Speeding up Queries Made to JanusGraph
Hi, I am working with Janusgraph and my query is taking a while to execute (around 2.8 seconds), but I would like it to be faster. I read that I should create a composite index to improve speed and performance or something of that sort, but I am unfamiliar with how to do that in Python.
Here is my query: g.V().has("person", "name", "Bob").outE("knows").has("weight", P.gte(0.5)).inV().values("name").toList()
What my query does is it finds all the nodes that Bob has relationship "knows" with, as long as the weight of the edge to those nodes are >=0.5. Bob has around ~600 nodes that it's connected to with the "knows" relationship. It's fairly slow and takes 2.5-2.8 secs to complete.
I would like to speed this up greatly, any ideas?
(I originally posted this on the Gremlin server but was directed here)
Here is my query: g.V().has("person", "name", "Bob").outE("knows").has("weight", P.gte(0.5)).inV().values("name").toList()
What my query does is it finds all the nodes that Bob has relationship "knows" with, as long as the weight of the edge to those nodes are >=0.5. Bob has around ~600 nodes that it's connected to with the "knows" relationship. It's fairly slow and takes 2.5-2.8 secs to complete.
I would like to speed this up greatly, any ideas?
(I originally posted this on the Gremlin server but was directed here)
