Vertex AI Feature Online Store

Vertex AI Feature Online Store is a managed service in Google Cloud that provides low-latency access to machine learning features for online prediction. It stores and serves feature values generated by feature engineering pipelines, ensuring consistency between training and serving data. This enables real-time inference with up-to-date feature data integrated into Vertex AI workflows.

gcp.aiplatform_feature_online_store

Fields

TitleIDTypeData TypeDescription
_keycorestring
ancestorscorearray<string>
bigtablecorejsonContains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
create_timecoretimestampOutput only. Timestamp when this FeatureOnlineStore was created.
datadog_display_namecorestring
dedicated_serving_endpointcorejsonOptional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
encryption_speccorejsonOptional. Customer-managed encryption key spec for data storage. If set, online store will be secured by this key.
etagcorestringOptional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labelscorearray<string>Optional. The labels with user-defined metadata to organize your FeatureOnlineStore. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
namecorestringIdentifier. Name of the FeatureOnlineStore. Format: `projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}`
optimizedcorejsonContains settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. When choose Optimized storage type, need to set PrivateServiceConnectConfig.enable_private_service_connect to use private endpoint. Otherwise will use public endpoint by default.
organization_idcorestring
parentcorestring
project_idcorestring
project_numbercorestring
region_idcorestring
resource_namecorestring
satisfies_pzicoreboolOutput only. Reserved for future use.
satisfies_pzscoreboolOutput only. Reserved for future use.
statecorestringOutput only. State of the featureOnlineStore.
tagscorehstore_csv
update_timecoretimestampOutput only. Timestamp when this FeatureOnlineStore was last updated.
zone_idcorestring