Overview
Functionality
Here are the methods exposed by the OnlineStore
interface, along with the core functionality supported by the method:
online_write_batch
: write feature values to the online storeonline_read
: read feature values from the online storeupdate
: update infrastructure (e.g. tables) in the online storeteardown
: teardown infrastructure (e.g. tables) in the online storeplan
: generate a plan of infrastructure changes based on feature repo changes
There is also additional functionality not properly captured by these interface methods:
support for on-demand transforms
readable by Python SDK
readable by Java
readable by Go
support for entityless feature views
support for concurrent writing to the same key
support for ttl (time to live) at retrieval
support for deleting expired data
Finally, there are multiple data models for storing the features in the online store. For example, features could be:
collocated by feature view
collocated by feature service
collocated by entity key
See this issue for a discussion around the tradeoffs of each of these data models.
Functionality Matrix
There are currently five core online store implementations: SqliteOnlineStore
, RedisOnlineStore
, DynamoDBOnlineStore
, SnowflakeOnlineStore
, and DatastoreOnlineStore
. There are several additional implementations contributed by the Feast community (PostgreSQLOnlineStore
, HbaseOnlineStore
, and CassandraOnlineStore
), which are not guaranteed to be stable or to match the functionality of the core implementations. Details for each specific online store, such as how to configure it in a feature_store.yaml
, can be found here.
Below is a matrix indicating which online stores support what functionality.
Last updated