Tusflow

Chunk Management

Learn how Tusflow optimizes large file uploads through intelligent chunking and parallel processing

Overview

Tusflow implements advanced chunk management to handle large file uploads efficiently and reliably, leveraging edge computing capabilities and dynamic optimization.

Tusflow automatically adjusts chunk sizes based on network conditions, file characteristics, and edge worker constraints, with sizes ranging from 5MB to 50MB.

Key Components

Dynamic Chunk Sizing

Optimizes chunk size based on network speed, file size, and edge worker memory constraints.

Parallel Processing

Uploads multiple chunks simultaneously to maximize throughput while maintaining stability.

Adaptive Batching

Adjusts the number of concurrent uploads based on network conditions.

Checksum Verification

Ensures data integrity through MD5, SHA1, SHA256, or SHA512 checksums.

Features

Intelligent Chunk Sizing

  • Considers network speed, file size, and edge worker memory limits
  • Dynamically adjusts between 5MB and 50MB
  • Ensures optimal upload performance and resource utilization

Parallel Upload Management

  • Concurrent chunk uploads (up to 10 simultaneous uploads)
  • Adaptive batch sizing based on network conditions
  • Progress tracking per chunk with rate-limited updates

Error Handling and Recovery

  • Automatic retries with exponential backoff
  • Partial upload recovery
  • Circuit breaker implementation for failure management

Performance Optimization

  • Exponential moving average for network speed calculation
  • Memory-aware chunk processing
  • Efficient use of edge worker resources

How It Works

Understanding the chunk management process is crucial for optimizing your application's upload performance and reliability.

  1. File Analysis

    • Analyze file size and type
    • Calculate initial network speed
  2. Chunk Creation

    • Determine optimal chunk size using calculateOptimalChunkSize function
    • Consider edge worker memory constraints and network conditions
  3. Parallel Processing

    • Upload chunks in parallel using adaptive batch sizes
    • Dynamically adjust concurrency based on network speed
  4. Progress Tracking

    • Update upload progress with rate limiting
    • Store metadata in Upstash Redis for resumability
  5. Completion and Verification

    • Verify all parts are uploaded correctly
    • Complete multipart upload on S3

Best Practices

  1. Optimal Chunk Size Selection

    • Let Tusflow handle dynamic sizing
    • Monitor and adjust CHUNK_SIZE configuration if needed
  2. Parallel Upload Configuration

    • Start with default MAX_CONCURRENT and BATCH_SIZE values
    • Adjust based on your specific use case and performance requirements
  3. Error Handling

    • Implement client-side retry logic
    • Utilize Tusflow's built-in circuit breaker for failure management
  4. Resource Management

    • Monitor edge worker memory usage
    • Implement proper cleanup for incomplete uploads

Code Examples

function calculateOptimalChunkSize(totalSize: number, networkSpeed: number): number {
  const { MIN, MAX } = UPLOAD_CONFIG.CHUNK_SIZE;
  const memoryBasedMax = Math.floor(WORKER_CONSTRAINTS.CHUNK_MEMORY_LIMIT / WORKER_CONSTRAINTS.NETWORK_OVERHEAD);
  const optimalSize = Math.min(networkSpeed * 2, MAX, memoryBasedMax);
  const minRequiredSize = Math.ceil(totalSize / UPLOAD_CONFIG.UPLOAD.MAX_PARTS);
  return Math.max(Math.min(optimalSize, MAX), MIN, minRequiredSize);
}

By leveraging intelligent chunk management, parallel processing, and adaptive optimization, Tusflow provides a powerful and flexible upload solution that can handle large files, network fluctuations, and high concurrency with ease.

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