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.
-
File Analysis
- Analyze file size and type
- Calculate initial network speed
-
Chunk Creation
- Determine optimal chunk size using
calculateOptimalChunkSize
function - Consider edge worker memory constraints and network conditions
- Determine optimal chunk size using
-
Parallel Processing
- Upload chunks in parallel using adaptive batch sizes
- Dynamically adjust concurrency based on network speed
-
Progress Tracking
- Update upload progress with rate limiting
- Store metadata in Upstash Redis for resumability
-
Completion and Verification
- Verify all parts are uploaded correctly
- Complete multipart upload on S3
Best Practices
-
Optimal Chunk Size Selection
- Let Tusflow handle dynamic sizing
- Monitor and adjust
CHUNK_SIZE
configuration if needed
-
Parallel Upload Configuration
- Start with default
MAX_CONCURRENT
andBATCH_SIZE
values - Adjust based on your specific use case and performance requirements
- Start with default
-
Error Handling
- Implement client-side retry logic
- Utilize Tusflow's built-in circuit breaker for failure management
-
Resource Management
- Monitor edge worker memory usage
- Implement proper cleanup for incomplete uploads
Code Examples
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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