I have model implemented in titan graph database with relations presented below:
[A] ---(e1)---> [B] <---(e2)--- [C] ---(e3)---> [D]
| | | | | | |
prop:id | prop:number | | label:e3 |
| | prop:id |
label:e1 label:e2 prop:number
prop:prop1
A
and B
are "main vertices" (for example users), vertices B
and C
are "less important vertices" describing some data connected with users.
The input for the query algorithm is property id
of vertex A
.
I want to find all such vertices D
, that are connected with A
in the manner shown above. What's more I want to remember the property prop1
of the edge e1
between A
and B
.
More precisely, I want to efficiently retrieve pairs (prop1, numberD)
where prop1
is the property of edge between A -> B
(if the edge has this property), and numberD
is the property number
from D
.
I don't know how to efficiently implement this query.
It is easy to retrieve only vertices D
(using GremlinPipes
):
pipe
.start(startVertex)
.outE("e1")
.inV().hasProperty("number")
.inE("e2")
.outV().hasProperty("id")
.outE("e3")
.inV().hasProperty("number");
But problems occur when I need to get also edges e1
and match them with vertices D
.
I tried to compute all these steps separately, but is seems to be very inefficient.
Do you have any suggestions how to implement this (maybe using several queries) using gremlin-java or gremlin-groovy? Thanks!