Scheduled Batch Processing

Scheduled Batch Processing

The faizanGeek/ClaimProcessingSystem leverages Spring's powerful scheduling capabilities to automate critical background tasks, ensuring efficient and timely processing of claims. These scheduled batch jobs perform routine maintenance and status updates without requiring manual intervention.

Overview of Scheduled Operations

The system enables scheduled tasks through the @EnableScheduling annotation in the ProcessingApplication. This allows the application to detect and run methods annotated with @Scheduled at predefined intervals.

Currently, the primary scheduled operation is the hourly processing of pending claims.

Hourly Claim Processing

A crucial automated task within the Claim Processing System is the hourly batch job dedicated to processing claims that require attention.

Purpose: This job automatically identifies claims that are in a 'Pending' status and haven't been updated for a significant period (e.g., longer than 24 hours), then initiates their processing to an 'Approved' or 'Processed' state based on internal logic. This helps in reducing backlogs and ensuring claims move through the workflow efficiently.

Schedule: The claim processing batch runs every hour on the hour.

The schedule is defined using a standard cron expression: 0 0 * * * *.

Operation Details:

1. Identification: The system queries for claims marked as 'Pending' that meet specific criteria (e.g., have not been updated in the last 24 hours).
2. Status Update: For each identified claim, the system updates its status. While the specific logic for determining the new status can be complex, for simplification, it updates the status to "Processed".
3. Caching: The new claim status is immediately updated in the Redis cache to ensure front-end applications and other services retrieve the most current information.
4. Notifications: A Kafka message is published for each updated claim, notifying other interested services (e.g., a notification service that sends emails) about the status change. This ensures real-time communication regarding claim progression.

Service Involved: The ClaimBatchService contains the logic for this hourly processing. It utilizes the ClaimService to find and update claims, ensuring business rules and associated side effects (like caching and notifications) are consistently applied.

// Excerpt from src/main/java/com/claim/demo/service/ClaimBatchService.java
@Service
public class ClaimBatchService {

    // ... (dependencies)

    @Scheduled(cron = "0 0 * * * *") // Runs every hour on the hour
    public void processPendingClaims() {
        List<Claim> claims = claimService.findClaimsNeedingUpdate(); // Fetch claims needing processing

        for (Claim claim : claims) {
            try {
                // Simplified logic to determine new status
                String newStatus = "Processed"; 
                claimService.updateClaimStatus(claim.getClaimId(), newStatus, claim.getEmailId());
                System.out.println("Processed claim ID: " + claim.getClaimId() + ", new status: " + newStatus);
            } catch (Exception e) {
                System.out.println("Error processing claim ID: " + claim.getClaimId() + " with error: " + e.getMessage());
            }
        }
    }
}

Monitoring and Troubleshooting: Execution of the processPendingClaims task, along with any errors encountered during individual claim processing, is logged. Administrators can monitor application logs for messages from ClaimBatchService and ClaimService to track the progress and identify any issues with the batch job.

Future Enhancements

The scheduled processing framework is extensible. New batch jobs can be added to handle other automated operations, such as:

• Generating daily/weekly reports.
• Archiving old claim data.
• Sending reminder notifications for claims awaiting further action.

This modular approach ensures that the system can scale and adapt to evolving business requirements for automated tasks.