🔄 Data Synchronization
Data synchronization is essential for modern applications to ensure consistent user experiences across multiple devices and platforms. This guide covers AppStruct's comprehensive data synchronization features, including real-time updates, offline support, and conflict resolution across web, iOS, and Android platforms.
Overview
What is Data Synchronization?
Data synchronization ensures that information remains consistent and up-to-date across all instances of your application, regardless of the device, platform, or network conditions users experience.
Key Components:
- Real-time Updates: Instant data propagation across connected clients
- Offline Support: Continue working without internet connectivity
- Conflict Resolution: Handle simultaneous edits from multiple users
- Cross-Platform Sync: Unified experience across web, iOS, and Android
- Incremental Sync: Efficient updates of only changed data
- Data Validation: Ensure data integrity during synchronization
Benefits of Synchronized Data
- Seamless User Experience: Users see the same data everywhere
- Collaborative Features: Multiple users can work together in real-time
- Offline Productivity: Continue working without internet connection
- Data Consistency: Prevent data loss and conflicts
- Performance: Faster app responses with cached data
- Reliability: Automatic recovery from network interruptions
AppStruct Synchronization Architecture
Synchronization Layers
1. Real-time Layer
- WebSocket connections for instant updates
- Server-sent events for web browsers
- Platform-specific push notifications
- Live query subscriptions
2. Offline Layer
- Local database caching (SQLite/IndexedDB)
- Change tracking and queuing
- Automatic retry mechanisms
- Data compression for efficient sync
3. Conflict Resolution Layer
- Last-write-wins strategies
- Operational transforms for text
- Custom conflict resolution rules
- Merge strategies for complex data
4. Validation Layer
- Schema validation during sync
- Business rule enforcement
- Data type checking
- Permission validation
Synchronization Flow
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Client │ │ Server │ │ Backend │
│ (Device) │ │ (AppStruct) │ │ (Database) │
└─────────────┘ └─────────────┘ └─────────────┘
│ │ │
│ 1. Data Change │ │
├──────────────────>│ │
│ │ 2. Validate & │
│ │ Store │
│ ├──────────────────>│
│ │ │
│ │ 3. Broadcast │
│ 4. Receive Update │ to Clients │
│<──────────────────┤ │
│ │ │
│ 5. Update Local │ │
│ Storage │ │
│ │ │
Real-time Synchronization
Live Data Updates
Automatic Synchronization:
- Changes made by any user are immediately visible to all other users
- No manual refresh required
- Optimistic updates for better user experience
- Automatic rollback on server conflicts
Implementation:
// Subscribe to real-time updates
const subscription = AppStruct.subscribeToTable('products', {
onUpdate: (updatedRecord) => {
// Handle updated data
updateUI(updatedRecord);
},
onInsert: (newRecord) => {
// Handle new data
addToUI(newRecord);
},
onDelete: (deletedRecord) => {
// Handle deleted data
removeFromUI(deletedRecord);
}
});
// Unsubscribe when component unmounts
subscription.unsubscribe();
Real-time Features by Backend
AppStruct Native Database:
- Built-in WebSocket connections
- Automatic subscription management
- Optimized for AppStruct workflows
- Zero configuration required
Supabase Integration:
- PostgreSQL LISTEN/NOTIFY mechanism
- Row-level subscriptions
- Column-level change detection
- Custom event triggers
Firebase Integration:
- Native real-time database
- Document and collection listeners
- Presence detection
- Offline persistence
Presence & Collaboration
User Presence:
// Track online users
const presence = AppStruct.trackPresence('document_123', {
userId: currentUser.id,
userName: currentUser.name,
cursor: currentCursorPosition
});
// Listen for other users
presence.onUserJoin((user) => {
showUserIndicator(user);
});
presence.onUserLeave((user) => {
hideUserIndicator(user);
});
presence.onUserUpdate((user) => {
updateUserIndicator(user);
});
Collaborative Editing:
- Multiple users can edit simultaneously
- Live cursor tracking
- Change highlighting
- Conflict-free collaborative editing
Offline Support
Offline-First Architecture
AppStruct implements an offline-first approach where the app works primarily with local data and synchronizes with the server when connectivity is available.
Key Features:
- Local Data Storage: SQLite (mobile) / IndexedDB (web)
- Change Tracking: Monitor all local modifications
- Queue Management: Store changes for later synchronization
- Automatic Sync: Resume synchronization when online
- Data Persistence: Maintain data across app restarts
Offline Data Management
Local Storage Strategy:
// Configure offline storage
AppStruct.configureOfflineStorage({
maxStorageSize: '100MB',
syncStrategy: 'incremental',
conflictResolution: 'server-wins',
retryAttempts: 5,
retryDelay: 1000 // milliseconds
});
// Check offline status
const isOffline = AppStruct.isOffline();
if (isOffline) {
// Show offline indicator
showOfflineMode();
} else {
hideOfflineMode();
}
Offline Operations:
// Create data while offline
const newRecord = await AppStruct.createRecord('products', {
name: 'New Product',
price: 29.99,
category: 'Electronics'
}, { allowOffline: true });
// Update data while offline
await AppStruct.updateRecord('products', recordId, {
price: 24.99
}, { allowOffline: true });
// Delete data while offline
await AppStruct.deleteRecord('products', recordId, { allowOffline: true });
Synchronization Strategies
Full Synchronization:
- Download entire dataset
- Suitable for small datasets
- Ensures complete data availability offline
- Higher initial download time
Incremental Synchronization:
- Download only changes since last sync
- Efficient for large datasets
- Faster synchronization
- Requires change tracking
Selective Synchronization:
- Download only required data based on user access patterns
- Most efficient for bandwidth
- Smart prefetching based on usage
- May require online connection for some data
Configuration:
// Configure sync strategy per table
AppStruct.configureSyncStrategy('products', {
type: 'incremental',
downloadLimit: 1000,
prefetchRelated: true,
syncFrequency: 'realtime'
});
AppStruct.configureSyncStrategy('analytics', {
type: 'selective',
syncOnDemand: true,
compressionEnabled: true
});
Conflict Resolution
Conflict Types
Update Conflicts:
- Same record modified by multiple users simultaneously
- Different field values for the same record
- Timestamp-based detection
Delete Conflicts:
- One user updates while another deletes
- Record exists locally but deleted on server
- Requires user decision or automatic resolution
Schema Conflicts:
- Database schema changes during offline period
- Field additions, removals, or type changes
- Migration handling during sync
Resolution Strategies
Last-Write-Wins:
// Configure last-write-wins for simple cases
AppStruct.configureConflictResolution('products', {
strategy: 'last-write-wins',
timestampField: 'updated_at'
});
Server-Wins:
// Server version always takes priority
AppStruct.configureConflictResolution('critical_data', {
strategy: 'server-wins',
backupLocalChanges: true
});
Client-Wins:
// Local changes take priority
AppStruct.configureConflictResolution('user_preferences', {
strategy: 'client-wins',
forceOverwrite: true
});
Custom Resolution:
// Implement custom conflict resolution logic
AppStruct.configureConflictResolution('documents', {
strategy: 'custom',
resolver: (localRecord, serverRecord, metadata) => {
// Custom logic to resolve conflicts
if (metadata.conflictType === 'concurrent_edit') {
// Merge changes intelligently
return mergeDocumentChanges(localRecord, serverRecord);
} else if (metadata.conflictType === 'delete_update') {
// Ask user for decision
return promptUserForResolution(localRecord, serverRecord);
}
// Default to server wins
return serverRecord;
}
});
Advanced Conflict Resolution
Field-Level Resolution:
// Resolve conflicts at individual field level
AppStruct.configureFieldConflictResolution('user_profiles', {
email: 'server-wins', // Server controls email validation
preferences: 'client-wins', // User controls preferences
avatar: 'last-write-wins', // Latest avatar wins
metadata: 'merge' // Merge metadata objects
});
Operational Transforms:
// For collaborative text editing
AppStruct.enableOperationalTransforms('documents', {
textFields: ['content', 'title'],
trackChanges: true,
preserveIntentions: true
});
Cross-Platform Synchronization
Platform-Specific Considerations
Web (Browser):
- Storage: IndexedDB for local persistence
- Network: Service Workers for background sync
- Real-time: WebSockets and Server-Sent Events
- Limitations: Storage quotas, tab lifecycle
iOS:
- Storage: Core Data or SQLite
- Network: URLSession with background tasks
- Real-time: WebSockets and Push Notifications
- Background: App background refresh capabilities
Android:
- Storage: Room database (SQLite)
- Network: Retrofit with WorkManager
- Real-time: WebSockets and Firebase Cloud Messaging
- Background: Background sync and JobScheduler
Unified Synchronization API
Cross-Platform Code:
// Same code works across all platforms
class DataManager {
async syncData(tableName, options = {}) {
try {
// Check connectivity
if (!AppStruct.isConnected()) {
return this.queueForLaterSync(tableName, options);
}
// Get local changes
const localChanges = await AppStruct.getLocalChanges(tableName);
// Upload local changes
const uploadResult = await AppStruct.uploadChanges(localChanges);
// Download remote changes
const remoteChanges = await AppStruct.downloadChanges(tableName, {
since: options.lastSyncTimestamp
});
// Apply remote changes locally
await AppStruct.applyChanges(remoteChanges);
// Update sync timestamp
await AppStruct.updateSyncTimestamp(tableName);
return { success: true, conflicts: uploadResult.conflicts };
} catch (error) {
console.error('Sync failed:', error);
throw error;
}
}
}
Platform Optimization
Network Efficiency:
- Compression: Gzip compression for data transfer
- Batching: Group multiple changes into single requests
- Delta Sync: Send only changed fields
- Binary Protocol: Efficient binary data transfer
Battery Optimization:
- Smart Scheduling: Sync during optimal times
- Adaptive Frequency: Adjust sync frequency based on usage
- Background Limits: Respect platform background restrictions
- Connection Awareness: Use WiFi when available
Performance Optimization
Sync Performance
Efficient Data Transfer:
// Configure compression and batching
AppStruct.configureSyncPerformance({
compression: 'gzip',
batchSize: 100,
maxConcurrentRequests: 3,
requestTimeout: 30000,
retryExponentialBackoff: true
});
Intelligent Prefetching:
// Prefetch related data
AppStruct.configurePrefetching('orders', {
includeRelated: ['customer', 'products'],
prefetchDepth: 2,
prefetchOnIdle: true
});
Caching Strategies:
// Configure caching for better performance
AppStruct.configureCaching({
strategy: 'LRU', // Least Recently Used
maxCacheSize: '50MB',
cacheExpiry: 3600000, // 1 hour
preloadCriticalData: true
});
Monitoring & Analytics
Sync Metrics:
// Track synchronization performance
const syncMetrics = AppStruct.getSyncMetrics();
console.log('Sync statistics:', {
lastSyncTime: syncMetrics.lastSyncTime,
totalRecordsSynced: syncMetrics.totalRecordsSynced,
averageSyncDuration: syncMetrics.averageSyncDuration,
conflictRate: syncMetrics.conflictRate,
errorRate: syncMetrics.errorRate
});
Performance Monitoring:
// Monitor sync performance
AppStruct.onSyncEvent((event) => {
switch (event.type) {
case 'sync_start':
console.log(`Starting sync for ${event.tableName}`);
break;
case 'sync_progress':
console.log(`Sync progress: ${event.progress}%`);
break;
case 'sync_complete':
console.log(`Sync completed in ${event.duration}ms`);
break;
case 'sync_error':
console.error(`Sync error: ${event.error}`);
break;
}
});
Security & Privacy
Secure Synchronization
Encryption in Transit:
- TLS 1.3: All data encrypted during transmission
- Certificate Pinning: Prevent man-in-the-middle attacks
- Perfect Forward Secrecy: Protect past communications
- Mutual Authentication: Verify both client and server
Encryption at Rest:
// Enable local data encryption
AppStruct.configureLocalEncryption({
enabled: true,
algorithm: 'AES-256-GCM',
keyDerivation: 'PBKDF2',
keyRotation: 'monthly'
});
Privacy Controls:
// Configure data privacy settings
AppStruct.configurePrivacy({
anonymizeBeforeSync: ['email', 'phone'],
excludeFromSync: ['password_hash', 'payment_info'],
encryptFields: ['ssn', 'medical_records'],
auditDataAccess: true
});
Access Control
Permission-Based Sync:
// Sync only data user has permission to access
AppStruct.configureSyncPermissions({
enforceRowLevelSecurity: true,
syncOnlyOwnedData: true,
respectFieldPermissions: true
});
Data Filtering:
// Filter data based on user context
AppStruct.configureSyncFilter('documents', (record, user) => {
// Only sync documents user has access to
return record.owner_id === user.id ||
record.shared_with.includes(user.id) ||
user.role === 'admin';
});
Advanced Synchronization Features
Multi-Master Synchronization
Distributed Synchronization:
- Multiple servers can accept writes
- Eventual consistency across all nodes
- Conflict resolution at the cluster level
- Automatic failover and recovery
Configuration:
// Configure multi-master setup
AppStruct.configureMultiMaster({
nodes: [
'https://us-east.appstruct.cloud',
'https://us-west.appstruct.cloud',
'https://eu-west.appstruct.cloud'
],
consistencyLevel: 'eventual',
conflictResolution: 'vector-clocks'
});
Custom Synchronization Hooks
Lifecycle Hooks:
// Implement custom sync logic
AppStruct.addSyncHooks({
beforeSync: async (tableName, changes) => {
// Pre-process data before sending to server
return validateChanges(changes);
},
afterSync: async (tableName, result) => {
// Post-process sync results
await updateLocalIndexes(tableName);
},
onConflict: async (conflict) => {
// Custom conflict resolution
return await resolveBusinessLogicConflict(conflict);
}
});
Sync Rules Engine
Conditional Synchronization:
// Define rules for when to sync
AppStruct.defineSyncRules({
'user_activity': {
when: 'user_active',
frequency: 'realtime',
condition: (data) => data.priority === 'high'
},
'analytics': {
when: 'wifi_available',
frequency: 'hourly',
batchSize: 1000
},
'preferences': {
when: 'always',
frequency: 'immediate',
conflictResolution: 'client-wins'
}
});