Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::FeatureGroup::BigQuery (v0.50.0)

Version 0.50.0

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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeatureGroup::BigQuery.

Input source type for BigQuery Tables and Views.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#big_query_source

def big_query_source() -> ::Google::Cloud::AIPlatform::V1::BigQuerySource

Returns

• (::Google::Cloud::AIPlatform::V1::BigQuerySource) — Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.

#big_query_source=

def big_query_source=(value) -> ::Google::Cloud::AIPlatform::V1::BigQuerySource

Parameter

• value (::Google::Cloud::AIPlatform::V1::BigQuerySource) — Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.

Returns

• (::Google::Cloud::AIPlatform::V1::BigQuerySource) — Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.

#entity_id_columns

def entity_id_columns() -> ::Array<::String>

Returns

• (::Array<::String>) — Optional. Columns to construct entity_id / row keys. If not provided defaults to entity_id.

#entity_id_columns=

def entity_id_columns=(value) -> ::Array<::String>

Parameter

• value (::Array<::String>) — Optional. Columns to construct entity_id / row keys. If not provided defaults to entity_id.

Returns

• (::Array<::String>) — Optional. Columns to construct entity_id / row keys. If not provided defaults to entity_id.

#time_series

def time_series() -> ::Google::Cloud::AIPlatform::V1::FeatureGroup::BigQuery::TimeSeries

Returns

• (::Google::Cloud::AIPlatform::V1::FeatureGroup::BigQuery::TimeSeries) — Optional. If the source is a time-series source, this can be set to control how downstream sources (ex: FeatureView ) will treat time-series sources. If not set, will treat the source as a time-series source with feature_timestamp as timestamp column and no scan boundary.

#time_series=

def time_series=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureGroup::BigQuery::TimeSeries

Parameter

• value (::Google::Cloud::AIPlatform::V1::FeatureGroup::BigQuery::TimeSeries) — Optional. If the source is a time-series source, this can be set to control how downstream sources (ex: FeatureView ) will treat time-series sources. If not set, will treat the source as a time-series source with feature_timestamp as timestamp column and no scan boundary.

Returns

• (::Google::Cloud::AIPlatform::V1::FeatureGroup::BigQuery::TimeSeries) — Optional. If the source is a time-series source, this can be set to control how downstream sources (ex: FeatureView ) will treat time-series sources. If not set, will treat the source as a time-series source with feature_timestamp as timestamp column and no scan boundary.