Firebase

Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model.

This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. If you're thinking relationally, you're thinking wrong.

2025 lesson: Firestore pricing can surprise you. Reads are cheap until they're not. A poorly designed listener can cost more than a dedicated database. Plan your data model for your query patterns, not your data relationships.

Principles

• Design data for queries, not relationships
• Security rules are mandatory, not optional
• Denormalize aggressively - duplication is cheap, joins are expensive
• Batch writes and transactions for consistency
• Use offline persistence wisely - it's not free
• Cloud Functions for what clients shouldn't do
• Environment-based config, never hardcode keys in client

Capabilities

• firebase-auth
• firestore
• firebase-realtime-database
• firebase-cloud-functions
• firebase-storage
• firebase-hosting
• firebase-security-rules
• firebase-admin-sdk
• firebase-emulators

Scope

• general-backend-architecture -> backend
• payment-processing -> stripe
• email-sending -> email
• advanced-auth-flows -> authentication-oauth
• kubernetes-deployment -> devops

Tooling

Core

• firebase - When: Client-side SDK Note: Modular SDK - tree-shakeable
• firebase-admin - When: Server-side / Cloud Functions Note: Full access, bypasses security rules
• firebase-functions - When: Cloud Functions v2 Note: v2 functions are recommended

Testing

• @firebase/rules-unit-testing - When: Testing security rules Note: Essential - rules bugs are security bugs
• firebase-tools - When: Emulator suite Note: Local development without hitting production

Frameworks

• reactfire - When: React + Firebase Note: Hooks-based, handles subscriptions
• vuefire - When: Vue + Firebase Note: Vue-specific bindings
• angularfire - When: Angular + Firebase Note: Official Angular bindings

Patterns

Modular SDK Import

Import only what you need for smaller bundles

When to use: Client-side Firebase usage

MODULAR IMPORTS:

""" Firebase v9+ uses modular SDK. Import only what you need. This enables tree-shaking and smaller bundles. """

// WRONG: v8-compat style (larger bundle) import firebase from 'firebase/compat/app'; import 'firebase/compat/firestore'; const db = firebase.firestore();

// RIGHT: v9+ modular (tree-shakeable) import { initializeApp } from 'firebase/app'; import { getFirestore, collection, doc, getDoc } from 'firebase/firestore';

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

// Get a document const docRef = doc(db, 'users', 'userId'); const docSnap = await getDoc(docRef);

if (docSnap.exists()) { console.log(docSnap.data()); }

// Query with constraints import { query, where, orderBy, limit } from 'firebase/firestore';

const q = query( collection(db, 'posts'), where('published', '==', true), orderBy('createdAt', 'desc'), limit(10) );

Security Rules Design

Secure your data with proper rules from day one

When to use: Any Firestore database

FIRESTORE SECURITY RULES:

""" Rules are your last line of defense. Every read and write goes through them. Get them wrong, and your data is exposed. """

rules_version = '2'; service cloud.firestore { match /databases/{database}/documents {

// Helper functions
function isSignedIn() {
  return request.auth != null;
}

function isOwner(userId) {
  return request.auth.uid == userId;
}

function isAdmin() {
  return request.auth.token.admin == true;
}

// Users collection
match /users/{userId} {
  // Anyone can read public profile
  allow read: if true;

  // Only owner can write their own data
  allow write: if isOwner(userId);

  // Private subcollection
  match /private/{document=**} {
    allow read, write: if isOwner(userId);
  }
}

// Posts collection
match /posts/{postId} {
  // Anyone can read published posts
  allow read: if resource.data.published == true
              || isOwner(resource.data.authorId);

  // Only authenticated users can create
  allow create: if isSignedIn()
                && request.resource.data.authorId == request.auth.uid;

  // Only author can update/delete
  allow update, delete: if isOwner(resource.data.authorId);
}

// Admin-only collection
match /admin/{document=**} {
  allow read, write: if isAdmin();
}

} }

Data Modeling for Queries

Design Firestore data structure around query patterns

When to use: Designing Firestore schema

FIRESTORE DATA MODELING:

""" Firestore is NOT relational. You can't JOIN. Design your data for how you'll QUERY it, not how it relates. """

// WRONG: Normalized (SQL thinking) // users/{userId} // posts/{postId} with authorId field // To get "posts by user" - need to query posts collection

// RIGHT: Denormalized for queries // users/{userId}/posts/{postId} - subcollection // OR // posts/{postId} with embedded author data

// Document structure for a post const post = { id: 'post123', title: 'My Post', content: '...',

// Embed frequently-needed author data author: { id: 'user456', name: 'Jane Doe', avatarUrl: '...' },

// Arrays for IN queries (max 30 items for 'in') tags: ['javascript', 'firebase'],

// Maps for compound queries stats: { likes: 42, comments: 7, views: 1000 },

// Timestamps createdAt: serverTimestamp(), updatedAt: serverTimestamp(),

// Booleans for filtering published: true, featured: false };

// Query patterns this enables: // - Get post with author info: 1 read (no join needed) // - Posts by tag: where('tags', 'array-contains', 'javascript') // - Featured posts: where('featured', '==', true) // - Recent posts: orderBy('createdAt', 'desc')

// When author updates their name, update all their posts // This is the tradeoff: writes are more complex, reads are fast

Real-time Listeners

Subscribe to data changes with proper cleanup

When to use: Real-time features

REAL-TIME LISTENERS:

""" onSnapshot creates a persistent connection. Always unsubscribe when component unmounts to prevent memory leaks and extra reads. """

// React hook for real-time document function useDocument(path) { const [data, setData] = useState(null); const [loading, setLoading] = useState(true); const [error, setError] = useState(null);

useEffect(() => { const docRef = doc(db, path);

// Subscribe to document
const unsubscribe = onSnapshot(
  docRef,
  (snapshot) => {
    if (snapshot.exists()) {
      setData({ id: snapshot.id, ...snapshot.data() });
    } else {
      setData(null);
    }
    setLoading(false);
  },
  (err) => {
    setError(err);
    setLoading(false);
  }
);

// Cleanup on unmount
return () => unsubscribe();

}, [path]);

return { data, loading, error }; }

// Usage function UserProfile({ userId }) { const { data: user, loading } = useDocument(users/${userId});

if (loading) return <Spinner />; return <div>{user?.name}</div>; }

// Collection with query function usePosts(limit = 10) { const [posts, setPosts] = useState([]);

useEffect(() => { const q = query( collection(db, 'posts'), where('published', '==', true), orderBy('createdAt', 'desc'), limit(limit) );

const unsubscribe = onSnapshot(q, (snapshot) => {
  const results = snapshot.docs.map(doc => ({
    id: doc.id,
    ...doc.data()
  }));
  setPosts(results);
})