Batch Processing
Overview
Batch processing allows you to handle large volumes of documents efficiently, reducing processing time and system resource usage.
When to Use Batch Processing
- Processing 100+ documents
- Similar document types
- Overnight processing requirements
- Resource optimization needs
Setting Up Batch Jobs
Job Configuration
- Select Documents: Choose files for batch processing
- Processing Options: Configure OCR, classification, and analysis
- Priority Settings: Set job priority levels
- Scheduling: Choose immediate or scheduled processing
Processing Parameters
- Chunk Size: Number of documents per processing batch
- Parallel Workers: Simultaneous processing threads
- Memory Allocation: RAM assigned to batch job
- Timeout Settings: Maximum processing time per document
Monitoring and Management
Job Status Tracking
Monitor batch jobs through:
- Real-time progress indicators
- Processing statistics
- Error logs and reports
- Completion notifications
Queue Management
- View pending jobs
- Modify job priorities
- Cancel or pause processing
- Restart failed jobs
Optimization Strategies
Resource Management
- Schedule during off-peak hours
- Balance CPU and memory usage
- Optimize network bandwidth
- Monitor storage capacity
Performance Tuning
- Adjust batch sizes based on document complexity
- Configure optimal worker thread counts
- Implement checkpointing for large jobs
- Use compression for network transfers
Error Handling
- Automatic retry mechanisms
- Failed document isolation
- Error categorization and reporting
- Manual intervention workflows
Best Practices
- Test with small batches first
- Monitor system resources during processing
- Implement proper backup procedures
- Keep detailed processing logs