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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::ImportFeatureValuesRequest.
Request message for FeaturestoreService.ImportFeatureValues.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#avro_source
def avro_source() -> ::Google::Cloud::AIPlatform::V1::AvroSource#avro_source=
def avro_source=(value) -> ::Google::Cloud::AIPlatform::V1::AvroSource
Parameter
#bigquery_source
def bigquery_source() -> ::Google::Cloud::AIPlatform::V1::BigQuerySource#bigquery_source=
def bigquery_source=(value) -> ::Google::Cloud::AIPlatform::V1::BigQuerySource
Parameter
#csv_source
def csv_source() -> ::Google::Cloud::AIPlatform::V1::CsvSource#csv_source=
def csv_source=(value) -> ::Google::Cloud::AIPlatform::V1::CsvSource
Parameter
#disable_ingestion_analysis
def disable_ingestion_analysis() -> ::Boolean
Returns
- (::Boolean) — If true, API doesn't start ingestion analysis pipeline.
#disable_ingestion_analysis=
def disable_ingestion_analysis=(value) -> ::Boolean
Parameter
- value (::Boolean) — If true, API doesn't start ingestion analysis pipeline.
Returns
- (::Boolean) — If true, API doesn't start ingestion analysis pipeline.
#disable_online_serving
def disable_online_serving() -> ::Boolean
Returns
- (::Boolean) — 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.
#disable_online_serving=
def disable_online_serving=(value) -> ::Boolean
Parameter
- value (::Boolean) — 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.
Returns
- (::Boolean) — 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.
#entity_id_field
def entity_id_field() -> ::String
Returns
-
(::String) — Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named
entity_id.
#entity_id_field=
def entity_id_field=(value) -> ::String
Parameter
-
value (::String) — Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named
entity_id.
Returns
-
(::String) — Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named
entity_id.
#entity_type
def entity_type() -> ::String
Returns
-
(::String) — 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_type=
def entity_type=(value) -> ::String
Parameter
-
value (::String) — 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}
Returns
-
(::String) — 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}
#feature_specs
def feature_specs() -> ::Array<::Google::Cloud::AIPlatform::V1::ImportFeatureValuesRequest::FeatureSpec>
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::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.
#feature_specs=
def feature_specs=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::ImportFeatureValuesRequest::FeatureSpec>
Parameter
- value (::Array<::Google::Cloud::AIPlatform::V1::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.
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::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.
#feature_time
def feature_time() -> ::Google::Protobuf::Timestamp
Returns
- (::Google::Protobuf::Timestamp) — Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
#feature_time=
def feature_time=(value) -> ::Google::Protobuf::Timestamp
Parameter
- value (::Google::Protobuf::Timestamp) — Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
Returns
- (::Google::Protobuf::Timestamp) — Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
#feature_time_field
def feature_time_field() -> ::String
Returns
- (::String) — Source column that holds the Feature timestamp for all Feature values in each entity.
#feature_time_field=
def feature_time_field=(value) -> ::String
Parameter
- value (::String) — Source column that holds the Feature timestamp for all Feature values in each entity.
Returns
- (::String) — Source column that holds the Feature timestamp for all Feature values in each entity.
#worker_count
def worker_count() -> ::Integer
Returns
- (::Integer) — 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.
#worker_count=
def worker_count=(value) -> ::Integer
Parameter
- value (::Integer) — 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.
Returns
- (::Integer) — 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.