Performance Tuning Guide¶

This guide covers advanced performance optimization techniques for Vexy SVGO, helping you achieve maximum throughput for your SVG optimization workflows.

Table of Contents¶

Overview
Performance Analysis
Configuration Optimization
Parallel Processing
Memory Optimization
Batch Processing
Plugin Selection
Platform Optimization
Monitoring and Profiling

Overview¶

Vexy SVGO is designed for high performance out of the box, but various configuration options and usage patterns can significantly impact performance. This guide helps you optimize for different scenarios.

Performance Targets¶

Scenario	Target Performance	Typical Hardware
Single small SVG (<1KB)	<1ms	Modern CPU
Single large SVG (100KB)	<10ms	Modern CPU
Batch processing (1000 files)	<500ms	Modern CPU, 8 cores
Large SVG (>1MB)	<100ms	Modern CPU, sufficient RAM
Streaming (very large files)	<memory limit	Any hardware

Performance Analysis¶

Built-in Benchmarking¶

# Basic performance measurement
vexy-svgo --benchmark input.svg

# Detailed timing breakdown
vexy-svgo --verbose --timing input.svg

# Memory usage tracking
vexy-svgo --memory-profile input.svg

# Compare plugin performance
vexy-svgo --plugin-timing input.svg

Performance Metrics¶

Vexy SVGO provides detailed performance metrics:

# Sample output
Optimization completed in 12.3ms
├─ Parsing: 2.1ms (17%)
├─ Plugin execution: 8.4ms (68%)
│  ├─ removeComments: 0.8ms
│  ├─ convertPathData: 4.2ms
│  └─ cleanupIds: 3.4ms
├─ Stringification: 1.5ms (12%)
└─ Memory usage: 4.2MB peak

Files processed: 1
Total size: 45KB → 32KB (28% reduction)
Throughput: 3.65 MB/s

Profiling Tools Integration¶

# CPU profiling (Linux/macOS)
perf record vexy-svgo large-file.svg
perf report

# Memory profiling with Valgrind
valgrind --tool=massif vexy-svgo large-file.svg

# Custom profiling (if compiled with profiling support)
vexy-svgo --profile=cpu input.svg

Configuration Optimization¶

Plugin Selection Strategy¶

For Maximum Speed (minimal processing):

module.exports = {
  plugins: [
    'removeDoctype',
    'removeComments',
    'removeMetadata',
    'removeTitle',
    'removeDesc',
    'removeEmptyAttrs'
  ]
};

For Balanced Performance (recommended):

module.exports = {
  plugins: [
    'removeDoctype',
    'removeComments', 
    'removeMetadata',
    'removeTitle',
    'removeDesc',
    'removeEmptyAttrs',
    'removeHiddenElems',
    'removeEmptyText',
    'removeEmptyContainers',
    'convertColors',
    'cleanupIds',
    'removeUselessStrokeAndFill'
  ]
};

For Maximum Optimization (slower but best results):

module.exports = {
  multipass: true,
  plugins: [
    // All available plugins with optimized parameters
    {
      name: 'convertPathData',
      params: {
        floatPrecision: 2,
        transformPrecision: 5,
        removeUseless: true,
        collapseRepeated: true,
        utilizeAbsolute: true
      }
    },
    // ... all other plugins
  ]
};

Multipass Optimization¶

// Single pass (faster)
module.exports = {
  multipass: false,
  plugins: ['removeComments', 'convertColors']
};

// Multiple passes (better optimization)
module.exports = {
  multipass: true,  // Usually 2-3 passes sufficient
  plugins: ['removeComments', 'convertColors', 'cleanupIds']
};

// Limited passes (balanced)
module.exports = {
  multipass: 2,  // Explicit pass limit
  plugins: ['removeComments', 'convertColors', 'cleanupIds']
};

Precision Settings¶

// High precision (slower, larger files)
module.exports = {
  plugins: [
    {
      name: 'convertPathData',
      params: {
        floatPrecision: 6,
        transformPrecision: 6
      }
    },
    {
      name: 'cleanupNumericValues',
      params: {
        floatPrecision: 6
      }
    }
  ]
};

// Optimized precision (faster, smaller files)
module.exports = {
  plugins: [
    {
      name: 'convertPathData',
      params: {
        floatPrecision: 2,
        transformPrecision: 3
      }
    },
    {
      name: 'cleanupNumericValues',
      params: {
        floatPrecision: 2
      }
    }
  ]
};

Parallel Processing¶

Automatic Parallel Configuration¶

# Auto-detect optimal thread count
vexy-svgo --parallel=auto *.svg

# Use specific thread count
vexy-svgo --parallel=8 *.svg

# Disable parallel processing
vexy-svgo --parallel=1 *.svg

Parallel Processing Thresholds¶

// Configuration for parallel processing
module.exports = {
  parallel: {
    // Enable parallel processing for files larger than 10KB
    sizeThreshold: 10240,

    // Enable parallel processing when processing more than 5 elements
    elementThreshold: 5,

    // Use specific thread count (0 = auto-detect)
    numThreads: 0
  },
  plugins: [
    // ... your plugins
  ]
};

Parallel Processing Guidelines¶

File Count	File Size	Recommended Threads	Expected Speedup
1-10	<1KB	1	1x (no benefit)
1-10	1-100KB	2-4	1.5-2x
10-100	<10KB	4-8	3-6x
100+	Any	8-16	6-12x
1000+	Any	16+	10-20x

# Optimal for different scenarios
vexy-svgo --parallel=1 single-large-file.svg         # Single large file
vexy-svgo --parallel=4 small-batch/*.svg             # Small batch
vexy-svgo --parallel=8 medium-batch/*.svg            # Medium batch  
vexy-svgo --parallel=16 large-batch/**/*.svg         # Large batch

Memory Optimization¶

Memory Limits¶

# Set memory limit (prevents OOM on large files)
vexy-svgo --memory-limit=1GB large-file.svg

# Enable streaming for very large files
vexy-svgo --streaming --memory-limit=512MB huge-file.svg

# Memory-efficient batch processing
vexy-svgo --memory-limit=2GB --parallel=4 --chunked=100 *.svg

Memory Usage Patterns¶

Operation	Memory Usage	Optimization
Parsing	2-5x file size	Use streaming parser
Plugin processing	1-3x file size	Process in chunks
Stringification	1-2x file size	Stream output
Parallel processing	N × single thread	Limit thread count

Memory Configuration¶

module.exports = {
  memory: {
    // Maximum memory per file (bytes)
    maxFileMemory: 100 * 1024 * 1024, // 100MB

    // Enable streaming for files larger than this
    streamingThreshold: 10 * 1024 * 1024, // 10MB

    // Chunk size for large file processing
    chunkSize: 1 * 1024 * 1024, // 1MB

    // Enable memory-mapped files for very large inputs
    useMemoryMapped: true
  },
  plugins: [
    // ... plugins
  ]
};

Memory-Efficient Patterns¶

# Process large directories in chunks
find icons/ -name "*.svg" | xargs -n 50 vexy-svgo --parallel=4

# Use streaming for very large files
vexy-svgo --streaming --output-stream large-file.svg > optimized.svg

# Limit memory usage in CI/CD
vexy-svgo --memory-limit=512MB --parallel=2 *.svg

Batch Processing¶

Efficient Batch Operations¶

# Small batches (fastest startup)
vexy-svgo *.svg

# Medium batches (balanced)
vexy-svgo --parallel=4 icons/*.svg

# Large batches (maximum throughput)
vexy-svgo --parallel=8 --chunked=200 **/*.svg

# Huge batches (memory-conscious)
find . -name "*.svg" | xargs -n 100 -P 4 vexy-svgo

Batch Size Optimization¶

Batch Size	Processing Mode	Memory Usage	Startup Cost	Recommended For
1-10 files	Single-threaded	Low	High per-file	Quick tests
10-100 files	Multi-threaded	Medium	Medium per-file	Development
100-1000 files	Parallel batches	High	Low per-file	Production
1000+ files	Chunked processing	Controlled	Very low per-file	Large deployments

Advanced Batch Configuration¶

# Progressive batch processing
vexy-svgo --batch-size=auto --parallel=auto icons/

# Memory-aware batch processing  
vexy-svgo --memory-limit=1GB --adaptive-batch icons/

# Priority-based processing (large files first)
vexy-svgo --sort-by-size --parallel=8 icons/

Plugin Selection¶

Performance-Oriented Plugin Sets¶

Ultra-Fast (minimal optimization):

module.exports = {
  plugins: [
    'removeDoctype',      // 0.1ms
    'removeComments',     // 0.2ms  
    'removeMetadata',     // 0.1ms
    'removeTitle',        // 0.1ms
    'removeDesc'          // 0.1ms
  ]
  // Total: ~0.6ms per file
};

Fast (good optimization/speed balance):

module.exports = {
  plugins: [
    'removeDoctype',
    'removeComments',
    'removeMetadata', 
    'removeTitle',
    'removeDesc',
    'removeEmptyAttrs',   // 0.3ms
    'removeHiddenElems',  // 0.4ms
    'removeEmptyText',    // 0.2ms
    'convertColors',      // 0.8ms
    'cleanupIds'          // 1.2ms
  ]
  // Total: ~3.5ms per file
};

Comprehensive (best optimization):

module.exports = {
  multipass: true,
  plugins: [
    // All plugins enabled
    // Total: ~15-25ms per file
  ]
};

Plugin Performance Characteristics¶

Plugin	Speed	Size Reduction	Use Case
`removeDoctype`	Very Fast	Small	Always enable
`removeComments`	Very Fast	Small-Medium	Always enable
`removeMetadata`	Very Fast	Small-Medium	Always enable
`convertColors`	Fast	Medium	Usually enable
`convertPathData`	Medium	Large	Enable for paths
`cleanupIds`	Medium	Medium	Enable if IDs present
`mergePaths`	Slow	Large	Enable for complex graphics
`convertShapeToPath`	Slow	Large	Enable for shapes

Smart Plugin Selection¶

# Analyze file to recommend plugins
vexy-svgo --analyze --recommend-plugins input.svg

# Auto-select plugins based on file content
vexy-svgo --smart-plugins input.svg

# Profile plugin impact
vexy-svgo --plugin-profile input.svg

Platform Optimization¶

CPU-Specific Optimizations¶

# Enable CPU-specific optimizations (compile-time)
cargo install vexy-svgo --features="native-cpu"

# Runtime CPU detection
vexy-svgo --cpu-optimizations=auto input.svg

# Disable CPU optimizations (for compatibility)
vexy-svgo --cpu-optimizations=none input.svg

Architecture-Specific Settings¶

Apple Silicon (M1/M2):

# Optimized thread count for efficiency cores
vexy-svgo --parallel=6 --efficiency-cores=2 *.svg

Intel (x86_64):

# Utilize hyperthreading
vexy-svgo --parallel=16 --hyperthreading=true *.svg

ARM64 (Server):

# Conservative threading for thermal management
vexy-svgo --parallel=8 --thermal-throttle *.svg

Memory Architecture Optimization¶

# NUMA-aware processing (Linux)
numactl --interleave=all vexy-svgo --parallel=16 *.svg

# Large page support (Linux)
echo madvise > /sys/kernel/mm/transparent_hugepage/enabled
vexy-svgo --large-pages *.svg

Monitoring and Profiling¶

Built-in Monitoring¶

# Real-time performance monitoring
vexy-svgo --monitor --parallel=8 *.svg

# Export performance metrics
vexy-svgo --metrics-export=json *.svg > metrics.json

# Continuous monitoring
vexy-svgo --watch --metrics icons/

Performance Metrics Collection¶

// metrics.json example output
{
  "totalTime": "2.345s",
  "throughput": "15.6 MB/s", 
  "filesProcessed": 1543,
  "memoryPeak": "124MB",
  "cpuUsage": "76%",
  "pluginTiming": {
    "removeComments": "234ms",
    "convertPathData": "1.2s",
    "cleanupIds": "456ms"
  },
  "parallelEfficiency": "87%"
}

Integration with Monitoring Systems¶

Prometheus Metrics:

# Export Prometheus metrics
vexy-svgo --prometheus-metrics=:9090 *.svg

StatsD Integration:

# Send metrics to StatsD
vexy-svgo --statsd=localhost:8125 *.svg

Custom Metrics:

# JSON output for custom monitoring
vexy-svgo --json-metrics *.svg | jq '.throughput'

Optimization Recipes¶

Development Workflow¶

# Fast development feedback
vexy-svgo --fast --parallel=2 src/icons/

# Development with file watching
vexy-svgo --watch --fast src/icons/

Production Build¶

# Maximum optimization for production
vexy-svgo --production --parallel=auto --multipass *.svg

# Production with size budget
vexy-svgo --production --size-budget=50% *.svg

CI/CD Pipeline¶

# Balanced CI/CD performance
vexy-svgo --ci --parallel=4 --memory-limit=1GB *.svg

# Fast CI/CD (minimal optimization)
vexy-svgo --ci-fast --parallel=2 *.svg

Large-Scale Processing¶

# Enterprise-scale batch processing
find assets/ -name "*.svg" | \
  xargs -n 200 -P 8 vexy-svgo \
    --parallel=4 \
    --memory-limit=512MB \
    --production

Performance Troubleshooting¶

Common Performance Issues¶

Issue: Slow single-file processing

# Diagnosis
vexy-svgo --verbose --timing slow-file.svg

# Solution: Check for expensive plugins
vexy-svgo --plugin-timing slow-file.svg

Issue: High memory usage

# Diagnosis  
vexy-svgo --memory-profile large-file.svg

# Solution: Enable streaming
vexy-svgo --streaming --memory-limit=256MB large-file.svg

Issue: Poor parallel scaling

# Diagnosis
vexy-svgo --parallel-analysis *.svg

# Solution: Adjust thread count and batch size
vexy-svgo --parallel=4 --batch-size=50 *.svg

Performance Regression Detection¶

# Benchmark against reference
vexy-svgo --benchmark --reference=baseline.json *.svg

# Continuous performance testing
vexy-svgo --perf-test --ci baseline/ current/

Best Practices Summary¶

Start with defaults: Vexy SVGO is optimized out of the box
Profile before optimizing: Use --benchmark and --timing
Match optimization to use case: Development vs. production
Use parallel processing: For batch operations (>10 files)
Set memory limits: Prevent OOM on large files
Monitor performance: Track metrics over time
Test configurations: Benchmark different plugin sets
Consider file characteristics: Size, complexity, batch size

The key to optimal performance is understanding your specific use case and choosing the right configuration parameters for your workload.