📋 Latest Benchmark Report

🚀 Rush Shell Performance Benchmark Report

🔗 View Full Report

📈 Performance Analysis

Performance Distribution

Fast (<10ms) 5 benchmarks

Medium (10-100ms) 2 benchmarks

Slow (≥100ms) 13 benchmarks

Fastest Components

Lexer (Basic Tokens) 409,562 ops/sec

Parser (Basic Commands) 102,706 ops/sec

Case Statements 1,893 ops/sec

Optimization Opportunities

Complex Pipelines 21 ops/sec

Script Execution 251 ops/sec

Command Substitution 270 ops/sec

🧪 Benchmark Categories

📝

Lexer Benchmarks

Tokenization performance for various command types

• Basic tokenization (simple commands)
• Complex tokenization (quotes, variables, expansions)
• Large input tokenization

🔍

Parser Benchmarks

AST construction speed for complex structures

• Basic command parsing
• Complex structure parsing (if/for/while/case)
• Function definition parsing

⚡

Executor Benchmarks

Command execution performance

• Built-in command execution
• External command execution
• Variable operations

🔄

Expansion Benchmarks

Variable and arithmetic expansion speed

• Variable expansion performance
• Arithmetic expansion performance
• Command substitution performance

🏗️

Control Structure Benchmarks

If/for/while/case statement performance

• If statement execution
• Loop execution (for/while)
• Case statement execution

🔗

Pipeline Benchmarks

Pipe and redirection performance

• Simple pipeline execution
• Complex pipeline execution
• Pipeline with redirections

🎯 Running Benchmarks

Complete Benchmark Suite

# Run from repository root
cargo run -p rush-benchmarks

Executes 20+ benchmark scenarios covering all major components

View HTML Report

# Serve locally
python3 -m http.server 8000 -d target/

# Visit http://localhost:8000/benchmark_report.html

Visual report with detailed metrics and performance analysis

JSON Results

# Machine-readable results
cat target/benchmark_results.json

Structured data for CI/CD integration and trend analysis

📊 Performance Monitoring

🔍

Regression Detection

Track performance changes over time and identify regressions during development

⚡

Optimization Validation

Verify performance improvements and ensure no regressions in execution speed

🔄

CI/CD Integration

Automated performance testing in build pipelines for continuous monitoring

📈

Historical Tracking

JSON export enables trend analysis and long-term performance monitoring

💡 Recommendations

⚠️

Performance Optimization

Some benchmarks are running slowly. Consider optimizing the slowest components identified in the benchmark report.

💡

Regular Monitoring

Run benchmarks regularly to track performance trends over time and catch regressions early.

🔍

Focus Areas

Focus optimization efforts on the slowest benchmarks identified in the detailed results above.