⚡ TuskLang Ruby Advanced Performance Guide

"We don't bow to any king" - Ruby Edition

Optimize TuskLang performance in Ruby applications. Master profiling, benchmarking, and advanced tuning strategies for maximum speed.

📊 Performance Profiling

1. Config Parsing Profiling

config/performance_profiling.tsk
[profiling]
enabled: @if($environment == "development", true, false)
parse_time_threshold: 100  # milliseconds
cache_hit_threshold: 0.8   # 80%
[profiling_metrics]
parse_time: @metrics("tusklang_parse_time_ms", @parse.execution_time)
cache_hit_rate: @metrics("tusklang_cache_hit_rate", @cache.hit_rate)
memory_usage: @metrics("tusklang_memory_usage_mb", @memory.usage)

2. Ruby Profiling Integration

app/services/performance_profiler.rb
require 'tusklang'
require 'benchmark'
class PerformanceProfiler
  def self.profile_config_parsing(file_path)
    parser = TuskLang.new
    
    # Profile parsing time
    parse_time = Benchmark.realtime do
      config = parser.parse_file(file_path)
    end
    
    # Profile memory usage
    memory_before = GC.stat[:total_allocated_objects]
    config = parser.parse_file(file_path)
    memory_after = GC.stat[:total_allocated_objects]
    memory_allocated = memory_after - memory_before
    
    {
      parse_time_ms: parse_time * 1000,
      memory_allocated: memory_allocated,
      config_size: config.to_json.bytesize
    }
  end
end

🏃‍♂️ Benchmarking Strategies

1. Config Loading Benchmarks

config/benchmarks.tsk
[benchmarks]
Benchmark different config sizes
small_config: @benchmark("parse_small_config", @parse.file("config/small.tsk"))
medium_config: @benchmark("parse_medium_config", @parse.file("config/medium.tsk"))
large_config: @benchmark("parse_large_config", @parse.file("config/large.tsk"))
Benchmark different syntax styles
ini_style: @benchmark("parse_ini_style", @parse.file("config/ini_style.tsk"))
json_style: @benchmark("parse_json_style", @parse.file("config/json_style.tsk"))
xml_style: @benchmark("parse_xml_style", @parse.file("config/xml_style.tsk"))

2. Ruby Benchmarking Service

app/services/benchmark_service.rb
require 'tusklang'
require 'benchmark'
class BenchmarkService
  def self.benchmark_config_loading
    parser = TuskLang.new
    results = {}
    
    # Benchmark different config files
    config_files = ['config/small.tsk', 'config/medium.tsk', 'config/large.tsk']
    
    config_files.each do |file|
      times = []
      100.times do
        time = Benchmark.realtime do
          parser.parse_file(file)
        end
        times << time
      end
      
      results[file] = {
        avg_time_ms: (times.sum / times.length) * 1000,
        min_time_ms: times.min * 1000,
        max_time_ms: times.max * 1000,
        std_dev_ms: calculate_std_dev(times) * 1000
      }
    end
    
    results
  end
  
  private
  
  def self.calculate_std_dev(times)
    mean = times.sum / times.length
    variance = times.map { |t| (t - mean) ** 2 }.sum / times.length
    Math.sqrt(variance)
  end
end

🔧 Performance Tuning

1. Optimized Config Structure

config/optimized.tsk
Use efficient data structures
[optimized_structure]
Use arrays for sequential data
user_ids: [1, 2, 3, 4, 5]
permissions: ["read", "write", "delete"]
Use objects for key-value data
user_roles: {
    admin: ["read", "write", "delete", "manage"]
    user: ["read", "write"]
    guest: ["read"]
}
Use global variables for repeated values
$app_name: "MyApp"
$version: "1.0.0"
$environment: @env("RAILS_ENV", "development")
Reference global variables
[server]
name: $app_name
version: $version
environment: $environment

2. Query Optimization

config/optimized_queries.tsk
[optimized_queries]
Use indexed columns
active_users: @query("SELECT COUNT(*) FROM users WHERE active = true AND last_login > ?", @date.subtract("30d"))
Limit result sets
recent_orders: @query("SELECT id, user_id, amount, status FROM orders WHERE created_at > ? ORDER BY created_at DESC LIMIT 100", @date.subtract("7d"))
Use specific columns instead of *
user_summary: @query("SELECT id, email, created_at, subscription_type FROM users WHERE active = true")
Use aggregation for summaries
daily_stats: @query("""
    SELECT 
        DATE(created_at) as date,
        COUNT(*) as new_users,
        COUNT(CASE WHEN subscription_type = 'premium' THEN 1 END) as premium_signups
    FROM users 
    WHERE created_at > ?
    GROUP BY DATE(created_at)
    ORDER BY date DESC
""", @date.subtract("30d"))

🚀 Advanced Optimization Techniques

1. Lazy Loading

config/lazy_loading.tsk
[lazy_loading]
enabled: true
[lazy_sections]
Only load when accessed
analytics: @lazy.load("config/analytics.tsk")
reports: @lazy.load("config/reports.tsk")
monitoring: @lazy.load("config/monitoring.tsk")

2. Config Preprocessing

config/preprocessing.tsk
[preprocessing]
enabled: true
[preprocessed_data]
Pre-compute expensive values
user_count: @precompute(@query("SELECT COUNT(*) FROM users"), "5m")
active_users: @precompute(@query("SELECT COUNT(*) FROM users WHERE active = true"), "1m")
revenue_today: @precompute(@query("SELECT SUM(amount) FROM orders WHERE DATE(created_at) = ?", @date.today()), "10m")

3. Memory Optimization

config/memory_optimization.tsk
[memory_optimization]
enabled: true
[optimizations]
Use symbols for keys
use_symbols: true
Compress large strings
compress_strings: true
compression_threshold: 1024  # bytes
Pool common objects
object_pooling: true
pool_size: 1000

🛠️ Ruby Integration Example

app/services/performance_optimizer.rb
require 'tusklang'
class PerformanceOptimizer
  def self.load_optimized_config
    parser = TuskLang.new
    
    # Enable performance optimizations
    parser.enable_lazy_loading = true
    parser.enable_preprocessing = true
    parser.enable_memory_optimization = true
    
    # Load config with optimizations
    parser.parse_file('config/optimized.tsk')
  end
  def self.optimize_queries(config)
    # Replace expensive queries with optimized versions
    config['optimized_queries'].each do |key, query|
      if query.include?('SELECT *')
        # Replace with specific columns
        config['optimized_queries'][key] = query.gsub('SELECT *', 'SELECT id, name, created_at')
      end
    end
    
    config
  end
  def self.monitor_performance
    config = load_optimized_config
    
    # Monitor key metrics
    parse_time = config['profiling_metrics']['parse_time']
    cache_hit_rate = config['profiling_metrics']['cache_hit_rate']
    memory_usage = config['profiling_metrics']['memory_usage']
    
    # Alert if performance degrades
    if parse_time > config['profiling']['parse_time_threshold']
      Rails.logger.warn("Config parsing is slow: #{parse_time}ms")
    end
    
    if cache_hit_rate < config['profiling']['cache_hit_threshold']
      Rails.logger.warn("Cache hit rate is low: #{cache_hit_rate}")
    end
  end
end
Usage
config = PerformanceOptimizer.load_optimized_config
optimized_config = PerformanceOptimizer.optimize_queries(config)
PerformanceOptimizer.monitor_performance

🛡️ Best Practices

- Profile config parsing and loading performance. - Use efficient data structures and query optimization. - Implement lazy loading for large configs. - Monitor memory usage and cache hit rates. - Pre-compute expensive values when possible.

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