com.google.cloud.aiplatform.v1

Interface ImportFeatureValuesRequestOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ImportFeatureValuesRequest, ImportFeatureValuesRequest.Builder

public interface ImportFeatureValuesRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
AvroSource	getAvroSource() .google.cloud.aiplatform.v1.AvroSource avro_source = 2;
AvroSourceOrBuilder	getAvroSourceOrBuilder() .google.cloud.aiplatform.v1.AvroSource avro_source = 2;
BigQuerySource	getBigquerySource() .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;
BigQuerySourceOrBuilder	getBigquerySourceOrBuilder() .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;
CsvSource	getCsvSource() .google.cloud.aiplatform.v1.CsvSource csv_source = 4;
CsvSourceOrBuilder	getCsvSourceOrBuilder() .google.cloud.aiplatform.v1.CsvSource csv_source = 4;
boolean	getDisableIngestionAnalysis() If true, API doesn't start ingestion analysis pipeline.
boolean	getDisableOnlineServing() If set, data will not be imported for online serving.
String	getEntityIdField() Source column that holds entity IDs.
com.google.protobuf.ByteString	getEntityIdFieldBytes() Source column that holds entity IDs.
String	getEntityType() Required.
com.google.protobuf.ByteString	getEntityTypeBytes() Required.
ImportFeatureValuesRequest.FeatureSpec	getFeatureSpecs(int index) Required.
int	getFeatureSpecsCount() Required.
List<ImportFeatureValuesRequest.FeatureSpec>	getFeatureSpecsList() Required.
ImportFeatureValuesRequest.FeatureSpecOrBuilder	getFeatureSpecsOrBuilder(int index) Required.
List<? extends ImportFeatureValuesRequest.FeatureSpecOrBuilder>	getFeatureSpecsOrBuilderList() Required.
com.google.protobuf.Timestamp	getFeatureTime() Single Feature timestamp for all entities being imported.
String	getFeatureTimeField() Source column that holds the Feature timestamp for all Feature values in each entity.
com.google.protobuf.ByteString	getFeatureTimeFieldBytes() Source column that holds the Feature timestamp for all Feature values in each entity.
com.google.protobuf.TimestampOrBuilder	getFeatureTimeOrBuilder() Single Feature timestamp for all entities being imported.
ImportFeatureValuesRequest.FeatureTimeSourceCase	getFeatureTimeSourceCase()
ImportFeatureValuesRequest.SourceCase	getSourceCase()
int	getWorkerCount() Specifies the number of workers that are used to write data to the Featurestore.
boolean	hasAvroSource() .google.cloud.aiplatform.v1.AvroSource avro_source = 2;
boolean	hasBigquerySource() .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;
boolean	hasCsvSource() .google.cloud.aiplatform.v1.CsvSource csv_source = 4;
boolean	hasFeatureTime() Single Feature timestamp for all entities being imported.
boolean	hasFeatureTimeField() Source column that holds the Feature timestamp for all Feature values in each entity.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasAvroSource

boolean hasAvroSource()

.google.cloud.aiplatform.v1.AvroSource avro_source = 2;

Returns:

Whether the avroSource field is set.

getAvroSource

AvroSource getAvroSource()

.google.cloud.aiplatform.v1.AvroSource avro_source = 2;

Returns:

The avroSource.

getAvroSourceOrBuilder

AvroSourceOrBuilder getAvroSourceOrBuilder()

.google.cloud.aiplatform.v1.AvroSource avro_source = 2;

hasBigquerySource

boolean hasBigquerySource()

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Returns:

Whether the bigquerySource field is set.

getBigquerySource

BigQuerySource getBigquerySource()

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Returns:

The bigquerySource.

getBigquerySourceOrBuilder

BigQuerySourceOrBuilder getBigquerySourceOrBuilder()

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

hasCsvSource

boolean hasCsvSource()

.google.cloud.aiplatform.v1.CsvSource csv_source = 4;

Returns:

Whether the csvSource field is set.

getCsvSource

CsvSource getCsvSource()

.google.cloud.aiplatform.v1.CsvSource csv_source = 4;

Returns:

The csvSource.

getCsvSourceOrBuilder

CsvSourceOrBuilder getCsvSourceOrBuilder()

.google.cloud.aiplatform.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.

getSourceCase

ImportFeatureValuesRequest.SourceCase getSourceCase()

getFeatureTimeSourceCase

ImportFeatureValuesRequest.FeatureTimeSourceCase getFeatureTimeSourceCase()