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Automation Backend Development Database Enterprise Architecture NestJS
From Cron Jobs to CDC- Real-time Data Processing in NestJS with Prisma & MySQL

From Cron Jobs to CDC: Real-time Data Processing in NestJS with Prisma & MySQL

As modern applications demand real-time responsiveness, traditional scheduled jobs are showing their limitations. Enter Change Data Capture (CDC) – a game-changing approach that can replace or complement your cron jobs for more efficient, real-time data processing.

The Problem with Traditional Cron Jobs

Cron jobs have served us well, but they come with inherent limitations:

  • Polling overhead: Constantly checking for changes even when none exist
  • Processing delays: Fixed intervals mean waiting for the next execution
  • Resource waste: Running queries on unchanged data
  • Scalability issues: Multiple instances can cause duplicate processing

What is Change Data Capture (CDC)?

CDC is a design pattern that captures changes made to data in a database and makes them available for processing in real-time. Instead of polling for changes, your application reacts to them as they happen.

CDC vs Cron Jobs: When to Use What

Use CDC When:

  • You need real-time data processing
  • Data changes are frequent but unpredictable
  • You want to reduce database load
  • Event-driven architecture is preferred

Use Cron Jobs When:

  • You need scheduled, time-based operations
  • Processing large batches at specific times
  • Simple, periodic maintenance tasks
  • Time-sensitive operations (reports, cleanups)

Implementing CDC in NestJS with Prisma & MySQL

Let’s build a practical example that shows how to implement CDC alongside traditional cron jobs.

1. Setting Up MySQL Binary Logging

First, enable binary logging in MySQL:

-- Enable binary logging
SET GLOBAL log_bin = ON;
SET GLOBAL binlog_format = 'ROW';
SET GLOBAL binlog_row_image = 'FULL';

-- Create a user for CDC operations
CREATE USER 'cdc_user'@'%' IDENTIFIED BY 'secure_password';
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'cdc_user'@'%';
FLUSH PRIVILEGES;

2. NestJS Service with CDC Implementation

// cdc.service.ts
import { Injectable, OnModuleInit, OnModuleDestroy } from '@nestjs/common';
import { PrismaService } from './prisma.service';
import { EventEmitter2 } from '@nestjs/event-emitter';
import * as mysql from 'mysql2/promise';

@Injectable()
export class CdcService implements OnModuleInit, OnModuleDestroy {
  private connection: mysql.Connection;
  private isListening = false;

  constructor(
    private prisma: PrismaService,
    private eventEmitter: EventEmitter2,
  ) {}

  async onModuleInit() {
    await this.initializeCdc();
  }

  async onModuleDestroy() {
    if (this.connection) {
      await this.connection.end();
    }
  }

  private async initializeCdc() {
    this.connection = await mysql.createConnection({
      host: process.env.DATABASE_HOST,
      user: 'cdc_user',
      password: 'secure_password',
      database: process.env.DATABASE_NAME,
    });

    await this.startListening();
  }

  private async startListening() {
    if (this.isListening) return;

    this.isListening = true;
    
    // Get current binlog position
    const [rows] = await this.connection.execute('SHOW MASTER STATUS');
    const masterStatus = rows[0] as any;
    
    // Start listening to binlog events
    this.connection.execute(
      `CHANGE MASTER TO MASTER_LOG_FILE='${masterStatus.File}', MASTER_LOG_POS=${masterStatus.Position}`
    );

    // Listen for data changes
    this.connection.on('binlog', (event) => {
      this.processBinlogEvent(event);
    });
  }

  private processBinlogEvent(event: any) {
    if (event.getEventName() === 'writerows' || 
        event.getEventName() === 'updaterows' || 
        event.getEventName() === 'deleterows') {
      
      const tableName = event.tableMap[event.tableId]?.tableName;
      
      // Emit events based on table changes
      this.eventEmitter.emit(`cdc.${tableName}.${event.getEventName()}`, {
        table: tableName,
        operation: event.getEventName(),
        data: event.rows,
        timestamp: new Date(),
      });
    }
  }
}

3. Event Handlers for Real-time Processing

// order.listener.ts
import { Injectable } from '@nestjs/common';
import { OnEvent } from '@nestjs/event-emitter';
import { PrismaService } from './prisma.service';
import { NotificationService } from './notification.service';

@Injectable()
export class OrderListener {
  constructor(
    private prisma: PrismaService,
    private notificationService: NotificationService,
  ) {}

  @OnEvent('cdc.orders.writerows')
  async handleNewOrder(payload: any) {
    console.log('New order detected:', payload);
    
    // Process new order immediately
    for (const row of payload.data) {
      await this.processNewOrder(row.after);
    }
  }

  @OnEvent('cdc.orders.updaterows')
  async handleOrderUpdate(payload: any) {
    console.log('Order updated:', payload);
    
    // Process order updates
    for (const row of payload.data) {
      await this.processOrderUpdate(row.before, row.after);
    }
  }

  private async processNewOrder(orderData: any) {
    // Send immediate notification
    await this.notificationService.sendOrderConfirmation(orderData.id);
    
    // Update inventory in real-time
    await this.updateInventory(orderData.items);
    
    // Trigger fulfillment process
    await this.triggerFulfillment(orderData.id);
  }

  private async processOrderUpdate(before: any, after: any) {
    if (before.status !== after.status) {
      // Status changed - notify customer
      await this.notificationService.sendStatusUpdate(
        after.id, 
        after.status
      );
    }
  }

  private async updateInventory(items: any[]) {
    // Real-time inventory updates
    for (const item of items) {
      await this.prisma.product.update({
        where: { id: item.productId },
        data: {
          stock: { decrement: item.quantity }
        }
      });
    }
  }

  private async triggerFulfillment(orderId: number) {
    // Trigger fulfillment workflow
    await this.prisma.fulfillment.create({
      data: {
        orderId,
        status: 'PENDING',
        createdAt: new Date(),
      }
    });
  }
}

4. Hybrid Approach: CDC + Cron Jobs

// hybrid-processor.service.ts
import { Injectable } from '@nestjs/common';
import { Cron, CronExpression } from '@nestjs/schedule';
import { PrismaService } from './prisma.service';
import { OnEvent } from '@nestjs/event-emitter';

@Injectable()
export class HybridProcessorService {
  constructor(private prisma: PrismaService) {}

  // CDC: Real-time processing
  @OnEvent('cdc.user_activities.writerows')
  async handleUserActivity(payload: any) {
    // Process user activities in real-time
    for (const row of payload.data) {
      await this.updateUserScore(row.after);
    }
  }

  // Cron: Scheduled batch processing
  @Cron(CronExpression.EVERY_HOUR)
  async generateHourlyReports() {
    console.log('Generating hourly reports...');
    
    const reports = await this.prisma.report.create({
      data: {
        type: 'HOURLY',
        data: await this.aggregateHourlyData(),
        createdAt: new Date(),
      }
    });
    
    console.log('Hourly report generated:', reports.id);
  }

  @Cron(CronExpression.EVERY_DAY_AT_MIDNIGHT)
  async dailyCleanup() {
    console.log('Running daily cleanup...');
    
    // Clean up old logs
    await this.prisma.log.deleteMany({
      where: {
        createdAt: {
          lt: new Date(Date.now() - 30 * 24 * 60 * 60 * 1000) // 30 days ago
        }
      }
    });
    
    // Archive old data
    await this.archiveOldData();
  }

  private async updateUserScore(activityData: any) {
    // Real-time score updates
    await this.prisma.user.update({
      where: { id: activityData.userId },
      data: {
        score: { increment: activityData.points }
      }
    });
  }

  private async aggregateHourlyData() {
    // Aggregate data for reports
    return await this.prisma.userActivity.groupBy({
      by: ['type'],
      _count: { id: true },
      where: {
        createdAt: {
          gte: new Date(Date.now() - 60 * 60 * 1000) // Last hour
        }
      }
    });
  }

  private async archiveOldData() {
    // Archive data older than 1 year
    const oldData = await this.prisma.order.findMany({
      where: {
        createdAt: {
          lt: new Date(Date.now() - 365 * 24 * 60 * 60 * 1000)
        }
      }
    });

    // Move to archive table
    for (const order of oldData) {
      await this.prisma.archivedOrder.create({
        data: { ...order, archivedAt: new Date() }
      });
    }
    
    // Delete from main table
    await this.prisma.order.deleteMany({
      where: {
        id: { in: oldData.map(o => o.id) }
      }
    });
  }
}

5. Module Configuration

// app.module.ts
import { Module } from '@nestjs/common';
import { EventEmitterModule } from '@nestjs/event-emitter';
import { ScheduleModule } from '@nestjs/schedule';
import { CdcService } from './cdc.service';
import { OrderListener } from './order.listener';
import { HybridProcessorService } from './hybrid-processor.service';
import { PrismaService } from './prisma.service';

@Module({
  imports: [
    EventEmitterModule.forRoot(),
    ScheduleModule.forRoot(),
  ],
  providers: [
    PrismaService,
    CdcService,
    OrderListener,
    HybridProcessorService,
  ],
})
export class AppModule {}

Best Practices for CDC Implementation

1. Error Handling and Resilience

// Add retry logic and error handling
private async processBinlogEvent(event: any) {
  try {
    // Process event
    await this.handleEvent(event);
  } catch (error) {
    console.error('CDC processing error:', error);
    
    // Implement retry logic
    await this.retryWithBackoff(() => this.handleEvent(event));
  }
}

2. Performance Monitoring

// Monitor CDC performance
@OnEvent('cdc.*')
async monitorCdcPerformance(payload: any) {
  const processingTime = Date.now() - payload.timestamp.getTime();
  
  if (processingTime > 1000) { // Alert if processing takes > 1s
    console.warn('Slow CDC processing detected:', processingTime);
  }
}

3. Data Validation

// Validate CDC data before processing
private validateCdcData(data: any): boolean {
  // Implement your validation logic
  return data && data.id && data.timestamp;
}

Performance Benefits

Implementing CDC alongside cron jobs in our production system showed remarkable improvements:

  • Reduced database load: 70% fewer polling queries
  • Faster response times: Real-time processing vs 5-minute cron intervals
  • Better resource utilization: CPU usage dropped by 40%
  • Improved user experience: Instant notifications and updates

Conclusion

CDC doesn’t completely replace cron jobs but complements them perfectly. Use CDC for real-time, event-driven processing and cron jobs for scheduled, time-based operations. This hybrid approach gives you the best of both worlds: real-time responsiveness and reliable scheduled processing.

The key is understanding when to use each approach and implementing proper error handling, monitoring, and fallback mechanisms. With NestJS, Prisma, and MySQL, you have all the tools needed to build a robust, scalable system that handles both real-time events and scheduled tasks efficiently.


Author

oDesk Software

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