Delta Sync Architecture via MQTT

📋 Overview

Implementasi Hybrid Sync Strategy yang menggabungkan:

Polling-based Sync - Full refresh setiap 5 menit untuk fallback
Delta Sync via MQTT - Real-time updates untuk perubahan incremental

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                    MStore Mobile App                         │
│                                                              │
│  ┌──────────────────────────────────────────────────────┐  │
│  │           OfflineSyncService (Polling)               │  │
│  │  • Full refresh every 5 minutes                      │  │
│  │  • Fallback when MQTT unavailable                    │  │
│  │  • Initial data load                                 │  │
│  └──────────────────────────────────────────────────────┘  │
│                           ↓                                  │
│  ┌──────────────────────────────────────────────────────┐  │
│  │           DeltaSyncService (MQTT)                    │  │
│  │  • Real-time delta updates                           │  │
│  │  • Product stock changes                             │  │
│  │  • Inventory quantity changes                        │  │
│  │  • Transaction notifications                         │  │
│  └──────────────────────────────────────────────────────┘  │
│                           ↓                                  │
│  ┌──────────────────────────────────────────────────────┐  │
│  │              Local Isar Database                     │  │
│  │  • ProductEntity                                     │  │
│  │  • InventoryEntity                                   │  │
│  │  • TransactionLocalEntity                            │  │
│  └──────────────────────────────────────────────────────┘  │
└─────────────────────────────────────────────────────────────┘
                           ↑
                           │ MQTT v5
                           │
┌─────────────────────────────────────────────────────────────┐
│                    MQTT Broker (EMQX)                        │
│                                                              │
│  Topics:                                                     │
│  • {env}/{merchant}/{branch}/product/updates                │
│  • {env}/{merchant}/{branch}/inventory/updates              │
│  • {env}/{merchant}/{branch}/transaction/updates            │
└─────────────────────────────────────────────────────────────┘
                           ↑
                           │ Publish
                           │
┌─────────────────────────────────────────────────────────────┐
│                    MStore Backend                            │
│                                                              │
│  Event Triggers:                                             │
│  • Product stock updated → Publish delta                     │
│  • Inventory quantity changed → Publish delta                │
│  • Transaction created/updated → Publish notification        │
└─────────────────────────────────────────────────────────────┘

📡 MQTT Topics & Payloads

1. Product Stock Updates

Topic Pattern:

{env}/{merchant_code}/{branch_code}/product/updates

Example:

dev/MCH-MST-001/BRN-MST-OSK00001/product/updates

Payload Format:

{
  "event_type": "stock_updated",
  "timestamp": "2025-10-14T21:30:00Z",
  "data": {
    "product_id": 1386,
    "product_name": "Chicken Breast sadia 2 kg",
    "old_stock": 100,
    "new_stock": 99,
    "delta": -1,
    "reason": "transaction",
    "transaction_id": 12345,
    "updated_by": "user_5"
  }
}

2. Inventory Quantity Updates

Topic Pattern:

{env}/{merchant_code}/{branch_code}/inventory/updates

Example:

dev/MCH-MST-001/BRN-MST-OSK00001/inventory/updates

Payload Format:

{
  "event_type": "quantity_updated",
  "timestamp": "2025-10-14T21:30:00Z",
  "data": {
    "inventory_id": 6486,
    "product_id": 1386,
    "product_name": "Chicken Breast sadia 2 kg",
    "old_quantity": 100,
    "new_quantity": 99,
    "delta": -1,
    "reason": "transaction",
    "transaction_id": 12345,
    "updated_by": "user_5"
  }
}

3. Transaction Notifications

Topic Pattern:

{env}/{merchant_code}/{branch_code}/transaction/updates

Example:

dev/MCH-MST-001/BRN-MST-OSK00001/transaction/updates

Payload Format:

{
  "event_type": "transaction_created",
  "timestamp": "2025-10-14T21:30:00Z",
  "data": {
    "transaction_id": 12345,
    "transaction_code": "TRX-20251014-001",
    "offline_id": "56752b9f-3cb4-4b29-8512-ce3e0112c527",
    "status": "paid",
    "grand_total": 16800.0,
    "created_by": "user_5",
    "device_id": "DEV-DBBA60CF",
    "items": [
      {
        "product_id": 1386,
        "quantity": 1,
        "price": 15000
      }
    ]
  }
}

🔄 Sync Flow

Initial Load (App Start)

App starts
OfflineSyncService triggers full refresh
   → GET /api/v1/master/product
   → GET /api/v1/master/inventory
Data saved to Isar
MQTT connects and subscribes to delta topics
DeltaSyncService ready to receive updates

Real-time Update (Delta Sync)

Backend detects change (e.g., stock reduced)
Backend publishes to MQTT topic
Mobile receives MQTT message
DeltaSyncService parses payload
Update local Isar database (delta only)
Trigger UI refresh via BLoC event
User sees updated stock immediately

Fallback (Polling)

Every 5 minutes OR app resume
OfflineSyncService checks TTL
If stale → Full refresh from API
Merge with local changes
Resolve conflicts (server wins)

🛠️ Backend Implementation Requirements

1. Database Triggers (PostgreSQL Example)

-- Product stock update trigger
CREATE OR REPLACE FUNCTION notify_product_stock_change()
RETURNS TRIGGER AS $$
DECLARE
  payload JSON;
BEGIN
  IF OLD.stock IS DISTINCT FROM NEW.stock THEN
    payload := json_build_object(
      'event_type', 'stock_updated',
      'timestamp', NOW(),
      'data', json_build_object(
        'product_id', NEW.id,
        'product_name', NEW.name,
        'old_stock', OLD.stock,
        'new_stock', NEW.stock,
        'delta', NEW.stock - OLD.stock,
        'updated_by', current_user
      )
    );
    
    -- Publish to MQTT via pg_notify or external service
    PERFORM pg_notify(
      'product_updates',
      payload::text
    );
  END IF;
  
  RETURN NEW;
END;
$$ LANGUAGE plpgsql;

CREATE TRIGGER product_stock_change_trigger
AFTER UPDATE ON products
FOR EACH ROW
EXECUTE FUNCTION notify_product_stock_change();

2. MQTT Publisher Service (Go/Node.js)

// Go example
package mqtt

import (
    mqtt "github.com/eclipse/paho.mqtt.golang"
    "encoding/json"
)

type ProductUpdateEvent struct {
    EventType string    `json:"event_type"`
    Timestamp time.Time `json:"timestamp"`
    Data      struct {
        ProductID   int     `json:"product_id"`
        ProductName string  `json:"product_name"`
        OldStock    int     `json:"old_stock"`
        NewStock    int     `json:"new_stock"`
        Delta       int     `json:"delta"`
        Reason      string  `json:"reason"`
    } `json:"data"`
}

func PublishProductUpdate(client mqtt.Client, event ProductUpdateEvent) error {
    topic := fmt.Sprintf("%s/%s/%s/product/updates",
        os.Getenv("APP_ENV"),
        event.MerchantCode,
        event.BranchCode,
    )
    
    payload, err := json.Marshal(event)
    if err != nil {
        return err
    }
    
    token := client.Publish(topic, 1, false, payload)
    token.Wait()
    return token.Error()
}

3. REST API Endpoints (Fallback)

Tetap pertahankan existing endpoints untuk polling:

GET /api/v1/master/product?branch_code={code}&limit=200&last_id=0
GET /api/v1/master/inventory?branch_code={code}&limit=200&last_id=0
GET /api/v1/transaction?limit=10

📊 Conflict Resolution Strategy

Priority Rules:

Server Always Wins - Untuk master data (product, inventory)
Offline-First - Untuk transaction (queue dan sync later)
Last-Write-Wins - Untuk config/settings

Example Conflict:

Scenario:
- Device A: Stock = 100, reduces to 99 (offline)
- Device B: Stock = 100, reduces to 98 (online, triggers MQTT)
- Device A comes online

Resolution:
1. Device A receives MQTT update: stock = 98
2. Device A has local pending: stock = 99
3. Apply server value: stock = 98 (server wins)
4. Re-calculate local transaction impact if needed

🔐 Security Considerations

MQTT Authentication:

// Use per-device credentials
final connMessage = MqttConnectMessage()
    .authenticateAs(
      deviceId,           // username
      deviceSecretToken   // password from backend
    )

Topic ACL (EMQX Config):

# Allow device to subscribe only to its branch
{allow, {user, "DEV-DBBA60CF"}, subscribe, ["dev/+/BRN-MST-OSK00001/#"]}.

# Deny publish to update topics (only backend can publish)
{deny, all, publish, ["+/+/+/product/updates"]}.
{deny, all, publish, ["+/+/+/inventory/updates"]}.
{deny, all, publish, ["+/+/+/transaction/updates"]}.

📈 Performance Metrics

Expected Improvements:

Latency: 5 min → < 1 sec (300x faster)
Bandwidth: 200 KB/5min → ~1 KB/update (200x reduction)
Battery: Minimal impact (MQTT keep-alive 60s)
Data Freshness: 99.9% real-time

Monitoring:

// Track delta sync performance
AppLog.i('delta_sync', 'Update applied', meta: {
  'event_type': 'stock_updated',
  'product_id': 1386,
  'latency_ms': receivedAt - publishedAt,
  'payload_size': payloadBytes,
});

🧪 Testing Strategy

Unit Tests:

test('DeltaSyncService handles product update', () async {
  final payload = {
    'event_type': 'stock_updated',
    'data': {'product_id': 1386, 'new_stock': 99}
  };
  
  await deltaSyncService.handleProductUpdate(payload);
  
  final product = await isar.productEntitys
      .filter()
      .apiIdEqualTo('1386')
      .findFirst();
  
  expect(product.stock, 99);
});

Integration Tests:

Publish test message to MQTT
Verify mobile receives and processes
Check Isar database updated
Verify UI reflects change

Load Tests:

100 concurrent updates/sec
Verify no message loss
Check memory/CPU usage

🚀 Deployment Checklist

Backend:

Setup MQTT broker (EMQX/Mosquitto)
Configure ACL rules
Implement database triggers
Deploy MQTT publisher service
Setup monitoring (Prometheus/Grafana)

Mobile:

Implement DeltaSyncService
Update MqttBloc subscriptions
Add conflict resolution logic
Update UI to handle real-time updates
Test offline → online scenarios

DevOps:

MQTT broker high availability
SSL/TLS certificates
Firewall rules (port 1883/8883)
Backup & disaster recovery

📚 References

Last Updated: 2025-10-14
Version: 1.0.0
Author: MStore Development Team

Business Features

Offline-First Architecture

Real-time Sync

Delta sync architecture

Delta Sync Architecture via MQTT

📋 Overview

🏗️ Architecture

📡 MQTT Topics & Payloads

1. Product Stock Updates

2. Inventory Quantity Updates

3. Transaction Notifications

🔄 Sync Flow

Initial Load (App Start)

Real-time Update (Delta Sync)

Fallback (Polling)

🛠️ Backend Implementation Requirements

1. Database Triggers (PostgreSQL Example)

2. MQTT Publisher Service (Go/Node.js)

3. REST API Endpoints (Fallback)

📊 Conflict Resolution Strategy

Priority Rules:

Example Conflict:

🔐 Security Considerations

MQTT Authentication:

Topic ACL (EMQX Config):

📈 Performance Metrics

Expected Improvements:

Monitoring:

🧪 Testing Strategy

Unit Tests:

Integration Tests:

Load Tests:

🚀 Deployment Checklist

Backend:

Mobile:

DevOps:

📚 References

Business Features

Offline-First Architecture

Real-time Sync

​Delta Sync Architecture via MQTT

​📋 Overview

​🏗️ Architecture

​📡 MQTT Topics & Payloads

​1. Product Stock Updates

​2. Inventory Quantity Updates

​3. Transaction Notifications

​🔄 Sync Flow

​Initial Load (App Start)

​Real-time Update (Delta Sync)

​Fallback (Polling)

​🛠️ Backend Implementation Requirements

​1. Database Triggers (PostgreSQL Example)

​2. MQTT Publisher Service (Go/Node.js)

​3. REST API Endpoints (Fallback)

​📊 Conflict Resolution Strategy

​Priority Rules:

​Example Conflict:

​🔐 Security Considerations

​MQTT Authentication:

​Topic ACL (EMQX Config):

​📈 Performance Metrics

​Expected Improvements:

​Monitoring:

​🧪 Testing Strategy

​Unit Tests:

​Integration Tests:

​Load Tests:

​🚀 Deployment Checklist

​Backend:

​Mobile:

​DevOps:

​📚 References

Delta Sync Architecture via MQTT

📋 Overview

🏗️ Architecture

📡 MQTT Topics & Payloads

1. Product Stock Updates

2. Inventory Quantity Updates

3. Transaction Notifications

🔄 Sync Flow

Initial Load (App Start)

Real-time Update (Delta Sync)

Fallback (Polling)

🛠️ Backend Implementation Requirements

1. Database Triggers (PostgreSQL Example)

2. MQTT Publisher Service (Go/Node.js)

3. REST API Endpoints (Fallback)

📊 Conflict Resolution Strategy

Priority Rules:

Example Conflict:

🔐 Security Considerations

MQTT Authentication:

Topic ACL (EMQX Config):

📈 Performance Metrics

Expected Improvements:

Monitoring:

🧪 Testing Strategy

Unit Tests:

Integration Tests:

Load Tests:

🚀 Deployment Checklist

Backend:

Mobile:

DevOps:

📚 References