nabeel

Snowflake is really well optimized for analytical queries that from our experience are really non-performative in Neptune

I don't but that definitely sounds intriguing. Our process generally involves taking data in snowflake and dumping into Neptune

Glad to hear it!

if you do something like

for row in results:
   dict_results = row.asdict()

the dict_results will be in rdflib variables so like URIRef, Literal, etc so you may need to iterate through the dict and do .toPython() but it might be worth trying and seeing what happens if you write that dict_results to a csv. I haven't tried myself

hmm i haven't used the COUNT() or SUM() rdflib functions myself

my general practice to count the number of results from like a SPARQL query is to use

res = graph.query(sparql_query)
len(res)

like to count the number of results?

Thanks for tips here!