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現在我有下面的查詢,我想得到所有的邊緣,這很有趣,爲什麼我們有2個相同的路徑,我想獲得路徑的細節。我該如何執行?我們如何獲得2個頂點路徑?
Vertex fromNode = g.V().has('name', 'alice').next();Vertex toNode = g.V().has('name', 'bobby').next();g.V(fromNode).repeat(both().simplePath()).until(is(toNode)).path() ==>[v[4224],v[40964296]] ==>[v[4224],v[40964296]] ==>[v[4224],v[4144],v[40964256],v[4096],v[40964296]]
我們有下面的圖表。
gremlin> a = graph.addVertex("name", "alice")
==>v[4208]
gremlin> b = graph.addVertex("name", "bobby")
==>v[40968424]
gremlin> c = graph.addVertex("name", "cindy")
==>v[4192]
gremlin> d = graph.addVertex("name", "david")
==>v[40972520]
gremlin> e = graph.addVertex("name", "eliza")
==>v[40964272]
gremlin> a.addEdge("rates",b,"tag","ruby","value",9)
==>e[2ry-38w-azv9-oe3fs][4208-rates->40968424]
gremlin> b.addEdge("rates",c,"tag","ruby","value",8)
==>e[odzq5-oe3fs-azv9-38g][40968424-rates->4192]
gremlin> c.addEdge("rates",d,"tag","ruby","value",7)
==>e[170-38g-azv9-oe6lk][4192-rates->40972520]
gremlin> d.addEdge("rates",e,"tag","ruby","value",6)
==>e[oe04d-oe6lk-azv9-oe08g][40972520-rates->40964272]
gremlin> a.addEdge("rates",e,"tag","java","value",9)
==>e[366-38w-azv9-oe08g][4208-rates->40964272]
gremlin> g.E().values("tag")
==>ruby
==>ruby
==>ruby
==>ruby
==>java
gremlin> graph.tx().commit()
我想獲得的路徑細節如下圖所示:
==>bobby=[v[0], e[10][0-rates->2], v[2]]
==>cindy=[v[0], e[10][0-rates->2], v[2], e[11][2-rates->4], v[4]]
==>david=[v[0], e[10][0-rates->2], v[2], e[11][2-rates->4], v[4], e[12][4-rates->6], v[6]]
哪裏我可以找到像otherV(),simplePath()這樣的函數嗎?我可以提及的任何文件或資源? – Jeff
所有步驟都在文檔中:http://tinkerpop.apache.org/docs/current/reference/#graph-traversal-steps –