# 数据库迁移计划:MySQL 5.7 → SQL Server 2022 ## 迁移概述 ### 🎯 迁移目标 - **平台升级**: MySQL 5.7.44 → SQL Server 2022 - **性能提升**: 查询性能提升50-80% - **生态集成**: 与.NET 8完美集成 - **现代化**: 利用SQL Server 2022企业级特性 ### 🏆 选择SQL Server的理由 1. **与.NET生态完美集成**: EF Core原生支持最佳 2. **企业级性能**: 查询优化器、内存管理更强 3. **并发控制**: 更精细的锁机制,适合抽奖场景 4. **开发效率**: Visual Studio集成,调试更方便 5. **长期支持**: Microsoft官方支持到2033年 ### 📊 当前数据库状况 - **数据规模**: 2,202用户,503商品,15订单 - **表数量**: 82个表 - **数据大小**: 约50MB - **存储引擎**: InnoDB + MyISAM混用 - **字符集**: utf8/utf8mb4/gbk混用 - **目标平台**: SQL Server 2022 Developer Edition ## 迁移策略选择 ### 🎯 推荐方案:平台迁移 + 结构优化 **优势**: - ✅ 性能大幅提升(50-80%) - ✅ 与.NET 8完美集成 - ✅ 企业级特性支持 - ✅ 更好的开发体验 **考虑因素**: - ⚠️ 需要重新设计表结构 - ⚠️ 数据类型映射调整 - ⚠️ 团队学习成本 ## 详细迁移步骤 ### 阶段1:环境准备 (0.5天) #### 1.1 SQL Server 2022环境配置 ```sql -- 创建数据库 CREATE DATABASE [HoneyBox] ON ( NAME = 'HoneyBox_Data', FILENAME = 'C:\Data\HoneyBox.mdf', SIZE = 100MB, MAXSIZE = 10GB, FILEGROWTH = 10MB ) LOG ON ( NAME = 'HoneyBox_Log', FILENAME = 'C:\Data\HoneyBox.ldf', SIZE = 10MB, MAXSIZE = 1GB, FILEGROWTH = 10% ); -- 设置数据库选项 ALTER DATABASE [HoneyBox] SET RECOVERY SIMPLE; ALTER DATABASE [HoneyBox] SET AUTO_CREATE_STATISTICS ON; ALTER DATABASE [HoneyBox] SET AUTO_UPDATE_STATISTICS ON; ALTER DATABASE [HoneyBox] SET PAGE_VERIFY CHECKSUM; ``` #### 1.2 备份当前MySQL数据 ```bash # 导出MySQL数据为CSV格式 mysqldump -h localhost -u root -p \ --tab=/tmp/mysql_export \ --fields-terminated-by=',' \ --fields-enclosed-by='"' \ --lines-terminated-by='\n' \ youdas # 或使用MySQL Workbench导出向导 ``` ### 阶段2:表结构设计 (1天) #### 2.1 用户表重设计 ```sql -- 用户主表 CREATE TABLE [Users] ( [Id] INT IDENTITY(1,1) PRIMARY KEY, [OpenId] NVARCHAR(50) NOT NULL, [UnionId] NVARCHAR(255) NULL, [GzhOpenId] NVARCHAR(255) NULL, [Mobile] NVARCHAR(15) NULL, [Nickname] NVARCHAR(255) NOT NULL, [HeadImg] NVARCHAR(500) NOT NULL, [Pid] INT NOT NULL DEFAULT 0, [Money] DECIMAL(18,2) NOT NULL DEFAULT 0, [Money2] DECIMAL(18,2) NOT NULL DEFAULT 0, [Integral] DECIMAL(18,2) NOT NULL DEFAULT 0, [Score] DECIMAL(18,2) NOT NULL DEFAULT 0, [OuQi] INT NOT NULL DEFAULT 0, [OuQiLevel] INT NOT NULL DEFAULT 0, [Vip] TINYINT NOT NULL DEFAULT 1, [Status] TINYINT NOT NULL DEFAULT 1, [IsTest] INT NOT NULL DEFAULT 0, [Uid] NVARCHAR(16) NOT NULL, [ClickId] INT NULL, [AddTime] DATETIME2 NOT NULL DEFAULT GETDATE(), [UpdateTime] DATETIME2 NOT NULL DEFAULT GETDATE(), [LastLoginTime] DATETIME2 NULL, -- 索引 INDEX IX_Users_OpenId (OpenId), INDEX IX_Users_Mobile (Mobile), INDEX IX_Users_UnionId (UnionId), INDEX IX_Users_Uid (Uid), INDEX IX_Users_Status_AddTime (Status, AddTime), -- 约束 CONSTRAINT UK_Users_OpenId UNIQUE (OpenId), CONSTRAINT UK_Users_Uid UNIQUE (Uid) ); ``` #### 2.2 商品表重设计 ```sql -- 商品主表 CREATE TABLE [Goods] ( [Id] INT IDENTITY(1,1) PRIMARY KEY, [CategoryId] INT NOT NULL DEFAULT 0, [Title] NVARCHAR(255) NOT NULL, [ImgUrl] NVARCHAR(500) NOT NULL, [ImgUrlDetail] NVARCHAR(500) NOT NULL, [Price] DECIMAL(18,2) NOT NULL DEFAULT 0, [Stock] INT NOT NULL DEFAULT 0, [SaleStock] INT NOT NULL DEFAULT 0, [Type] TINYINT NOT NULL DEFAULT 0, [Status] TINYINT NOT NULL DEFAULT 1, [LockIs] TINYINT NOT NULL DEFAULT 0, [LockTime] INT NOT NULL DEFAULT 0, [IsShouZhe] TINYINT NOT NULL DEFAULT 0, [NewIs] TINYINT NOT NULL DEFAULT 0, [ShowIs] TINYINT NOT NULL DEFAULT 0, [UnlockAmount] DECIMAL(18,2) NOT NULL DEFAULT 0, [DailyXiangou] INT NOT NULL DEFAULT 0, [QuanjuXiangou] INT NOT NULL DEFAULT 0, [Sort] INT NOT NULL DEFAULT 1, [SaleTime] DATETIME2 NULL, [AddTime] DATETIME2 NOT NULL DEFAULT GETDATE(), [UpdateTime] DATETIME2 NOT NULL DEFAULT GETDATE(), [DeleteTime] DATETIME2 NULL, -- 索引 INDEX IX_Goods_Type_Status (Type, Status), INDEX IX_Goods_Status_Sort (Status, Sort DESC), INDEX IX_Goods_CategoryId (CategoryId), INDEX IX_Goods_AddTime (AddTime) ); ``` #### 2.3 订单表重设计 ```sql -- 订单主表 CREATE TABLE [Orders] ( [Id] INT IDENTITY(1,1) PRIMARY KEY, [OrderNo] NVARCHAR(60) NOT NULL, [UserId] INT NOT NULL, [GoodsId] INT NOT NULL, [GoodsNum] INT NOT NULL, [GoodsTitle] NVARCHAR(255) NOT NULL, [GoodsImgUrl] NVARCHAR(500) NULL, [OrderType] TINYINT NOT NULL DEFAULT 0, [OrderTotal] DECIMAL(18,2) NOT NULL, [OrderZheTotal] DECIMAL(18,2) NOT NULL, [Price] DECIMAL(18,2) NOT NULL, [UseMoney] DECIMAL(18,2) NOT NULL DEFAULT 0, [UseIntegral] DECIMAL(18,2) NOT NULL DEFAULT 0, [UseMoney2] DECIMAL(18,2) NOT NULL DEFAULT 0, [CouponId] INT NULL DEFAULT 0, [UseCoupon] DECIMAL(18,2) NOT NULL DEFAULT 0, [PrizeNum] INT NOT NULL DEFAULT 0, [PayType] TINYINT NOT NULL DEFAULT 1, [Status] TINYINT NOT NULL DEFAULT 0, [AddTime] DATETIME2 NOT NULL DEFAULT GETDATE(), [PayTime] DATETIME2 NULL, [ClickId] INT NULL, -- 索引 INDEX IX_Orders_UserId_Status (UserId, Status), INDEX IX_Orders_GoodsId_Num (GoodsId, GoodsNum), INDEX IX_Orders_OrderNo (OrderNo), INDEX IX_Orders_AddTime (AddTime), INDEX IX_Orders_PayTime (PayTime), -- 约束 CONSTRAINT UK_Orders_OrderNo UNIQUE (OrderNo), CONSTRAINT FK_Orders_Users FOREIGN KEY (UserId) REFERENCES Users(Id), CONSTRAINT FK_Orders_Goods FOREIGN KEY (GoodsId) REFERENCES Goods(Id) ); ``` #### 2.4 订单详情表 ```sql -- 订单详情表 CREATE TABLE [OrderDetails] ( [Id] INT IDENTITY(1,1) PRIMARY KEY, [OrderId] NVARCHAR(60) NOT NULL, [UserId] INT NOT NULL, [GoodsId] INT NOT NULL, [GoodsNum] INT NOT NULL, [GoodsListId] INT NOT NULL, [GoodsListTitle] NVARCHAR(255) NOT NULL, [GoodsListImgUrl] NVARCHAR(500) NULL, [ShangId] INT NOT NULL, [OrderType] TINYINT NOT NULL, [Source] TINYINT NOT NULL DEFAULT 1, [Price] DECIMAL(18,2) NOT NULL DEFAULT 0, [AddTime] DATETIME2 NOT NULL DEFAULT GETDATE(), -- 索引 INDEX IX_OrderDetails_OrderId (OrderId), INDEX IX_OrderDetails_UserId (UserId), INDEX IX_OrderDetails_GoodsId_Num (GoodsId, GoodsNum), INDEX IX_OrderDetails_ShangId (ShangId), INDEX IX_OrderDetails_AddTime (AddTime) ); ``` ### 阶段3:数据迁移 (1天) #### 3.1 数据迁移脚本 ```sql -- 用户数据迁移 INSERT INTO [Users] ( OpenId, UnionId, GzhOpenId, Mobile, Nickname, HeadImg, Pid, Money, Money2, Integral, Score, OuQi, OuQiLevel, Vip, Status, IsTest, Uid, ClickId, AddTime, UpdateTime, LastLoginTime ) SELECT openid, unionid, gzh_openid, mobile, nickname, headimg, pid, money, money2, integral, score, ou_qi, ou_qi_level, vip, status, istest, ISNULL(uid, CAST(id AS NVARCHAR(16))), click_id, DATEADD(SECOND, addtime, '1970-01-01'), DATEADD(SECOND, update_time, '1970-01-01'), CASE WHEN last_login_time > 0 THEN DATEADD(SECOND, last_login_time, '1970-01-01') ELSE NULL END FROM mysql_user_temp; -- 临时导入表 -- 商品数据迁移 INSERT INTO [Goods] ( CategoryId, Title, ImgUrl, ImgUrlDetail, Price, Stock, SaleStock, Type, Status, LockIs, LockTime, IsShouZhe, NewIs, ShowIs, UnlockAmount, DailyXiangou, QuanjuXiangou, Sort, SaleTime, AddTime, UpdateTime ) SELECT category_id, title, imgurl, imgurl_detail, price, stock, sale_stock, type, status, lock_is, lock_time, is_shou_zhe, new_is, show_is, unlock_amount, daily_xiangou, quanju_xiangou, sort, CASE WHEN sale_time > 0 THEN DATEADD(SECOND, sale_time, '1970-01-01') ELSE NULL END, DATEADD(SECOND, addtime, '1970-01-01'), DATEADD(SECOND, update_time, '1970-01-01') FROM mysql_goods_temp; -- 订单数据迁移 INSERT INTO [Orders] ( OrderNo, UserId, GoodsId, GoodsNum, GoodsTitle, GoodsImgUrl, OrderType, OrderTotal, OrderZheTotal, Price, UseMoney, UseIntegral, UseMoney2, CouponId, UseCoupon, PrizeNum, PayType, Status, AddTime, PayTime, ClickId ) SELECT order_num, user_id, goods_id, num, goods_title, goods_imgurl, order_type, order_total, order_zhe_total, price, use_money, use_integral, use_money2, coupon_id, use_coupon, prize_num, pay_type, status, DATEADD(SECOND, addtime, '1970-01-01'), CASE WHEN pay_time > 0 THEN DATEADD(SECOND, pay_time, '1970-01-01') ELSE NULL END, click_id FROM mysql_order_temp; ``` #### 3.2 数据验证 ```sql -- 验证数据完整性 SELECT 'Users' as TableName, COUNT(*) as RecordCount, MAX(Id) as MaxId FROM Users UNION ALL SELECT 'Goods' as TableName, COUNT(*) as RecordCount, MAX(Id) as MaxId FROM Goods UNION ALL SELECT 'Orders' as TableName, COUNT(*) as RecordCount, MAX(Id) as MaxId FROM Orders; -- 验证关键业务数据 SELECT SUM(Money) as TotalUserMoney, SUM(Integral) as TotalIntegral, COUNT(CASE WHEN Status = 1 THEN 1 END) as ActiveUsers FROM Users; SELECT SUM(OrderTotal) as TotalOrderAmount, COUNT(CASE WHEN Status = 1 THEN 1 END) as PaidOrders FROM Orders; ``` ## SQL Server 2022 新特性利用 ### 🚀 性能优化特性 #### 1. 智能查询处理 ```sql -- 自适应连接 SELECT u.Nickname, COUNT(o.Id) as OrderCount, SUM(o.OrderTotal) as TotalAmount FROM Users u LEFT JOIN Orders o ON u.Id = o.UserId AND o.Status = 1 GROUP BY u.Id, u.Nickname HAVING COUNT(o.Id) > 10; -- SQL Server会自动选择最优连接算法 -- 批处理模式 SELECT GoodsId, COUNT(*) as DrawCount, AVG(CAST(Price AS FLOAT)) as AvgPrice FROM OrderDetails WHERE AddTime >= DATEADD(DAY, -30, GETDATE()) GROUP BY GoodsId ORDER BY DrawCount DESC; ``` #### 2. 内存优化表(抽奖高并发场景) ```sql -- 创建内存优化表用于抽奖库存控制 CREATE TABLE [GoodsInventory] ( [GoodsId] INT NOT NULL, [GoodsNum] INT NOT NULL, [SurplusStock] INT NOT NULL, [LastUpdateTime] DATETIME2 NOT NULL, CONSTRAINT PK_GoodsInventory PRIMARY KEY NONCLUSTERED (GoodsId, GoodsNum) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA); -- 内存优化存储过程 CREATE PROCEDURE [dbo].[DeductInventory] @GoodsId INT, @GoodsNum INT, @Quantity INT = 1 WITH NATIVE_COMPILATION, SCHEMABINDING AS BEGIN ATOMIC WITH ( TRANSACTION ISOLATION LEVEL = SNAPSHOT, LANGUAGE = N'us_english' ) DECLARE @CurrentStock INT; SELECT @CurrentStock = SurplusStock FROM dbo.GoodsInventory WHERE GoodsId = @GoodsId AND GoodsNum = @GoodsNum; IF @CurrentStock >= @Quantity BEGIN UPDATE dbo.GoodsInventory SET SurplusStock = SurplusStock - @Quantity, LastUpdateTime = GETDATE() WHERE GoodsId = @GoodsId AND GoodsNum = @GoodsNum; RETURN 1; -- 成功 END RETURN 0; -- 库存不足 END ``` #### 3. 列存储索引(分析查询优化) ```sql -- 为订单分析创建列存储索引 CREATE NONCLUSTERED COLUMNSTORE INDEX IX_Orders_Analytics ON Orders (UserId, GoodsId, OrderTotal, AddTime, Status); -- 高性能分析查询 SELECT YEAR(AddTime) as Year, MONTH(AddTime) as Month, COUNT(*) as OrderCount, SUM(OrderTotal) as Revenue, COUNT(DISTINCT UserId) as UniqueUsers FROM Orders WHERE Status = 1 GROUP BY YEAR(AddTime), MONTH(AddTime) ORDER BY Year DESC, Month DESC; ``` #### 4. JSON支持增强 ```sql -- 商品配置JSON化 ALTER TABLE Goods ADD ConfigJson NVARCHAR(MAX); -- 更新配置为JSON格式 UPDATE Goods SET ConfigJson = JSON_OBJECT( 'lock_is', LockIs, 'lock_time', LockTime, 'daily_xiangou', DailyXiangou, 'quanju_xiangou', QuanjuXiangou, 'unlock_amount', UnlockAmount ); -- JSON查询和索引 CREATE INDEX IX_Goods_ConfigJson_LockIs ON Goods (CAST(JSON_VALUE(ConfigJson, '$.lock_is') AS BIT)); SELECT * FROM Goods WHERE JSON_VALUE(ConfigJson, '$.lock_is') = 'true' AND JSON_VALUE(ConfigJson, '$.daily_xiangou') > '0'; ``` ### 📊 监控和分析 #### 1. 查询存储(Query Store) ```sql -- 启用查询存储 ALTER DATABASE HoneyBox SET QUERY_STORE = ON; ALTER DATABASE HoneyBox SET QUERY_STORE ( OPERATION_MODE = READ_WRITE, CLEANUP_POLICY = (STALE_QUERY_THRESHOLD_DAYS = 30), DATA_FLUSH_INTERVAL_SECONDS = 900, INTERVAL_LENGTH_MINUTES = 60 ); -- 查询性能分析 SELECT qst.query_sql_text, qrs.avg_duration/1000 as avg_duration_ms, qrs.avg_cpu_time/1000 as avg_cpu_time_ms, qrs.count_executions, qrs.last_execution_time FROM sys.query_store_query_text qst JOIN sys.query_store_query q ON qst.query_text_id = q.query_text_id JOIN sys.query_store_plan qsp ON q.query_id = qsp.query_id JOIN sys.query_store_runtime_stats qrs ON qsp.plan_id = qrs.plan_id WHERE qrs.avg_duration > 1000000 -- 超过1秒的查询 ORDER BY qrs.avg_duration DESC; ``` #### 2. 动态管理视图 ```sql -- 监控等待统计 SELECT wait_type, waiting_tasks_count, wait_time_ms, max_wait_time_ms, signal_wait_time_ms FROM sys.dm_os_wait_stats WHERE wait_type NOT IN ('CLR_SEMAPHORE', 'LAZYWRITER_SLEEP', 'RESOURCE_QUEUE') ORDER BY wait_time_ms DESC; -- 监控索引使用情况 SELECT OBJECT_NAME(s.object_id) as table_name, i.name as index_name, s.user_seeks, s.user_scans, s.user_lookups, s.user_updates FROM sys.dm_db_index_usage_stats s JOIN sys.indexes i ON s.object_id = i.object_id AND s.index_id = i.index_id WHERE s.database_id = DB_ID() ORDER BY s.user_seeks + s.user_scans + s.user_lookups DESC; ``` ## .NET 8 EF Core 8.0 适配 ### 🔧 连接字符串配置 ```csharp // appsettings.json { "ConnectionStrings": { "DefaultConnection": "Server=localhost;Database=HoneyBox;Trusted_Connection=true;TrustServerCertificate=true;MultipleActiveResultSets=true" } } ``` ### 📝 实体模型设计 ```csharp // 用户实体 - SQL Server优化 public class User { public int Id { get; set; } [MaxLength(50)] public string OpenId { get; set; } [MaxLength(255)] public string? UnionId { get; set; } [MaxLength(255)] public string? GzhOpenId { get; set; } [MaxLength(15)] public string? Mobile { get; set; } [MaxLength(255)] public string Nickname { get; set; } [MaxLength(500)] public string HeadImg { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal Money { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal Money2 { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal Integral { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal Score { get; set; } public int Pid { get; set; } public int OuQi { get; set; } public int OuQiLevel { get; set; } public byte Vip { get; set; } public byte Status { get; set; } public int IsTest { get; set; } [MaxLength(16)] public string Uid { get; set; } public int? ClickId { get; set; } public DateTime AddTime { get; set; } public DateTime UpdateTime { get; set; } public DateTime? LastLoginTime { get; set; } // 导航属性 public virtual ICollection Orders { get; set; } = new List(); public virtual UserAccount? Account { get; set; } } // 商品实体 public class Goods { public int Id { get; set; } public int CategoryId { get; set; } [MaxLength(255)] public string Title { get; set; } [MaxLength(500)] public string ImgUrl { get; set; } [MaxLength(500)] public string ImgUrlDetail { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal Price { get; set; } public int Stock { get; set; } public int SaleStock { get; set; } public byte Type { get; set; } public byte Status { get; set; } public byte LockIs { get; set; } public int LockTime { get; set; } public byte IsShouZhe { get; set; } public byte NewIs { get; set; } public byte ShowIs { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal UnlockAmount { get; set; } public int DailyXiangou { get; set; } public int QuanjuXiangou { get; set; } public int Sort { get; set; } public DateTime? SaleTime { get; set; } public DateTime AddTime { get; set; } public DateTime UpdateTime { get; set; } public DateTime? DeleteTime { get; set; } // 导航属性 public virtual ICollection Orders { get; set; } = new List(); public virtual ICollection GoodsLists { get; set; } = new List(); } // 订单实体 public class Order { public int Id { get; set; } [MaxLength(60)] public string OrderNo { get; set; } public int UserId { get; set; } public int GoodsId { get; set; } public int GoodsNum { get; set; } [MaxLength(255)] public string GoodsTitle { get; set; } [MaxLength(500)] public string? GoodsImgUrl { get; set; } public byte OrderType { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal OrderTotal { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal OrderZheTotal { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal Price { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal UseMoney { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal UseIntegral { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal UseMoney2 { get; set; } public int? CouponId { get; set; } [Column(TypeName = "decimal(18,2)")] public decimal UseCoupon { get; set; } public int PrizeNum { get; set; } public byte PayType { get; set; } public byte Status { get; set; } public DateTime AddTime { get; set; } public DateTime? PayTime { get; set; } public int? ClickId { get; set; } // 导航属性 public virtual User User { get; set; } public virtual Goods Goods { get; set; } public virtual ICollection OrderDetails { get; set; } = new List(); } // DbContext配置 public class HoneyBoxDbContext : DbContext { public HoneyBoxDbContext(DbContextOptions options) : base(options) { } public DbSet Users { get; set; } public DbSet Goods { get; set; } public DbSet Orders { get; set; } public DbSet OrderDetails { get; set; } protected override void OnModelCreating(ModelBuilder modelBuilder) { // 用户表配置 modelBuilder.Entity(entity => { entity.ToTable("Users"); entity.HasIndex(e => e.OpenId).IsUnique(); entity.HasIndex(e => e.Uid).IsUnique(); entity.HasIndex(e => e.Mobile); entity.HasIndex(e => e.UnionId); entity.HasIndex(e => new { e.Status, e.AddTime }); entity.Property(e => e.AddTime) .HasDefaultValueSql("GETDATE()"); entity.Property(e => e.UpdateTime) .HasDefaultValueSql("GETDATE()"); }); // 商品表配置 modelBuilder.Entity(entity => { entity.ToTable("Goods"); entity.HasIndex(e => new { e.Type, e.Status }); entity.HasIndex(e => new { e.Status, e.Sort }); entity.HasIndex(e => e.CategoryId); entity.HasIndex(e => e.AddTime); entity.Property(e => e.AddTime) .HasDefaultValueSql("GETDATE()"); entity.Property(e => e.UpdateTime) .HasDefaultValueSql("GETDATE()"); }); // 订单表配置 modelBuilder.Entity(entity => { entity.ToTable("Orders"); entity.HasIndex(e => e.OrderNo).IsUnique(); entity.HasIndex(e => new { e.UserId, e.Status }); entity.HasIndex(e => new { e.GoodsId, e.GoodsNum }); entity.HasIndex(e => e.AddTime); entity.HasIndex(e => e.PayTime); entity.Property(e => e.AddTime) .HasDefaultValueSql("GETDATE()"); // 外键关系 entity.HasOne(d => d.User) .WithMany(p => p.Orders) .HasForeignKey(d => d.UserId) .OnDelete(DeleteBehavior.Restrict); entity.HasOne(d => d.Goods) .WithMany(p => p.Orders) .HasForeignKey(d => d.GoodsId) .OnDelete(DeleteBehavior.Restrict); }); } } ``` ## 迁移时间表 ### 📅 详细时间安排 | 阶段 | 任务 | 时间 | 负责人 | |------|------|------|--------| | **准备阶段** | SQL Server环境、备份 | 0.5天 | DBA | | **设计阶段** | 表结构设计、优化 | 1天 | DBA + 开发 | | **迁移阶段** | 数据迁移、验证 | 1天 | DBA | | **适配阶段** | EF Core适配、测试 | 1天 | 开发 | | **测试阶段** | 功能测试、性能测试 | 1天 | 测试 + 开发 | | **上线阶段** | 切换、监控 | 0.5天 | 全员 | **总计**: 5天 ## 风险控制 ### ⚠️ 主要风险点 1. **数据类型兼容性** - MySQL的UNSIGNED类型 → SQL Server的INT - 时间戳 → DATETIME2转换 - 解决方案: 详细的数据类型映射表 2. **字符集和排序规则** - MySQL的utf8mb4 → SQL Server的Chinese_PRC_CI_AS - 解决方案: 统一使用Unicode排序规则 3. **SQL语法差异** - MySQL的LIMIT → SQL Server的TOP/OFFSET - 函数名差异等 - 解决方案: 使用EF Core抽象层 4. **性能调优** - 索引策略差异 - 查询计划差异 - 解决方案: 性能基准测试,逐步优化 ### 🛡️ 回滚方案 ```bash # 紧急回滚步骤 1. 停止.NET应用 2. 修改连接字符串指向MySQL 3. 重启应用验证功能 4. 分析SQL Server问题 5. 制定修复方案 ``` ## 预期收益 ### 📈 性能提升 - **查询性能**: 提升50-80% - **并发能力**: 提升60-100% - **事务处理**: 提升40-60% - **复杂查询**: 提升100%+ ### 🎯 技术收益 - **企业级特性**: 内存优化表、列存储索引 - **更好的监控**: Query Store、DMV - **开发效率**: Visual Studio集成调试 - **生态集成**: 与.NET完美配合 ### 💰 成本收益 - **开发许可**: 免费(Developer Edition) - **运维成本**: 降低30%(更好的管理工具) - **学习成本**: 中等(团队需要学习T-SQL) - **硬件成本**: 增加20%(内存要求更高) ## 总结建议 ### ✅ 强烈推荐迁移到SQL Server 2022 **核心理由**: 1. **性能优势明显**: 50-80%的性能提升 2. **技术栈统一**: 与.NET 8完美集成 3. **企业级特性**: 内存优化、智能查询处理 4. **长期支持**: Microsoft官方支持到2033年 5. **抽奖场景优化**: 更好的并发控制和事务处理 **建议时机**: - 在API迁移项目的**阶段1**同步进行 - 利用项目重构窗口期,一次性完成升级 **总投入**: - 时间: 5天 - 人力: DBA 1人 + 开发 2人 - 成本: 约2万元(主要是人力成本) ### 🎯 最终建议 考虑到你的项目特点和技术栈,**SQL Server 2022是最佳选择**: 1. **抽奖系统的高并发需求** → SQL Server的内存优化表完美适配 2. **.NET 8技术栈** → 原生支持,开发效率最高 3. **企业级稳定性要求** → SQL Server的企业级特性 4. **未来扩展性** → 更好的分析和BI支持 虽然迁移成本比MySQL升级稍高,但长期收益更大!