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No worries, let me create an issue. You are right, g.E().hasNext() is fast, and that’s because the results are streamed. On the other hand, g.V().has(“id”, “v0”).outE().hasNext() is slow if vertex v0 has a huge amount of incident edges, and that’s because the results, in this case, are not streamed. It definitely needs some investigation, but usually it’s not a big problem because people don’t expect a large number of incident edges attached to a node.
Good luck with your work! If it’s not JanusGraph specific, you might also want to join the TinkerPop Discord server (https://discord.gg/ndMpKZcBEE
) to interact with the wider graph community.
On Jan 28, 2022, at 9:24 PM, Matthew Nguyen via lists.lfaidata.foundation <nguyenm9=aol.com@...
Happy to put in a request on github but still a little confused. Are we saying g.E().has('index_key', 'large_number_of_edges').hasNext() isn't streaming but should (note: g.E().hasNext() is fast) ? Also, I think to close the gap on RDF/Property Graph, we do need to see what can be done about allowing for natural modeling in RDF which is really to make liberal use of edges. The problem with properties and RDF is that RDF expects you to index virtually everything in order for the queries to be quick. Not sure how we can model non-generic properties in that capacity.
BTW I'm using Joshua's Graphsail (https://github.com/joshsh/graphsail) implementation to see if I can get it to work and trying to work through some of the edge (no pun intended) cases.