Orientação gerada a partir de informações públicas. Apenas para referência.
GeoFlutterFire2 é um pacote de código aberto para Flutter que permite aos desenvolvedores armazenar e consultar documentos do Firestore usando dados de localização geográfica. Ele expande o Firebase Firestore com capacidades geoespaciais, permitindo consultas baseadas em localização eficientes, como encontrar pontos de interesse próximos. Projetado para uso multiplataforma, oferece suporte a Android, iOS, Web, macOS e Windows, tornando-se ideal para aplicativos que exigem serviços de localização em tempo real. A biblioteca se integra perfeitamente a projetos Firebase existentes e simplifica o trabalho com geolocalização em aplicações Flutter.
Casos de uso
Localizar usuários ou locais próximos
Notificações baseadas em localização em tempo real
Geofencing em aplicativos móveis
Recursos de busca com base na localização
Mapeamento e visualização de dados espaciais
Principais recursos
Consultas geoespaciais com Firestore
Suporte multiplataforma
Integração fácil com o Firebase
Suporta filtragem baseada em distância
Leve e eficiente
Indicado para
Desenvolvimento de aplicativos baseados em localização
Aplicativos com mapas alimentados pelo Firebase
Serviços de geolocalização em tempo real
Aplicações móveis e web com dados espaciais
Desenvolvedores usando Flutter e Firestore
Considerações
Requer configuração do Firebase Firestore
Limitado aos recursos geoespaciais do Firestore
Pode exigir manipulação adicional para grandes conjuntos de dados
Depende dos SDKs subjacentes do Firebase
Não adequado para geolocalização somente offline
README original
Snapshot do README original do repositório-fonte vinculado. Consulte o repositório para o conteúdo mais recente.
GeoFlutterFire2 :earth_africa:
NB! GeoFlutterFire2 is the revisited & updated version of GeoFlutterFire
GeoFlutterFire is an open-source library that allows you to store and query a set of keys based on their geographic location. At its heart, GeoFlutterFire simply stores locations with string keys. Its main benefit, however, is the possibility of retrieving only those keys within a given geographic area - all in realtime.
GeoFlutterFire uses the Firebase Firestore Database for data storage, allowing query results to be updated in realtime as they change. GeoFlutterFire selectively loads only the data near certain locations, keeping your applications light and responsive, even with extremely large datasets.
GeoFlutterFire is designed as a lightweight add-on to cloud_firestore plugin. To keep things simple, GeoFlutterFire stores data in its own format within your Firestore database. This allows your existing data format and Security Rules to remain unchanged while still providing you with an easy solution for geo queries.
Calling geoFirePoint.data returns an object that contains a geohash string and a Firestore GeoPoint. It should look like this in your database. You can name the object whatever you want and even save multiple points on a single document.
Query Geo data
Warning
Querying locations creates 9 separated stream listeners on firestore. One for central geo hash and 8 surrounding it.
within function creates a convenient broadcast stream, if you need more than one subscriber for the locations. But it also causes
memory leak, because underlying stream listeners are not cancelled when you cancel StreamSubscription from within method.
It's much safer to use withinAsSingleStreamSubscription which you can cancel, and it will also cancel 9 underlying streams as well.
To query a collection of documents with 50kms from a point
// Create a geoFirePointGeoFirePoint center = geo.point(latitude: 12.960632, longitude: 77.641603);
// get the collection reference or queryvar collectionReference = _firestore.collection('locations');
double radius = 50;
String field = 'position';
Stream<List<DocumentSnapshot>> stream = geo.collection(collectionRef: collectionReference)
.within(center: center, radius: radius, field: field);
The within function returns a Stream of the list of DocumentSnapshot data, plus some useful metadata like distance from the centerpoint.
You now have a realtime stream of data to visualize on a map.
:notebook: API
collection(collectionRef: CollectionReference)
Creates a GeoCollectionRef which can be used to make geo queries, alternatively can also be used to write data just like firestore's add / set functionality.
Example:
// Collection ref// var collectionReference = _firestore.collection('locations').where('city', isEqualTo: 'bangalore');var collectionReference = _firestore.collection('locations');
var geoRef = geo.collection(collectionRef: collectionReference);
Note: collectionReference can be of type CollectionReference or Query
Query the parent Firestore collection by geographic distance. It will return documents that exist within X kilometers of the center-point.
field supports nested objects in the firestore document.
Note: Use optional parameter strictMode = true to filter the documents strictly within the bound of given radius.
Example:
// For GeoFirePoint stored at the root of the firestore document
geoRef.within(center: centerGeoPoint, radius: 50, field: 'position', strictMode: true);
// For GeoFirePoint nested in other objects of the firestore document
geoRef.within(center: centerGeoPoint, radius: 50, field: 'address.location.position', strictMode: true);
Each documentSnapshot.data() also contains distance calculated on the query.
Returns:Stream<List<DocumentSnapshot>>
Write Data
Write data just like you would in Firestore
geoRef.add(data)
Or use one of the client's conveniece methods
geoRef.setDoc(String id, var data, {bool merge}) - Set a document in the collection with an ID.
geoRef.setPoint(String id, String field, double latitude, double longitude)- Add a geohash to an existing doc
Read Data
In addition to Geo-Queries, you can also read the collection like you would normally in Firestore, but as an Observable
geoRef.data()- Stream of documentSnapshot
geoRef.snapshot()- Stream of Firestore QuerySnapshot
point(latitude: double, longitude: double)
Returns a GeoFirePoint allowing you to create geohashes, format data, and calculate relative distance.
Example: var point = geo.point(38, -119)
Getters
point.hash Returns a geohash string at precision 9
point.geoPoint Returns a Firestore GeoPoint
point.data Returns data object suitable for saving to the Firestore database
Geo Calculations
point.distance(latitude, longitude) Haversine distance to a point
:zap: Tips
Scale to Massive Collections
It's possible to build Firestore collections with billions of documents. One of the main motivations of this project was to make geoqueries possible on a queried subset of data. You can pass a Query instead of a CollectionReference into the collection(), then all geoqueries will be scoped with the constraints of that query.
Note: This query requires a composite index, which you will be prompted to create with an error from Firestore on the first request.
Example:
var queryRef = _firestore.collection('locations').where('city', isEqualTo: 'bangalore');
var stream = geo
.collection(collectionRef: queryRef)
.within(center: center, radius: rad, field: 'position');
Usage of strictMode
It's advisable to use strictMode = false for smaller radius to make use of documents from neighbouring hashes as well.
As the radius increases to a large number, the neighbouring hash precisions fetch documents which would be considerably far from the radius bounds, hence its advisable to use strictMode = true for larger radius.
Note: filtering for strictMode happens on client side, hence filtering at larger radius is at the expense of making unnecessary document reads.
Make Dynamic Queries the RxDart Way
var radius = BehaviorSubject<double>.seeded(1.0);
var collectionReference = _firestore.collection('locations');
stream = radius.switchMap((rad) {
return geo
.collection(collectionRef: collectionReference)
.within(center: center, radius: rad, field: 'position');
});
// Now update your query
radius.add(25);
Limitations
range queries on multiple fields is not suppoerted by cloud_firestore at the moment, since this library already uses range query on geohash field, you cannot perform range queries with GeoFireCollectionRef.
limit() and orderBy() are not supported at the moment. limit() could be used to limit docs inside each hash individually which would result in running limit on all 9 hashes inside the specified radius. orderBy() is first run on geohashes in the library, hence appending orderBy() with another feild wouldn't produce expected results. Alternatively documents can be sorted on client side.
Acknowledgements
NB! GeoFlutterFire2 is a revisited and updated version of GeoFlutterFire
The work originates from GeoFlutterFire by Darshan Narayanaswamy