// 示例：简单的UI调整
const buttonStyle = {
    backgroundColor: '#007bff',  // 颜色调整
    borderRadius: '4px'          // 圆角调整
};

-- 全量数据同步示例
CREATE TABLE orders_gray AS 
SELECT * FROM orders_production 
WHERE created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY);

-- 定期全量同步
INSERT INTO orders_gray 
SELECT * FROM orders_production 
WHERE id NOT IN (SELECT id FROM orders_gray);

// 基于时间戳的增量同步
function incrementalSync(lastSyncTime) {
    const changes = getChangesSince(lastSyncTime);
    
    changes.forEach(change => {
        if (change.type === 'INSERT') {
            insertToGray(change.data);
        } else if (change.type === 'UPDATE') {
            updateInGray(change.data);
        } else if (change.type === 'DELETE') {
            deleteFromGray(change.id);
        }
    });
    
    updateLastSyncTime(new Date());
}

// 基于binlog的增量同步
function binlogSync() {
    const binlogEvents = getBinlogEvents();
    
    binlogEvents.forEach(event => {
        applyToGray(event);
    });
}

// 混合同步策略
const syncStrategies = {
    // 用户数据：实时同步
    user: {
        strategy: 'realtime',
        interval: '1s',
        priority: 'high'
    },
    
    // 订单数据：增量同步
    order: {
        strategy: 'incremental',
        interval: '5m',
        priority: 'medium'
    },
    
    // 日志数据：批量同步
    log: {
        strategy: 'batch',
        interval: '1h',
        priority: 'low'
    }
};

function hybridSync() {
    Object.keys(syncStrategies).forEach(dataType => {
        const config = syncStrategies[dataType];
        
        switch(config.strategy) {
            case 'realtime':
                realtimeSync(dataType);
                break;
            case 'incremental':
                incrementalSync(dataType);
                break;
            case 'batch':
                batchSync(dataType);
                break;
        }
    });
}

-- MySQL主从复制配置
-- 主库配置
[mysqld]
log-bin=mysql-bin
binlog-format=ROW
server-id=1

-- 从库配置
[mysqld]
server-id=2
relay-log=relay-bin
read_only=1

# 使用mysqldump进行数据同步
mysqldump --single-transaction --routines --triggers \
    --host=production-db --user=sync_user --password=password \
    database_name | mysql --host=gray-db --user=gray_user --password=password

# 使用pt-table-sync进行数据一致性检查
pt-table-sync --replicate=test.checksum --sync-to-master \
    h=gray-db,u=gray_user,p=password

// 使用消息队列进行数据同步
const producer = new KafkaProducer();
const consumer = new KafkaConsumer();

// 生产端：记录数据变更
function recordChange(table, operation, data) {
    const message = {
        table: table,
        operation: operation,
        data: data,
        timestamp: new Date(),
        id: generateId()
    };
    
    producer.send('data-sync', message);
}

// 消费端：应用数据变更到灰度环境
consumer.subscribe('data-sync', (message) => {
    const { table, operation, data } = message;
    
    switch(operation) {
        case 'INSERT':
            insertToGray(table, data);
            break;
        case 'UPDATE':
            updateInGray(table, data);
            break;
        case 'DELETE':
            deleteFromGray(table, data.id);
            break;
    }
});

// 通过API进行数据同步
class DataSyncService {
    constructor() {
        this.syncInterval = 5 * 60 * 1000; // 5分钟
        this.lastSyncTime = new Date();
    }
    
    async startSync() {
        setInterval(async () => {
            await this.syncData();
        }, this.syncInterval);
    }
    
    async syncData() {
        try {
            // 获取生产环境变更
            const changes = await this.getProductionChanges(this.lastSyncTime);
            
            // 应用到灰度环境
            for (const change of changes) {
                await this.applyToGray(change);
            }
            
            this.lastSyncTime = new Date();
        } catch (error) {
            console.error('数据同步失败:', error);
            // 告警通知
            this.sendAlert(error);
        }
    }
    
    async getProductionChanges(since) {
        const response = await fetch('/api/sync/changes', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({ since: since.toISOString() })
        });
        
        return response.json();
    }
    
    async applyToGray(change) {
        const response = await fetch('/api/gray/apply', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify(change)
        });
        
        if (!response.ok) {
            throw new Error(`应用变更失败: ${response.statusText}`);
        }
    }
}

// 数据一致性检查
async function checkDataConsistency() {
    const tables = ['users', 'orders', 'products'];
    
    for (const table of tables) {
        const productionCount = await getCount('production', table);
        const grayCount = await getCount('gray', table);
        
        if (Math.abs(productionCount - grayCount) > 100) {
            // 数据不一致，触发告警
            sendAlert(`数据不一致: ${table}`, {
                production: productionCount,
                gray: grayCount,
                diff: productionCount - grayCount
            });
        }
    }
}

// 定期检查
setInterval(checkDataConsistency, 30 * 60 * 1000); // 30分钟检查一次

// 同步监控指标
const syncMetrics = {
    // 同步延迟
    syncDelay: {
        type: 'gauge',
        description: '数据同步延迟时间'
    },
    
    // 同步成功率
    syncSuccessRate: {
        type: 'counter',
        description: '数据同步成功率'
    },
    
    // 同步错误数
    syncErrors: {
        type: 'counter',
        description: '数据同步错误数量'
    },
    
    // 数据一致性
    dataConsistency: {
        type: 'gauge',
        description: '数据一致性状态'
    }
};

// 告警规则
const alertRules = [
    {
        name: '同步延迟过高',
        condition: 'syncDelay > 300', // 5分钟
        severity: 'warning'
    },
    {
        name: '同步失败率过高',
        condition: 'syncSuccessRate < 0.95', // 95%
        severity: 'critical'
    },
    {
        name: '数据不一致',
        condition: 'dataConsistency == 0',
        severity: 'critical'
    }
];

// 自动修复机制
async function autoRepair() {
    try {
        // 1. 停止同步
        await stopSync();
        
        // 2. 检查数据状态
        const status = await checkDataStatus();
        
        // 3. 根据状态选择修复策略
        if (status.corruption) {
            await fullSync(); // 全量同步
        } else if (status.delay > 300) {
            await incrementalSync(); // 增量同步
        } else {
            await resumeSync(); // 恢复同步
        }
        
        // 4. 验证修复结果
        await validateRepair();
        
    } catch (error) {
        // 修复失败，人工介入
        sendAlert('自动修复失败，需要人工介入', error);
    }
}