💎 Performance Optimization in TuskLang - Ruby Edition

"We don't bow to any king" - Optimized Performance with Ruby Power

Performance optimization in TuskLang provides powerful tools for optimizing Ruby applications, from database queries to memory management and caching strategies. In Ruby, this integrates seamlessly with Rails, ActiveRecord, and provides advanced optimization patterns that go beyond traditional performance approaches.

🚀 Basic Performance Optimization

Query Optimization

require 'tusklang'
TuskLang configuration for query optimization
tsk_content = <<~TSK
  [query_optimization]
  # Optimized database queries
  optimized_user_query: @optimize.query(() => {
      return @User.includes(:profile, :posts, :comments)
                  .where("active = ?", true)
                  .order("created_at DESC")
                  .limit(100)
  }, {
      use_index: "idx_users_active_created_at",
      cache_result: true,
      cache_ttl: "15m",
      explain_query: true
  })
  
  # Batch processing optimization
  batch_processing: @optimize.batch(() => {
      users = @User.where("last_login < ?", 30.days.ago)
      
      return users.find_in_batches(batch_size: 1000) do |batch|
          batch.each do |user|
              @process_inactive_user(user)
          end
      end
  }, {
      batch_size: 1000,
      parallel_processing: true,
      memory_limit: "512MB"
  })
  
  # Query result caching
  cached_query: @optimize.cache("active_users_count", () => {
      return @User.where("active = ?", true).count
  }, {
      ttl: "1h",
      stale_while_revalidate: "5m",
      background_refresh: true
  })
  
  # Query analysis and profiling
  query_analysis: @optimize.analyze(() => {
      return @User.joins(:posts)
                  .where("posts.created_at > ?", 7.days.ago)
                  .group("users.id")
                  .having("COUNT(posts.id) > ?", 5)
  }, {
      analyze_execution_plan: true,
      suggest_indexes: true,
      optimize_joins: true
  })
TSK
Ruby implementation
class QueryOptimizer
  include TuskLang::Optimizable
  
  def optimize_database_queries
    tusk_config = Rails.application.config.tusk_config
    
    # Execute optimized query
    users = tusk_config.execute_optimized_query('optimized_user_query')
    
    # Execute batch processing
    batch_result = tusk_config.execute_batch_processing('batch_processing')
    
    # Execute cached query
    user_count = tusk_config.execute_cached_query('cached_query')
    
    # Execute query analysis
    analysis_result = tusk_config.execute_query_analysis('query_analysis')
    
    puts "Query optimization completed"
    puts "Active users: #{user_count}"
    puts "Query analysis: #{analysis_result}"
  end
  
  private
  
  def process_inactive_user(user)
    # Process inactive user logic
    user.update!(status: 'inactive')
    UserMailer.inactive_notification(user).deliver_now
  end
end

Memory Optimization

TuskLang configuration for memory optimization
tsk_content = <<~TSK
  [memory_optimization]
  # Memory usage monitoring
  memory_monitor: @optimize.memory(() => {
      current_memory = @memory_usage()
      peak_memory = @peak_memory_usage()
      
      if (current_memory > 512MB) {
          @trigger_garbage_collection()
          @log.warning("High memory usage detected: " + current_memory)
      }
      
      return {
          current: current_memory,
          peak: peak_memory,
          threshold: "512MB"
      }
  }, {
      monitor_interval: "30s",
      auto_gc: true,
      memory_threshold: "512MB"
  })
  
  # Object lifecycle optimization
  object_lifecycle: @optimize.lifecycle(() => {
      # Use object pooling for expensive objects
      pool = @object_pool("DatabaseConnection", {
          max_size: 10,
          min_size: 2,
          timeout: "30s"
      })
      
      connection = pool.acquire()
      result = @execute_database_operation(connection)
      pool.release(connection)
      
      return result
  }, {
      enable_object_pooling: true,
      pool_size: 10,
      cleanup_interval: "5m"
  })
  
  # Garbage collection optimization
  gc_optimization: @optimize.garbage_collection(() => {
      # Trigger garbage collection at optimal times
      if (@memory_pressure() > 0.8) {
          @force_garbage_collection()
          @log.info("Forced garbage collection triggered")
      }
      
      return @gc_stats()
  }, {
      auto_gc_threshold: 0.8,
      gc_stats_tracking: true,
      optimize_gc_timing: true
  })
TSK
Ruby implementation for memory optimization
class MemoryOptimizer
  include TuskLang::Optimizable
  
  def optimize_memory_usage
    tusk_config = Rails.application.config.tusk_config
    
    # Monitor memory usage
    memory_stats = tusk_config.execute_memory_optimization('memory_monitor')
    
    # Optimize object lifecycle
    lifecycle_result = tusk_config.execute_lifecycle_optimization('object_lifecycle')
    
    # Optimize garbage collection
    gc_stats = tusk_config.execute_gc_optimization('gc_optimization')
    
    puts "Memory optimization completed"
    puts "Memory stats: #{memory_stats}"
    puts "GC stats: #{gc_stats}"
  end
end

🔧 Advanced Performance Patterns

Caching Strategies

TuskLang configuration for caching strategies
tsk_content = <<~TSK
  [caching_strategies]
  # Multi-level caching
  multi_level_cache: @optimize.cache.multi_level(() => {
      user_data = @fetch_user_data(@request.user_id)
      
      return {
          user: user_data,
          preferences: user_data.preferences,
          activity: user_data.recent_activity
      }
  }, {
      levels: [
          {type: "memory", ttl: "5m"},
          {type: "redis", ttl: "1h"},
          {type: "database", ttl: "24h"}
      ],
      fallback_strategy: "graceful_degradation"
  })
  
  # Cache invalidation strategies
  cache_invalidation: @optimize.cache.invalidation(() => {
      # Invalidate related caches when user is updated
      user_id = @request.user_id
      
      @invalidate_cache("user_data_" + user_id)
      @invalidate_cache("user_preferences_" + user_id)
      @invalidate_cache("user_activity_" + user_id)
      
      # Invalidate pattern-based caches
      @invalidate_cache_pattern("user_*_" + user_id)
      
      return "Cache invalidation completed"
  }, {
      invalidation_strategy: "pattern_based",
      cascade_invalidation: true,
      background_invalidation: true
  })
  
  # Cache warming
  cache_warming: @optimize.cache.warming(() => {
      # Warm up frequently accessed data
      popular_users = @User.where("active = ?", true)
                           .order("last_login DESC")
                           .limit(100)
      
      popular_users.each do |user|
          @warm_cache("user_data_" + user.id, () => {
              return @fetch_user_data(user.id)
          })
      end
      
      return "Cache warming completed for " + popular_users.length + " users"
  }, {
      warming_strategy: "background",
      warming_interval: "15m",
      warming_threshold: 100
  })
  
  # Cache compression
  cache_compression: @optimize.cache.compression(() => {
      large_data = @fetch_large_dataset()
      
      return @compress_data(large_data, {
          algorithm: "gzip",
          compression_level: 6,
          auto_decompress: true
      })
  }, {
      compression_threshold: "1MB",
      compression_algorithm: "gzip",
      auto_compression: true
  })
TSK
Ruby implementation for caching strategies
class CacheOptimizer
  include TuskLang::Optimizable
  
  def implement_caching_strategies
    tusk_config = Rails.application.config.tusk_config
    
    # Implement multi-level caching
    cached_data = tusk_config.execute_multi_level_cache('multi_level_cache', {
      user_id: 1
    })
    
    # Implement cache invalidation
    invalidation_result = tusk_config.execute_cache_invalidation('cache_invalidation', {
      user_id: 1
    })
    
    # Implement cache warming
    warming_result = tusk_config.execute_cache_warming('cache_warming')
    
    # Implement cache compression
    compressed_data = tusk_config.execute_cache_compression('cache_compression')
    
    puts "Caching strategies implemented"
    puts "Cache warming: #{warming_result}"
  end
end

Database Optimization

TuskLang configuration for database optimization
tsk_content = <<~TSK
  [database_optimization]
  # Connection pooling optimization
  connection_pooling: @optimize.database.connection_pool(() => {
      pool_config = {
          min_connections: 5,
          max_connections: 20,
          checkout_timeout: "30s",
          reaping_frequency: "10s"
      }
      
      @configure_connection_pool(pool_config)
      
      return @connection_pool_stats()
  }, {
      enable_connection_pooling: true,
      pool_monitoring: true,
      connection_health_check: true
  })
  
  # Query optimization with indexes
  index_optimization: @optimize.database.indexes(() => {
      # Analyze query patterns and suggest indexes
      slow_queries = @analyze_slow_queries()
      
      suggested_indexes = []
      
      for (query in slow_queries) {
          if (query.table == "users" && query.conditions.includes("email")) {
              suggested_indexes.push({
                  table: "users",
                  columns: ["email"],
                  type: "btree"
              })
          }
      }
      
      return suggested_indexes
  }, {
      analyze_query_patterns: true,
      suggest_indexes: true,
      auto_create_indexes: false
  })
  
  # Database partitioning
  database_partitioning: @optimize.database.partitioning(() => {
      # Partition large tables by date
      @partition_table("posts", {
          strategy: "range",
          partition_key: "created_at",
          partitions: [
              {name: "posts_2024", range: "2024-01-01 to 2024-12-31"},
              {name: "posts_2023", range: "2023-01-01 to 2023-12-31"}
          ]
      })
      
      return "Table partitioning completed"
  }, {
      enable_partitioning: true,
      partition_strategy: "range",
      auto_partition: true
  })
  
  # Query result streaming
  query_streaming: @optimize.database.streaming(() => {
      # Stream large result sets
      return @stream_query("SELECT * FROM posts WHERE created_at > ?", [7.days.ago], {
          batch_size: 1000,
          yield_each: true
      })
  }, {
      enable_streaming: true,
      streaming_batch_size: 1000,
      memory_efficient: true
  })
TSK
Ruby implementation for database optimization
class DatabaseOptimizer
  include TuskLang::Optimizable
  
  def optimize_database_performance
    tusk_config = Rails.application.config.tusk_config
    
    # Optimize connection pooling
    pool_stats = tusk_config.execute_connection_pool_optimization('connection_pooling')
    
    # Optimize indexes
    suggested_indexes = tusk_config.execute_index_optimization('index_optimization')
    
    # Implement partitioning
    partitioning_result = tusk_config.execute_database_partitioning('database_partitioning')
    
    # Implement query streaming
    streaming_result = tusk_config.execute_query_streaming('query_streaming')
    
    puts "Database optimization completed"
    puts "Pool stats: #{pool_stats}"
    puts "Suggested indexes: #{suggested_indexes.length}"
  end
end

🏭 Rails Integration

Rails Performance Configuration

TuskLang configuration for Rails performance
tsk_content = <<~TSK
  [rails_performance]
  # Rails asset optimization
  asset_optimization: @optimize.rails.assets(() => {
      # Optimize asset compilation
      @optimize_asset_pipeline({
          compress_css: true,
          compress_js: true,
          fingerprint_assets: true,
          cache_assets: true
      })
      
      return "Asset optimization completed"
  }, {
      enable_asset_compression: true,
      enable_asset_caching: true,
      asset_fingerprinting: true
  })
  
  # Rails session optimization
  session_optimization: @optimize.rails.sessions(() => {
      # Optimize session storage
      @configure_session_store({
          store: "redis",
          expire_after: "24h",
          key: "_app_session",
          secure: true
      })
      
      return "Session optimization completed"
  }, {
      session_store: "redis",
      session_compression: true,
      session_encryption: true
  })
  
  # Rails view optimization
  view_optimization: @optimize.rails.views(() => {
      # Optimize view rendering
      @optimize_view_rendering({
          enable_fragment_caching: true,
          enable_russian_doll_caching: true,
          enable_lazy_loading: true
      })
      
      return "View optimization completed"
  }, {
      fragment_caching: true,
      russian_doll_caching: true,
      view_compilation: true
  })
  
  # Rails middleware optimization
  middleware_optimization: @optimize.rails.middleware(() => {
      # Optimize middleware stack
      @optimize_middleware_stack([
          "Rack::Deflater",
          "Rack::ETag",
          "ActionDispatch::Static",
          "ActionDispatch::Cookies"
      ])
      
      return "Middleware optimization completed"
  }, {
      enable_compression: true,
      enable_etags: true,
      optimize_middleware_order: true
  })
TSK
Ruby implementation for Rails performance
class RailsPerformanceOptimizer
  include TuskLang::Optimizable
  
  def optimize_rails_performance
    tusk_config = Rails.application.config.tusk_config
    
    # Optimize assets
    asset_result = tusk_config.execute_rails_asset_optimization('asset_optimization')
    
    # Optimize sessions
    session_result = tusk_config.execute_rails_session_optimization('session_optimization')
    
    # Optimize views
    view_result = tusk_config.execute_rails_view_optimization('view_optimization')
    
    # Optimize middleware
    middleware_result = tusk_config.execute_rails_middleware_optimization('middleware_optimization')
    
    puts "Rails performance optimization completed"
  end
end

ActiveRecord Performance

TuskLang configuration for ActiveRecord performance
tsk_content = <<~TSK
  [activerecord_performance]
  # Eager loading optimization
  eager_loading: @optimize.activerecord.eager_loading(() => {
      # Optimize N+1 queries with eager loading
      users = @User.includes(:profile, :posts, :comments)
                   .where("active = ?", true)
                   .limit(100)
      
      return users.map((user) => ({
          id: user.id,
          name: user.name,
          profile: user.profile,
          posts_count: user.posts.length,
          comments_count: user.comments.length
      }))
  }, {
      detect_n_plus_one: true,
      auto_eager_load: true,
      eager_loading_depth: 3
  })
  
  # Counter cache optimization
  counter_cache: @optimize.activerecord.counter_cache(() => {
      # Use counter caches for frequently accessed counts
      @User.joins(:posts)
           .where("posts.created_at > ?", 7.days.ago)
           .group("users.id")
           .select("users.*, COUNT(posts.id) as posts_count")
  }, {
      enable_counter_cache: true,
      auto_update_counters: true,
      counter_cache_columns: ["posts_count", "comments_count"]
  })
  
  # Batch operations optimization
  batch_operations: @optimize.activerecord.batch(() => {
      # Optimize bulk operations
      users_data = @request.users.map((user_data) => ({
          name: user_data.name,
          email: user_data.email,
          created_at: @now(),
          updated_at: @now()
      }))
      
      @User.insert_all(users_data)
      
      return "Batch insert completed for " + users_data.length + " users"
  }, {
      batch_size: 1000,
      use_insert_all: true,
      skip_validations: true
  })
  
  # Query result caching
  query_caching: @optimize.activerecord.caching(() => {
      # Cache expensive queries
      return @cache.remember("expensive_query", "1h", () => {
          return @User.joins(:posts, :comments)
                      .where("posts.created_at > ?", 30.days.ago)
                      .group("users.id")
                      .having("COUNT(posts.id) > ? AND COUNT(comments.id) > ?", 10, 50)
                      .to_a
      })
  }, {
      enable_query_caching: true,
      cache_expensive_queries: true,
      query_cache_ttl: "1h"
  })
TSK
Ruby implementation for ActiveRecord performance
class ActiveRecordPerformanceOptimizer
  include TuskLang::Optimizable
  
  def optimize_activerecord_performance
    tusk_config = Rails.application.config.tusk_config
    
    # Optimize eager loading
    eager_loading_result = tusk_config.execute_activerecord_eager_loading('eager_loading')
    
    # Optimize counter cache
    counter_cache_result = tusk_config.execute_activerecord_counter_cache('counter_cache')
    
    # Optimize batch operations
    batch_result = tusk_config.execute_activerecord_batch_operations('batch_operations', {
      users: [
        { name: 'John', email: 'john@example.com' },
        { name: 'Jane', email: 'jane@example.com' }
      ]
    })
    
    # Optimize query caching
    cached_query_result = tusk_config.execute_activerecord_query_caching('query_caching')
    
    puts "ActiveRecord performance optimization completed"
  end
end

🧪 Testing and Validation

Performance Testing

TuskLang configuration for performance testing
tsk_content = <<~TSK
  [performance_testing]
  # Load testing
  load_test: @optimize.test.load(() => {
      return @simulate_concurrent_users(100, () => {
          return @User.where("active = ?", true).limit(10).to_a
      })
  }, {
      concurrent_users: 100,
      test_duration: "5m",
      success_threshold: 95
  })
  
  # Performance benchmarking
  performance_benchmark: @optimize.test.benchmark(() => {
      start_time = @microtime(true)
      
      result = @expensive_operation()
      
      end_time = @microtime(true)
      execution_time = end_time - start_time
      
      return {
          result: result,
          execution_time: execution_time,
          memory_usage: @memory_usage()
      }
  }, {
      benchmark_iterations: 100,
      warmup_iterations: 10,
      performance_threshold: "100ms"
  })
  
  # Memory leak detection
  memory_leak_test: @optimize.test.memory_leak(() => {
      initial_memory = @memory_usage()
      
      for (i = 0; i < 1000; i++) {
          @create_test_objects()
      }
      
      final_memory = @memory_usage()
      memory_increase = final_memory - initial_memory
      
      return {
          initial_memory: initial_memory,
          final_memory: final_memory,
          memory_increase: memory_increase,
          leak_detected: memory_increase > 10MB
      }
  }, {
      test_iterations: 1000,
      memory_threshold: "10MB",
      leak_detection: true
  })
  
  # Database performance testing
  database_performance_test: @optimize.test.database(() => {
      return @benchmark_database_queries([
          "SELECT * FROM users WHERE active = true",
          "SELECT users.*, COUNT(posts.id) FROM users JOIN posts ON users.id = posts.user_id GROUP BY users.id",
          "SELECT * FROM posts WHERE created_at > NOW() - INTERVAL '7 days'"
      ])
  }, {
      query_count: 1000,
      performance_threshold: "50ms",
      analyze_query_plans: true
  })
TSK
Ruby implementation for performance testing
class PerformanceTester
  include TuskLang::Optimizable
  
  def run_performance_tests
    tusk_config = Rails.application.config.tusk_config
    
    # Run load test
    load_test_result = tusk_config.execute_load_test('load_test')
    
    # Run performance benchmark
    benchmark_result = tusk_config.execute_performance_benchmark('performance_benchmark')
    
    # Run memory leak test
    memory_leak_result = tusk_config.execute_memory_leak_test('memory_leak_test')
    
    # Run database performance test
    database_performance_result = tusk_config.execute_database_performance_test('database_performance_test')
    
    puts "Performance testing completed"
    puts "Load test: #{load_test_result[:success_rate]}% success rate"
    puts "Benchmark: #{benchmark_result[:execution_time]}ms average"
    puts "Memory leak: #{memory_leak_result[:leak_detected] ? 'Detected' : 'None detected'}"
  end
  
  private
  
  def create_test_objects
    # Create test objects for memory leak testing
    User.create!(name: "Test User", email: "test@example.com")
  end
end
RSpec tests for performance optimization
RSpec.describe QueryOptimizer, type: :model do
  let(:query_optimizer) { QueryOptimizer.new }
  
  describe '#optimize_database_queries' do
    it 'optimizes database queries successfully' do
      expect {
        query_optimizer.optimize_database_queries
      }.not_to raise_error
    end
  end
end
RSpec.describe CacheOptimizer, type: :model do
  let(:cache_optimizer) { CacheOptimizer.new }
  
  describe '#implement_caching_strategies' do
    it 'implements caching strategies successfully' do
      expect {
        cache_optimizer.implement_caching_strategies
      }.not_to raise_error
    end
  end
end

🔧 Rails Integration

Rails Performance Configuration

config/initializers/tusk_performance.rb
Rails.application.config.after_initialize do
  TuskLang.configure do |config|
    # Configure performance settings
    config.performance_settings = {
      enable_query_optimization: true,
      enable_memory_optimization: true,
      enable_caching: true,
      enable_database_optimization: true,
      performance_monitoring: true,
      auto_optimization: true
    }
    
    # Configure performance thresholds
    config.performance_thresholds = {
      query_timeout: 5.seconds,
      memory_threshold: 512.megabytes,
      cache_hit_ratio: 0.8,
      response_time_threshold: 500.milliseconds
    }
    
    # Configure performance monitoring
    config.performance_monitoring = {
      enable_metrics_collection: true,
      metrics_retention: 30.days,
      alert_thresholds: {
        high_memory_usage: 80.percent,
        slow_queries: 1.second,
        low_cache_hit_ratio: 0.7
      }
    }
  end
end
app/models/concerns/tusk_optimizable.rb
module TuskOptimizable
  extend ActiveSupport::Concern
  
  included do
    include TuskLang::Optimizable
  end
  
  private
  
  def tusk_config
    Rails.application.config.tusk_config
  end
end

Custom Rake Tasks

lib/tasks/performance.rake
namespace :performance do
  desc "Optimize application performance using TuskLang"
  task optimize: :environment do
    query_optimizer = QueryOptimizer.new
    query_optimizer.optimize_database_queries
    
    memory_optimizer = MemoryOptimizer.new
    memory_optimizer.optimize_memory_usage
    
    cache_optimizer = CacheOptimizer.new
    cache_optimizer.implement_caching_strategies
    
    database_optimizer = DatabaseOptimizer.new
    database_optimizer.optimize_database_performance
    
    puts "Performance optimization completed"
  end
  
  desc "Run performance tests"
  task test: :environment do
    tester = PerformanceTester.new
    tester.run_performance_tests
    puts "Performance testing completed"
  end
  
  desc "Optimize Rails performance"
  task optimize_rails: :environment do
    rails_optimizer = RailsPerformanceOptimizer.new
    rails_optimizer.optimize_rails_performance
    
    activerecord_optimizer = ActiveRecordPerformanceOptimizer.new
    activerecord_optimizer.optimize_activerecord_performance
    
    puts "Rails performance optimization completed"
  end
  
  desc "Generate performance report"
  task report: :environment do
    # Generate comprehensive performance report
    report = PerformanceReportGenerator.new.generate_report
    
    puts "Performance report generated:"
    puts "Query performance: #{report[:query_performance]}"
    puts "Memory usage: #{report[:memory_usage]}"
    puts "Cache hit ratio: #{report[:cache_hit_ratio]}"
    puts "Response time: #{report[:response_time]}"
  end
end

🎯 Summary

TuskLang's performance optimization system in Ruby provides:

- Query optimization with intelligent caching and indexing - Memory optimization with garbage collection and object pooling - Caching strategies with multi-level and intelligent invalidation - Database optimization with connection pooling and partitioning - Rails integration with asset, session, and view optimization - ActiveRecord optimization with eager loading and batch operations - Performance testing with load testing and benchmarking - Monitoring and alerting for performance metrics - Custom rake tasks for performance management

The Ruby implementation maintains TuskLang's rebellious spirit while providing enterprise-grade performance capabilities that "don't bow to any king" - not even the constraints of traditional performance bottlenecks.

Ready to revolutionize your Ruby application's performance with TuskLang? 🚀