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* 🐛 fix(data-viewer): 修复ClickHouse尾部分页异常并增强DuckDB复杂类型兼容 - DataViewer 新增 ClickHouse 反向分页策略,修复最后页与倒数页查询失败 - DuckDB 查询失败时按列类型生成安全 SELECT,复杂类型转 VARCHAR 重试 - 分页状态统一使用 currentPage 回填,避免页码与总数推导不一致 - 增强查询异常日志与重试路径,降低大表场景卡顿与误报 * ✨ feat(frontend-driver): 驱动管理支持快速搜索并优化信息展示 - 新增搜索框,支持按 DuckDB/ClickHouse 等关键字快速定位驱动 - 显示“匹配 x / y”统计与无结果提示 - 优化头部区域排版,提升透明/暗色场景下的视觉对齐 * 🔧 fix(connection-modal): 修复多数据源URI导入解析并校正Oracle服务名校验 - 新增单主机URI解析映射,兼容 postgres/postgresql、sqlserver、redis、tdengine、dameng(dm)、kingbase、highgo、vastbase、clickhouse、oracle - 抽取 parseSingleHostUri 复用逻辑,统一 host/port/user/password/database 回填行为 - Oracle 连接新增服务名必填校验,移除“服务名为空回退用户名”的隐式逻辑 - 连接弹窗补充 Oracle 服务名输入项与 URI 示例 * 🐛 fix(query-export): 修复查询结果导出卡住并统一按数据源能力控制导出路径 - 查询结果页导出增加稳定兜底,异常时确保 loading 关闭避免持续转圈 - DataGrid 导出逻辑按数据源能力分流,优先走后端 ExportQuery 并保留结果集导出降级 - QueryEditor 传递结果导出 SQL,保证查询结果导出范围与当前结果一致 - 后端补充 ExportData/ExportQuery 关键日志,提升导出链路可观测性 * 🐛 fix(precision): 修复查询链路与分页统计的大整数精度丢失 - 代理响应数据解码改为 UseNumber,避免默认 float64 吞精度 - 统一归一化 json.Number 与超界整数,超出 JS 安全范围转字符串 - 修复 DataViewer 总数解析,超大值不再误转 Number 参与分页 - refs #142 * 🐛 fix(driver-manager): 修复驱动管理网络告警重复并强化代理引导 - 新增下载链路域名探测,区分“GitHub可达但驱动下载链路不可达” - 网络不可达场景仅保留红色强提醒,移除重复二级告警 - 强提醒增加“打开全局代理设置”入口,优先引导使用 GoNavi 全局代理 - 统一网络检测与目录说明提示图标尺寸,修复加载期视觉不一致 - refs #141 * ♻️ refactor(frontend-interaction): 统一标签拖拽与暗色主题交互实现 - 重构Tab拖拽排序实现,统一为可配置拖拽引擎 - 规范拖拽与点击事件边界,提升交互一致性 - 统一多组件暗色透明样式策略,减少硬编码色值 - 提升Redis/表格/连接面板在透明模式下的观感一致性 - refs #144 * ♻️ refactor(update-state): 重构在线更新状态流并按版本统一进度展示 - 重构更新检查与下载状态同步流程,减少前后端状态分叉 - 进度展示严格绑定 latestVersion,避免跨版本状态串用 - 优化 about 打开场景的静默检查状态回填逻辑 - 统一下载弹窗关闭/后台隐藏行为 - 保持现有安装流程并补齐目录打开能力 * 🎨 style(sidebar-log): 将SQL执行日志入口调整为悬浮胶囊样式 - 移除侧栏底部整条日志入口容器 - 新增悬浮按钮阴影/边框/透明背景并适配明暗主题 - 为树区域预留底部空间避免入口遮挡内容 * ✨ feat(redis-cluster): 支持集群模式逻辑多库隔离与 0-15 库切换 - 前端恢复 Redis 集群场景下 db0-db15 的数据库选择与展示 - 后端新增集群逻辑库命名空间前缀映射,统一 key/pattern 读写隔离 - 覆盖扫描、读取、写入、删除、重命名等核心操作的键映射规则 - 集群命令通道支持 SELECT 逻辑切库与 FLUSHDB 逻辑库清空 - refs #145 * ✨ feat(DataGrid): 大数据表虚拟滚动性能优化及UI一致性修复 - 启用动态虚拟滚动(数据量≥500行自动切换),解决万行数据表卡顿问题 - 虚拟模式下EditableCell改用div渲染,CSS选择器从元素级改为类级适配虚拟DOM - 修复虚拟模式双水平滚动条:样式化rc-virtual-list内置滚动条为胶囊外观,禁用自定义外部滚动条 - 为rc-virtual-list水平滚动条添加鼠标滚轮支持(MutationObserver + marginLeft驱动) - 修复白色主题透明模式下列名悬浮Tooltip对比度不足的问题 - 新增白色主题全局滚动条样式适配透明模式(App.css) - App.tsx主题token与组件样式优化 - refs #147 * 🔧 chore(app): 清理 App.tsx 类型告警并收敛前端壳层实现 - 清除未使用代码和冗余状态 - 替换弃用 API 以消除 IDE 提示 - 显式处理浮动 Promise 避免告警 - 保持现有更新检查和代理设置行为不变 * 🔧 fix(ci): 修复 Windows AMD64 下 DuckDB 驱动构建链路 - 将 DuckDB 工具链准备切换为优先使用 MSYS2 - 增加 gcc 和 g++ 存在性校验与版本验证 - 在 MSYS2 异常时回退 Chocolatey 安装 MinGW - 保持 Windows ARM64 跳过 DuckDB 构建与平台支持一致 * 🔧 fix(ci): 修复 Windows AMD64 下 DuckDB 驱动构建链路 - 将 DuckDB 工具链准备切换为优先使用 MSYS2 - 增加 gcc 和 g++ 存在性校验与版本验证 - 在 MSYS2 异常时回退 Chocolatey 安装 MinGW - 保持 Windows ARM64 跳过 DuckDB 构建与平台支持一致 * 🔧 fix(ci): 修复 Windows AMD64 下 DuckDB 驱动构建工具链 - 将 DuckDB 编译链从 MINGW64 切换为 MSYS2 UCRT64 - 修正 Windows AMD64 的 gcc 和 g++ 探测路径 - 增加 DuckDB 编译器版本校验步骤 * 📝 docs(contributing): 补充中英文贡献指南并统一 README 入口 - 新增英文版 CONTRIBUTING.md 作为正式贡献文档 - 新增中文版 CONTRIBUTING.zh-CN.md 作为中文贡献说明 - 调整 README 和 README.zh-CN 的贡献入口指向对应语言文档 * - feat(connection,metadata,kingbase): 增强多数据源连接能力并修复金仓/达梦/Oracle/ClickHouse兼容性问题 (#188) (#190) * feat(http-tunnel): 支持独立 HTTP 隧道连接并覆盖多数据源 refs #168 * fix(kingbase-data-grid): 修复金仓打开表卡顿并降低对象渲染开销 refs #178 * fix(kingbase-transaction): 修复金仓事务提交重复引号导致语法错误 refs #176 * fix(driver-agent): 修复老版本 Win10 升级后金仓驱动代理启动失败 refs #177 * chore(ci): 新增手动触发的 macOS 测试构建工作流 * chore(ci): 允许测试工作流在当前分支自动触发 * fix(query-editor): 修复 SQL 编辑中光标随机跳到末尾 refs #185 * feat(data-sync): 增加差异 SQL 预览能力便于审核 refs #174 * fix(clickhouse-connect): 自动识别并回退 HTTP/Native 协议连接 refs #181 * fix(oracle-metadata): 修复视图与函数加载按 schema 过滤异常 refs #155 * fix(dameng-databases): 修复显示全部库时数据库列表不完整 refs #154 * fix(connection,db-list): 统一处理空列表返回并修复达梦连接测试报错 refs #157 Co-authored-by: 辣条 <69459608+tianqijiuyun-latiao@users.noreply.github.com> * ✨ feat(release-notes): 支持自动生成 Release 更新说明并区分配置文件命名 * 🔁 chore(sync): 回灌 main 到 dev (#192) * - feat(connection,metadata,kingbase): 增强多数据源连接能力并修复金仓/达梦/Oracle/ClickHouse兼容性问题 (#188) * feat(http-tunnel): 支持独立 HTTP 隧道连接并覆盖多数据源 refs #168 * fix(kingbase-data-grid): 修复金仓打开表卡顿并降低对象渲染开销 refs #178 * fix(kingbase-transaction): 修复金仓事务提交重复引号导致语法错误 refs #176 * fix(driver-agent): 修复老版本 Win10 升级后金仓驱动代理启动失败 refs #177 * chore(ci): 新增手动触发的 macOS 测试构建工作流 * chore(ci): 允许测试工作流在当前分支自动触发 * fix(query-editor): 修复 SQL 编辑中光标随机跳到末尾 refs #185 * feat(data-sync): 增加差异 SQL 预览能力便于审核 refs #174 * fix(clickhouse-connect): 自动识别并回退 HTTP/Native 协议连接 refs #181 * fix(oracle-metadata): 修复视图与函数加载按 schema 过滤异常 refs #155 * fix(dameng-databases): 修复显示全部库时数据库列表不完整 refs #154 * fix(connection,db-list): 统一处理空列表返回并修复达梦连接测试报错 refs #157 * Release/0.5.3 (#191) --------- Co-authored-by: 辣条 <69459608+tianqijiuyun-latiao@users.noreply.github.com> Co-authored-by: Syngnat <92659908+Syngnat@users.noreply.github.com> * 🐛 fix(branch-sync): 修复 main 回灌 dev 时 mergeable 异步计算导致漏开自动合并 - 增加 mergeable 状态轮询,避免新建同步 PR 后立即返回 UNKNOWN - 在合并状态未稳定时输出中文告警与执行摘要 - 保持冲突分支、待计算分支与自动合并分支的处理路径清晰 * 🔁 chore(sync): 回灌 main 到 dev (#195) * - feat(connection,metadata,kingbase): 增强多数据源连接能力并修复金仓/达梦/Oracle/ClickHouse兼容性问题 (#188) * feat(http-tunnel): 支持独立 HTTP 隧道连接并覆盖多数据源 refs #168 * fix(kingbase-data-grid): 修复金仓打开表卡顿并降低对象渲染开销 refs #178 * fix(kingbase-transaction): 修复金仓事务提交重复引号导致语法错误 refs #176 * fix(driver-agent): 修复老版本 Win10 升级后金仓驱动代理启动失败 refs #177 * chore(ci): 新增手动触发的 macOS 测试构建工作流 * chore(ci): 允许测试工作流在当前分支自动触发 * fix(query-editor): 修复 SQL 编辑中光标随机跳到末尾 refs #185 * feat(data-sync): 增加差异 SQL 预览能力便于审核 refs #174 * fix(clickhouse-connect): 自动识别并回退 HTTP/Native 协议连接 refs #181 * fix(oracle-metadata): 修复视图与函数加载按 schema 过滤异常 refs #155 * fix(dameng-databases): 修复显示全部库时数据库列表不完整 refs #154 * fix(connection,db-list): 统一处理空列表返回并修复达梦连接测试报错 refs #157 * Release/0.5.3 (#191) * - chore(ci): 新增全平台测试包手动构建工作流 tianqijiuyun-latiao 今天 下午4:26 (#194) * feat(http-tunnel): 支持独立 HTTP 隧道连接并覆盖多数据源 refs #168 * fix(kingbase-data-grid): 修复金仓打开表卡顿并降低对象渲染开销 refs #178 * fix(kingbase-transaction): 修复金仓事务提交重复引号导致语法错误 refs #176 * fix(driver-agent): 修复老版本 Win10 升级后金仓驱动代理启动失败 refs #177 * chore(ci): 新增手动触发的 macOS 测试构建工作流 * chore(ci): 允许测试工作流在当前分支自动触发 * fix(query-editor): 修复 SQL 编辑中光标随机跳到末尾 refs #185 * feat(data-sync): 增加差异 SQL 预览能力便于审核 refs #174 * fix(clickhouse-connect): 自动识别并回退 HTTP/Native 协议连接 refs #181 * fix(oracle-metadata): 修复视图与函数加载按 schema 过滤异常 refs #155 * fix(dameng-databases): 修复显示全部库时数据库列表不完整 refs #154 * fix(connection,db-list): 统一处理空列表返回并修复达梦连接测试报错 refs #157 * fix(kingbase): 补齐主键识别并优化宽表卡顿 refs #176 refs #178 * fix(query-execution): 支持带前置注释的读查询结果识别 * chore(ci): 新增全平台测试包手动构建工作流 --------- Co-authored-by: 辣条 <69459608+tianqijiuyun-latiao@users.noreply.github.com> Co-authored-by: Syngnat <92659908+Syngnat@users.noreply.github.com> * ♻️ refactor(frontend-sync): 优化桌面交互细节并移除 main 回灌 dev 自动化 - 优化新建连接、主题设置、侧边栏工具区与 SQL 日志的界面表现 - 调整分页、筛选、透明模式与弹窗样式,统一整体交互层次 - 收口外观参数生效逻辑并补齐多组件适配 - 删除 sync-main-to-dev 工作流并同步维护者手动回灌说明 * feat: 统一筛选条件逻辑按钮宽度 (#201) * 🐛 fix(oracle-query): 修复 Oracle 表数据分页 SQL 兼容问题 refs #196 (#202) * ✨ feat(datasource): 支持 DuckDB Parquet 文件模式并优化弹窗打开链路 - 统一 DuckDB 文件库与 Parquet 文件接入能力 - 补充 URI、文件选择、只读挂载与连接缓存键处理 - 去掉数据源卡片点击前的同步驱动查询,修复打开卡顿 * ✨ feat(datasource): 支持 DuckDB Parquet 文件模式并优化弹窗打开链路 - 统一 DuckDB 文件库与 Parquet 文件接入能力 - 补充 URI、文件选择、只读挂载与连接缓存键处理 - 去掉数据源卡片点击前的同步驱动查询,修复打开卡顿 - refs #166 * 🐛 fix(dameng): 修复达梦连接成功后数据库列表为空问题 - 调整达梦数据库列表获取策略,优先回退查询当前 schema 与当前用户 - 保留可见用户与 owner 聚合逻辑,兼容低权限账号场景 - 补充前端空列表提示与后端单元测试,降低排查成本 - close #203 * ✨ feat(data-sync): 扩展跨库迁移链路并优化数据同步交互 - 统一同库同步与跨库迁移入口,补充模式区分与风险提示 - 扩展 ClickHouse 与 PG-like 双向迁移,并新增 PG-like、ClickHouse、TDengine 到 MongoDB 的迁移路由 - 完善 TDengine 目标端建表规划、回归测试与需求追踪文档 - refs #51 --------- Co-authored-by: Syngnat <yangguofeng919@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: 辣条 <69459608+tianqijiuyun-latiao@users.noreply.github.com> Co-authored-by: TSS <266256496+Zencok@users.noreply.github.com>
297 lines
12 KiB
Go
297 lines
12 KiB
Go
package sync
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import (
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"GoNavi-Wails/internal/connection"
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"GoNavi-Wails/internal/db"
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"fmt"
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"strconv"
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"strings"
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)
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func buildTDengineToMySQLPlan(config SyncConfig, tableName string, sourceDB db.Database, targetDB db.Database) (SchemaMigrationPlan, []connection.ColumnDefinition, []connection.ColumnDefinition, error) {
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plan := SchemaMigrationPlan{}
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sourceType := resolveMigrationDBType(config.SourceConfig)
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targetType := resolveMigrationDBType(config.TargetConfig)
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plan.SourceSchema, plan.SourceTable = normalizeSchemaAndTable(sourceType, config.SourceConfig.Database, tableName)
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plan.TargetSchema, plan.TargetTable = normalizeSchemaAndTable(targetType, config.TargetConfig.Database, tableName)
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plan.SourceQueryTable = qualifiedNameForQuery(sourceType, plan.SourceSchema, plan.SourceTable, tableName)
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plan.TargetQueryTable = qualifiedNameForQuery(targetType, plan.TargetSchema, plan.TargetTable, tableName)
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plan.PlannedAction = "使用已有目标表导入"
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sourceCols, sourceExists, err := inspectTableColumns(sourceDB, plan.SourceSchema, plan.SourceTable)
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if err != nil {
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return plan, nil, nil, fmt.Errorf("获取源表字段失败: %w", err)
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}
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if !sourceExists {
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return plan, nil, nil, fmt.Errorf("源表不存在或无列定义: %s", tableName)
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}
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targetCols, targetExists, err := inspectTableColumns(targetDB, plan.TargetSchema, plan.TargetTable)
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if err != nil {
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return plan, sourceCols, nil, fmt.Errorf("获取目标表字段失败: %w", err)
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}
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plan.TargetTableExists = targetExists
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plan.Warnings = append(plan.Warnings, tdengineSemanticWarnings(sourceCols)...)
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strategy := normalizeTargetTableStrategy(config.TargetTableStrategy)
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if targetExists {
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missing := diffMissingColumnNames(sourceCols, targetCols)
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if len(missing) > 0 {
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plan.Warnings = append(plan.Warnings, fmt.Sprintf("目标表缺失字段 %d 个:%s", len(missing), strings.Join(missing, ", ")))
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}
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if strategy != "existing_only" {
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plan.Warnings = append(plan.Warnings, "TDengine 源端当前不自动补齐已有目标表字段,请先确认目标表结构")
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}
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return dedupeSchemaMigrationPlan(plan), sourceCols, targetCols, nil
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}
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switch strategy {
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case "existing_only":
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plan.PlannedAction = "目标表不存在,需先手工创建"
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plan.Warnings = append(plan.Warnings, "当前策略要求目标表已存在,执行时不会自动建表")
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return dedupeSchemaMigrationPlan(plan), sourceCols, targetCols, nil
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case "smart", "auto_create_if_missing":
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plan.AutoCreate = true
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plan.PlannedAction = "目标表不存在,将自动建表后导入"
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createSQL, warnings, unsupported := buildTDengineToMySQLCreateTableSQL(plan.TargetQueryTable, sourceCols)
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plan.CreateTableSQL = createSQL
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plan.Warnings = append(plan.Warnings, warnings...)
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plan.UnsupportedObjects = append(plan.UnsupportedObjects, unsupported...)
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return dedupeSchemaMigrationPlan(plan), sourceCols, targetCols, nil
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default:
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return dedupeSchemaMigrationPlan(plan), sourceCols, targetCols, nil
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}
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}
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func buildTDengineToPGLikePlan(config SyncConfig, tableName string, sourceDB db.Database, targetDB db.Database) (SchemaMigrationPlan, []connection.ColumnDefinition, []connection.ColumnDefinition, error) {
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plan := SchemaMigrationPlan{}
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sourceType := resolveMigrationDBType(config.SourceConfig)
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targetType := resolveMigrationDBType(config.TargetConfig)
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plan.SourceSchema, plan.SourceTable = normalizeSchemaAndTable(sourceType, config.SourceConfig.Database, tableName)
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plan.TargetSchema, plan.TargetTable = normalizeSchemaAndTable(targetType, config.TargetConfig.Database, tableName)
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plan.SourceQueryTable = qualifiedNameForQuery(sourceType, plan.SourceSchema, plan.SourceTable, tableName)
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plan.TargetQueryTable = qualifiedNameForQuery(targetType, plan.TargetSchema, plan.TargetTable, tableName)
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plan.PlannedAction = "使用已有目标表导入"
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sourceCols, sourceExists, err := inspectTableColumns(sourceDB, plan.SourceSchema, plan.SourceTable)
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if err != nil {
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return plan, nil, nil, fmt.Errorf("获取源表字段失败: %w", err)
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}
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if !sourceExists {
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return plan, nil, nil, fmt.Errorf("源表不存在或无列定义: %s", tableName)
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}
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targetCols, targetExists, err := inspectTableColumns(targetDB, plan.TargetSchema, plan.TargetTable)
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if err != nil {
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return plan, sourceCols, nil, fmt.Errorf("获取目标表字段失败: %w", err)
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}
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plan.TargetTableExists = targetExists
|
||
plan.Warnings = append(plan.Warnings, tdengineSemanticWarnings(sourceCols)...)
|
||
|
||
strategy := normalizeTargetTableStrategy(config.TargetTableStrategy)
|
||
if targetExists {
|
||
missing := diffMissingColumnNames(sourceCols, targetCols)
|
||
if len(missing) > 0 {
|
||
plan.Warnings = append(plan.Warnings, fmt.Sprintf("目标表缺失字段 %d 个:%s", len(missing), strings.Join(missing, ", ")))
|
||
}
|
||
if strategy != "existing_only" {
|
||
plan.Warnings = append(plan.Warnings, "TDengine 源端当前不自动补齐已有目标表字段,请先确认目标表结构")
|
||
}
|
||
return dedupeSchemaMigrationPlan(plan), sourceCols, targetCols, nil
|
||
}
|
||
|
||
switch strategy {
|
||
case "existing_only":
|
||
plan.PlannedAction = "目标表不存在,需先手工创建"
|
||
plan.Warnings = append(plan.Warnings, "当前策略要求目标表已存在,执行时不会自动建表")
|
||
return dedupeSchemaMigrationPlan(plan), sourceCols, targetCols, nil
|
||
case "smart", "auto_create_if_missing":
|
||
plan.AutoCreate = true
|
||
plan.PlannedAction = "目标表不存在,将自动建表后导入"
|
||
createSQL, warnings, unsupported := buildTDengineToPGLikeCreateTableSQL(targetType, plan.TargetQueryTable, sourceCols)
|
||
plan.CreateTableSQL = createSQL
|
||
plan.Warnings = append(plan.Warnings, warnings...)
|
||
plan.UnsupportedObjects = append(plan.UnsupportedObjects, unsupported...)
|
||
return dedupeSchemaMigrationPlan(plan), sourceCols, targetCols, nil
|
||
default:
|
||
return dedupeSchemaMigrationPlan(plan), sourceCols, targetCols, nil
|
||
}
|
||
}
|
||
|
||
func buildTDengineToMySQLCreateTableSQL(targetQueryTable string, sourceCols []connection.ColumnDefinition) (string, []string, []string) {
|
||
columnDefs := make([]string, 0, len(sourceCols))
|
||
warnings := make([]string, 0)
|
||
unsupported := []string{"TDengine 的索引/外键/触发器/超级表/TTL 等时序语义当前不会自动迁移"}
|
||
for _, col := range sourceCols {
|
||
def, colWarnings := buildTDengineToMySQLColumnDefinition(col)
|
||
columnDefs = append(columnDefs, fmt.Sprintf("%s %s", quoteIdentByType("mysql", col.Name), def))
|
||
warnings = append(warnings, colWarnings...)
|
||
}
|
||
createSQL := fmt.Sprintf("CREATE TABLE %s (\n %s\n)", quoteQualifiedIdentByType("mysql", targetQueryTable), strings.Join(columnDefs, ",\n "))
|
||
return createSQL, dedupeStrings(warnings), dedupeStrings(unsupported)
|
||
}
|
||
|
||
func buildTDengineToPGLikeCreateTableSQL(targetType string, targetQueryTable string, sourceCols []connection.ColumnDefinition) (string, []string, []string) {
|
||
columnDefs := make([]string, 0, len(sourceCols))
|
||
warnings := make([]string, 0)
|
||
unsupported := []string{"TDengine 的索引/外键/触发器/超级表/TTL 等时序语义当前不会自动迁移"}
|
||
for _, col := range sourceCols {
|
||
def, colWarnings := buildTDengineToPGLikeColumnDefinition(col)
|
||
columnDefs = append(columnDefs, fmt.Sprintf("%s %s", quoteIdentByType(targetType, col.Name), def))
|
||
warnings = append(warnings, colWarnings...)
|
||
}
|
||
createSQL := fmt.Sprintf("CREATE TABLE %s (\n %s\n)", quoteQualifiedIdentByType(targetType, targetQueryTable), strings.Join(columnDefs, ",\n "))
|
||
return createSQL, dedupeStrings(warnings), dedupeStrings(unsupported)
|
||
}
|
||
|
||
func buildTDengineToMySQLColumnDefinition(col connection.ColumnDefinition) (string, []string) {
|
||
targetType, warnings := mapTDengineColumnToMySQL(col)
|
||
parts := []string{targetType}
|
||
if strings.EqualFold(strings.TrimSpace(col.Nullable), "NO") {
|
||
parts = append(parts, "NOT NULL")
|
||
} else {
|
||
parts = append(parts, "NULL")
|
||
}
|
||
return strings.Join(parts, " "), warnings
|
||
}
|
||
|
||
func buildTDengineToPGLikeColumnDefinition(col connection.ColumnDefinition) (string, []string) {
|
||
targetType, warnings := mapTDengineColumnToPGLike(col)
|
||
parts := []string{targetType}
|
||
if strings.EqualFold(strings.TrimSpace(col.Nullable), "NO") {
|
||
parts = append(parts, "NOT NULL")
|
||
} else {
|
||
parts = append(parts, "NULL")
|
||
}
|
||
return strings.Join(parts, " "), warnings
|
||
}
|
||
|
||
func tdengineSemanticWarnings(sourceCols []connection.ColumnDefinition) []string {
|
||
warnings := []string{"TDengine 到关系型目标库当前仅迁移列与数据;超级表、TAG 关联、保留策略等时序语义会降级或丢失"}
|
||
for _, col := range sourceCols {
|
||
if isTDengineTagColumn(col) {
|
||
warnings = append(warnings, fmt.Sprintf("字段 %s 为 TDengine TAG 列,迁移到关系型目标后将降级为普通字段", col.Name))
|
||
}
|
||
}
|
||
return dedupeStrings(warnings)
|
||
}
|
||
|
||
func isTDengineTagColumn(col connection.ColumnDefinition) bool {
|
||
return strings.EqualFold(strings.TrimSpace(col.Key), "TAG") || strings.Contains(strings.ToUpper(strings.TrimSpace(col.Extra)), "TAG")
|
||
}
|
||
|
||
func parseTDengineType(raw string) (string, int) {
|
||
cleaned := strings.TrimSpace(strings.ToUpper(raw))
|
||
if cleaned == "" {
|
||
return "", 0
|
||
}
|
||
base := cleaned
|
||
length := 0
|
||
if idx := strings.Index(base, "("); idx >= 0 {
|
||
end := strings.Index(base[idx+1:], ")")
|
||
if end >= 0 {
|
||
lengthText := strings.TrimSpace(base[idx+1 : idx+1+end])
|
||
if v, err := strconv.Atoi(lengthText); err == nil {
|
||
length = v
|
||
}
|
||
}
|
||
base = strings.TrimSpace(base[:idx])
|
||
}
|
||
return base, length
|
||
}
|
||
|
||
func mapTDengineColumnToMySQL(col connection.ColumnDefinition) (string, []string) {
|
||
base, length := parseTDengineType(col.Type)
|
||
warnings := make([]string, 0)
|
||
if isTDengineTagColumn(col) {
|
||
warnings = append(warnings, fmt.Sprintf("字段 %s 为 TDengine TAG 列,已按普通列映射", col.Name))
|
||
}
|
||
switch base {
|
||
case "BOOL", "BOOLEAN":
|
||
return "tinyint(1)", warnings
|
||
case "TINYINT":
|
||
return "tinyint", warnings
|
||
case "UTINYINT":
|
||
return "tinyint unsigned", warnings
|
||
case "SMALLINT":
|
||
return "smallint", warnings
|
||
case "USMALLINT":
|
||
return "smallint unsigned", warnings
|
||
case "INT", "INTEGER":
|
||
return "int", warnings
|
||
case "UINT":
|
||
return "int unsigned", warnings
|
||
case "BIGINT":
|
||
return "bigint", warnings
|
||
case "UBIGINT":
|
||
return "bigint unsigned", warnings
|
||
case "FLOAT":
|
||
return "float", warnings
|
||
case "DOUBLE":
|
||
return "double", warnings
|
||
case "DECIMAL", "NUMERIC":
|
||
if length > 0 {
|
||
return strings.ToLower(strings.TrimSpace(col.Type)), warnings
|
||
}
|
||
return "decimal(38,10)", warnings
|
||
case "TIMESTAMP":
|
||
return "datetime", warnings
|
||
case "DATE":
|
||
return "date", warnings
|
||
case "JSON":
|
||
return "json", warnings
|
||
case "BINARY", "NCHAR", "VARCHAR", "VARBINARY":
|
||
if length > 0 && length <= 65535 {
|
||
return fmt.Sprintf("varchar(%d)", length), warnings
|
||
}
|
||
return "text", warnings
|
||
default:
|
||
warnings = append(warnings, fmt.Sprintf("字段 %s 类型 %s 暂无专门 MySQL 映射,已降级为 text", col.Name, col.Type))
|
||
return "text", warnings
|
||
}
|
||
}
|
||
|
||
func mapTDengineColumnToPGLike(col connection.ColumnDefinition) (string, []string) {
|
||
base, length := parseTDengineType(col.Type)
|
||
warnings := make([]string, 0)
|
||
if isTDengineTagColumn(col) {
|
||
warnings = append(warnings, fmt.Sprintf("字段 %s 为 TDengine TAG 列,已按普通列映射", col.Name))
|
||
}
|
||
switch base {
|
||
case "BOOL", "BOOLEAN":
|
||
return "boolean", warnings
|
||
case "TINYINT", "UTINYINT", "SMALLINT":
|
||
return "smallint", warnings
|
||
case "USMALLINT", "INT", "INTEGER":
|
||
return "integer", warnings
|
||
case "UINT", "BIGINT":
|
||
return "bigint", warnings
|
||
case "UBIGINT":
|
||
warnings = append(warnings, fmt.Sprintf("字段 %s 类型 UBIGINT 已映射为 numeric(20,0) 以避免无符号溢出", col.Name))
|
||
return "numeric(20,0)", warnings
|
||
case "FLOAT":
|
||
return "real", warnings
|
||
case "DOUBLE":
|
||
return "double precision", warnings
|
||
case "DECIMAL", "NUMERIC":
|
||
if length > 0 {
|
||
return strings.ToLower(strings.TrimSpace(col.Type)), warnings
|
||
}
|
||
return "numeric(38,10)", warnings
|
||
case "TIMESTAMP":
|
||
return "timestamp", warnings
|
||
case "DATE":
|
||
return "date", warnings
|
||
case "JSON":
|
||
return "jsonb", warnings
|
||
case "BINARY", "NCHAR", "VARCHAR", "VARBINARY":
|
||
if length > 0 {
|
||
return fmt.Sprintf("varchar(%d)", length), warnings
|
||
}
|
||
return "text", warnings
|
||
default:
|
||
warnings = append(warnings, fmt.Sprintf("字段 %s 类型 %s 暂无专门 PG-like 映射,已降级为 text", col.Name, col.Type))
|
||
return "text", warnings
|
||
}
|
||
}
|