🔷 🗄️ Database Integration - TuskLang for C# - "Data Mastery"
🗄️ Database Integration - TuskLang for C# - "Data Mastery"
Master database integration with TuskLang in your C# applications!
Database integration is crucial for data-driven applications. This guide covers ORM integration, query optimization, migrations, and real-world database scenarios for TuskLang in C# environments.
🗃️ Database Philosophy
"We Don't Bow to Any King"
- Type-safe queries - Compile-time query validation - Performance first - Optimize for speed and efficiency - Migration safety - Safe, reversible database changes - Connection pooling - Efficient resource management - Real-time data - Live data integration with configs🔗 Entity Framework Integration
Example: EF Core with TuskLang
// DatabaseService.cs
using Microsoft.EntityFrameworkCore;
using Microsoft.Extensions.Configuration;public class DatabaseService
{
private readonly ApplicationDbContext _context;
private readonly TuskLang _parser;
private readonly ILogger<DatabaseService> _logger;
public DatabaseService(ApplicationDbContext context, ILogger<DatabaseService> logger)
{
_context = context;
_parser = new TuskLang();
_logger = logger;
}
public async Task<Dictionary<string, object>> LoadDatabaseConfigurationAsync()
{
var config = new Dictionary<string, object>();
// Load user statistics
config["total_users"] = await GetTotalUsersAsync();
config["active_users"] = await GetActiveUsersAsync();
config["user_growth_rate"] = await GetUserGrowthRateAsync();
// Load system metrics
config["database_size"] = await GetDatabaseSizeAsync();
config["table_counts"] = await GetTableCountsAsync();
return config;
}
private async Task<int> GetTotalUsersAsync()
{
return await _context.Users.CountAsync();
}
private async Task<int> GetActiveUsersAsync()
{
var thirtyDaysAgo = DateTime.UtcNow.AddDays(-30);
return await _context.Users
.Where(u => u.LastLoginDate >= thirtyDaysAgo)
.CountAsync();
}
private async Task<double> GetUserGrowthRateAsync()
{
var currentMonth = await _context.Users
.Where(u => u.CreatedDate >= DateTime.UtcNow.AddDays(-30))
.CountAsync();
var previousMonth = await _context.Users
.Where(u => u.CreatedDate >= DateTime.UtcNow.AddDays(-60) &&
u.CreatedDate < DateTime.UtcNow.AddDays(-30))
.CountAsync();
if (previousMonth == 0) return 0;
return ((double)(currentMonth - previousMonth) / previousMonth) * 100;
}
private async Task<long> GetDatabaseSizeAsync()
{
var result = await _context.Database
.SqlQueryRaw<long>("SELECT pg_database_size(current_database())")
.FirstOrDefaultAsync();
return result;
}
private async Task<Dictionary<string, int>> GetTableCountsAsync()
{
var tableCounts = new Dictionary<string, int>();
tableCounts["users"] = await _context.Users.CountAsync();
tableCounts["orders"] = await _context.Orders.CountAsync();
tableCounts["products"] = await _context.Products.CountAsync();
return tableCounts;
}
}
🔍 Query Optimization
Example: Optimized Database Queries
// QueryOptimizationService.cs
public class QueryOptimizationService
{
private readonly ApplicationDbContext _context;
private readonly ILogger<QueryOptimizationService> _logger;
public QueryOptimizationService(ApplicationDbContext context, ILogger<QueryOptimizationService> logger)
{
_context = context;
_logger = logger;
}
public async Task<List<User>> GetUsersWithOptimizedQueryAsync()
{
// Use projection to select only needed fields
return await _context.Users
.Select(u => new User
{
Id = u.Id,
FirstName = u.FirstName,
LastName = u.LastName,
Email = u.Email
})
.AsNoTracking() // Don't track entities for read-only operations
.ToListAsync();
}
public async Task<Dictionary<string, object>> GetAggregatedDataAsync()
{
var aggregatedData = new Dictionary<string, object>();
// Use raw SQL for complex aggregations
var userStats = await _context.Database
.SqlQueryRaw<UserStats>(@"
SELECT
COUNT(*) as TotalUsers,
COUNT(CASE WHEN last_login_date >= NOW() - INTERVAL '30 days' THEN 1 END) as ActiveUsers,
AVG(EXTRACT(EPOCH FROM (NOW() - created_date))/86400) as AverageUserAge
FROM users")
.FirstOrDefaultAsync();
aggregatedData["total_users"] = userStats?.TotalUsers ?? 0;
aggregatedData["active_users"] = userStats?.ActiveUsers ?? 0;
aggregatedData["average_user_age_days"] = userStats?.AverageUserAge ?? 0;
return aggregatedData;
}
}public class UserStats
{
public int TotalUsers { get; set; }
public int ActiveUsers { get; set; }
public double AverageUserAge { get; set; }
}
🔄 Database Migrations
Example: TuskLang-Driven Migrations
// MigrationService.cs
public class MigrationService
{
private readonly ApplicationDbContext _context;
private readonly TuskLang _parser;
private readonly ILogger<MigrationService> _logger;
public MigrationService(ApplicationDbContext context, ILogger<MigrationService> logger)
{
_context = context;
_parser = new TuskLang();
_logger = logger;
}
public async Task RunMigrationsAsync()
{
var migrationConfig = _parser.ParseFile("migrations/migration-config.tsk");
foreach (var migration in migrationConfig["migrations"] as List<object>)
{
var migrationDict = migration as Dictionary<string, object>;
await ExecuteMigrationAsync(migrationDict);
}
}
private async Task ExecuteMigrationAsync(Dictionary<string, object> migration)
{
var migrationName = migration["name"].ToString();
var sql = migration["sql"].ToString();
var isReversible = (bool)migration["reversible"];
_logger.LogInformation("Executing migration: {MigrationName}", migrationName);
try
{
await _context.Database.ExecuteSqlRawAsync(sql);
_logger.LogInformation("Migration {MigrationName} completed successfully", migrationName);
}
catch (Exception ex)
{
_logger.LogError(ex, "Migration {MigrationName} failed", migrationName);
throw;
}
}
}📊 Real-Time Data Integration
Example: Live Data with TuskLang
// RealTimeDataService.cs
public class RealTimeDataService
{
private readonly ApplicationDbContext _context;
private readonly TuskLang _parser;
private readonly ILogger<RealTimeDataService> _logger;
public RealTimeDataService(ApplicationDbContext context, ILogger<RealTimeDataService> logger)
{
_context = context;
_parser = new TuskLang();
_logger = logger;
}
public async Task<Dictionary<string, object>> GetLiveConfigurationAsync()
{
var config = new Dictionary<string, object>();
// Real-time user metrics
config["current_online_users"] = await GetCurrentOnlineUsersAsync();
config["recent_orders"] = await GetRecentOrdersAsync();
config["system_health"] = await GetSystemHealthAsync();
return config;
}
private async Task<int> GetCurrentOnlineUsersAsync()
{
var fiveMinutesAgo = DateTime.UtcNow.AddMinutes(-5);
return await _context.Users
.Where(u => u.LastActivity >= fiveMinutesAgo)
.CountAsync();
}
private async Task<List<Order>> GetRecentOrdersAsync()
{
var oneHourAgo = DateTime.UtcNow.AddHours(-1);
return await _context.Orders
.Where(o => o.CreatedDate >= oneHourAgo)
.OrderByDescending(o => o.CreatedDate)
.Take(10)
.ToListAsync();
}
private async Task<Dictionary<string, object>> GetSystemHealthAsync()
{
var health = new Dictionary<string, object>();
// Database connection health
health["database_connected"] = await TestDatabaseConnectionAsync();
// Query performance
health["avg_query_time_ms"] = await GetAverageQueryTimeAsync();
// Connection pool status
health["active_connections"] = await GetActiveConnectionsAsync();
return health;
}
private async Task<bool> TestDatabaseConnectionAsync()
{
try
{
await _context.Database.OpenConnectionAsync();
await _context.Database.CloseConnectionAsync();
return true;
}
catch
{
return false;
}
}
private async Task<double> GetAverageQueryTimeAsync()
{
// This would typically come from your monitoring system
// For now, we'll return a placeholder
return 15.5;
}
private async Task<int> GetActiveConnectionsAsync()
{
var result = await _context.Database
.SqlQueryRaw<int>("SELECT count(*) FROM pg_stat_activity WHERE state = 'active'")
.FirstOrDefaultAsync();
return result;
}
}🛠️ Real-World Database Scenarios
- E-commerce analytics: Real-time sales and inventory data - User management: Live user statistics and metrics - System monitoring: Database health and performance metrics - Reporting: Aggregated data for dashboards🧩 Best Practices
- Use connection pooling - Optimize queries with projections - Implement proper indexing - Use transactions for data consistency - Monitor query performance🏁 You're Ready!
You can now: - Integrate databases with C# TuskLang apps - Optimize queries for performance - Implement database migrations - Use real-time data in configurations
Next: API Integration
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"We don't bow to any king" - Your data mastery, your query optimization, your database excellence.
Master your data. Optimize your queries. 🗄️