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@dataql/firebase-adapter

Firebase adapter for DataQL with zero API changes

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@dataql/firebase-adapter

Migrate from Firebase/Firestore to DataQL with zero API changes. This adapter provides a Firebase-compatible API that runs on DataQL with automatic scaling, caching, and offline support.

Installation

npm install @dataql/core @dataql/firebase-adapter

Quick Start

import { initializeApp, getFirestore } from "@dataql/firebase-adapter";

// Initialize Firebase app with DataQL
const firebaseConfig = {
  apiKey: "your-api-key",
  authDomain: "your-project.firebaseapp.com",
  projectId: "your-project",
  storageBucket: "your-project.appspot.com",
  messagingSenderId: "123456789",
  appId: "1:123456789:web:abcdef123456",
};

const app = initializeApp(firebaseConfig, {
  appToken: "your-app-token", // Required for DataQL authentication
  env: "prod", // Environment: 'dev' or 'prod'
  dbName: "your_app_db", // Database name for data isolation
});

const db = getFirestore(app);

// Use familiar Firestore syntax - all operations powered by DataQL
const usersRef = db.collection("users");

// Add a document
const docRef = await usersRef.add({
  name: "John Doe",
  email: "john@example.com",
  age: 30,
  active: true,
});

console.log("Document written with ID: ", docRef.id);

// Query documents
const snapshot = await usersRef
  .where("active", "==", true)
  .where("age", ">=", 18)
  .orderBy("name")
  .limit(10)
  .get();

snapshot.forEach((doc) => {
  console.log(doc.id, " => ", doc.data());
});

// Real-time listener
const unsubscribe = usersRef.onSnapshot((snapshot) => {
  snapshot.forEach((doc) => {
    console.log("User:", doc.data());
  });
});

// Clean up listener
unsubscribe();

Configuration

const app = initializeApp(firebaseConfig, {
  appToken: "your-app-token", // Required - authentication for DataQL
  env: "prod", // Optional - 'dev' or 'prod' (default: 'prod')
  devPrefix: "dev_", // Optional - prefix for dev environment collections
  dbName: "your_app_db", // Optional - database name for data isolation
  customConnection: undefined, // Optional - for custom integrations
});

Configuration Options

  • appToken (required): Authentication token for DataQL
  • env: Environment - 'dev' or 'prod' (default: 'prod')
  • devPrefix: Collection prefix for development environment (default: 'dev_')
  • dbName: Database name for data isolation (each client gets dedicated database)
  • customConnection: Advanced option for custom integrations

Benefits Over Direct Firebase

While maintaining 100% Firebase API compatibility, you get DataQL's enhanced capabilities:

  • Simplified Setup: No need to manage Firebase projects, billing, or infrastructure
  • Auto-scaling: Automatic scaling based on usage
  • Offline-first: Built-in offline support with automatic sync when online
  • Real-time: Live data updates across all connected clients
  • Global Performance: Data served from edge locations worldwide for low latency
  • Data Isolation: Each client gets their own dedicated database automatically
  • Multi-layer Caching: Optimized performance with intelligent caching

Migration Guide

From Firebase

  • Replace imports:

    // Before
    import { initializeApp } from "firebase/app";
    import { getFirestore } from "firebase/firestore";
    
    // After
    import { initializeApp, getFirestore } from "@dataql/firebase-adapter";
    
  • Update app initialization:

    // Before - Direct Firebase connection
    const app = initializeApp(firebaseConfig);
    
    // After - DataQL authentication
    const app = initializeApp(firebaseConfig, {
      appToken: "your-app-token", // Required for DataQL authentication
      dbName: "your_app_db", // Your database name
    });
    
  • Your Firestore code works exactly the same:

    // This works exactly the same - but now powered by DataQL
    const db = getFirestore(app);
    const snapshot = await db.collection("users").get();
    

API Compatibility

Supported Firebase Features

Firestore Database

  • initializeApp(config, options) - Initialize Firebase app
  • getFirestore(app) - Get Firestore instance
  • collection(path) - Get collection reference
  • doc(path) - Get document reference

Collection Operations

  • .add(data) - Add document to collection
  • .doc(id) - Get document by ID
  • .where(field, operator, value) - Filter documents
  • .orderBy(field, direction) - Sort documents
  • .limit(count) - Limit number of results
  • .get() - Execute query and get snapshot
  • .onSnapshot(callback) - Real-time listener

Document Operations

  • .get() - Get document snapshot
  • .set(data, options) - Set document data
  • .update(data) - Update document fields
  • .delete() - Delete document
  • .onSnapshot(callback) - Real-time document listener

Query Operators

  • == - Equal to
  • != - Not equal to
  • < - Less than
  • <= - Less than or equal to
  • > - Greater than
  • >= - Greater than or equal to
  • array-contains - Array contains value
  • in - Field value is in array
  • array-contains-any - Array contains any of the values

Response Types

  • DocumentSnapshot with .data(), .get(), .exists
  • QuerySnapshot with .docs, .size, .empty, .forEach()
  • QueryDocumentSnapshot with .data(), .get()
  • WriteResult with .writeTime

DataQL Enhancements

While maintaining Firebase compatibility, you also get DataQL's additional features:

  • Offline-first: Automatic offline support and sync
  • Multi-region: Global data distribution
  • Schema validation: Optional schema enforcement
  • WAL support: Write-ahead logging for reliability
  • Unique document creation: createUnique() method to prevent duplicates

TypeScript Support

Full TypeScript support with inferred types:

import {
  initializeApp,
  getFirestore,
  DocumentData,
} from "@dataql/firebase-adapter";

interface User {
  name: string;
  email: string;
  age?: number;
  active: boolean;
  createdAt?: string;
}

const app = initializeApp(firebaseConfig, options);
const db = getFirestore(app);

// Type-safe operations
const usersRef = db.collection("users");
const userDoc = await usersRef.doc("user123").get();

if (userDoc.exists) {
  const userData = userDoc.data() as User;
  console.log("User:", userData.name);
}

// Typed queries
const activeUsers = await usersRef.where("active", "==", true).get();

activeUsers.forEach((doc) => {
  const user = doc.data() as User;
  console.log("Active user:", user.name);
});

Real-time Subscriptions

Real-time features work just like Firebase:

// Collection listener
const unsubscribe = db.collection("messages").onSnapshot((snapshot) => {
  snapshot.docChanges().forEach((change) => {
    if (change.type === "added") {
      console.log("New message:", change.doc.data());
    } else if (change.type === "modified") {
      console.log("Modified message:", change.doc.data());
    } else if (change.type === "removed") {
      console.log("Removed message:", change.doc.data());
    }
  });
});

// Document listener
const docUnsubscribe = db.doc("users/user123").onSnapshot((doc) => {
  if (doc.exists) {
    console.log("Current data:", doc.data());
  } else {
    console.log("Document does not exist");
  }
});

// Cleanup
unsubscribe();
docUnsubscribe();

Advanced Queries

Complex queries with multiple filters and ordering:

// Complex filtering
const posts = await db
  .collection("posts")
  .where("published", "==", true)
  .where("category", "in", ["tech", "science"])
  .where("likes", ">=", 10)
  .orderBy("createdAt", "desc")
  .limit(20)
  .get();

posts.forEach((doc) => {
  console.log("Post:", doc.data());
});

// Array queries
const usersByTags = await db
  .collection("users")
  .where("tags", "array-contains", "developer")
  .get();

const usersByMultipleTags = await db
  .collection("users")
  .where("tags", "array-contains-any", ["developer", "designer"])
  .get();

// Compound queries
const recentActiveUsers = await db
  .collection("users")
  .where("active", "==", true)
  .where("lastLoginAt", ">=", "2024-01-01")
  .orderBy("lastLoginAt", "desc")
  .limit(50)
  .get();

Document Operations

Standard Firestore document operations:

const userRef = db.collection("users").doc("user123");

// Create/set document
await userRef.set({
  name: "John Doe",
  email: "john@example.com",
  active: true,
});

// Update specific fields
await userRef.update({
  name: "John Smith",
  lastUpdated: new Date(),
});

// Merge data with existing document
await userRef.set(
  {
    preferences: {
      theme: "dark",
      notifications: true,
    },
  },
  { merge: true }
);

// Get document
const doc = await userRef.get();
if (doc.exists) {
  console.log("User data:", doc.data());
} else {
  console.log("User not found");
}

// Delete document
await userRef.delete();

Error Handling

Standard Firebase error handling:

try {
  const doc = await db.collection("users").doc("user123").get();
  if (doc.exists) {
    console.log("User:", doc.data());
  } else {
    console.log("User not found");
  }
} catch (error) {
  console.error("Error getting user:", error);
}

// Handling write operations
try {
  await db.collection("users").add({
    name: "Jane Doe",
    email: "jane@example.com",
  });
  console.log("User created successfully");
} catch (error) {
  console.error("Error creating user:", error);
}

Limitations

Some advanced Firebase features are not yet supported:

  • Authentication: Firebase Auth methods are not implemented (implement your own authentication layer)
  • Storage: Firebase Storage methods are not implemented (use DataQL's storage instead)
  • Cloud Functions: Firebase Functions are not supported (use DataQL's serverless functions instead)
  • Security Rules: Not implemented (use DataQL's security features instead)
  • Subcollections: Nested collections are not fully implemented
  • Transactions: Atomic transactions are not yet supported
  • Batch writes: Batch operations are not yet supported
  • Pagination cursors: startAt, endAt methods are simplified

If you need these features, please open an issue.

Examples

Basic CRUD Operations

const db = getFirestore(app);

// Create
const newUserRef = await db.collection("users").add({
  name: "Alice Johnson",
  email: "alice@example.com",
  role: "admin",
  createdAt: new Date(),
});

// Read
const userSnapshot = await db
  .collection("users")
  .where("role", "==", "admin")
  .get();

userSnapshot.forEach((doc) => {
  console.log("Admin user:", doc.data());
});

// Update
await db.collection("users").doc(newUserRef.id).update({
  name: "Alice Smith",
  updatedAt: new Date(),
});

// Delete
await db.collection("users").doc(newUserRef.id).delete();

Real-time Chat Application

// Listen for new messages
const messagesRef = db.collection("messages");

const unsubscribe = messagesRef
  .orderBy("timestamp", "desc")
  .limit(50)
  .onSnapshot((snapshot) => {
    snapshot.forEach((doc) => {
      const message = doc.data();
      addMessageToUI(message);
    });
  });

// Send a message
async function sendMessage(text: string, userId: string) {
  try {
    await messagesRef.add({
      text,
      userId,
      timestamp: new Date(),
      reactions: [],
    });
  } catch (error) {
    console.error("Failed to send message:", error);
  }
}

// Cleanup
function cleanup() {
  unsubscribe();
}

E-commerce Product Catalog

// Query products by category with pagination
async function getProducts(category: string, limit: number = 20) {
  const productsRef = db.collection("products");

  const snapshot = await productsRef
    .where("category", "==", category)
    .where("inStock", "==", true)
    .orderBy("price", "asc")
    .limit(limit)
    .get();

  return snapshot.docs.map((doc) => ({
    id: doc.id,
    ...doc.data(),
  }));
}

// Search products by tags
async function searchProducts(tags: string[]) {
  const productsRef = db.collection("products");

  const snapshot = await productsRef
    .where("tags", "array-contains-any", tags)
    .where("available", "==", true)
    .get();

  return snapshot.docs.map((doc) => ({
    id: doc.id,
    ...doc.data(),
  }));
}

// Update product inventory
async function updateInventory(productId: string, quantity: number) {
  const productRef = db.collection("products").doc(productId);

  await productRef.update({
    inventory: quantity,
    inStock: quantity > 0,
    lastUpdated: new Date(),
  });
}

License

MIT

Keywords

dataql

FAQs

Package last updated on 30 Jun 2025

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U.S. Patent No. 12,346,443 & 12,314,394. Other pending.