💎 Query Optimization in TuskLang - Ruby Edition

"We don't bow to any king" - Optimizing Queries with Ruby Performance

Query optimization in TuskLang provides powerful tools to enhance database performance, reduce query time, and improve application responsiveness. In Ruby, this integrates seamlessly with ActiveRecord, provides advanced caching strategies, and offers intelligent query analysis.

🚀 Basic Query Optimization

Simple Query Optimization

require 'tusklang'
TuskLang configuration for basic optimization
tsk_content = <<~TSK
  [query_optimization]
  # Optimized user query with indexing
  optimized_users: @db.query("SELECT * FROM users WHERE active = ? AND role = ?", [true, "user"])
      .index("idx_users_active_role")
      .limit(100)
      .cache("5m")
  
  # Optimized post query with joins
  optimized_posts: @db.query("""
      SELECT p.*, u.name as author_name, COUNT(c.id) as comment_count
      FROM posts p
      LEFT JOIN users u ON p.author_id = u.id
      LEFT JOIN comments c ON p.id = c.post_id
      WHERE p.status = 'published'
      GROUP BY p.id
      ORDER BY p.created_at DESC
  """)
      .index("idx_posts_status_created")
      .cache("10m")
      .limit(50)
  
  # Optimized search query
  optimized_search: @db.query("""
      SELECT * FROM products 
      WHERE name LIKE ? OR description LIKE ?
      AND category_id = ?
      AND price BETWEEN ? AND ?
  """, ["%#{@request.search_term}%", "%#{@request.search_term}%", @request.category_id, @request.min_price, @request.max_price])
      .index("idx_products_search")
      .cache("2m")
TSK
Ruby implementation
class QueryOptimizer
  include TuskLang::Optimizable
  
  def optimize_basic_queries
    tusk_config = Rails.application.config.tusk_config
    
    # Execute optimized queries
    users = tusk_config.execute_optimized_query('optimized_users')
    posts = tusk_config.execute_optimized_query('optimized_posts')
    search_results = tusk_config.execute_optimized_query('optimized_search', {
      search_term: 'ruby',
      category_id: 1,
      min_price: 10.00,
      max_price: 100.00
    })
    
    puts "Retrieved #{users.length} optimized users"
    puts "Retrieved #{posts.length} optimized posts"
    puts "Found #{search_results.length} search results"
  end
end

Query Analysis and Profiling

TuskLang configuration with query analysis
tsk_content = <<~TSK
  [query_analysis]
  # Analyze query performance
  analyze_user_query: @db.analyze("""
      SELECT u.*, COUNT(p.id) as post_count
      FROM users u
      LEFT JOIN posts p ON u.id = p.author_id
      WHERE u.created_at > ?
      GROUP BY u.id
      HAVING post_count > 0
      ORDER BY post_count DESC
  """, [@date.subtract("30d")])
      .explain()
      .profile()
      .suggestIndexes()
  
  # Performance monitoring
  monitor_slow_queries: @db.monitor({
      threshold: "100ms",
      log_slow: true,
      alert_on_slow: true,
      collect_stats: true
  })
  
  # Query statistics
  query_stats: @db.stats({
      collect_execution_time: true,
      collect_memory_usage: true,
      collect_cache_hits: true,
      collect_index_usage: true
  })
TSK
Ruby implementation with query analysis
class QueryAnalyzer
  include TuskLang::Optimizable
  
  def analyze_query_performance
    tusk_config = Rails.application.config.tusk_config
    
    # Analyze query performance
    analysis = tusk_config.execute_query_analysis('analyze_user_query')
    
    puts "Query execution time: #{analysis[:execution_time]}ms"
    puts "Rows examined: #{analysis[:rows_examined]}"
    puts "Index suggestions: #{analysis[:index_suggestions]}"
    
    # Monitor slow queries
    tusk_config.start_query_monitoring('monitor_slow_queries')
    
    # Collect query statistics
    stats = tusk_config.collect_query_stats('query_stats')
    
    puts "Average execution time: #{stats[:avg_execution_time]}ms"
    puts "Cache hit rate: #{stats[:cache_hit_rate]}%"
  end
end

🔧 Advanced Optimization Patterns

Intelligent Caching Strategies

TuskLang configuration with advanced caching
tsk_content = <<~TSK
  [intelligent_caching]
  # Smart cache with invalidation
  smart_user_cache: @db.query("SELECT * FROM users WHERE id = ?", [@request.user_id])
      .cache("1h", {
          key: "user_#{@request.user_id}",
          invalidate_on: ["users.update", "users.delete"],
          stale_while_revalidate: "5m"
      })
  
  # Cache with dependencies
  user_with_posts_cache: @db.query("""
      SELECT u.*, p.title, p.created_at
      FROM users u
      LEFT JOIN posts p ON u.id = p.author_id
      WHERE u.id = ?
      ORDER BY p.created_at DESC
  """, [@request.user_id])
      .cache("30m", {
          key: "user_posts_#{@request.user_id}",
          dependencies: ["users", "posts"],
          version: @query("SELECT MAX(updated_at) FROM users WHERE id = ?", [@request.user_id])
      })
  
  # Multi-level caching
  multi_level_cache: @db.query("SELECT * FROM products WHERE category_id = ?", [@request.category_id])
      .cache("5m", {
          level: "l1",
          key: "products_category_#{@request.category_id}"
      })
      .cache("1h", {
          level: "l2",
          key: "products_category_#{@request.category_id}_l2"
      })
TSK
Ruby implementation with intelligent caching
class IntelligentCacheManager
  include TuskLang::Optimizable
  
  def implement_smart_caching
    tusk_config = Rails.application.config.tusk_config
    
    # Smart user caching
    user = tusk_config.execute_smart_cache('smart_user_cache', { user_id: 1 })
    
    # Cache with dependencies
    user_with_posts = tusk_config.execute_dependent_cache('user_with_posts_cache', { user_id: 1 })
    
    # Multi-level caching
    products = tusk_config.execute_multi_level_cache('multi_level_cache', { category_id: 1 })
    
    puts "Retrieved user from smart cache: #{user[:name]}"
    puts "Retrieved user with posts: #{user_with_posts[:posts].length} posts"
    puts "Retrieved products from multi-level cache: #{products.length} products"
  end
end

Query Batching and Bulk Operations

TuskLang configuration for batch operations
tsk_content = <<~TSK
  [batch_operations]
  # Batch user queries
  batch_user_queries: @db.batch([
      "SELECT * FROM users WHERE id IN (?)", [@request.user_ids],
      "SELECT COUNT(*) FROM posts WHERE author_id IN (?)", [@request.user_ids],
      "SELECT * FROM profiles WHERE user_id IN (?)", [@request.user_ids]
  ])
      .cache("10m")
      .optimize()
  
  # Bulk insert optimization
  bulk_insert_users: @db.bulkInsert("users", @request.users, {
      batch_size: 1000,
      ignore_duplicates: true,
      update_on_duplicate: ["name", "email"],
      transaction: true
  })
  
  # Bulk update optimization
  bulk_update_posts: @db.bulkUpdate("posts", @request.posts, {
      batch_size: 500,
      where: "id = ?",
      fields: ["title", "content", "updated_at"]
  })
TSK
Ruby implementation with batch operations
class BatchOperationManager
  include TuskLang::Optimizable
  
  def execute_batch_operations
    tusk_config = Rails.application.config.tusk_config
    
    # Execute batch queries
    batch_results = tusk_config.execute_batch_queries('batch_user_queries', {
      user_ids: [1, 2, 3, 4, 5]
    })
    
    # Bulk insert users
    users_data = [
      { name: 'User 1', email: 'user1@example.com' },
      { name: 'User 2', email: 'user2@example.com' },
      # ... more users
    ]
    
    insert_result = tusk_config.execute_bulk_insert('bulk_insert_users', {
      users: users_data
    })
    
    # Bulk update posts
    posts_data = [
      { id: 1, title: 'Updated Title 1', content: 'Updated content' },
      { id: 2, title: 'Updated Title 2', content: 'Updated content' },
      # ... more posts
    ]
    
    update_result = tusk_config.execute_bulk_update('bulk_update_posts', {
      posts: posts_data
    })
    
    puts "Batch query results: #{batch_results.length} queries executed"
    puts "Bulk insert result: #{insert_result[:affected_rows]} rows inserted"
    puts "Bulk update result: #{update_result[:affected_rows]} rows updated"
  end
end

🗄️ Database-Specific Optimizations

PostgreSQL Optimizations

TuskLang configuration for PostgreSQL
tsk_content = <<~TSK
  [postgresql_optimization]
  # PostgreSQL-specific optimizations
  postgres_optimized_query: @db.query("""
      SELECT u.*, 
             json_agg(p.*) as posts,
             COUNT(p.id) as post_count
      FROM users u
      LEFT JOIN LATERAL (
          SELECT * FROM posts 
          WHERE author_id = u.id 
          ORDER BY created_at DESC 
          LIMIT 5
      ) p ON true
      WHERE u.active = true
      GROUP BY u.id
      HAVING COUNT(p.id) > 0
  """)
      .index("idx_users_active")
      .index("idx_posts_author_created")
      .cache("15m")
      .postgres({
          enable_seqscan: false,
          enable_indexscan: true,
          work_mem: "64MB",
          shared_buffers: "256MB"
      })
  
  # Full-text search optimization
  postgres_fulltext_search: @db.query("""
      SELECT *, ts_rank(to_tsvector('english', title || ' ' || content), plainto_tsquery('english', ?)) as rank
      FROM posts
      WHERE to_tsvector('english', title || ' ' || content) @@ plainto_tsquery('english', ?)
      ORDER BY rank DESC
  """, [@request.search_term, @request.search_term])
      .index("idx_posts_fulltext")
      .cache("5m")
TSK
Ruby implementation for PostgreSQL
class PostgreSQLOptimizer
  include TuskLang::Optimizable
  
  def optimize_postgres_queries
    tusk_config = Rails.application.config.tusk_config
    
    # Execute PostgreSQL-optimized queries
    users_with_posts = tusk_config.execute_postgres_query('postgres_optimized_query')
    
    # Full-text search
    search_results = tusk_config.execute_fulltext_search('postgres_fulltext_search', {
      search_term: 'ruby programming'
    })
    
    puts "Retrieved #{users_with_posts.length} users with posts"
    puts "Found #{search_results.length} search results"
  end
end

MySQL Optimizations

TuskLang configuration for MySQL
tsk_content = <<~TSK
  [mysql_optimization]
  # MySQL-specific optimizations
  mysql_optimized_query: @db.query("""
      SELECT u.*, 
             GROUP_CONCAT(p.title SEPARATOR ', ') as post_titles,
             COUNT(p.id) as post_count
      FROM users u
      LEFT JOIN posts p ON u.id = p.author_id
      WHERE u.active = 1
      GROUP BY u.id
      HAVING post_count > 0
  """)
      .index("idx_users_active")
      .index("idx_posts_author")
      .cache("10m")
      .mysql({
          sql_mode: "STRICT_TRANS_TABLES",
          innodb_buffer_pool_size: "1G",
          query_cache_size: "64M"
      })
  
  # MySQL partitioning optimization
  mysql_partitioned_query: @db.query("""
      SELECT * FROM orders 
      WHERE created_at >= ? AND created_at < ?
      AND status = ?
  """, [@request.start_date, @request.end_date, @request.status])
      .partition("orders_#{@date.format('YYYY_MM')}")
      .cache("5m")
TSK
Ruby implementation for MySQL
class MySQLOptimizer
  include TuskLang::Optimizable
  
  def optimize_mysql_queries
    tusk_config = Rails.application.config.tusk_config
    
    # Execute MySQL-optimized queries
    users_with_posts = tusk_config.execute_mysql_query('mysql_optimized_query')
    
    # Partitioned query
    orders = tusk_config.execute_partitioned_query('mysql_partitioned_query', {
      start_date: '2024-01-01',
      end_date: '2024-01-31',
      status: 'completed'
    })
    
    puts "Retrieved #{users_with_posts.length} users with posts"
    puts "Retrieved #{orders.length} orders from partition"
  end
end

🚀 Performance Monitoring

Real-time Performance Tracking

TuskLang configuration for performance monitoring
tsk_content = <<~TSK
  [performance_monitoring]
  # Real-time query monitoring
  real_time_monitoring: @db.monitor({
      track_execution_time: true,
      track_memory_usage: true,
      track_slow_queries: true,
      alert_threshold: "500ms",
      log_queries: true,
      metrics_collection: {
          interval: "1m",
          retention: "24h"
      }
  })
  
  # Query performance dashboard
  performance_dashboard: @db.dashboard({
      metrics: [
          "avg_execution_time",
          "slow_query_count",
          "cache_hit_rate",
          "index_usage",
          "connection_count"
      ],
      alerts: {
          slow_queries: "> 1000ms",
          high_memory: "> 80%",
          low_cache_hit: "< 70%"
      }
  })
  
  # Automated optimization suggestions
  optimization_suggestions: @db.suggestOptimizations({
      analyze_queries: true,
      suggest_indexes: true,
      suggest_cache_strategies: true,
      suggest_query_rewrites: true
  })
TSK
Ruby implementation for performance monitoring
class PerformanceMonitor
  include TuskLang::Optimizable
  
  def monitor_performance
    tusk_config = Rails.application.config.tusk_config
    
    # Start real-time monitoring
    tusk_config.start_performance_monitoring('real_time_monitoring')
    
    # Get performance dashboard
    dashboard = tusk_config.get_performance_dashboard('performance_dashboard')
    
    puts "Average execution time: #{dashboard[:avg_execution_time]}ms"
    puts "Slow query count: #{dashboard[:slow_query_count]}"
    puts "Cache hit rate: #{dashboard[:cache_hit_rate]}%"
    
    # Get optimization suggestions
    suggestions = tusk_config.get_optimization_suggestions('optimization_suggestions')
    
    suggestions[:index_suggestions].each do |suggestion|
      puts "Index suggestion: #{suggestion[:table]}.#{suggestion[:columns]}"
    end
  end
end

🔧 Rails Integration

ActiveRecord Optimization

TuskLang configuration for ActiveRecord
tsk_content = <<~TSK
  [activerecord_optimization]
  # Optimized ActiveRecord queries
  optimized_user_scope: @User.active
      .includes(:posts, :profile)
      .where("created_at > ?", @date.subtract("30d"))
      .order("created_at DESC")
      .limit(100)
      .cache("10m")
  
  # N+1 query prevention
  prevent_n_plus_one: @User.all
      .includes({
          posts: [:comments, :tags],
          profile: :preferences
      })
      .where("active = ?", true)
      .cache("5m")
  
  # Counter cache optimization
  counter_cache_optimized: @Category.all
      .includes(:products)
      .joins("LEFT JOIN products ON categories.id = products.category_id")
      .group("categories.id")
      .select("categories.*, COUNT(products.id) as products_count")
      .cache("15m")
TSK
Ruby implementation for ActiveRecord
class ActiveRecordOptimizer
  include TuskLang::Optimizable
  
  def optimize_activerecord_queries
    tusk_config = Rails.application.config.tusk_config
    
    # Execute optimized ActiveRecord queries
    users = tusk_config.execute_activerecord_query('optimized_user_scope')
    
    # Prevent N+1 queries
    users_with_associations = tusk_config.execute_activerecord_query('prevent_n_plus_one')
    
    # Counter cache optimization
    categories_with_counts = tusk_config.execute_activerecord_query('counter_cache_optimized')
    
    puts "Retrieved #{users.length} optimized users"
    puts "Retrieved #{users_with_associations.length} users with associations"
    puts "Retrieved #{categories_with_counts.length} categories with counts"
  end
end
ActiveRecord model optimizations
class User < ApplicationRecord
  include TuskLang::Optimizable
  
  # Optimized associations
  has_many :posts, -> { includes(:comments, :tags) }
  has_one :profile, -> { includes(:preferences) }
  
  # Counter cache
  has_many :posts, counter_cache: true
  
  # Optimized scopes
  scope :active, -> { where(active: true) }
  scope :recent, -> { where("created_at > ?", 30.days.ago) }
  scope :with_posts, -> { joins(:posts).distinct }
  
  # Custom query methods
  def self.optimized_find_with_posts(id)
    tusk_config = Rails.application.config.tusk_config
    
    tusk_config.execute_activerecord_query('optimized_user_scope', { user_id: id })
  end
end

🧪 Testing and Validation

Query Performance Testing

TuskLang configuration for testing
tsk_content = <<~TSK
  [performance_testing]
  # Performance test scenarios
  performance_tests: {
      # Test query execution time
      execution_time_test: @db.testPerformance("""
          SELECT * FROM users WHERE active = true
      """, {
          iterations: 1000,
          expected_max_time: "50ms",
          warmup_iterations: 100
      }),
      
      # Test cache effectiveness
      cache_effectiveness_test: @db.testCache("""
          SELECT * FROM posts WHERE status = 'published'
      """, {
          cache_duration: "5m",
          test_iterations: 100,
          expected_cache_hit_rate: 0.8
      }),
      
      # Test concurrent queries
      concurrent_query_test: @db.testConcurrency([
          "SELECT * FROM users WHERE id = ?",
          "SELECT * FROM posts WHERE author_id = ?",
          "SELECT * FROM comments WHERE post_id = ?"
      ], {
          concurrent_users: 50,
          test_duration: "30s",
          expected_max_response_time: "200ms"
      })
  }
TSK
Ruby implementation for performance testing
class PerformanceTester
  include TuskLang::Optimizable
  
  def run_performance_tests
    tusk_config = Rails.application.config.tusk_config
    
    # Run performance tests
    tests = tusk_config.execute_performance_tests('performance_tests')
    
    # Execution time test
    execution_result = tests[:execution_time_test]
    puts "Execution time test: #{execution_result[:avg_time]}ms average"
    
    # Cache effectiveness test
    cache_result = tests[:cache_effectiveness_test]
    puts "Cache hit rate: #{cache_result[:cache_hit_rate]}%"
    
    # Concurrent query test
    concurrent_result = tests[:concurrent_query_test]
    puts "Concurrent test: #{concurrent_result[:avg_response_time]}ms average response"
  end
end
RSpec tests for query optimization
RSpec.describe QueryOptimizer, type: :model do
  let(:optimizer) { QueryOptimizer.new }
  
  describe '#optimize_basic_queries' do
    it 'executes optimized queries efficiently' do
      start_time = Time.current
      
      optimizer.optimize_basic_queries
      
      execution_time = Time.current - start_time
      expect(execution_time).to be < 1.second
    end
  end
end

🎯 Summary

TuskLang's query optimization system in Ruby provides:

- Intelligent query analysis with performance profiling and index suggestions - Advanced caching strategies with smart invalidation and multi-level caching - Batch operations for bulk inserts, updates, and queries - Database-specific optimizations for PostgreSQL and MySQL - Real-time performance monitoring with alerts and dashboards - ActiveRecord integration with N+1 prevention and counter caches - Performance testing with execution time and concurrency tests - Automated optimization suggestions for indexes and query rewrites - Query statistics collection for continuous improvement

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

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