Performance Optimization

Overview

Optimization techniques and best practices for maximizing jpgx's performance in production environments.

Memory Optimization

Buffer Management

• Efficient buffer allocation and reuse
• Memory pooling for frequent operations
• Buffer size optimization strategies

Garbage Collection

• Minimizing object creation
• Proper cleanup of resources
• Memory leak prevention

Processing Optimization

Encoding Performance

// Example of optimized encoding
function optimizedEncode(data: any) {
  // Pre-allocate buffer if possible
  const buffer = Buffer.alloc(estimatedSize)

  // Use streaming for large datasets
  if (data.length > threshold) {
    return streamEncode(data)
  }

  return encode(data)
}

Decoding Performance

// Example of optimized decoding
function optimizedDecode(data: string) {
  // Validate input before processing
  if (!isValidInput(data)) {
    throw new Error('Invalid input')
  }

  // Use appropriate decoding strategy
  return isLargeData(data) ? streamDecode(data) : decode(data)
}

Resource Management

CPU Usage

• Multi-threading considerations
• CPU-intensive operation optimization
• Task scheduling strategies

Memory Usage

• Memory footprint reduction
• Efficient data structures
• Resource cleanup

Best Practices

1. Use appropriate data structures
2. Implement proper error handling
3. Consider using streaming for large datasets
4. Cache frequently used encoded/decoded data
5. Monitor memory usage during operations