The Snowflake offline store provides support for reading SnowflakeSources.
Snowflake tables and views are allowed as sources.
All joins happen within Snowflake.
Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. Pandas dataframes will be uploaded to Snowflake in order to complete join operations.
A SnowflakeRetrievalJob is returned when calling get_historical_features().
This allows you to call
to_snowflake to save the dataset into Snowflake
Configuration options are available in .
to_sql to get the SQL query that would execute on to_df
to_arrow_chunks to get the result in batches (Snowflake python connector docs)
project: my_feature_repo
registry: data/registry.db
provider: local
offline_store:
type: snowflake.offline
account: snowflake_deployment.us-east-1
user: user_login
password: user_password
role: sysadmin
warehouse: demo_wh
database: FEAST