How to speed up gremlin query
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?
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?
Solution
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.as a point of clarification around indices, you wouldn't likely do that step with python. you typically use gremlinpython just to write Gremlin. For index management, you need to use JanusGraph's APIs directly. often those are just commands you would execute directly in Gremlin Console against a JanusGraph instance.
Apache TinkerPop is an open source graph computing framework and the home of the Gremlin graph query language.
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