Performance Monitoring

Test different dataset sizes and monitor performance

Large Dataset Demo
Debug Info
Tree: performance-large-dataset Data: 419 Expand level: 1 Nodes: 0 Levels: 0 Dragging: none
Performance Controls
Metrics

Performance Metrics

Render Time: 0ms
Search Time: 0ms
Items: 419

Performance Impact

  • Expand Level: Higher = slower initial render
  • Batch Size: Smaller = smoother UI
  • Timeout: Higher = less blocking
  • Sorting: Complex sorts slow down rendering

Last Updated

Not yet

Optimization Techniques

Best practices for large datasets and smooth performance

Optimization Tips
Limit Expand Level
High Impact

Keep expandLevel low (1-2) for large datasets

expandLevel={1}
Optimize Batch Size
Medium Impact

Smaller batches for better responsiveness

indexerBatchSize={10}
Increase Timeout
Medium Impact

Higher timeout prevents UI blocking

indexerTimeout={100}
Minimize DOM Updates
High Impact

Use stable keys and avoid unnecessary re-renders

key={item.id}
Debounce Search
Medium Impact

Add delay to search input to reduce queries

debounce(search, 300)
Implementation
Performance Configuration 
 
 
Guidelines
 
Performance Guidelines
 
  • Small datasets (<100): All optimizations optional
    •  
  • Medium datasets (100-1000): Limit expand level, optimize
              batching
    •  
  • Large datasets (>1000): All optimizations recommended
    •  
  • Huge datasets (>10000): Consider virtual scrolling
 
Memory Management
 
  • Avoid deep object nesting in data
    •  
  • Use string IDs instead of numbers when possible
    •  
  • Clean up event listeners
    •  
  • Implement data pagination for huge datasets
 
Browser Limits
 
Most browsers handle 1000-5000 DOM nodes well. Beyond that, consider
            virtualization or pagination.
 
Performance Benchmarking
 
Measure and compare performance across different configurations
 
Benchmark Results
 
 
Expected Performance (Desktop)
 
Dataset SizeRender TimeSearch TimeMemory Usage
100 items< 10ms< 1ms~1MB
500 items< 50ms< 5ms~3MB
1000 items< 100ms< 10ms~5MB
5000 items< 500ms< 50ms~20MB
 Results may vary based on device performance and browser
 
Benchmark Code
 
Benchmarking Code 
 
 
 
Analysis
 
Benchmark Categories
 
  • Data Generation: Time to create dataset
    •  
  • Initial Render: First paint time
    •  
  • Search Performance: Query execution time
    •  
  • Memory Usage: Heap size consumption
 
Performance Targets
 
  • Initial render: < 100ms
    •  
  • Search queries: < 50ms
    •  
  • Interactions: < 16ms (60 FPS)
    •  
  • Memory growth: Linear with data size
 
Browser Tools
 
Use browser DevTools Performance tab to profile real-world usage
            patterns.
 
Next Steps
 
📊
 
Data Structure
 
Optimize your data for better performance
 Data Guide
 
🔍
 
Search Optimization
 
Advanced search and filtering techniques
 Search Examples
 
📚
 
API Reference
 
Complete component documentation
 API Docs