Snowflake
Table sources are used directly via a view. Featureform will never write to a primary source.
Files are copied into a Snowflake table via a Kubernetes Job kicked off by our coordinator. If scheduling is set, the table will atomically be re-copied over.
SQL transformations are used to create a view. By default, those views are materialized and updated according to the schedule parameter. Deprecated transformations are converted to un-materialized views to save storage space.
When a feature is registered, Featureform creates an internal transformation to get the newest value of every feature and its associated entity. A Kubernetes job is then kicked off to sync this up with the Inference store.
Every registered feature and label is associated with a view table. That view contains three columns, the entity, value, and timestamp. When a training set is registered, it is created as a materialized view via a JOIN on the corresponding label and feature views.
First we have to add a declarative Snowflake configuration in Python.
snowflake_config.py
import featureform as ff
ff.register_snowflake(
name = "snowflake_docs",
description = "Example inference store",
team = "Featureform",
username = snowflake_username,
password: snowflake_password,
account: snowflake_account,
organization: snowflake_org,
database: snowflake_database,
schema: snowflake_schema,
)
Older Snowflake accounts may have credentials that use an
Account Locator rather than an account and organization to connect. Featureform provides a separate registration function to support these credentials.snowflake_config.py
import featureform as ff
ff.register_snowflake_legacy(
name = "snowflake_docs",
description = "Example inference store",
team = "Featureform",
username = snowflake_username,
password: snowflake_password,
account_locator: snowflake_account_locator,
database: snowflake_database,
schema: snowflake_schema,
)
Once our config file is complete, we can apply it to our Featureform deployment
featureform apply snowflake_config.py --host $FEATUREFORM_HOST
We can re-verify that the provider is created by checking the Providers tab of the Feature Registry.
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Last modified 21d ago