I did a similar exercise (not RDBMS but NoSql), and it was fairly easy using python. TL;DR version - Create the CSV files, write the headers (based off your data model), read each row and append to the right files. How you want to model your data into a Graph (what attributes become vertices, what becomes an edge, what becomes a property etc) depends on your user case and application, so I would imagine writing a custom script as the easiest way to go for this. Of course, if you want to do some sort of live migration, where you want all new inserts/edits to your RDBMS to mutate data into your graph, then you'd probably want to write an AWS Lambda function that does it.
Karthik
On Tuesday, 3 April 2018 04:59:55 UTC-7, Stephen Mallette wrote:
I'm not aware of any such tools and until I read this I didn't know that neptune had a CSV format. The format looks pretty straightforward though - seems like it would be quite simple to write some SQL to get your RDBMS data into that form.
Do we have nay tool by which I can convert /migrate/ my data modeled in RDBMS to neptune supported gremlin csvs
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