Full repeating traversal

[Neelima Tula]

Hi Team,

I am working on a complex graph data that has central node and multiple nodes connected to it and further connected to multiple nodes and so on.

I would like to traverse through a complete path from central node to end.

I am using the query:

%%gremlin
g.V('12345').repeat(bothE().otherV()).simplePath().path()

and it throws below error:

{ 

     "code": "MemoryLimitExceededException",

     "requestId": "c83563f5-821b-45a3-8503-694617e4bec7",

     "detailedMessage": "Query cannot be completed due to memory limitations."

 }

How can I traverse a complete path and get the results without the memory error? Any help is greatly appreciated.

Thanks.

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[Neelima Tula]

I am running Gremlin queries in Jupyter notebook. Not sure if the error is related to Jupyter or Gremlin or Neptune.

Thanks.

[Kelvin Lawrence]

You have not given your repeat loop any kind of termination condition so it is going to try to find every possible path from that given start point while obeying the simplePath requirement.

Cheers

Kelvin

[Kelvin Lawrence]

You could try adding a limit(1) to see if it works or adding an until condition to tell repeat when to stop.

What size of Neptune instance are you using?

Cheers

Kelvin

[Neelima Tula]

Thank you Kelvin for the response.

 

The problem I have got is, I don’t know how many times to repeat the traversal. From manual observation, the query works when repeated 6 times (i.e, when I mention times(6)) for this specific ID.

I can’t specify any ‘until’ condition as I don’t know where the starting node traverses through.

 

I have got millions of IDs which are connected to other multiple nodes and which are further connected to multiple nodes and so on. I want to traverse the path through each of the IDs (see where the path ends) and work on centrality calculations of the nodes associated within the graphs of individual IDs.

Is there a way, I can implement this?

 

I am working on Neptune instance of size ml.t3.2xlarge.

 

Regards,

Neelima

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[Kelvin Lawrence]

What is the size of the Neptune instance you are connected to? I believe the ml.t3.2xlarge you mention is the SageMaker instance type. Larger Neptune instances have more memory, which may be needed for more complex queries.

As this discussion is specific to Amazon Neptune, you may want to open an AWS support case if you are able. or move the conversation to https://repost.aws/ as an alternative.

Cheers,

Kelvin