Interface FeatureGroup.BigQueryOrBuilder (3.54.0)

public static interface FeatureGroup.BigQueryOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getBigQuerySource()

public abstract BigQuerySource getBigQuerySource()

Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.

.google.cloud.aiplatform.v1beta1.BigQuerySource big_query_source = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = REQUIRED];

Returns
Type Description
BigQuerySource

The bigQuerySource.

getBigQuerySourceOrBuilder()

public abstract BigQuerySourceOrBuilder getBigQuerySourceOrBuilder()

Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.

.google.cloud.aiplatform.v1beta1.BigQuerySource big_query_source = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = REQUIRED];

Returns
Type Description
BigQuerySourceOrBuilder

getDense()

public abstract boolean getDense()

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.

bool dense = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

The dense.

getEntityIdColumns(int index)

public abstract String getEntityIdColumns(int index)

Optional. Columns to construct entity_id / row keys. If not provided defaults to entity_id.

repeated string entity_id_columns = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int

The index of the element to return.

Returns
Type Description
String

The entityIdColumns at the given index.

getEntityIdColumnsBytes(int index)

public abstract ByteString getEntityIdColumnsBytes(int index)

Optional. Columns to construct entity_id / row keys. If not provided defaults to entity_id.

repeated string entity_id_columns = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int

The index of the value to return.

Returns
Type Description
ByteString

The bytes of the entityIdColumns at the given index.

getEntityIdColumnsCount()

public abstract int getEntityIdColumnsCount()

Optional. Columns to construct entity_id / row keys. If not provided defaults to entity_id.

repeated string entity_id_columns = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The count of entityIdColumns.

getEntityIdColumnsList()

public abstract List<String> getEntityIdColumnsList()

Optional. Columns to construct entity_id / row keys. If not provided defaults to entity_id.

repeated string entity_id_columns = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<String>

A list containing the entityIdColumns.

getStaticDataSource()

public abstract boolean getStaticDataSource()

Optional. Set if the data source is not a time-series.

bool static_data_source = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

The staticDataSource.

getTimeSeries()

public abstract FeatureGroup.BigQuery.TimeSeries getTimeSeries()

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.

.google.cloud.aiplatform.v1beta1.FeatureGroup.BigQuery.TimeSeries time_series = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureGroup.BigQuery.TimeSeries

The timeSeries.

getTimeSeriesOrBuilder()

public abstract FeatureGroup.BigQuery.TimeSeriesOrBuilder getTimeSeriesOrBuilder()

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.

.google.cloud.aiplatform.v1beta1.FeatureGroup.BigQuery.TimeSeries time_series = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureGroup.BigQuery.TimeSeriesOrBuilder

hasBigQuerySource()

public abstract boolean hasBigQuerySource()

Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.

.google.cloud.aiplatform.v1beta1.BigQuerySource big_query_source = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the bigQuerySource field is set.

hasTimeSeries()

public abstract boolean hasTimeSeries()

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.

.google.cloud.aiplatform.v1beta1.FeatureGroup.BigQuery.TimeSeries time_series = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the timeSeries field is set.