按照你的建议改成如下
"field_mapping": { "from": "from", "to": "to" },
"value_mapping": { "label": { "CONNECTED_TO":
"Substation2LineSegment" }, "source_label": {
"Substation": "Substation" }, "target_label": {
"LineSegment": "LineSegment" } }
导入报错如下
(base) PS C:\Users\GH-76\hugegraph-1.7.0> docker exec -it hugegraph-loader
bin/hugegraph-loader.sh -g hugegraph -f
/loader/power_data/struct_1.json -s
/loader/power_data/schema_1.groovy -h server -p 8080 --clear-all-data true
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in
[jar:file:/loader/lib/log4j-slf4j-impl-2.18.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/loader/lib/apache-hugegraph-loader-incubating-1.7.0-shaded.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/loader/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an
explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
WARNING: sun.reflect.Reflection.getCallerClass is not supported. This will
impact performance.
ERROR StatusLogger Reconfiguration failed: No configuration found for 'Default'
at 'null' in 'null'
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by
org.codehaus.groovy.reflection.CachedClass (file:/loader/lib/apache-hugegraph-loader-incubating-1.7.0-shaded.jar)
to method java.lang.Object.finalize()
WARNING: Please consider reporting this to the maintainers of
org.codehaus.groovy.reflection.CachedClass
WARNING: Use --illegal-access=warn to enable warnings of further illegal
reflective access operations
WARNING: All illegal access operations will be denied in a future release
>> HugeGraphLoader worked in NORMAL MODE
vertices/edges loaded this time : 03:20:58.746 [loader] ERROR
org.apache.hugegraph.loader.task.ParseTaskBuilder - Parse EDGE error
org.apache.hugegraph.loader.exception.ParseException: Make sure the primary key
fields [id] are not empty, or check whether the headers or field_mapping are
configured correctly
原始邮件
发件人：dosubot[bot] (via GitHub) <[email protected]>
发件时间：2025年12月11日 11:10
收件人：dev <[email protected]>
主题：Re: [D] 关于电网拓扑数据导入 [incubator-hugegraph]
GitHub user dosubot[bot] added a comment to the discussion: 关于电网拓扑数据导入
<!-- Answer -->
你的导入“无报错但部分设备没有连接关系”，根本原因是 struct_1.json 的 edges 配置 field_mapping 写成了 `"from": "id", "to": "id"`，而不是 `"from": "from", "to": "to"`。这样 loader 会把 edge CSV 的 id 列当作边属性导入，导致边无法正确关联顶点，或者被静默跳过，最终部分设备没有连接关系（如 BDZ-3002、XLD-3445、XLD-3380 等）。
**具体问题分析：**
1. **field_mapping 错误**：必须是 `"from": "from", "to": "to"`，否则 loader 取不到顶点主键 id，边全部失效。
2. **边标签 .properties() 必须声明实际用到的属性**，如有 source_label/target_label 就要写上，否则 loader 也会报错或跳过。
3. **CSV 文件有重复行**：如 vertex_linesegment-1.csv、vertex_stationhouse-1.csv 等有多行重复 id，会导致顶点覆盖或边关联异常。
4. **部分设备没有连接关系**：因为边数据和顶点数据的 id 不一致、重复、空行或 field_mapping 错误，导致边无法关联到这些设备。
**修正建议：**
### 1. schema_1.groovy（只保留必要属性，边标签声明 source_label/target_label）
```groovy
// 属性定义
schema.propertyKey("id").asText().ifNotExist().create();
schema.propertyKey("name").asText().ifNotExist().create();
schema.propertyKey("objectType").asText().ifNotExist().create();
schema.propertyKey("objectHandle").asText().ifNotExist().create();
schema.propertyKey("deviceType").asText().ifNotExist().create();
schema.propertyKey("internalEndpointNo").asInt().ifNotExist().create();
schema.propertyKey("terminalNo").asInt().ifNotExist().create();
schema.propertyKey("usage").asText().ifNotExist().create();
schema.propertyKey("powerFlowDirection").asInt().ifNotExist().create();
schema.propertyKey("belongSubstation").asText().ifNotExist().create();
schema.propertyKey("belongFeeder").asText().ifNotExist().create();
schema.propertyKey("source_label").asText().ifNotExist().create();
schema.propertyKey("target_label").asText().ifNotExist().create();
// 顶点标签
schema.vertexLabel("Substation").properties("id", "name", "objectType", "objectHandle", "deviceType", "internalEndpointNo", "terminalNo", "usage", "powerFlowDirection", "belongSubstation", "belongFeeder").primaryKeys("id").ifNotExist().create();
schema.vertexLabel("LineSegment").properties("id", "name", "objectType", "objectHandle", "deviceType", "internalEndpointNo", "terminalNo", "usage", "powerFlowDirection", "belongSubstation", "belongFeeder").primaryKeys("id").ifNotExist().create();
schema.vertexLabel("LineSwitch").properties("id", "name", "objectType", "objectHandle", "deviceType", "internalEndpointNo", "terminalNo", "usage", "powerFlowDirection", "belongSubstation", "belongFeeder").primaryKeys("id").ifNotExist().create();
schema.vertexLabel("StationHouse").properties("id", "name", "objectType", "objectHandle", "deviceType", "internalEndpointNo", "terminalNo", "usage", "powerFlowDirection", "belongSubstation", "belongFeeder").primaryKeys("id").ifNotExist().create();
// 边标签（每种类型对每种类型都定义一条边，便于扩展和双向连接）
schema.edgeLabel("Substation2LineSegment").sourceLabel("Substation").targetLabel("LineSegment").properties("source_label", "target_label").ifNotExist().create();
schema.edgeLabel("LineSegment2Substation").sourceLabel("LineSegment").targetLabel("Substation").properties("source_label", "target_label").ifNotExist().create();
schema.edgeLabel("LineSegment2StationHouse").sourceLabel("LineSegment").targetLabel("StationHouse").properties("source_label", "target_label").ifNotExist().create();
schema.edgeLabel("StationHouse2LineSegment").sourceLabel("StationHouse").targetLabel("LineSegment").properties("source_label", "target_label").ifNotExist().create();
schema.edgeLabel("LineSegment2LineSegment").sourceLabel("LineSegment").targetLabel("LineSegment").properties("source_label", "target_label").ifNotExist().create();
schema.edgeLabel("LineSegment2LineSwitch").sourceLabel("LineSegment").targetLabel("LineSwitch").properties("source_label", "target_label").ifNotExist().create();
schema.edgeLabel("LineSwitch2LineSegment").sourceLabel("LineSwitch").targetLabel("LineSegment").properties("source_label", "target_label").ifNotExist().create();
schema.edgeLabel("StationHouse2LineSwitch").sourceLabel("StationHouse").targetLabel("LineSwitch").properties("source_label", "target_label").ifNotExist().create();
schema.edgeLabel("LineSwitch2StationHouse").sourceLabel("LineSwitch").targetLabel("StationHouse").properties("source_label", "target_label").ifNotExist().create();
```
---
### 2. struct_1.json（edges 部分 field_mapping 必须为 from/to，且 value_mapping 精确过滤）
```json
{
"vertices": [
{
"label": "Substation",
"input": {
"type": "file",
"path": "vertex_substation-1.csv",
"format": "CSV",
"header": ["id", "name", "objectType", "objectHandle", "deviceType", "internalEndpointNo", "terminalNo", "usage", "powerFlowDirection", "belongSubstation", "belongFeeder"],
"charset": "UTF-8"
},
"null_values": ["NULL", "null"]
},
// 其他顶点类型同理
],
"edges": [
{
"label": "Substation2LineSegment",
"source": ["from"],
"target": ["to"],
"input": {
"type": "file",
"path": "power_edges_to.csv",
"format": "CSV",
"header": ["id", "from", "to", "label", "source_label", "target_label"]
},
"field_mapping": { "from": "from", "to": "to" },
"value_mapping": {
"label": { "CONNECTED_TO": "Substation2LineSegment" },
"source_label": { "Substation": "Substation" },
"target_label": { "LineSegment": "LineSegment" }
}
},
{
"label": "LineSegment2Substation",
"source": ["from"],
"target": ["to"],
"input": { "type": "file", "path": "power_edges_to.csv", "format": "CSV", "header": ["id", "from", "to", "label", "source_label", "target_label"] },
"field_mapping": { "from": "from", "to": "to" },
"value_mapping": {
"label": { "CONNECTED_TO": "LineSegment2Substation" },
"source_label": { "LineSegment": "LineSegment" },
"target_label": { "Substation": "Substation" }
}
},
// 其余边类型同理，确保每种类型的连接都写一段，且 value_mapping 精确过滤
// ...
]
}
```
---
### 3. 重点排查和修正建议
- **所有 vertex_xxx.csv、power_edges_to.csv 文件必须无重复行、无空行、无多余空格，id 唯一且和边数据完全一致。**
- **struct_1.json 的 edges 部分 field_mapping 必须全部为 { "from": "from", "to": "to" }，不能有 id。**
- **每个 edgeLabel 的 value_mapping 必须精确过滤 label、source_label、target_label，且和 schema.groovy 的 sourceLabel/targetLabel 完全一致。**
- **如果某些设备没有连接关系，优先检查：**
- 该设备 id 是否在所有相关 vertex_xxx.csv 只出现一次且无空格。
- 该设备 id 是否在 power_edges_to.csv 的 from/to 列出现，且 source_label/target_label 正确。
- struct_1.json 是否有对应 edgeLabel 配置，且 value_mapping 正确。
- **如有重复顶点或边，建议先 deduplicate（去重）所有 CSV 文件。**
---
### 4. 边数量异常的原因
- 你的 power_edges_to.csv 里每条边正反都写了（A→B、B→A），且 struct.json 里每种 edgeLabel 又都配置了一遍，导致边数量比顶点多很多。只要数据无重复、配置无误，这不是问题。
---
### 5. 设备无连接关系的根本原因
- 99% 是因为 struct.json 的 field_mapping 写成了 { "from": "id", "to": "id" } 或 value_mapping 不精确，导致边被跳过或关联不到顶点。
- 还有可能是顶点 CSV 有重复、空行、主键不一致、隐藏字符等问题。
---
如需完整修正版 struct_1.json 和 schema_1.groovy，可以参考上面模板，按你的实际数据类型和连接关系补全所有 edgeLabel 和 value_mapping。只要严格按上述方式配置，所有设备的连接关系都能导入且无报错。
如还有具体设备无连接，建议贴出该设备在所有相关 CSV 的原始行和 struct.json 的对应 edgeLabel 配置，我可以帮你逐条定位。
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