The Snowflake online store provides support for materializing feature values into a Snowflake Transient Table for serving online features.
Only the latest feature values are persisted
The data model for using a Snowflake Transient Table as an online store follows a tall format (one row per feature)):
"entity_feature_key" (BINARY) -- unique key used when reading specific feature_view x entity combination
"entity_key" (BINARY) -- repeated key currently unused for reading entity_combination
"feature_name" (VARCHAR)
"value" (BINARY)
"event_ts" (TIMESTAMP)
"created_ts" (TIMESTAMP)
(This model may be subject to change when Snowflake Hybrid Tables are released)
In order to use this online store, you'll need to run pip install 'feast[snowflake]'
. You can then get started with the command feast init REPO_NAME -t snowflake
.
"snowflake-online-store/online_path": Adding the "snowflake-online-store/online_path" key to a FeatureView tags parameter allows you to choose the online table path for the online serving table (ex. "{database}"."{schema}").
The full set of configuration options is available in SnowflakeOnlineStoreConfig.
The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the Snowflake online store.
write feature values to the online store
yes
read feature values from the online store
yes
update infrastructure (e.g. tables) in the online store
yes
teardown infrastructure (e.g. tables) in the online store
yes
generate a plan of infrastructure changes
no
support for on-demand transforms
yes
readable by Python SDK
yes
readable by Java
no
readable by Go
no
support for entityless feature views
yes
support for concurrent writing to the same key
no
support for ttl (time to live) at retrieval
no
support for deleting expired data
no
collocated by feature view
yes
collocated by feature service
no
collocated by entity key
no
To compare this set of functionality against other online stores, please see the full functionality matrix.