Database Processor Service

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Deployment Configuration

apiVersion: apps/v1
kind: Deployment
metadata:
  name: exchange-db-processor-deployment
spec:
  replicas: 1
  selector:
    matchLabels:
      app: exchange-db-processor
  template:
    metadata:
      labels:
        app: exchange-db-processor
    spec:
      containers:
        - name: exchange-db-processor
          image: jogeshwar01/exchange-db-processor:ed9f044dc79ee713da9518648524e0c68a70ddf7
          env:
            - name: DATABASE_URL
              valueFrom:
                configMapKeyRef:
                  name: exchange-db-processor-config
                  key: database_url
            - name: REDIS_URL
              valueFrom:
                configMapKeyRef:
                  name: exchange-db-processor-config
                  key: redis_url

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ConfigMap

apiVersion: v1
kind: ConfigMap
metadata:
  name: exchange-db-processor-config
data:
  database_url: "postgres://root:[email protected]:80/exchange-db"
  redis_url: "redis://exchange-redis-service.default.svc.cluster.local:80"

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Environment Variables

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Service Details

• Replicas: 1
• Image: jogeshwar01/exchange-db-processor:ed9f044dc79ee713da9518648524e0c68a70ddf7
• Service Type: None (background processor)

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Dependencies

• PostgreSQL: For data persistence and queries
• Redis: For message queue consumption and caching
• exchange-postgres-service: Database service endpoint
• exchange-redis-service: Cache service endpoint

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Functionality

• Asynchronous Processing: Handling database operations off the critical path
• Event Processing: Consuming events from Redis queues
• Data Aggregation: Computing aggregated metrics and statistics
• Batch Operations: Processing bulk database updates efficiently

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Architecture Notes

• Consumes messages from Redis queues
• Performs database operations asynchronously
• Reduces load on the main backend service
• Enables scalable, decoupled data processing

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Use Cases

• Trade history aggregation
• User balance calculations
• Market data snapshots
• Audit log processing
• Analytics data preparation