Sample Graph: Tinker Modern
Query: Find all direct friends (person
Vertex) of Marko and (union) all software
in second hop.
Failed attempts:
Generic Query for first level people:
g.V(1).hasLabel("person").repeat(both()).times(1).emit(hasLabel("person")).hasLabel("person").values("name")
Generic Query for second level/hop software:
g.V(1).hasLabel("person").repeat(both()).times(2).emit(hasLabel("software")).hasLabel("software").values("name")
Attempt to merge above two queries:
g.V(1).hasLabel("person").repeat(both()).times(1).emit(hasLabel("person")).hasLabel("person").repeat(both()).times(2).emit(hasLabel("software")).hasLabel("software").values("name")
I didn't really understand how union works, because its not merging data.
g.V(1).union().V(2)
g.V(1).union(V(2))
Best I got till now is, but I want some ability to do like (marko connected to person AND/OR marko connected to software):
gremlin> g.V(1).store('x').V(2).store('y').cap('x', 'y')
==>[x:[v[1]],y:[v[2]]]
This for first level:
gremlin> g.V(1).hasLabel("person").as("from", "to1", "to2")
.repeat(both()).times(1).emit(hasLabel("person")).hasLabel("person").as("to1")
.select("from")
.repeat(both()).times(1).emit(hasLabel("software")).hasLabel("software").as("to2")
.project("from", "person", "software")
.by(select("from").by("name"))
.by(select("to1").by("name"))
.by(select("to2").by("name"))
Result:
==>[from:marko,person:vadas,software:lop]
==>[from:marko,person:josh,software:lop]
For multilevel increse the value of times