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  1. Reference
  2. Online stores

Datastore

PreviousIKVNextDynamoDB

Last updated 14 days ago

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Description

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

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: datastore
  project_id: my_gcp_project
  namespace: my_datastore_namespace

The full set of configuration options is available in .

Functionality Matrix

Datastore

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

The set of functionality supported by online stores is described in detail . Below is a matrix indicating which functionality is supported by the Datastore online store.

To compare this set of functionality against other online stores, please see the full .

Datastore
here
DatastoreOnlineStoreConfig
here
functionality matrix