }
unit: meters
}
}
}
}
) {
items {
id
_extraFields {
distance: Float
}
}
}
}
Response
{
"data": {
"playlistsList": {
"items": [
{
"id": "ckebqz1j4007v07l82c1fgp74",
"_extraFields": {
"distance": 1.23442
}
}
]
}
}
}