If you are receiving a warning message regarding a time difference when connecting to Snowflake with SQLAlchemy, it may be because the Snowflake account is in a different time zone than your local machine.
To resolve this issue, you can set the `timezone` parameter in your SQLAlchemy connection string to the appropriate time zone for your Snowflake account. For example, if your Snowflake account is in the Pacific Time zone, you can set the `timezone` parameter to `’US/Pacific’`.
Here is an example of how to set the `timezone` parameter in a SQLAlchemy connection string:
from sqlalchemy import create_engine
engine = create_engine(‘snowflake://user:password@account/database/schema?warehouse=my_warehouse&timezone=US/Pacific’)
In this example, `user` and `password` are your Snowflake credentials, `account` is the name of your Snowflake account, `database` and `schema` are the names of the database and schema you want to connect to, and `my_warehouse` is the name of the Snowflake warehouse you want to use. The `timezone` parameter is set to `’US/Pacific’`.
Overall, setting the `timezone` parameter in your SQLAlchemy connection string can help ensure that your Snowflake queries return accurate results, regardless of your local time zone.