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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.
#dense
def dense() -> ::Boolean
Returns
-
(::Boolean) — Optional. If set, all feature values will be fetched
from a single row per unique entityId including nulls.
If not set, will collapse all rows for each unique entityId into a singe
row with any non-null values if present, if no non-null values are
present will sync null.
ex: If source has schema
(entity_id, feature_timestamp, f0, f1)
and the following rows:(e1, 2020-01-01T10:00:00.123Z, 10, 15)
(e1, 2020-02-01T10:00:00.123Z, 20, null)
If dense is set,(e1, 20, null)
is synced to online stores. If dense is not set,(e1, 20, 15)
is synced to online stores.
#dense=
def dense=(value) -> ::Boolean
Parameter
-
value (::Boolean) — Optional. If set, all feature values will be fetched
from a single row per unique entityId including nulls.
If not set, will collapse all rows for each unique entityId into a singe
row with any non-null values if present, if no non-null values are
present will sync null.
ex: If source has schema
(entity_id, feature_timestamp, f0, f1)
and the following rows:(e1, 2020-01-01T10:00:00.123Z, 10, 15)
(e1, 2020-02-01T10:00:00.123Z, 20, null)
If dense is set,(e1, 20, null)
is synced to online stores. If dense is not set,(e1, 20, 15)
is synced to online stores.
Returns
-
(::Boolean) — Optional. If set, all feature values will be fetched
from a single row per unique entityId including nulls.
If not set, will collapse all rows for each unique entityId into a singe
row with any non-null values if present, if no non-null values are
present will sync null.
ex: If source has schema
(entity_id, feature_timestamp, f0, f1)
and the following rows:(e1, 2020-01-01T10:00:00.123Z, 10, 15)
(e1, 2020-02-01T10:00:00.123Z, 20, null)
If dense is set,(e1, 20, null)
is synced to online stores. If dense is not set,(e1, 20, 15)
is synced to online stores.
#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
.
#static_data_source
def static_data_source() -> ::Boolean
Returns
- (::Boolean) — Optional. Set if the data source is not a time-series.
#static_data_source=
def static_data_source=(value) -> ::Boolean
Parameter
- value (::Boolean) — Optional. Set if the data source is not a time-series.
Returns
- (::Boolean) — Optional. Set if the data source is not a time-series.
#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.