Class ImportFeatureValuesRequest (1.10.0)

  ImportFeatureValuesRequest 
 ( 
 mapping 
 = 
 None 
 , 
 * 
 , 
 ignore_unknown_fields 
 = 
 False 
 , 
 ** 
 kwargs 
 )

Request message for FeaturestoreService.ImportFeatureValues .

This message has oneof _ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes

Name	Description
avro_source	`google.cloud.aiplatform_v1beta1.types.AvroSource` This field is a member of `oneof`_ ``source``.
bigquery_source	`google.cloud.aiplatform_v1beta1.types.BigQuerySource` This field is a member of `oneof`_ ``source``.
csv_source	`google.cloud.aiplatform_v1beta1.types.CsvSource` This field is a member of `oneof`_ ``source``.
feature_time_field	`str` Source column that holds the Feature timestamp for all Feature values in each entity. This field is a member of `oneof`_ ``feature_time_source``.
feature_time	`google.protobuf.timestamp_pb2.Timestamp` Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision. This field is a member of `oneof`_ ``feature_time_source``.
entity_type	`str` Required. The resource name of the EntityType grouping the Features for which values are being imported. Format: ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}``
entity_id_field	`str` Source column that holds entity IDs. If not provided, entity IDs are extracted from the column named ``entity_id``.
feature_specs	`Sequence[ google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesRequest.FeatureSpec ]` Required. Specifications defining which Feature values to import from the entity. The request fails if no feature_specs are provided, and having multiple feature_specs for one Feature is not allowed.
disable_online_serving	`bool` If set, data will not be imported for online serving. This is typically used for backfilling, where Feature generation timestamps are not in the timestamp range needed for online serving.
worker_count	`int` Specifies the number of workers that are used to write data to the Featurestore. Consider the online serving capacity that you require to achieve the desired import throughput without interfering with online serving. The value must be positive, and less than or equal to 100. If not set, defaults to using 1 worker. The low count ensures minimal impact on online serving performance.

Inheritance

builtins.object > proto.message.Message > ImportFeatureValuesRequest

Classes

FeatureSpec

  FeatureSpec 
 ( 
 mapping 
 = 
 None 
 , 
 * 
 , 
 ignore_unknown_fields 
 = 
 False 
 , 
 ** 
 kwargs 
 )

Defines the Feature value(s) to import.