GitHub user dosubot[bot] added a comment to the discussion: 关于电网拓扑数据导入
<!-- Answer --> 你的 struct.json 配置还不能保证所有连接关系都能导入，原因是 HugeGraph 的每个 edgeLabel 只能连接一种源点和目标点类型，且 struct.json 里每个 edgeLabel 的配置会尝试导入整个 edge_connected_to.csv，但只有源/目标顶点 label 和 schema.groovy 里 edgeLabel 的 sourceLabel/targetLabel 完全匹配时才会真正导入成功，否则会被静默跳过（不会报错，但关系缺失）[参考](https://github.com/apache/incubator-hugegraph-doc/blob/3e1c610281c91ea3a5c600b393088e9ffae34799/content/en/docs/quickstart/toolchain/hugegraph-loader.md#L139-L1090)。 你的配置只覆盖了部分边类型，像 LineSegment2LineSegment、LineSegment2LineSwitch、LineSwitch2LineSegment 等常见的电网关系没有在 struct.json 里补全，所以这些类型的连接不会被导入。即使 edge_connected_to.csv 里有这些数据，loader 也会因为 label 不匹配 schema 而跳过。 **建议做法：** 1. 明确所有需要的边类型组合，比如： - Substation2LineSegment - LineSegment2Substation - LineSegment2StationHouse - StationHouse2LineSegment - LineSegment2LineSegment - LineSegment2LineSwitch - LineSwitch2LineSegment - StationHouse2LineSwitch - LineSwitch2StationHouse 2. schema.groovy 里为每种类型的连接都定义 edgeLabel，sourceLabel/targetLabel 必须和顶点 label 一致。 3. struct.json 里 edges 部分为每个 edgeLabel 配置一段，source/target 字段和顶点主键一致，value_mapping 只需把 label 字段映射为 edgeLabel 名称（如 "CONNECTED_TO": "LineSegment2LineSegment"）。 4. edge_connected_to.csv 建议增加 source_label/target_label 字段（或用脚本拆分），这样每个 edgeLabel 配置时可以用 selected/value_mapping 精确筛选出属于自己的那部分边，避免类型不匹配被跳过。 **举例：** ```json { "label": "LineSegment2LineSegment", "source": ["from"], "target": ["to"], "input": { "type": "file", "path": "/loader/power_data/edge_connected_to.csv", "format": "CSV", "header": ["id", "from", "to", "label", "source_label", "target_label"] }, "field_mapping": { "from": "id", "to": "id" }, "selected": ["from", "to"], "value_mapping": { "label": { "CONNECTED_TO": "LineSegment2LineSegment" }, "source_label": { "LineSegment": "LineSegment" }, "target_label": { "LineSegment": "LineSegment" } } } ``` 每种类型的边都要写一段，path 可以都指向同一个 CSV 文件。 **核心要点**：每个 edgeLabel 只能导入一种类型的连接，必须保证 struct.json 里每个 edgeLabel 配置只处理属于自己的那部分边，否则会被跳过，导致连接关系不全。loader 的“成功”只代表数据格式没错，不代表所有逻辑关系都建立了[官方文档说明](https://github.com/apache/incubator-hugegraph-doc/blob/3e1c610281c91ea3a5c600b393088e9ffae34799/content/en/docs/quickstart/toolchain/hugegraph-loader.md#L139-L1090)。 如需具体 struct.json/schema.groovy 模板或数据预处理脚本，可以补充你的需求。 <!-- Dosu Comment Footer --> *To reply, just mention [@dosu](https://go.dosu.dev/dosubot).* --- <sup>How did I do? 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