Batch Processing Guide

Batch Processing Guide

VoP’s batch processing system is designed to handle large-scale payment verification requests efficiently, supporting up to 250,000 records per batch while maintaining SEPA compliance and security standards.

Processing Overview

Batch Types

• Standard Verification: Up to 50,000 records
• Large-Scale Verification: 50,000 - 250,000 records
• Priority Processing: Critical verifications with expedited processing

Processing Stages

1. Submission: Initial batch upload and validation
2. Processing: Multi-threaded verification processing
3. Results: Staged result delivery and retrieval

Batch Submission

Large Dataset Handling

POST /api/v1/verifications/batch
Content-Type: application/json

{
  "batchReference": "BANK_REF_20241220",
  "priority": "standard",
  "notifications": {
    "callbackUrl": "https://your-callback-url/batch-complete",
    "emailNotification": "operations@yourbank.com"
  },
  "verificationRequests": [
    {
      "requestId": "REQ_001",
      "iban": "DE89370400440532013000",
      "accountName": "Max Mustermann",
      "correlationId": "PAYMENT_001"
    }
    // ... more verification requests
  ]
}

Processing Time Guidelines

Batch Size	Typical Processing Time	Max Processing Time
< 10,000	5-10 minutes	15 minutes
10,000 - 50,000	15-30 minutes	45 minutes
50,000 - 250,000	30-90 minutes	120 minutes

Optimized Processing Strategies

Chunked Processing

For large batches (>50,000 records):

1. Split into 25,000 record chunks
2. Parallel processing of chunks
3. Automatic rate limiting per chunk
4. Results aggregation

def process_large_batch(records, chunk_size=25000):
    chunks = split_into_chunks(records, chunk_size)
    chunk_results = []

    for chunk in chunks:
        chunk_id = submit_chunk(chunk)
        monitor_chunk_progress(chunk_id)
        chunk_results.append(get_chunk_results(chunk_id))

    return aggregate_results(chunk_results)

Result Retrieval Methods

1. Webhook Notifications

   • Immediate notification when chunk is complete
   • Results ready for retrieval
   • Includes processing statistics

2. Polling with Exponential Backoff

   def poll_results(batch_id, max_attempts=10):
       wait_time = initial_wait
       for attempt in range(max_attempts):
           status = check_batch_status(batch_id)
           if status.is_complete:
               return fetch_results(batch_id)
           wait_time = min(wait_time * 2, max_wait)
           time.sleep(wait_time)

3. Staged Result Retrieval

   • Results available in chunks of 10,000
   • Paginated retrieval
   • Cursor-based continuation

Performance Optimization

Parallel Processing

async def process_verification_batch(records):
    chunks = create_optimal_chunks(records)
    async with aiohttp.ClientSession() as session:
        tasks = [process_chunk(chunk, session) for chunk in chunks]
        results = await asyncio.gather(*tasks)
    return combine_results(results)

Memory Management

• Streaming upload for large files
• Chunked result processing
• Efficient data structures

Error Handling

Batch Level

• Invalid format
• Authentication issues
• Quota exceeded

Record Level

• Invalid IBAN
• Missing required fields
• Verification service unavailable

Recovery Procedures

1. Log error details
2. Retry failed records
3. Generate error report
4. Notify administrators

Monitoring and Reporting

Real-time Metrics

• Processing speed
• Success/failure rates
• Queue depth
• Resource utilization

Compliance Tracking

• Audit logs
• Processing timestamps
• Security events
• SEPA compliance checks

Best Practices

1. Pre-processing Validation

   • Validate IBAN format
   • Check required fields
   • Remove duplicates

2. Optimal Batch Sizes

   • Standard hours: 25,000 records
   • Off-peak hours: 50,000 records
   • Consider time sensitivity

3. Resource Management

   • Monitor memory usage
   • Track processing time
   • Handle timeouts appropriately

4. Result Handling

   • Implement robust error handling
   • Store results securely
   • Maintain audit trail

Security Considerations

• End-to-end encryption
• Secure file transfer
• Access control
• Audit logging

Support and Maintenance

Contact Points

• Technical support
• Emergency processing
• Capacity planning

Documentation

• Processing logs
• Audit trails
• Performance reports