I've been looking at the Gremlin graph language, and it appears very powerful. However, whilst running through what it can do to evaluate it against requirements, I came across a case that I can't seem to complete.
Assuming Gremlin is started, and using its example database:
gremlin> g = TinkerGraphFactory.createTinkerGraph()
...
gremlin> g.V.out('knows')
==>v[2]
==>v[4]
So this shows vertices that have an edge of 'knows'.
However, I want to find vertices that do not have edges of 'knows'. Something like:
gremlin> g.V.outNot('knows')
==>v[3]
==>v[5]
==>v[6]
How do I find these vertices?
(Edited to make the output correct)
I interpret this question several ways, but perhaps this is what you are after. One way would be to do:
gremlin> g = TinkerGraphFactory.createTinkerGraph()
==>tinkergraph[vertices:6 edges:6]
gremlin> g.V.outE.hasNot('label','knows')
==>e[9][1-created->3]
==>e[12][6-created->3]
==>e[10][4-created->5]
==>e[11][4-created->3]
gremlin> g.V.outE.hasNot('label','knows').inV
==>v[3]
==>v[3]
==>v[5]
==>v[3]
Note that label and id are both recognized as properties:
gremlin> g.V.has('id',"1")
==>v[1]
gremlin> g.E.map("label","id")
==>{id=10, label=created}
==>{id=7, label=knows}
==>{id=9, label=created}
==>{id=8, label=knows}
==>{id=11, label=created}
==>{id=12, label=created}
Another way to consider this question would be to find a list of vertices that don't have a "knows" edge:
gremlin> g.V.filter{!it.bothE('knows').hasNext()}
==>v[3]
==>v[6]
==>v[5]