Add Zabbix-like trends table for large date ranges

- Create server_metrics_trends table for pre-aggregated hourly data
- Add aggregate_metrics.php cron (runs hourly)
- Add backfill_trends.php to populate historical data
- ServerDetailController: <=24h use raw, >24h use trends table
- This dramatically improves query speed for 7d/30d periods

cron/aggregate_metrics.php

@@ -0,0 +1,74 @@
+#!/usr/bin/env php
+<?php
+// cron/aggregate_metrics.php
+// Запускать каждый час: 0 * * * * /usr/bin/php /var/www/mon/cron/aggregate_metrics.php
+
+require __DIR__ . '/../vendor/autoload.php';
+
+$config = require __DIR__ . '/../config/DatabaseConfig.php';
+
+// Получаем соединение
+$pdo = new PDO("mysql:host={$config['host']};dbname={$config['db_name']};charset=utf8mb4", 
+    $config['username'], $config['password'], [
+    PDO::ATTR_ERRMODE => PDO::ERRMODE_EXCEPTION
+]);
+
+// Вычисляем период - прошлый час (00:00 - 00:59)
+$hourStart = new DateTime();
+$hourStart->modify('-1 hour');
+$hourStart->setMinute(0)->setSecond(0);
+
+$hourEnd = clone $hourStart;
+$hourEnd->modify('+59 minutes +59 seconds');
+
+$periodStartStr = $hourStart->format('Y-m-d H:i:s');
+$periodEndStr = $hourEnd->format('Y-m-d H:i:s');
+
+// Получаем все серверы
+$stmt = $pdo->query("SELECT id FROM servers WHERE deleted_at IS NULL");
+$servers = $stmt->fetchAll(PDO::FETCH_COLUMN);
+
+$processed = 0;
+$errors = 0;
+
+foreach ($servers as $serverId) {
+    // Агрегируем данные за прошлый час для каждой метрики сервера
+    $sql = "
+        INSERT INTO server_metrics_trends (server_id, metric_name_id, period_start, avg_value, min_value, max_value, count_samples)
+        SELECT 
+            sm.server_id,
+            sm.metric_name_id,
+            :period_start,
+            AVG(sm.value),
+            MIN(sm.value),
+            MAX(sm.value),
+            COUNT(*)
+        FROM server_metrics sm
+        WHERE sm.server_id = :server_id
+        AND sm.created_at >= :start_date
+        AND sm.created_at <= :end_date
+        GROUP BY sm.server_id, sm.metric_name_id
+        ON DUPLICATE KEY UPDATE 
+            avg_value = VALUES(avg_value),
+            min_value = VALUES(min_value),
+            max_value = VALUES(max_value),
+            count_samples = VALUES(count_samples),
+            created_at = NOW()
+    ";
+    
+    try {
+        $stmt = $pdo->prepare($sql);
+        $stmt->execute([
+            ':server_id' => $serverId,
+            ':period_start' => $periodStartStr,
+            ':start_date' => $periodStartStr,
+            ':end_date' => $periodEndStr
+        ]);
+        $processed++;
+    } catch (Exception $e) {
+        $errors++;
+        error_log("Server $serverId: " . $e->getMessage());
+    }
+}
+
+echo "Aggregated: $processed servers, $errors errors\n";

cron/backfill_trends.php

@@ -0,0 +1,71 @@
+#!/usr/bin/env php
+<?php
+// cron/backfill_trends.php - запустить один раз для заполнения трендов
+require __DIR__ . '/../vendor/autoload.php';
+
+$pdo = new PDO("mysql:host=localhost;dbname=monitoring_system;charset=utf8mb4", "mon_user", "mon_password_123", [
+    PDO::ATTR_ERRMODE => PDO::ERRMODE_EXCEPTION
+]);
+
+// Заполняем за последние 48 часов (можно увеличить)
+$hours = 48;
+$processed = 0;
+$errors = 0;
+
+for ($i = 1; $i <= $hours; $i++) {
+    $hourStart = new DateTime();
+    $hourStart->modify("-{$i} hour");
+    $hourStart->setMinute(0)->setSecond(0);
+    
+    $hourEnd = clone $hourStart;
+    $hourEnd->modify('+59 minutes +59 seconds');
+    
+    $periodStartStr = $hourStart->format('Y-m-d H:00:00');
+    $periodEndStr = $hourEnd->format('Y-m-d H:59:59');
+    
+    // Получаем все серверы
+    $stmt = $pdo->query("SELECT id FROM servers WHERE deleted_at IS NULL");
+    $servers = $stmt->fetchAll(PDO::FETCH_COLUMN);
+    
+    foreach ($servers as $serverId) {
+        $sql = "
+            INSERT INTO server_metrics_trends (server_id, metric_name_id, period_start, avg_value, min_value, max_value, count_samples)
+            SELECT 
+                sm.server_id,
+                sm.metric_name_id,
+                :period_start,
+                AVG(sm.value),
+                MIN(sm.value),
+                MAX(sm.value),
+                COUNT(*)
+            FROM server_metrics sm
+            WHERE sm.server_id = :server_id
+            AND sm.created_at >= :start_date
+            AND sm.created_at <= :end_date
+            GROUP BY sm.server_id, sm.metric_name_id
+            ON DUPLICATE KEY UPDATE 
+                avg_value = VALUES(avg_value),
+                min_value = VALUES(min_value),
+                max_value = VALUES(max_value),
+                count_samples = VALUES(count_samples),
+                created_at = NOW()
+        ";
+        
+        try {
+            $stmt = $pdo->prepare($sql);
+            $stmt->execute([
+                ':server_id' => $serverId,
+                ':period_start' => $periodStartStr,
+                ':start_date' => $periodStartStr,
+                ':end_date' => $periodEndStr
+            ]);
+            $processed++;
+        } catch (Exception $e) {
+            $errors++;
+        }
+    }
+    
+    echo "Processed hour: $periodStartStr ($processed servers)\n";
+}
+
+echo "Done! Processed: $processed, Errors: $errors\n";

src/Controllers/ServerDetailController.php

@@ -144,43 +144,80 @@ class ServerDetailController extends Model
             $metricsFilter = 'AND mn.name IN (' . implode(', ', $placeholders) . ')';
         }
         
+// Определяем источник данных на основе периода
+        // <= 24 часа: raw данные (высокая точность)
+        // > 24 часов: trends таблица (агрегированные данные)
+        
+        $isRawData = $totalMinutes <= 1440; // 24 часа = 1440 минут
+        
         // Запрос с агрегацией если нужно
-        if ($groupBy) {
+        if ($isRawData) {
-            // GROUP BY автоматически агрегирует до нужного количества точек (500 для любого периода)
+            // Читаем из raw данных
+            $timeExpr = "DATE_FORMAT(sm.created_at, '{$bucketFormat}')";
             $sql = "
                 SELECT 
-                    AVG(sm.value) as value,
+                    AVG(t.value) as value,
+                    t.name,
+                    t.unit,
+                    t.time_bucket
+                FROM (
+                    SELECT 
+                        sm.value, 
                         mn.name, 
                         mn.unit,
-                    DATE_FORMAT(sm.created_at, '{$bucketFormat}') as time_bucket
+                        {$timeExpr} as time_bucket,
+                        ROW_NUMBER() OVER (
+                            PARTITION BY mn.name, {$timeExpr} 
+                            ORDER BY sm.created_at DESC
+                        ) as rn
                     FROM server_metrics sm
-                FORCE INDEX (idx_server_metric_time)
                     INNER JOIN metric_names mn ON mn.id = sm.metric_name_id
                     WHERE sm.server_id = :id
                     AND sm.created_at >= :start_date
                     AND sm.created_at <= :end_date
                     AND 1=1 {$metricsFilter}
-                {$groupBy}
+                ) t
-                ORDER BY time_bucket ASC
+                WHERE t.rn = 1
+                GROUP BY t.name, t.unit, t.time_bucket
+                ORDER BY t.time_bucket ASC
             ";
             $stmt = $this->pdo->prepare($sql);
             $executeParams = array_merge([':id' => $id, ':start_date' => $startStr, ':end_date' => $endStr], $metricParams);
             $stmt->execute($executeParams);
         } else {
+            // Читаем из trends таблицы (быстрый запрос для больших периодов)
+            $periodStartStr = $startDate->format('Y-m-d H:00:00');
+            $periodEndStr = $endDate->format('Y-m-d H:59:59');
+            
             $sql = "
-                SELECT sm.value, mn.name, mn.unit, sm.created_at
+                SELECT 
-                FROM server_metrics sm
+                    t.avg_value as value,
-                FORCE INDEX (idx_server_metric_time)
+                    mn.name,
-                JOIN metric_names mn ON mn.id = sm.metric_name_id
+                    mn.unit,
-                WHERE sm.server_id = :id
+                    t.period_start as time_bucket
-                AND sm.created_at >= :start_date
+                FROM server_metrics_trends t
-                AND sm.created_at <= :end_date
+                INNER JOIN metric_names mn ON mn.id = t.metric_name_id
-                {$metricsFilter}
+                WHERE t.server_id = :id
-                ORDER BY sm.created_at ASC
+                AND t.period_start >= :period_start
-                LIMIT 5000
+                AND t.period_start <= :period_end
+                AND 1=1 {$metricsFilter}
+                ORDER BY t.period_start ASC
             ";
+            
+            // Конвертируем имена метрик в ID для filters
+            $metricIds = [];
+            if ($displayMetrics) {
+                $placeholders = [];
+                foreach ($displayMetrics as $i => $m) {
+                    $key = ':metric_' . $i;
+                    $placeholders[] = $key;
+                    $metricParams[$key] = $m;
+                }
+                $metricsFilter = 'AND mn.name IN (' . implode(', ', $placeholders) . ')';
+            }
+            
             $stmt = $this->pdo->prepare($sql);
-            $executeParams = array_merge([':id' => $id, ':start_date' => $startStr, ':end_date' => $endStr], $metricParams);
+            $executeParams = array_merge([':id' => $id, ':period_start' => $periodStartStr, ':period_end' => $periodEndStr], $metricParams);
             $stmt->execute($executeParams);
         }