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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeatureOnlineStore.
Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#bigtable
def bigtable() -> ::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Bigtable
- (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Bigtable) — Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
#bigtable=
def bigtable=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Bigtable
- value (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Bigtable) — Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
- (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Bigtable) — Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
#create_time
def create_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this FeatureOnlineStore was created.
#dedicated_serving_endpoint
def dedicated_serving_endpoint() -> ::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::DedicatedServingEndpoint
- (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::DedicatedServingEndpoint) — Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
#dedicated_serving_endpoint=
def dedicated_serving_endpoint=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::DedicatedServingEndpoint
- value (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::DedicatedServingEndpoint) — Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
- (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::DedicatedServingEndpoint) — Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
#encryption_spec
def encryption_spec() -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
- (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Optional. Customer-managed encryption key spec for data storage. If set, online store will be secured by this key.
#encryption_spec=
def encryption_spec=(value) -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
- value (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Optional. Customer-managed encryption key spec for data storage. If set, online store will be secured by this key.
- (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Optional. Customer-managed encryption key spec for data storage. If set, online store will be secured by this key.
#etag
def etag() -> ::String
- (::String) — Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#etag=
def etag=(value) -> ::String
- value (::String) — Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- (::String) — Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#labels
def labels() -> ::Google::Protobuf::Map{::String => ::String}
-
(::Google::Protobuf::Map{::String => ::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.
#labels=
def labels=(value) -> ::Google::Protobuf::Map{::String => ::String}
-
value (::Google::Protobuf::Map{::String => ::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.
-
(::Google::Protobuf::Map{::String => ::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.
#name
def name() -> ::String
-
(::String) — Identifier. Name of the FeatureOnlineStore. Format:
projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
#name=
def name=(value) -> ::String
-
value (::String) — Identifier. Name of the FeatureOnlineStore. Format:
projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
-
(::String) — Identifier. Name of the FeatureOnlineStore. Format:
projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
#optimized
def optimized() -> ::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Optimized
- (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Optimized) — Contains 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.
#optimized=
def optimized=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Optimized
- value (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Optimized) — Contains 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.
- (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::Optimized) — Contains 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.
#state
def state() -> ::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::State
- (::Google::Cloud::AIPlatform::V1::FeatureOnlineStore::State) — Output only. State of the featureOnlineStore.
#update_time
def update_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this FeatureOnlineStore was last updated.