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public static final class ImportFeatureValuesRequest.Builder extends GeneratedMessageV3.Builder<ImportFeatureValuesRequest.Builder> implements ImportFeatureValuesRequestOrBuilder
Request message for FeaturestoreService.ImportFeatureValues.
Protobuf type google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ImportFeatureValuesRequest.BuilderImplements
ImportFeatureValuesRequestOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addAllFeatureSpecs(Iterable<? extends ImportFeatureValuesRequest.FeatureSpec> values)
public ImportFeatureValuesRequest.Builder addAllFeatureSpecs(Iterable<? extends ImportFeatureValuesRequest.FeatureSpec> values)
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];
Name | Description |
values | Iterable<? extends com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec> |
Type | Description |
ImportFeatureValuesRequest.Builder |
addFeatureSpecs(ImportFeatureValuesRequest.FeatureSpec value)
public ImportFeatureValuesRequest.Builder addFeatureSpecs(ImportFeatureValuesRequest.FeatureSpec value)
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];
Name | Description |
value | ImportFeatureValuesRequest.FeatureSpec |
Type | Description |
ImportFeatureValuesRequest.Builder |
addFeatureSpecs(ImportFeatureValuesRequest.FeatureSpec.Builder builderForValue)
public ImportFeatureValuesRequest.Builder addFeatureSpecs(ImportFeatureValuesRequest.FeatureSpec.Builder builderForValue)
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];
Name | Description |
builderForValue | ImportFeatureValuesRequest.FeatureSpec.Builder |
Type | Description |
ImportFeatureValuesRequest.Builder |
addFeatureSpecs(int index, ImportFeatureValuesRequest.FeatureSpec value)
public ImportFeatureValuesRequest.Builder addFeatureSpecs(int index, ImportFeatureValuesRequest.FeatureSpec value)
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];
Name | Description |
index | int |
value | ImportFeatureValuesRequest.FeatureSpec |
Type | Description |
ImportFeatureValuesRequest.Builder |
addFeatureSpecs(int index, ImportFeatureValuesRequest.FeatureSpec.Builder builderForValue)
public ImportFeatureValuesRequest.Builder addFeatureSpecs(int index, ImportFeatureValuesRequest.FeatureSpec.Builder builderForValue)
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];
Name | Description |
index | int |
builderForValue | ImportFeatureValuesRequest.FeatureSpec.Builder |
Type | Description |
ImportFeatureValuesRequest.Builder |
addFeatureSpecsBuilder()
public ImportFeatureValuesRequest.FeatureSpec.Builder addFeatureSpecsBuilder()
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];
Type | Description |
ImportFeatureValuesRequest.FeatureSpec.Builder |
addFeatureSpecsBuilder(int index)
public ImportFeatureValuesRequest.FeatureSpec.Builder addFeatureSpecsBuilder(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];
Name | Description |
index | int |
Type | Description |
ImportFeatureValuesRequest.FeatureSpec.Builder |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ImportFeatureValuesRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ImportFeatureValuesRequest.Builder |
build()
public ImportFeatureValuesRequest build()
Type | Description |
ImportFeatureValuesRequest |
buildPartial()
public ImportFeatureValuesRequest buildPartial()
Type | Description |
ImportFeatureValuesRequest |
clear()
public ImportFeatureValuesRequest.Builder clear()
Type | Description |
ImportFeatureValuesRequest.Builder |
clearAvroSource()
public ImportFeatureValuesRequest.Builder clearAvroSource()
.google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
Type | Description |
ImportFeatureValuesRequest.Builder |
clearBigquerySource()
public ImportFeatureValuesRequest.Builder clearBigquerySource()
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
Type | Description |
ImportFeatureValuesRequest.Builder |
clearCsvSource()
public ImportFeatureValuesRequest.Builder clearCsvSource()
.google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
Type | Description |
ImportFeatureValuesRequest.Builder |
clearDisableOnlineServing()
public ImportFeatureValuesRequest.Builder clearDisableOnlineServing()
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;
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
clearEntityIdField()
public ImportFeatureValuesRequest.Builder clearEntityIdField()
Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named entity_id
.
string entity_id_field = 5;
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
clearEntityType()
public ImportFeatureValuesRequest.Builder clearEntityType()
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) = { ... }
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
clearFeatureSpecs()
public ImportFeatureValuesRequest.Builder clearFeatureSpecs()
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];
Type | Description |
ImportFeatureValuesRequest.Builder |
clearFeatureTime()
public ImportFeatureValuesRequest.Builder clearFeatureTime()
Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
.google.protobuf.Timestamp feature_time = 7;
Type | Description |
ImportFeatureValuesRequest.Builder |
clearFeatureTimeField()
public ImportFeatureValuesRequest.Builder clearFeatureTimeField()
Source column that holds the Feature timestamp for all Feature values in each entity.
string feature_time_field = 6;
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
clearFeatureTimeSource()
public ImportFeatureValuesRequest.Builder clearFeatureTimeSource()
Type | Description |
ImportFeatureValuesRequest.Builder |
clearField(Descriptors.FieldDescriptor field)
public ImportFeatureValuesRequest.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
ImportFeatureValuesRequest.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ImportFeatureValuesRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
ImportFeatureValuesRequest.Builder |
clearSource()
public ImportFeatureValuesRequest.Builder clearSource()
Type | Description |
ImportFeatureValuesRequest.Builder |
clearWorkerCount()
public ImportFeatureValuesRequest.Builder clearWorkerCount()
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;
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
clone()
public ImportFeatureValuesRequest.Builder clone()
Type | Description |
ImportFeatureValuesRequest.Builder |
getAvroSource()
public AvroSource getAvroSource()
.google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
Type | Description |
AvroSource | The avroSource. |
getAvroSourceBuilder()
public AvroSource.Builder getAvroSourceBuilder()
.google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
Type | Description |
AvroSource.Builder |
getAvroSourceOrBuilder()
public AvroSourceOrBuilder getAvroSourceOrBuilder()
.google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
Type | Description |
AvroSourceOrBuilder |
getBigquerySource()
public BigQuerySource getBigquerySource()
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
Type | Description |
BigQuerySource | The bigquerySource. |
getBigquerySourceBuilder()
public BigQuerySource.Builder getBigquerySourceBuilder()
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
Type | Description |
BigQuerySource.Builder |
getBigquerySourceOrBuilder()
public BigQuerySourceOrBuilder getBigquerySourceOrBuilder()
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
Type | Description |
BigQuerySourceOrBuilder |
getCsvSource()
public CsvSource getCsvSource()
.google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
Type | Description |
CsvSource | The csvSource. |
getCsvSourceBuilder()
public CsvSource.Builder getCsvSourceBuilder()
.google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
Type | Description |
CsvSource.Builder |
getCsvSourceOrBuilder()
public CsvSourceOrBuilder getCsvSourceOrBuilder()
.google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
Type | Description |
CsvSourceOrBuilder |
getDefaultInstanceForType()
public ImportFeatureValuesRequest getDefaultInstanceForType()
Type | Description |
ImportFeatureValuesRequest |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getDisableOnlineServing()
public 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;
Type | Description |
boolean | The disableOnlineServing. |
getEntityIdField()
public 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;
Type | Description |
String | The entityIdField. |
getEntityIdFieldBytes()
public 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;
Type | Description |
ByteString | The bytes for entityIdField. |
getEntityType()
public 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) = { ... }
Type | Description |
String | The entityType. |
getEntityTypeBytes()
public 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) = { ... }
Type | Description |
ByteString | The bytes for entityType. |
getFeatureSpecs(int index)
public 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];
Name | Description |
index | int |
Type | Description |
ImportFeatureValuesRequest.FeatureSpec |
getFeatureSpecsBuilder(int index)
public ImportFeatureValuesRequest.FeatureSpec.Builder getFeatureSpecsBuilder(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];
Name | Description |
index | int |
Type | Description |
ImportFeatureValuesRequest.FeatureSpec.Builder |
getFeatureSpecsBuilderList()
public List<ImportFeatureValuesRequest.FeatureSpec.Builder> getFeatureSpecsBuilderList()
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];
Type | Description |
List<Builder> |
getFeatureSpecsCount()
public 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];
Type | Description |
int |
getFeatureSpecsList()
public 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];
Type | Description |
List<FeatureSpec> |
getFeatureSpecsOrBuilder(int index)
public 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];
Name | Description |
index | int |
Type | Description |
ImportFeatureValuesRequest.FeatureSpecOrBuilder |
getFeatureSpecsOrBuilderList()
public 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];
Type | Description |
List<? extends com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpecOrBuilder> |
getFeatureTime()
public 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;
Type | Description |
Timestamp | The featureTime. |
getFeatureTimeBuilder()
public Timestamp.Builder getFeatureTimeBuilder()
Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
.google.protobuf.Timestamp feature_time = 7;
Type | Description |
Builder |
getFeatureTimeField()
public String getFeatureTimeField()
Source column that holds the Feature timestamp for all Feature values in each entity.
string feature_time_field = 6;
Type | Description |
String | The featureTimeField. |
getFeatureTimeFieldBytes()
public ByteString getFeatureTimeFieldBytes()
Source column that holds the Feature timestamp for all Feature values in each entity.
string feature_time_field = 6;
Type | Description |
ByteString | The bytes for featureTimeField. |
getFeatureTimeOrBuilder()
public 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;
Type | Description |
TimestampOrBuilder |
getFeatureTimeSourceCase()
public ImportFeatureValuesRequest.FeatureTimeSourceCase getFeatureTimeSourceCase()
Type | Description |
ImportFeatureValuesRequest.FeatureTimeSourceCase |
getSourceCase()
public ImportFeatureValuesRequest.SourceCase getSourceCase()
Type | Description |
ImportFeatureValuesRequest.SourceCase |
getWorkerCount()
public 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;
Type | Description |
int | The workerCount. |
hasAvroSource()
public boolean hasAvroSource()
.google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
Type | Description |
boolean | Whether the avroSource field is set. |
hasBigquerySource()
public boolean hasBigquerySource()
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
Type | Description |
boolean | Whether the bigquerySource field is set. |
hasCsvSource()
public boolean hasCsvSource()
.google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
Type | Description |
boolean | Whether the csvSource field is set. |
hasFeatureTime()
public 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;
Type | Description |
boolean | Whether the featureTime field is set. |
hasFeatureTimeField()
public boolean hasFeatureTimeField()
Source column that holds the Feature timestamp for all Feature values in each entity.
string feature_time_field = 6;
Type | Description |
boolean | Whether the featureTimeField field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeAvroSource(AvroSource value)
public ImportFeatureValuesRequest.Builder mergeAvroSource(AvroSource value)
.google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
Name | Description |
value | AvroSource |
Type | Description |
ImportFeatureValuesRequest.Builder |
mergeBigquerySource(BigQuerySource value)
public ImportFeatureValuesRequest.Builder mergeBigquerySource(BigQuerySource value)
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
Name | Description |
value | BigQuerySource |
Type | Description |
ImportFeatureValuesRequest.Builder |
mergeCsvSource(CsvSource value)
public ImportFeatureValuesRequest.Builder mergeCsvSource(CsvSource value)
.google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
Name | Description |
value | CsvSource |
Type | Description |
ImportFeatureValuesRequest.Builder |
mergeFeatureTime(Timestamp value)
public ImportFeatureValuesRequest.Builder mergeFeatureTime(Timestamp value)
Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
.google.protobuf.Timestamp feature_time = 7;
Name | Description |
value | Timestamp |
Type | Description |
ImportFeatureValuesRequest.Builder |
mergeFrom(ImportFeatureValuesRequest other)
public ImportFeatureValuesRequest.Builder mergeFrom(ImportFeatureValuesRequest other)
Name | Description |
other | ImportFeatureValuesRequest |
Type | Description |
ImportFeatureValuesRequest.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ImportFeatureValuesRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ImportFeatureValuesRequest.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public ImportFeatureValuesRequest.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
ImportFeatureValuesRequest.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ImportFeatureValuesRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ImportFeatureValuesRequest.Builder |
removeFeatureSpecs(int index)
public ImportFeatureValuesRequest.Builder removeFeatureSpecs(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];
Name | Description |
index | int |
Type | Description |
ImportFeatureValuesRequest.Builder |
setAvroSource(AvroSource value)
public ImportFeatureValuesRequest.Builder setAvroSource(AvroSource value)
.google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
Name | Description |
value | AvroSource |
Type | Description |
ImportFeatureValuesRequest.Builder |
setAvroSource(AvroSource.Builder builderForValue)
public ImportFeatureValuesRequest.Builder setAvroSource(AvroSource.Builder builderForValue)
.google.cloud.aiplatform.v1beta1.AvroSource avro_source = 2;
Name | Description |
builderForValue | AvroSource.Builder |
Type | Description |
ImportFeatureValuesRequest.Builder |
setBigquerySource(BigQuerySource value)
public ImportFeatureValuesRequest.Builder setBigquerySource(BigQuerySource value)
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
Name | Description |
value | BigQuerySource |
Type | Description |
ImportFeatureValuesRequest.Builder |
setBigquerySource(BigQuerySource.Builder builderForValue)
public ImportFeatureValuesRequest.Builder setBigquerySource(BigQuerySource.Builder builderForValue)
.google.cloud.aiplatform.v1beta1.BigQuerySource bigquery_source = 3;
Name | Description |
builderForValue | BigQuerySource.Builder |
Type | Description |
ImportFeatureValuesRequest.Builder |
setCsvSource(CsvSource value)
public ImportFeatureValuesRequest.Builder setCsvSource(CsvSource value)
.google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
Name | Description |
value | CsvSource |
Type | Description |
ImportFeatureValuesRequest.Builder |
setCsvSource(CsvSource.Builder builderForValue)
public ImportFeatureValuesRequest.Builder setCsvSource(CsvSource.Builder builderForValue)
.google.cloud.aiplatform.v1beta1.CsvSource csv_source = 4;
Name | Description |
builderForValue | CsvSource.Builder |
Type | Description |
ImportFeatureValuesRequest.Builder |
setDisableOnlineServing(boolean value)
public ImportFeatureValuesRequest.Builder setDisableOnlineServing(boolean value)
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;
Name | Description |
value | boolean The disableOnlineServing to set. |
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
setEntityIdField(String value)
public ImportFeatureValuesRequest.Builder setEntityIdField(String value)
Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named entity_id
.
string entity_id_field = 5;
Name | Description |
value | String The entityIdField to set. |
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
setEntityIdFieldBytes(ByteString value)
public ImportFeatureValuesRequest.Builder setEntityIdFieldBytes(ByteString value)
Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named entity_id
.
string entity_id_field = 5;
Name | Description |
value | ByteString The bytes for entityIdField to set. |
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
setEntityType(String value)
public ImportFeatureValuesRequest.Builder setEntityType(String value)
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) = { ... }
Name | Description |
value | String The entityType to set. |
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
setEntityTypeBytes(ByteString value)
public ImportFeatureValuesRequest.Builder setEntityTypeBytes(ByteString value)
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) = { ... }
Name | Description |
value | ByteString The bytes for entityType to set. |
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
setFeatureSpecs(int index, ImportFeatureValuesRequest.FeatureSpec value)
public ImportFeatureValuesRequest.Builder setFeatureSpecs(int index, ImportFeatureValuesRequest.FeatureSpec value)
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];
Name | Description |
index | int |
value | ImportFeatureValuesRequest.FeatureSpec |
Type | Description |
ImportFeatureValuesRequest.Builder |
setFeatureSpecs(int index, ImportFeatureValuesRequest.FeatureSpec.Builder builderForValue)
public ImportFeatureValuesRequest.Builder setFeatureSpecs(int index, ImportFeatureValuesRequest.FeatureSpec.Builder builderForValue)
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];
Name | Description |
index | int |
builderForValue | ImportFeatureValuesRequest.FeatureSpec.Builder |
Type | Description |
ImportFeatureValuesRequest.Builder |
setFeatureTime(Timestamp value)
public ImportFeatureValuesRequest.Builder setFeatureTime(Timestamp value)
Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
.google.protobuf.Timestamp feature_time = 7;
Name | Description |
value | Timestamp |
Type | Description |
ImportFeatureValuesRequest.Builder |
setFeatureTime(Timestamp.Builder builderForValue)
public ImportFeatureValuesRequest.Builder setFeatureTime(Timestamp.Builder builderForValue)
Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
.google.protobuf.Timestamp feature_time = 7;
Name | Description |
builderForValue | Builder |
Type | Description |
ImportFeatureValuesRequest.Builder |
setFeatureTimeField(String value)
public ImportFeatureValuesRequest.Builder setFeatureTimeField(String value)
Source column that holds the Feature timestamp for all Feature values in each entity.
string feature_time_field = 6;
Name | Description |
value | String The featureTimeField to set. |
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
setFeatureTimeFieldBytes(ByteString value)
public ImportFeatureValuesRequest.Builder setFeatureTimeFieldBytes(ByteString value)
Source column that holds the Feature timestamp for all Feature values in each entity.
string feature_time_field = 6;
Name | Description |
value | ByteString The bytes for featureTimeField to set. |
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ImportFeatureValuesRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ImportFeatureValuesRequest.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ImportFeatureValuesRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
ImportFeatureValuesRequest.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ImportFeatureValuesRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ImportFeatureValuesRequest.Builder |
setWorkerCount(int value)
public ImportFeatureValuesRequest.Builder setWorkerCount(int value)
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;
Name | Description |
value | int The workerCount to set. |
Type | Description |
ImportFeatureValuesRequest.Builder | This builder for chaining. |