Package com.google.cloud.aiplatform.v1

Interface FeatureGroup.BigQueryOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
FeatureGroup.BigQuery, FeatureGroup.BigQuery.Builder
Enclosing class:
FeatureGroup
public static interface FeatureGroup.BigQueryOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasBigQuerySource

      boolean hasBigQuerySource()
       Required. Immutable. The BigQuery source URI that points to either a
 BigQuery Table or View.
      .google.cloud.aiplatform.v1.BigQuerySource big_query_source = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = REQUIRED];
      Returns:
      Whether the bigQuerySource field is set.

    • getBigQuerySource

      BigQuerySource getBigQuerySource()
       Required. Immutable. The BigQuery source URI that points to either a
 BigQuery Table or View.
      .google.cloud.aiplatform.v1.BigQuerySource big_query_source = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = REQUIRED];
      Returns:
      The bigQuerySource.

    • getBigQuerySourceOrBuilder

      BigQuerySourceOrBuilder getBigQuerySourceOrBuilder()
       Required. Immutable. The BigQuery source URI that points to either a
 BigQuery Table or View.
      .google.cloud.aiplatform.v1.BigQuerySource big_query_source = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = REQUIRED];

    • getEntityIdColumnsList

      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:
      A list containing the entityIdColumns.

    • getEntityIdColumnsCount

      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:
      The count of entityIdColumns.

    • getEntityIdColumns

      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];
      Parameters:
      index - The index of the element to return.
      Returns:
      The entityIdColumns at the given index.

    • getEntityIdColumnsBytes

      com.google.protobuf.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];
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the entityIdColumns at the given index.

    • getStaticDataSource

      boolean getStaticDataSource()
       Optional. Set if the data source is not a time-series.
      bool static_data_source = 3 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The staticDataSource.

    • hasTimeSeries

      boolean hasTimeSeries()
       Optional. If the source is a time-series source, this can be set to
 control how downstream sources (ex:
 [FeatureView][google.cloud.aiplatform.v1.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.v1.FeatureGroup.BigQuery.TimeSeries time_series = 4 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the timeSeries field is set.

    • getTimeSeries

      FeatureGroup.BigQuery.TimeSeries getTimeSeries()
       Optional. If the source is a time-series source, this can be set to
 control how downstream sources (ex:
 [FeatureView][google.cloud.aiplatform.v1.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.v1.FeatureGroup.BigQuery.TimeSeries time_series = 4 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The timeSeries.

    • getTimeSeriesOrBuilder

      FeatureGroup.BigQuery.TimeSeriesOrBuilder getTimeSeriesOrBuilder()
       Optional. If the source is a time-series source, this can be set to
 control how downstream sources (ex:
 [FeatureView][google.cloud.aiplatform.v1.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.v1.FeatureGroup.BigQuery.TimeSeries time_series = 4 [(.google.api.field_behavior) = OPTIONAL];

    • getDense

      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:
      The dense.