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Bigtable

Description

The Bigtable online store provides support for materializing feature values into Cloud Bigtable. The data model used to store feature values in Bigtable is described in more detail here.

Getting started

In order to use this online store, you'll need to run pip install 'feast[gcp]'. You can then get started with the command feast init REPO_NAME -t gcp.

Example

feature_store.yaml
project: my_feature_repo
registry: data/registry.db
provider: gcp
online_store:
type: bigtable
project_id: my_gcp_project
instance: my_bigtable_instance
The full set of configuration options is available in BigtableOnlineStoreConfig.

Functionality Matrix

The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the Bigtable online store.
Text
Bigtable
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
yes
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
yes
To compare this set of functionality against other online stores, please see the full functionality matrix.