The Snowflake web-based data loader is incredibly painful and clunky to use in my opinion, and so I have just been using Einblick to throw data onto there — whether a demo CSV someone wants to use, or automating movement from our Hubspot CRM to Snowflake, I’ve run this quick script dozens of times this year.
You can upload a CSV and drop it directly in as a dataframe. Or finish your whole notebook and then just plug the results dataframe in and write it to database.
!pip install sqlalchemy #https://docs.sqlalchemy.org/en/14/core/connections.html !pip install snowflake.sqlalchemy #this example uses Snowflake from sqlalchemy import create_engine from snowflake.sqlalchemy import URL #set your connection to Snowflake -- you can use any DB here with SQLAlchemy engine = create_engine(URL( account = 'xx', user = 'xx', password = 'xx', database = 'xx', schema = 'xx', warehouse = 'xx', role='xx' )) con=engine.connect() chunksize = 10000 ##how many rows to send at a time tablename = 'xx' ##what table to write into df.to_sql(name=tablename, con=engine.connect(), if_exists='append', index=False, index_label=None, chunksize=chunksize)
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