Package com.google.cloud.aiplatform.v1

Interface FeaturestoreServiceGrpc.AsyncService

    • Method Detail

      • createFeaturestore

        default void createFeaturestore​(CreateFeaturestoreRequest request,
                                io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Creates a new Featurestore in a given project and location.

      • getFeaturestore

        default void getFeaturestore​(GetFeaturestoreRequest request,
                             io.grpc.stub.StreamObserver<Featurestore> responseObserver)
         Gets details of a single Featurestore.

      • updateFeaturestore

        default void updateFeaturestore​(UpdateFeaturestoreRequest request,
                                io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Updates the parameters of a single Featurestore.

      • deleteFeaturestore

        default void deleteFeaturestore​(DeleteFeaturestoreRequest request,
                                io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Deletes a single Featurestore. The Featurestore must not contain any
 EntityTypes or `force` must be set to true for the request to succeed.

      • createEntityType

        default void createEntityType​(CreateEntityTypeRequest request,
                              io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Creates a new EntityType in a given Featurestore.

      • getEntityType

        default void getEntityType​(GetEntityTypeRequest request,
                           io.grpc.stub.StreamObserver<EntityType> responseObserver)
         Gets details of a single EntityType.

      • updateEntityType

        default void updateEntityType​(UpdateEntityTypeRequest request,
                              io.grpc.stub.StreamObserver<EntityType> responseObserver)
         Updates the parameters of a single EntityType.

      • deleteEntityType

        default void deleteEntityType​(DeleteEntityTypeRequest request,
                              io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Deletes a single EntityType. The EntityType must not have any Features
 or `force` must be set to true for the request to succeed.

      • createFeature

        default void createFeature​(CreateFeatureRequest request,
                           io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Creates a new Feature in a given EntityType.

      • batchCreateFeatures

        default void batchCreateFeatures​(BatchCreateFeaturesRequest request,
                                 io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Creates a batch of Features in a given EntityType.

      • getFeature

        default void getFeature​(GetFeatureRequest request,
                        io.grpc.stub.StreamObserver<Feature> responseObserver)
         Gets details of a single Feature.

      • updateFeature

        default void updateFeature​(UpdateFeatureRequest request,
                           io.grpc.stub.StreamObserver<Feature> responseObserver)
         Updates the parameters of a single Feature.

      • deleteFeature

        default void deleteFeature​(DeleteFeatureRequest request,
                           io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Deletes a single Feature.

      • importFeatureValues

        default void importFeatureValues​(ImportFeatureValuesRequest request,
                                 io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Imports Feature values into the Featurestore from a source storage.
 The progress of the import is tracked by the returned operation. The
 imported features are guaranteed to be visible to subsequent read
 operations after the operation is marked as successfully done.
 If an import operation fails, the Feature values returned from
 reads and exports may be inconsistent. If consistency is
 required, the caller must retry the same import request again and wait till
 the new operation returned is marked as successfully done.
 There are also scenarios where the caller can cause inconsistency.
  - Source data for import contains multiple distinct Feature values for
    the same entity ID and timestamp.
  - Source is modified during an import. This includes adding, updating, or
  removing source data and/or metadata. Examples of updating metadata
  include but are not limited to changing storage location, storage class,
  or retention policy.
  - Online serving cluster is under-provisioned.

      • batchReadFeatureValues

        default void batchReadFeatureValues​(BatchReadFeatureValuesRequest request,
                                    io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Batch reads Feature values from a Featurestore.
 This API enables batch reading Feature values, where each read
 instance in the batch may read Feature values of entities from one or
 more EntityTypes. Point-in-time correctness is guaranteed for Feature
 values of each read instance as of each instance's read timestamp.

      • exportFeatureValues

        default void exportFeatureValues​(ExportFeatureValuesRequest request,
                                 io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Exports Feature values from all the entities of a target EntityType.

      • deleteFeatureValues

        default void deleteFeatureValues​(DeleteFeatureValuesRequest request,
                                 io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Delete Feature values from Featurestore.
 The progress of the deletion is tracked by the returned operation. The
 deleted feature values are guaranteed to be invisible to subsequent read
 operations after the operation is marked as successfully done.
 If a delete feature values operation fails, the feature values
 returned from reads and exports may be inconsistent. If consistency is
 required, the caller must retry the same delete request again and wait till
 the new operation returned is marked as successfully done.