Firebase Data Connect Skill
This skill defines how to correctly use Firebase Data Connect in Flutter applications.
When to Use
Use this skill when:
- Setting up and configuring Firebase Data Connect in a Flutter project.
- Designing schemas, queries, and mutations for Data Connect.
- Implementing generated SDK calls for typed queries and mutations.
- Handling network failures, data inconsistencies, and offline scenarios.
- Applying security and performance best practices.
1. Setup and Configuration
Step 1: Install the package
flutter pub add firebase_data_connect
Step 2: Import and initialize
dartimport 'package:firebase_data_connect/firebase_data_connect.dart'; import 'package:firebase_core/firebase_core.dart'; import 'firebase_options.dart'; await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform, );
Step 3: Define a schema in dataconnect/schema/schema.gql
graphqltype Movie @table { id: UUID! @default(expr: "uuidV4()") title: String! releaseYear: Int genre: String rating: Float description: String }
Step 4: Define queries and mutations in dataconnect/connector/queries.gql
graphqlquery ListMovies @auth(level: PUBLIC) { movies { id title releaseYear genre rating } } mutation CreateMovie($title: String!, $releaseYear: Int, $genre: String) @auth(level: USER) { movie_insert(data: { title: $title releaseYear: $releaseYear genre: $genre }) } mutation DeleteMovie($id: UUID!) @auth(level: USER) { movie_delete(id: $id) }
Step 5: Generate the typed Flutter SDK
flutterfire generate
This produces typed Dart classes for each query and mutation.
Platform support:
| Platform | Support |
|---|---|
| iOS | Full |
| Android | Full |
| Web | Full |
| Other platforms | Not supported |
2. Executing Queries and Mutations
Use the generated SDK to execute typed queries and mutations:
dart// Execute a query final result = await ListMoviesQuery().execute(); final movies = result.data.movies; // Execute a mutation await CreateMovieMutation(title: 'Inception', releaseYear: 2010, genre: 'Sci-Fi') .execute(); // Delete by ID await DeleteMovieMutation(id: movieId).execute();
Real-Time Listeners
Subscribe to query changes for live updates:
dartfinal subscription = ListMoviesQuery().subscribe(); subscription.listen((result) { final movies = result.data.movies; // Update UI with latest movie list });
3. Performance and Caching
- Design efficient queries requesting only the fields needed to minimize data transfer.
- Implement pagination for large datasets:
graphql
query ListMoviesPaginated($limit: Int!, $offset: Int!) @auth(level: PUBLIC) { movies(limit: $limit, offset: $offset) { id title releaseYear } } - Use real-time listeners judiciously to avoid unnecessary network usage.
- Consider offline capabilities for critical app functionality by caching query results locally.
4. Error Handling
Wrap Data Connect calls in try/catch to handle network and validation errors:
darttry { final result = await ListMoviesQuery().execute(); return result.data.movies; } on FirebaseException catch (e) { if (e.code == 'unavailable') { // Handle offline — return cached data return _localCache.getMovies(); } rethrow; }
- Implement retry logic with exponential backoff for transient connection errors.
- Provide meaningful error messages for data validation failures.
- Monitor error rates and investigate recurring issues.
5. Security
- Use
@authdirectives in schema to control access levels (PUBLIC,USER,NO_ACCESS). - Integrate Firebase Authentication for user-based access control.
- Validate data on both client and server sides.
- Follow data privacy best practices when handling user information.


