Package com.google.cloud.aiplatform.v1beta1

Interface ImportFeatureValuesRequestOrBuilder

    • Method Detail

      • hasAvroSource

        boolean hasAvroSource()
        .google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
        Returns:
        Whether the avroSource field is set.

      • getAvroSource

        AvroSource getAvroSource()
        .google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
        Returns:
        The avroSource.

      • getAvroSourceOrBuilder

        AvroSourceOrBuilder getAvroSourceOrBuilder()
        .google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;

      • hasBigquerySource

        boolean hasBigquerySource()
        .google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
        Returns:
        Whether the bigquerySource field is set.

      • getBigquerySource

        BigQuerySource getBigquerySource()
        .google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
        Returns:
        The bigquerySource.

      • getBigquerySourceOrBuilder

        BigQuerySourceOrBuilder getBigquerySourceOrBuilder()
        .google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;

      • hasCsvSource

        boolean hasCsvSource()
        .google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
        Returns:
        Whether the csvSource field is set.

      • getCsvSource

        CsvSource getCsvSource()
        .google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
        Returns:
        The csvSource.

      • getCsvSourceOrBuilder

        CsvSourceOrBuilder getCsvSourceOrBuilder()
        .google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;

      • hasFeatureTimeField

        boolean hasFeatureTimeField()
         Source column that holds the Feature timestamp for all Feature
 values in each entity.
        string feature_time_field = 6;
        Returns:
        Whether the featureTimeField field is set.

      • getFeatureTimeField

        String getFeatureTimeField()
         Source column that holds the Feature timestamp for all Feature
 values in each entity.
        string feature_time_field = 6;
        Returns:
        The featureTimeField.

      • getFeatureTimeFieldBytes

        com.google.protobuf.ByteString getFeatureTimeFieldBytes()
         Source column that holds the Feature timestamp for all Feature
 values in each entity.
        string feature_time_field = 6;
        Returns:
        The bytes for featureTimeField.

      • hasFeatureTime

        boolean hasFeatureTime()
         Single Feature timestamp for all entities being imported. The
 timestamp must not have higher than millisecond precision.
        .google.protobuf.Timestamp feature_time = 7;
        Returns:
        Whether the featureTime field is set.

      • getFeatureTime

        com.google.protobuf.Timestamp getFeatureTime()
         Single Feature timestamp for all entities being imported. The
 timestamp must not have higher than millisecond precision.
        .google.protobuf.Timestamp feature_time = 7;
        Returns:
        The featureTime.

      • getFeatureTimeOrBuilder

        com.google.protobuf.TimestampOrBuilder getFeatureTimeOrBuilder()
         Single Feature timestamp for all entities being imported. The
 timestamp must not have higher than millisecond precision.
        .google.protobuf.Timestamp feature_time = 7;

      • getEntityType

        String getEntityType()
         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}`
        string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Returns:
        The entityType.

      • getEntityTypeBytes

        com.google.protobuf.ByteString getEntityTypeBytes()
         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}`
        string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Returns:
        The bytes for entityType.

      • getEntityIdField

        String getEntityIdField()
         Source column that holds entity IDs. If not provided, entity IDs are
 extracted from the column named entity_id.
        string entity_id_field = 5;
        Returns:
        The entityIdField.

      • getEntityIdFieldBytes

        com.google.protobuf.ByteString getEntityIdFieldBytes()
         Source column that holds entity IDs. If not provided, entity IDs are
 extracted from the column named entity_id.
        string entity_id_field = 5;
        Returns:
        The bytes for entityIdField.

      • getFeatureSpecsList

        List<ImportFeatureValuesRequest.FeatureSpec> getFeatureSpecsList()
         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.
        repeated .google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec feature_specs = 8 [(.google.api.field_behavior) = REQUIRED];

      • getFeatureSpecs

        ImportFeatureValuesRequest.FeatureSpec getFeatureSpecs​(int index)
         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.
        repeated .google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec feature_specs = 8 [(.google.api.field_behavior) = REQUIRED];

      • getFeatureSpecsCount

        int getFeatureSpecsCount()
         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.
        repeated .google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec feature_specs = 8 [(.google.api.field_behavior) = REQUIRED];

      • getFeatureSpecsOrBuilderList

        List<? extends ImportFeatureValuesRequest.FeatureSpecOrBuilder> getFeatureSpecsOrBuilderList()
         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.
        repeated .google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec feature_specs = 8 [(.google.api.field_behavior) = REQUIRED];

      • getFeatureSpecsOrBuilder

        ImportFeatureValuesRequest.FeatureSpecOrBuilder getFeatureSpecsOrBuilder​(int index)
         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.
        repeated .google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec feature_specs = 8 [(.google.api.field_behavior) = REQUIRED];

      • getDisableOnlineServing

        boolean getDisableOnlineServing()
         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.
        bool disable_online_serving = 9;
        Returns:
        The disableOnlineServing.

      • getWorkerCount

        int getWorkerCount()
         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.
        int32 worker_count = 11;
        Returns:
        The workerCount.

      • getDisableIngestionAnalysis

        boolean getDisableIngestionAnalysis()
         If true, API doesn't start ingestion analysis pipeline.
        bool disable_ingestion_analysis = 12;
        Returns:
        The disableIngestionAnalysis.