Firebase Data Connect
Firebase (Google)OfficialCreated by Google LLCDistributed by Firebase (Google)
- Skill
- Tool integration
- Software development
- Apache-2.0
- Low risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Firebase SQL Connect (formerly Firebase Data Connect) provides a managed relational database service built on Cloud SQL for PostgreSQL. It enables developers to define data models using GraphQL schemas, automatically generating type-safe SDKs for various platforms. The service emphasizes a secure-by-default approach, offering built-in authorization, real-time data updates, and support for complex operations through both GraphQL and native SQL.
What it does
- Defines relational data models using GraphQL schema syntax.
- Generates type-safe SDKs for TypeScript, Kotlin, Swift, Dart, and Node.js.
- Manages database operations including queries, mutations, and transactions.
- Configures real-time data subscriptions and event-driven updates.
- Supports advanced PostgreSQL features via native SQL when necessary.
- Provides local emulation for development, testing, and data seeding.
When to use it
- When building a new application that requires a relational database integrated with Firebase.
- When you need to generate type-safe client SDKs from a defined database schema.
- When implementing row-level security and authorized data access.
- When your application requires real-time data synchronization.
- When you need to perform complex database operations like vector search or window functions.
Advantages
- Strong type safety across the full stack via auto-generated SDKs.
- Secure-by-default architecture with built-in authorization directives.
- Seamless integration with the Firebase ecosystem and Cloud SQL.
- Flexible operation strategies allowing for both standard GraphQL and advanced native SQL.
- Robust local development tooling including emulators and schema validation.
Usage examples
- “How do I define a new table for my user profiles in Firebase SQL Connect?”
- The agent will guide you to define a GraphQL type in schema.gql using the @table directive, specifying columns and relationships.
- “Generate a TypeScript SDK for my current Firebase SQL Connect project.”
- The agent will show you how to configure the generate block in connector.yaml and run the SDK generation command.
- “How can I perform a complex PostgreSQL window function in my query?”
- The agent will explain how to use Native SQL operations with _select or _execute to bypass standard GraphQL limitations.
- “Set up a real-time subscription for my movie list.”
- The agent will demonstrate using the @refresh directive in your query to enable event-driven updates.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/firebase/firebase-data-connect/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip firebase-data-connect.zip -d .agents/skills
Documentation by Google LLC
Firebase SQL Connect
Firebase SQL Connect is a relational database service using Cloud SQL for PostgreSQL with GraphQL schema, auto-generated queries/mutations, and type-safe SDKs.
[!NOTE] Product Rename: Firebase Data Connect was renamed to Firebase SQL Connect. All instructions, references, and examples in this skill repository referring to "Data Connect" or "Firebase Data Connect" apply to "SQL Connect" and "Firebase SQL Connect" as well.
Project Structure
dataconnect/
├── dataconnect.yaml # Service configuration
├── seed_data.gql # LOCAL ONLY — prototype/test data
├── schema/
│ └── schema.gql # Data model (types with @table)
└── connector/
├── connector.yaml # Connector config + SDK generation
├── queries.gql # Queries
└── mutations.gql # MutationsKey Tools for Validation
Rely on these two mechanisms to ensure project correctness:
Review GraphQL Schema: Both user-defined and generated extensions (in
.dataconnect/schema/main/).Validate Operations: Run
npx -y firebase-tools@latest dataconnect:compileagainst the schema.
Operation Strategies: GraphQL vs. Native SQL
Always default to Native GraphQL. Native SQL lacks type safety and bypasses schema-enforced structures. Only use Native SQL when the user explicitly requests it or when the task requires advanced database features.
| Strategy | When to use | Implementation |
|---|---|---|
| Native GraphQL (Default) | Almost all use cases. Standard CRUD, basic filtering/sorting, simple relational joins. Requires full type safety. | Auto-generated fields (movie_insert, movies). Strong typing and schema enforcement. |
| Native SQL (Advanced) | PostgreSQL extensions (e.g., PostGIS), window functions (RANK()), complex aggregations, or highly tuned sub-queries. | Raw SQL string literals via _select, _execute, etc. Requires strict positional parameters ($1). No type safety. |
Development Workflow
Follow this strict workflow to build your application. You must read the linked reference files for each step to understand the syntax and available features.
1. Define Data Model (schema/schema.gql)
Define your GraphQL types, tables, and relationships (which map to a Postgres schema).
Read reference/schema.md for:
@table,@col,@defaultRelationships (
@ref, one-to-many, many-to-many)Data types (UUID, Vector, JSON, etc.)
2. Define Authorized Operations (connector/queries.gql, connector/mutations.gql)
Write the queries and mutations your client will use, including authorization logic. SQL Connect is secure by default.
Read reference/operations.md for:
Queries: Filtering (
where), Ordering (orderBy), Pagination (limit/offset).Mutations: Create (
_insert), Update (_update), Delete (_delete).Upserts: Use
_upsertto "insert or update" records (CRITICAL for user profiles).Transactions: Use
@transactionfor multi-step atomic operations. Use_expr: "response.<prevStep>"to pass data between steps.Read reference/security.md for authorization:
@auth(level: ...)for PUBLIC, USER, or NO_ACCESS.
@checkand@redactfor row-level security and validation.Read reference/realtime.md for real-time subscriptions:
@refreshdirective for time-based polling and event-driven updates.CEL conditions to scope refresh triggers precisely.
Read reference/native_sql.md for Native SQL operations:
Embedding raw SQL with
_select,_selectFirst,_executeStrict rules for positional parameters (
$1,$2), quoting, and CTEsAdvanced PostgreSQL features (PostGIS, Window Functions)
3. Use type-safe SDK in your apps
Generate type-safe code for your client platform.
Configure SDK generation in connector.yaml:
connectorId: my-connector
generate:
javascriptSdk:
outputDir: "../web-app/src/lib/dataconnect"
package: "@movie-app/dataconnect"
kotlinSdk:
outputDir: "../android-app/app/src/main/kotlin/com/example/dataconnect"
package: "com.example.dataconnect"
swiftSdk:
outputDir: "../ios-app/DataConnect"
package: "DataConnectGenerated"Generate SDKs:
npx -y firebase-tools@latest dataconnect:sdk:generateFor platform-specific instructions on how to use the generated SDKs, read:
Web (TypeScript): reference/sdk_web.md
Android (Kotlin): reference/sdk_android.md
iOS (Swift): reference/sdk_ios.md
Admin (Node.js): reference/sdk_admin_node.md
Flutter (Dart): reference/sdk_flutter.md
Feature Capability Map
If you need to implement a specific feature, consult the mapped reference file:
| Feature | Reference File | Key Concepts |
|---|---|---|
| Data Modeling | reference/schema.md | @table, @unique, @index, Relations |
| Vector Search | reference/search.md | Vector, @col(dataType: "vector"), embeddings |
| Full-Text Search | reference/search.md | @searchable, movies_search |
| Upserting Data | reference/operations.md | _upsert mutations |
| Complex Filters | reference/operations.md | _or, _and, _not, eq, contains |
| Transactions | reference/operations.md | @transaction, response binding |
| Environment Config | reference/config.md | dataconnect.yaml, connector.yaml |
| Realtime Subscriptions | reference/realtime.md | @refresh, subscribe(), auto-refresh |
| Cloud Functions Integration | reference/cloud_functions.md | onMutationExecuted, triggering events |
| Data Seeding & Migrations | reference/data_seeding.md | seed_data.gql, _insertMany, Admin SDK bulk |
| Starter Templates | templates.md | CRUD, user-owned resources, many-to-many, SDK init |
Deployment & CLI
Read reference/config.md for deep dive on configuration.
Follow these patterns based on your current task:
How to initialize SQL Connect in a Firebase project
Understand the app idea. Ask clarification questions if unclear.
Run
npx -y firebase-tools@latest init dataconnect.Validate that the app template and generated SDK are setup.
How to build apps using SQL Connect locally
Start the emulator:
npx -y firebase-tools@latest emulators:start --only dataconnect.Write schema and operations.
Seed local test data into
seed_data.gql. Read reference/data_seeding.md.Run
npx -y firebase-tools@latest dataconnect:compileornpx -y firebase-tools@latest dataconnect:sdk:generateto validate them.Use the operations in your app and build it.
How to deploy SQL Connect to Cloud SQL
Run
npx -y firebase-tools@latest deploy --only dataconnect.
Examples
For complete, working code examples of schemas and operations, see examples.md.
For ready-to-use starter templates (CRUD, user-owned resources, many-to-many, YAML configs, SDK init), see templates.md.
Files
- ATTRIBUTION.mdAdded by AutoGineer989 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md9.3 KiB
- examples.md14.7 KiB
- reference/cloud_functions.md6.0 KiB
- reference/config.md7.1 KiB
- reference/data_seeding.md5.8 KiB
- reference/native_sql.md6.9 KiB
- reference/operations.md11.0 KiB
- reference/realtime.md7.7 KiB
- reference/schema.md7.4 KiB
- reference/sdk_admin_node.md4.1 KiB
- reference/sdk_android.md5.9 KiB
- reference/sdk_flutter.md3.4 KiB
- reference/sdk_ios.md4.2 KiB
- reference/sdk_web.md4.8 KiB
- reference/search.md8.7 KiB
- reference/security.md8.9 KiB
- templates.md7.1 KiB
examples.md
Examples
Complete, working examples for common SQL Connect use cases.
Movie Review App
A complete schema for a movie database with reviews, actors, and user authentication.
Schema
# schema.gql
# Users
type User @table(key: "uid") {
uid: String! @default(expr: "auth.uid")
email: String! @unique
displayName: String
createdAt: Timestamp! @default(expr: "request.time")
}
# Movies
type Movie @table {
id: UUID! @default(expr: "uuidV4()")
title: String!
releaseYear: Int
genre: String @index
rating: Float
description: String
posterUrl: String
createdAt: Timestamp! @default(expr: "request.time")
}
# Movie metadata (one-to-one)
type MovieMetadata @table {
movie: Movie! @unique
director: String
runtime: Int
budget: Int64
}
# Actors
type Actor @table {
id: UUID! @default(expr: "uuidV4()")
name: String!
birthDate: Date
}
# Movie-Actor relationship (many-to-many)
type MovieActor @table(key: ["movie", "actor"]) {
movie: Movie!
actor: Actor!
role: String! # "lead" or "supporting"
character: String
}
# Reviews (user-owned)
type Review @table @unique(fields: ["movie", "user"]) {
id: UUID! @default(expr: "uuidV4()")
movie: Movie!
user: User!
rating: Int!
text: String
createdAt: Timestamp! @default(expr: "request.time")
}Queries
# queries.gql
# Public: List movies with filtering
query ListMovies($genre: String, $minRating: Float, $limit: Int)
@auth(level: PUBLIC) {
movies(
where: {
genre: { eq: $genre },
rating: { ge: $minRating }
},
orderBy: [{ rating: DESC }],
limit: $limit
) {
id title genre rating releaseYear posterUrl
}
}
# Public: Get movie with full details
query GetMovie($id: UUID!) @auth(level: PUBLIC) {
movie(id: $id) {
id title genre rating releaseYear description
metadata: movieMetadata_on_movie { director runtime }
actors: actors_via_MovieActor { name }
reviews: reviews_on_movie(orderBy: [{ createdAt: DESC }], limit: 10) {
rating text createdAt
user { displayName }
}
}
}
# User: Get my reviews
query MyReviews @auth(level: USER) {
reviews(where: { user: { uid: { eq_expr: "auth.uid" }}}) {
id rating text createdAt
movie { id title posterUrl }
}
}Mutations
# mutations.gql
# User: Create/update profile on first login
mutation UpsertUser($email: String!, $displayName: String) @auth(level: USER) {
user_upsert(data: {
uid_expr: "auth.uid",
email: $email,
displayName: $displayName
})
}
# User: Add review (one per movie per user)
mutation AddReview($movieId: UUID!, $rating: Int!, $text: String)
@auth(level: USER) {
review_upsert(data: {
movie: { id: $movieId },
user: { uid_expr: "auth.uid" },
rating: $rating,
text: $text
})
}
# User: Delete my review
mutation DeleteReview($id: UUID!) @auth(level: USER) {
review_delete(
first: { where: {
id: { eq: $id },
user: { uid: { eq_expr: "auth.uid" }}
}}
)
}Realtime Queries
# queries.gql (realtime additions)
# Auto-refresh: this single-entity lookup refreshes automatically
# when any mutation modifies this specific movie. No @refresh needed.
query GetMovie($id: UUID!) @auth(level: PUBLIC) {
movie(id: $id) {
id title genre rating releaseYear description
metadata: movieMetadata_on_movie { director runtime }
reviews: reviews_on_movie(orderBy: [{ createdAt: DESC }], limit: 10) {
rating text createdAt
user { displayName }
}
}
}
# Event-driven: Simple refresh when any movie is added
query ListMoviesSimple @auth(level: PUBLIC) @refresh(onMutationExecuted: { operation: "AddMovie" }) {
movies { id title }
}
# Counterpart mutation for ListMoviesSimple
mutation AddMovie($title: String!) @auth(level: USER) {
movie_insert(data: { title: $title })
}
# Event-driven: Refresh only when a movie of the same genre is added
# Demonstrates the use of 'condition' and 'mutation.variables'
query ListMoviesByGenre($genre: String!) @auth(level: PUBLIC)
@refresh(onMutationExecuted: {
operation: "AddMovieWithGenre",
condition: "mutation.variables.genre == request.variables.genre"
}) {
movies(where: { genre: { eq: $genre } }) { id title }
}
# Counterpart mutation for ListMoviesByGenre
mutation AddMovieWithGenre($title: String!, $genre: String!) @auth(level: USER) {
movie_insert(data: { title: $title, genre: $genre })
}
# Event-driven: Refresh user profile when updated
# Demonstrates condition based on auth context
query MyProfile @auth(level: USER)
@refresh(onMutationExecuted: {
operation: "UpdateProfile",
condition: "mutation.auth.uid == request.auth.uid"
}) {
user(uid_expr: "auth.uid") { uid displayName }
}
# Counterpart mutation for MyProfile
mutation UpdateProfile($name: String!) @auth(level: USER) {
user_update(key: { uid_expr: "auth.uid" }, data: { displayName: $name })
}
# Time-based: live leaderboard refreshing every 30 seconds
query MovieLeaderboard
@auth(level: PUBLIC)
@refresh(every: { seconds: 30 }) {
movies(orderBy: [{ rating: DESC }], limit: 10) {
id title rating
}
}import { listMoviesRef, movieLeaderboardRef } from '@movie-app/dataconnect';
import { subscribe } from 'firebase/data-connect';
// Subscribe to movie list — refreshes when AddReview mutation runs
const unsubMovies = subscribe(listMoviesRef({ genre: 'Action' }), {
onNext: (result) => updateMovieList(result.data.movies),
onErr: (error) => console.error(error) // Observer object property is `onErr` (positional overload parameter is `onError`)
});
// Subscribe to leaderboard — refreshes every 30 seconds
const unsubLeaderboard = subscribe(movieLeaderboardRef(), {
onNext: (result) => updateLeaderboard(result.data.movies),
onErr: (error) => console.error(error)
});
// Cleanup
// unsubMovies();
// unsubLeaderboard();E-Commerce Store
Products, orders, and cart management with user authentication.
Schema
# schema.gql
type User @table(key: "uid") {
uid: String! @default(expr: "auth.uid")
email: String! @unique
name: String
shippingAddress: String
}
type Product @table {
id: UUID! @default(expr: "uuidV4()")
name: String! @index
description: String
price: Float!
stock: Int! @default(value: 0)
category: String @index
imageUrl: String
}
type CartItem @table(key: ["user", "product"]) {
user: User!
product: Product!
quantity: Int!
}
enum OrderStatus {
PENDING
PAID
SHIPPED
DELIVERED
CANCELLED
}
type Order @table {
id: UUID! @default(expr: "uuidV4()")
user: User!
status: OrderStatus! @default(value: PENDING)
total: Float!
shippingAddress: String!
createdAt: Timestamp! @default(expr: "request.time")
}
type OrderItem @table {
id: UUID! @default(expr: "uuidV4()")
order: Order!
product: Product!
quantity: Int!
priceAtPurchase: Float!
}Operations
# Public: Browse products
query ListProducts($category: String, $search: String) @auth(level: PUBLIC) {
products(where: {
category: { eq: $category },
name: { contains: $search },
stock: { gt: 0 }
}) {
id name price stock imageUrl
}
}
# User: View cart
query MyCart @auth(level: USER) {
cartItems(where: { user: { uid: { eq_expr: "auth.uid" }}}) {
quantity
product { id name price imageUrl stock }
}
}
# User: Add to cart
mutation AddToCart($productId: UUID!, $quantity: Int!) @auth(level: USER) {
cartItem_upsert(data: {
user: { uid_expr: "auth.uid" },
product: { id: $productId },
quantity: $quantity
})
}
# User: Checkout (transactional)
mutation Checkout($shippingAddress: String!)
@auth(level: USER)
@transaction {
# Query cart items
query @redact {
cartItems(where: { user: { uid: { eq_expr: "auth.uid" }}})
@check(expr: "this.size() > 0", message: "Cart is empty") {
quantity
product { id price }
}
}
# Create order (in real app, calculate total from cart)
order_insert(data: {
user: { uid_expr: "auth.uid" },
shippingAddress: $shippingAddress,
total: 0 # Calculate in app logic
})
}Blog with Permissions
Multi-author blog with role-based permissions.
Schema
# schema.gql
type User @table(key: "uid") {
uid: String! @default(expr: "auth.uid")
email: String! @unique
name: String!
bio: String
}
enum UserRole {
VIEWER
AUTHOR
EDITOR
ADMIN
}
type BlogPermission @table(key: ["user"]) {
user: User!
role: UserRole! @default(value: VIEWER)
}
enum PostStatus {
DRAFT
PUBLISHED
ARCHIVED
}
type Post @table {
id: UUID! @default(expr: "uuidV4()")
author: User!
title: String! @searchable
content: String! @searchable
status: PostStatus! @default(value: DRAFT)
publishedAt: Timestamp
createdAt: Timestamp! @default(expr: "request.time")
updatedAt: Timestamp! @default(expr: "request.time")
}
type Comment @table {
id: UUID! @default(expr: "uuidV4()")
post: Post!
author: User!
content: String!
createdAt: Timestamp! @default(expr: "request.time")
}Operations with Role Checks
# Public: Read published posts
query PublishedPosts @auth(level: PUBLIC) {
posts(
where: { status: { eq: PUBLISHED }},
orderBy: [{ publishedAt: DESC }]
) {
id title content publishedAt
author { name }
}
}
# Author+: Create post
mutation CreatePost($title: String!, $content: String!)
@auth(level: USER)
@transaction {
# Check user is at least AUTHOR
query @redact {
blogPermission(key: { user: { uid_expr: "auth.uid" }})
@check(expr: "this != null", message: "No permission record") {
role @check(expr: "this in ['AUTHOR', 'EDITOR', 'ADMIN']", message: "Must be author+")
}
}
post_insert(data: {
author: { uid_expr: "auth.uid" },
title: $title,
content: $content
})
}
# Editor+: Publish any post
mutation PublishPost($id: UUID!)
@auth(level: USER)
@transaction {
query @redact {
blogPermission(key: { user: { uid_expr: "auth.uid" }}) {
role @check(expr: "this in ['EDITOR', 'ADMIN']", message: "Must be editor+")
}
}
post_update(id: $id, data: {
status: PUBLISHED,
publishedAt_expr: "request.time"
})
}
# Admin: Grant role
mutation GrantRole($userUid: String!, $role: UserRole!)
@auth(level: USER)
@transaction {
query @redact {
blogPermission(key: { user: { uid_expr: "auth.uid" }}) {
role @check(expr: "this == 'ADMIN'", message: "Must be admin")
}
}
blogPermission_upsert(data: {
user: { uid: $userUid },
role: $role
})
}Native SQL Examples
For scenarios where standard GraphQL cannot express the required database logic, use Native SQL.
Basic SELECT with field aliasing
query GetMoviesByGenre($genre: String!, $limit: Int!) @auth(level: PUBLIC) {
movies: _select(
sql: """
SELECT id, title, release_year, rating
FROM movie
WHERE genre = $1
ORDER BY release_year DESC
LIMIT $2
""",
params: [$genre, $limit]
)
}Basic UPDATE
mutation UpdateMovieRating($movieId: UUID!, $newRating: Float!) @auth(level: USER) {
_execute(
sql: """
UPDATE movie
SET rating = $2
WHERE id = $1
""",
params: [$movieId, $newRating]
)
}Advanced aggregation with RANK
query GetMoviesRankedByRating @auth(level: PUBLIC) {
_select(
sql: """
SELECT
id,
title,
rating,
RANK() OVER (ORDER BY rating DESC) as rank
FROM movie
WHERE rating IS NOT NULL
LIMIT 20
""",
params: []
)
}UPDATE with RETURNING and Auth Context
mutation UpdateMyReviewText($movieId: UUID!, $newText: String!) @auth(level: USER) {
updatedReview: _executeReturningFirst(
sql: """
UPDATE review
SET text = $2
WHERE movie_id = $1 AND user_uid = $3
RETURNING movie_id, user_uid, rating, text
""",
params: [$movieId, $newText, {_expr: "auth.uid"}]
)
}Advanced CTE with upserts (atomic get-or-create)
Note: Data-modifying CTEs are only supported by _execute, not
_executeReturning.
mutation CreateMovieCTE($movieId: UUID!, $userUid: String!, $reviewId: UUID!) @auth(level: USER) {
_execute(
sql: """
WITH
new_user AS (
INSERT INTO "user" (uid, email, display_name)
VALUES ($2, '[email protected]', 'Auto-Generated User')
ON CONFLICT (uid) DO NOTHING
RETURNING uid
),
movie AS (
INSERT INTO movie (id, title, poster_url, release_year, genre)
VALUES ($1, 'Auto-Generated Movie', 'https://placeholder.com', 2025, 'Sci-Fi')
ON CONFLICT (id) DO NOTHING
RETURNING id
)
INSERT INTO review (id, movie_id, user_uid, rating, text, created_at)
VALUES (
$3,
$1,
$2,
5,
'Good!',
NOW()
)
""",
params: [$movieId, $userUid, $reviewId]
)
}Multi-statement Transactions
Because mutation operations are single requests, you can chain multiple
_execute commands within a @transaction to ensure they all succeed or fail
together.
mutation SafeTransfer($from: UUID!, $to: UUID!, $amount: Float!) @auth(level: USER) @transaction {
deduct: _execute(
sql: "UPDATE account SET balance = balance - $2 WHERE id = $1",
params: [$from, $amount]
)
add: _execute(
sql: "UPDATE account SET balance = balance + $2 WHERE id = $1",
params: [$to, $amount]
)
}Use of extensions (e.g. PostGIS for geospatial data)
Prerequisite: You must enable the extension on your underlying Cloud SQL instance by connecting to your database as the postgres user and running:
CREATE EXTENSION IF NOT EXISTS postgis;query GetNearbyActiveRestaurants($userLong: Float!, $userLat: Float!, $maxDistanceMeters: Float!) @auth(level: USER) {
nearby: _select(
sql: """
SELECT
id,
name,
tags,
ST_Distance(
ST_MakePoint((metadata->>'longitude')::float, (metadata->>'latitude')::float)::geography,
ST_MakePoint($1, $2)::geography
) as distance_meters
FROM restaurant
WHERE active = true
AND metadata ? 'longitude' AND metadata ? 'latitude'
AND ST_DWithin(
ST_MakePoint((metadata->>'longitude')::float, (metadata->>'latitude')::float)::geography,
ST_MakePoint($1, $2)::geography,
$3
)
ORDER BY distance_meters ASC
LIMIT 10
""",
params: [$userLong, $userLat, $maxDistanceMeters]
)
}After running the query using a client SDK, the result will be in
data.nearby.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Node.js
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Attribution and licence
- Created by
- Google LLC
- Publisher
- Firebase (Google) (Official)
- Distributed by
- Firebase (Google)
- Source
- firebase/agent-skills · skills/firebase-data-connect-basics · commit b76be96
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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