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public static final class StreamingReadFeatureValuesRequest.Builder extends GeneratedMessageV3.Builder<StreamingReadFeatureValuesRequest.Builder> implements StreamingReadFeatureValuesRequestOrBuilder
Request message for [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].
Protobuf type google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > StreamingReadFeatureValuesRequest.BuilderImplements
StreamingReadFeatureValuesRequestOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addAllEntityIds(Iterable<String> values)
public StreamingReadFeatureValuesRequest.Builder addAllEntityIds(Iterable<String> values)
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
values | Iterable<String> The entityIds to add. |
Type | Description |
StreamingReadFeatureValuesRequest.Builder | This builder for chaining. |
addEntityIds(String value)
public StreamingReadFeatureValuesRequest.Builder addEntityIds(String value)
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
value | String The entityIds to add. |
Type | Description |
StreamingReadFeatureValuesRequest.Builder | This builder for chaining. |
addEntityIdsBytes(ByteString value)
public StreamingReadFeatureValuesRequest.Builder addEntityIdsBytes(ByteString value)
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
value | ByteString The bytes of the entityIds to add. |
Type | Description |
StreamingReadFeatureValuesRequest.Builder | This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public StreamingReadFeatureValuesRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
build()
public StreamingReadFeatureValuesRequest build()
Type | Description |
StreamingReadFeatureValuesRequest |
buildPartial()
public StreamingReadFeatureValuesRequest buildPartial()
Type | Description |
StreamingReadFeatureValuesRequest |
clear()
public StreamingReadFeatureValuesRequest.Builder clear()
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
clearEntityIds()
public StreamingReadFeatureValuesRequest.Builder clearEntityIds()
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
StreamingReadFeatureValuesRequest.Builder | This builder for chaining. |
clearEntityType()
public StreamingReadFeatureValuesRequest.Builder clearEntityType()
Required. The resource name of the entities' type.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
.
For example,
for a machine learning model predicting user clicks on a website, an
EntityType ID could be user
.
string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Type | Description |
StreamingReadFeatureValuesRequest.Builder | This builder for chaining. |
clearFeatureSelector()
public StreamingReadFeatureValuesRequest.Builder clearFeatureSelector()
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
clearField(Descriptors.FieldDescriptor field)
public StreamingReadFeatureValuesRequest.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public StreamingReadFeatureValuesRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
clone()
public StreamingReadFeatureValuesRequest.Builder clone()
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
getDefaultInstanceForType()
public StreamingReadFeatureValuesRequest getDefaultInstanceForType()
Type | Description |
StreamingReadFeatureValuesRequest |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getEntityIds(int index)
public String getEntityIds(int index)
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
index | int The index of the element to return. |
Type | Description |
String | The entityIds at the given index. |
getEntityIdsBytes(int index)
public ByteString getEntityIdsBytes(int index)
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
index | int The index of the value to return. |
Type | Description |
ByteString | The bytes of the entityIds at the given index. |
getEntityIdsCount()
public int getEntityIdsCount()
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
int | The count of entityIds. |
getEntityIdsList()
public ProtocolStringList getEntityIdsList()
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
ProtocolStringList | A list containing the entityIds. |
getEntityType()
public String getEntityType()
Required. The resource name of the entities' type.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
.
For example,
for a machine learning model predicting user clicks on a website, an
EntityType ID could be user
.
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 entities' type.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
.
For example,
for a machine learning model predicting user clicks on a website, an
EntityType ID could be user
.
string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Type | Description |
ByteString | The bytes for entityType. |
getFeatureSelector()
public FeatureSelector getFeatureSelector()
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
FeatureSelector | The featureSelector. |
getFeatureSelectorBuilder()
public FeatureSelector.Builder getFeatureSelectorBuilder()
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
FeatureSelector.Builder |
getFeatureSelectorOrBuilder()
public FeatureSelectorOrBuilder getFeatureSelectorOrBuilder()
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
FeatureSelectorOrBuilder |
hasFeatureSelector()
public boolean hasFeatureSelector()
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
boolean | Whether the featureSelector field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFeatureSelector(FeatureSelector value)
public StreamingReadFeatureValuesRequest.Builder mergeFeatureSelector(FeatureSelector value)
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
value | FeatureSelector |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
mergeFrom(StreamingReadFeatureValuesRequest other)
public StreamingReadFeatureValuesRequest.Builder mergeFrom(StreamingReadFeatureValuesRequest other)
Name | Description |
other | StreamingReadFeatureValuesRequest |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public StreamingReadFeatureValuesRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public StreamingReadFeatureValuesRequest.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final StreamingReadFeatureValuesRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
setEntityIds(int index, String value)
public StreamingReadFeatureValuesRequest.Builder setEntityIds(int index, String value)
Required. IDs of entities to read Feature values of. The maximum number of IDs is
- For example, for a machine learning model predicting user clicks on a
website, an entity ID could be
user_123
.
repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
index | int The index to set the value at. |
value | String The entityIds to set. |
Type | Description |
StreamingReadFeatureValuesRequest.Builder | This builder for chaining. |
setEntityType(String value)
public StreamingReadFeatureValuesRequest.Builder setEntityType(String value)
Required. The resource name of the entities' type.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
.
For example,
for a machine learning model predicting user clicks on a website, an
EntityType ID could be user
.
string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Name | Description |
value | String The entityType to set. |
Type | Description |
StreamingReadFeatureValuesRequest.Builder | This builder for chaining. |
setEntityTypeBytes(ByteString value)
public StreamingReadFeatureValuesRequest.Builder setEntityTypeBytes(ByteString value)
Required. The resource name of the entities' type.
Value format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
.
For example,
for a machine learning model predicting user clicks on a website, an
EntityType ID could be user
.
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 |
StreamingReadFeatureValuesRequest.Builder | This builder for chaining. |
setFeatureSelector(FeatureSelector value)
public StreamingReadFeatureValuesRequest.Builder setFeatureSelector(FeatureSelector value)
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
value | FeatureSelector |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
setFeatureSelector(FeatureSelector.Builder builderForValue)
public StreamingReadFeatureValuesRequest.Builder setFeatureSelector(FeatureSelector.Builder builderForValue)
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
.google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
builderForValue | FeatureSelector.Builder |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public StreamingReadFeatureValuesRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public StreamingReadFeatureValuesRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final StreamingReadFeatureValuesRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
StreamingReadFeatureValuesRequest.Builder |