//! Database Performance Optimizations for HFT Trading
//!
//! This module implements database-specific optimizations for ultra-low latency:
//! - Connection pooling with dedicated threads
//! - Prepared statement caching
//! - Batch insert/update optimizations  
//! - Memory-mapped database operations
//! - Write-ahead logging optimization
//! - Index optimization for time-series data

use std::time::Duration;

use sqlx::{

use crate::{MarketTick, Position, basic::Price};
use super::*;

    #[test]
    fn test_database_metrics() {
        let metrics = DatabaseMetrics {
            active_connections: 10,
            total_queries: 1000,
            average_query_time: 1.5,
            cache_hit_ratio: 0.95,
        };

        assert_eq!(metrics.active_connections, 10);
        assert_eq!(metrics.total_queries, 1000);
        assert!((metrics.average_query_time - 1.5).abs() < f64::EPSILON);
        assert!((metrics.cache_hit_ratio - 0.95).abs() < f32::EPSILON);
    }

    #[test]
    fn test_schema_generation() {
        let schema = DatabaseOptimizer::generate_optimized_schema();
        assert!(schema.contains("CREATE TABLE IF NOT EXISTS orders"));
        assert!(schema.contains("CREATE INDEX CONCURRENTLY"));
        assert!(schema.contains("PARTITION BY RANGE"));
    }

    #[test]
    fn test_monitoring_queries() {
        let queries = DatabaseOptimizer::monitoring_queries();
        assert!(!queries.is_empty());
        assert!(queries[0].contains("active_connections"));
    }
}
