Gremlin-Python：返回一个完全填充的子图

Question

我正在使用 Gremlin-Python 客户端通过 janusgraph 后端查询 Gremlin 服务器。

运行以下查询：

graph = Graph()
g = graph.traversal().withRemote(DriverRemoteConnection('ws://localhost:8182/gremlin','g'))
sg = g.E().subgraph('a').cap('a').next()

查询返回一个包含边和顶点列表的子图。

我在服务器上配置了以下序列化程序

serializers:
  - { className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV3d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry] }}
  - { className: org.apache.tinkerpop.gremlin.driver.ser.GryoMessageSerializerV3d0, config: { serializeResultToString: true }}
  - { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV3d0, config: { ioRegistries: [org.janusgraph.graphdb.tinkerpop.JanusGraphIoRegistry] }} 

有谁知道如何配置 gremlin-server 和示例代码以返回完整的 填充子图？

根据斯蒂芬的反馈更新了测试用例

# DB: Janusgraph with Opensource Cassandra storage backend
# Data: v[41427160]--reports_to-->v[36712472]--reports_to-->v[147841048]
# Objective: get subgraph detached to python client with all properties of the vertex and edges

(py365)$ pip list | grep gremlinpython
gremlinpython   3.3.4
(py365)$ python
Python 3.6.5 (default, Apr 25 2018, 14:26:36)
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from gremlin_python.driver import client
>>> from gremlin_python.driver.serializer import GraphSONSerializersV3d0
>>> session = client.Client('ws://localhost:8182/gremlin', 'g', message_serializer=GraphSONSerializersV3d0())
>>> query_parameters = {"vids": [41427160, 36712472]}
>>> query = "g.V(vids).outE('reports_to').subgraph('1').otherV().cap('1').next()"
>>> results = session.submit(query, query_parameters)
>>> for r in results:
...     r_vertices = r[0]['@value'].get('vertices')
...     r_edges = r[0]['@value'].get('edges')
...     print(r)
...     print(r_vertices)
...     print(r_edges)
...
[{'@type': 'tinker:graph', '@value': {'vertices': [v[41427160], v[147841048], v[36712472]], 'edges': [e[{'@type': 'janusgraph:RelationIdentifier', '@value': {'relationId': '21y8ez-onxeg-f11-luviw'}}][41427160-reports_to->36712472], e[{'@type': 'janusgraph:RelationIdentifier', '@value': {'relationId': '225dz7-luviw-f11-2g0qvs'}}][36712472-reports_to->147841048]]}}]
[v[41427160], v[147841048], v[36712472]]
[e[{'@type': 'janusgraph:RelationIdentifier', '@value': {'relationId': '21y8ez-onxeg-f11-luviw'}}][41427160-reports_to->36712472], e[{'@type': 'janusgraph:RelationIdentifier', '@value': {'relationId': '225dz7-luviw-f11-2g0qvs'}}][36712472-reports_to->147841048]]
>>>

gremlinpython 真的是轻量级的吗，即使使用 基于脚本的方法，只有必要的元素（id 和标签）是 分离为图森的“参考元素”部分？

Answer 1

您不能使用 Gremlin Python（或任何其他语言变体）将 subgraph() 步骤的结果完全返回为 Graph。问题是 Gremlin Python 是 Gremlin 的轻量级实现，因此没有图形数据结构实例来反序列化返回的数据。

此时，唯一的解决方法是简单地返回形成图形的数据，然后您必须将该数据存储到 Python 中类似图形的东西中。所以也许你会这样做：

g.E().project('edgeId','label','inId','outId').
        by(id).
        by(label).
        by(inV().id()).
        by(outV().id())

这会将子图结构所需的最小数据返回为Map，然后您可以在 Python 中处理该数据。

我认为不太推荐的另一个选项是使用 Python 提交脚本，而不是使用基于字节码的请求。使用脚本，您将获得子图的 GraphSON 表示，然后您可以根据需要将其解析为 Python 中的某些数据结构。这是您需要发送的等效脚本：

gremlin> graph = g.E().hasLabel('knows').subgraph('sg').cap('sg').next()
==>tinkergraph[vertices:3 edges:2]
gremlin> mapper = GraphSONMapper.build().addRegistry(TinkerIoRegistryV3d0.instance())create().createMapper()
==>org.apache.tinkerpop.shaded.jackson.databind.ObjectMapper@f6de586
gremlin> mapper.writeValueAsString(graph)
==>{"@type":"tinker:graph","@value":{"vertices":[{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":1},"label":"person","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int64","@value":0},"value":"marko","label":"name"}}],"age":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int64","@value":1},"value":{"@type":"g:Int32","@value":29},"label":"age"}}]}}},{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":2},"label":"person","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int64","@value":2},"value":"vadas","label":"name"}}],"age":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int64","@value":3},"value":{"@type":"g:Int32","@value":27},"label":"age"}}]}}},{"@type":"g:Vertex","@value":{"id":{"@type":"g:Int32","@value":4},"label":"person","properties":{"name":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int64","@value":6},"value":"josh","label":"name"}}],"age":[{"@type":"g:VertexProperty","@value":{"id":{"@type":"g:Int64","@value":7},"value":{"@type":"g:Int32","@value":32},"label":"age"}}]}}}],"edges":[{"@type":"g:Edge","@value":{"id":{"@type":"g:Int32","@value":7},"label":"knows","inVLabel":"person","outVLabel":"person","inV":{"@type":"g:Int32","@value":2},"outV":{"@type":"g:Int32","@value":1},"properties":{"weight":{"@type":"g:Property","@value":{"key":"weight","value":{"@type":"g:Double","@value":0.5}}}}}},{"@type":"g:Edge","@value":{"id":{"@type":"g:Int32","@value":8},"label":"knows","inVLabel":"person","outVLabel":"person","inV":{"@type":"g:Int32","@value":4},"outV":{"@type":"g:Int32","@value":1},"properties":{"weight":{"@type":"g:Property","@value":{"key":"weight","value":{"@type":"g:Double","@value":1.0}}}}}}]}}

我们将重新考虑在未来版本的 TinkerPop 中子图对不同语言变体的工作方式，但目前这些是我们仅有的解决方案。

Answer 2

上述解决方案对我不起作用.. 在 GremlinPython 中使用 SubgraphStrategy 的更好方法：

sg = g.withStrategies(SubgraphStrategy())

sg 将是一个 GraphTraversalSource.. check official documentation

例如，如果我想找到带有顶点标签“人”的子图

sg = g.withStrategies(SubgraphStrategy(vertices=hasLabel('person')))