Hello, I’m sharing a question I asked on stackoverflow but have not received any answer yet: python - Is there a more efficient way to query a mongodb collection and normalize the result? - Stack Overflow
As you can see, I’m using pymongo to connect to MongoDB, query the database then use pandas’ json_normalize - but that is quite memory heavy. Could you let me know if there is either a more efficient way to query the db or if there is an alternative way? Is the above possible with the aggregation pipeline?
Thanks!