Geoflutterfire_plus allows your flutter apps to query geographic data saved in Cloud Firestore
geoflutterfire_plus 🌍
geoflutterfire_plus allows your flutter apps to query geographic data saved in Cloud Firestore.
This package is fork from GeoFlutterFire, and tried to be constantly maintained to work with latest Flutter SDK, Dart SDK, and other dependency packages.
Prerequisites
Dart: '>=2.17.0 <3.0.0'
Flutter: '>=2.10.0'
Installing
Run this command:
flutter pub add geoflutterfire_plus
Or add dependency to your pubspec.yaml
.
dependencies:
geoflutterfire_plus: <latest-version>
Geo queries
Refer to Firebase official document Geo queries to understand what Geohash is, why you need to save geo location as Geohash, and how to query them. It will also help you understand limitations of using Geohashes for querying locations.
Save geo data
In order to save geo data as documents of Cloud Firestore, use GeoFirePoint
. GeoFirePoint.data
gives geopoint (GeoPoint
type defined in cloud_firestore
package) and Geohash string.
// Define GeoFirePoint instance by giving latitude and longitude.
final GeoFirePoint geoFirePoint = GeoFirePoint(35.681236, 139.767125);
// Get GeoPoint instance and Geohash string as Map<String, dynamic>.
final Map<String, dynamic> data = geoFirePoint.data;
// {geopoint: Instance of 'GeoPoint', geohash: xn76urx66}
print(data);
GeoCollectionReference
instance provides add
method to create a new document in the collection (internally, just calling add
method of cloud_firestore
).
// Add new documents to locations collection.
GeoCollectionReference<Map<String, dynamic>>(
FirebaseFirestore.instance.collection('locations'),
).add(<String, dynamic>{
'geo': geoFirePoint.data,
'name': name,
'isVisible': true,
});
Or, you can just call add
or set
method of cloud_firestore
to save the data. For example,
// Add new documents to locations collection.
FirebaseFirestore.instance.collection('locations').add(
<String, dynamic>{
'geo': data,
'name': 'Tokyo Station',
'isVisible': true,
},
);
The created document would be like the screenshot below. Geohash string (geohash
) and Cloud Firestore GeoPoint data (geopoint
) is saved in geo
field as map type.
In order to set or update the pair of latitude and longitude as cloud_firestore
GeoPoint and Geohash string on the specified document’s given field, GeoCollectionReference.setPoint
is available.
// Set or update geo field on the specified document.
GeoCollectionReference(FirebaseFirestore.instance.collection('locations'))
.setPoint(
id: 'your-document-id',
field: 'geo',
latitude: 35.681236,
longitude: 139.767125,
);
Query geo data
In order to query location documents within a 50km radius of Tokyo station, you will write query like the following:
Basic query
// Center of the geo query.
final GeoFirePoint center = GeoFirePoint(35.681236, 139.767125);
// Detection range from the center point.
const double radiusInKm = 50;
// Field name of Cloud Firestore documents where the geohash is saved.
const String field = 'geo';
// Reference to locations collection.
final CollectionReference<Map<String, dynamic>> collectionReference =
FirebaseFirestore.instance.collection('locations');
// Function to get GeoPoint instance from Cloud Firestore document data.
GeoPoint geopointFrom(Map<String, dynamic> data) =>
(data['geo'] as Map<String, dynamic>)['geopoint'] as GeoPoint;
// Streamed document snapshots of geo query under given conditions.
final Stream<List<DocumentSnapshot<Map<String, dynamic>>>> stream =
GeoCollectionReference<Map<String, dynamic>>(collectionReference).within(
center: center,
radiusInKm: radiusInKm,
field: field,
geopointFrom: geopointFrom,
);
Using withConverter
If you would like to use withConverter
to type-safely write query, first, you need to define its entity class and factory constructors.
/// An entity of Cloud Firestore location document.
class Location {
Location({
required this.geo,
required this.name,
required this.isVisible,
});
factory Location.fromJson(Map<String, dynamic> json) => Location(
geo: Geo.fromJson(json['geo'] as Map<String, dynamic>),
name: json['name'] as String,
isVisible: (json['isVisible'] ?? false) as bool,
);
factory Location.fromDocumentSnapshot(DocumentSnapshot documentSnapshot) =>
Location.fromJson(documentSnapshot.data()! as Map<String, dynamic>);
final Geo geo;
final String name;
final bool isVisible;
Map<String, dynamic> toJson() => <String, dynamic>{
'geo': geo.toJson(),
'name': name,
'isVisible': isVisible,
};
}
/// An entity of `geo` field of Cloud Firestore location document.
class Geo {
Geo({
required this.geohash,
required this.geopoint,
});
factory Geo.fromJson(Map<String, dynamic> json) => Geo(
geohash: json['geohash'] as String,
geopoint: json['geopoint'] as GeoPoint,
);
final String geohash;
final GeoPoint geopoint;
Map<String, dynamic> toJson() => <String, dynamic>{
'geohash': geohash,
'geopoint': geopoint,
};
}
Then, define typed collection reference.
/// Reference to the collection where the location data is stored.
final typedCollectionReference =
FirebaseFirestore.instance.collection('locations').withConverter(
fromFirestore: (ds, _) => Location.fromDocumentSnapshot(ds),
toFirestore: (obj, _) => obj.toJson(),
);
// Function to get GeoPoint instance from Location instance.
GeoPoint geopointFrom: (Location location) => location.geo.geopoint;
You can write query in the same way as the first example.
// Streamed document snapshots of geo query under given conditions.
final Stream<List<DocumentSnapshot<Location>>> stream =
GeoCollectionReference<Location>(typedCollectionReference).within(
center: center,
radiusInKm: radiusInKm,
field: field,
geopointFrom: geopointFrom,
);
Custom query conditions
If you would like to add custom query conditions, queryBuilder
parameter of within
method is available.
For example, when you filter only isVisible
field is true
documents, your queryBuilder
would be like this:
// Custom query condition.
Query<Location> queryBuilder(Query<Location> query) =>
query.where('isVisible', isNotEqualTo: true);
Then, just give the queryBuilder
to the parameter of within
method.
🚨 Note: Custom query condition may require a composite index. If the index is not created, you will see the “[cloud_firestore/failed-precondition] The query requires an index…” error from Firestore on the debug console. You can create the index by clicking the link in the error message.
// Streamed document snapshots of geo query under given conditions.
final Stream<List<DocumentSnapshot<Map<String, dynamic>>>> stream =
GeoCollectionReference<Map<String, dynamic>>(typedCollectionReference).within(
center: center,
radiusInKm: radiusInKm,
field: field,
geopointFrom: geopointFrom,
queryBuilder: queryBuilder,
);