Class FeatureView (3.55.0)

public final class FeatureView extends GeneratedMessageV3 implements FeatureViewOrBuilder

FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.

Protobuf type google.cloud.aiplatform.v1beta1.FeatureView

Static Fields

BIG_QUERY_SOURCE_FIELD_NUMBER

public static final int BIG_QUERY_SOURCE_FIELD_NUMBER
Field Value
Type Description
int

CREATE_TIME_FIELD_NUMBER

public static final int CREATE_TIME_FIELD_NUMBER
Field Value
Type Description
int

ETAG_FIELD_NUMBER

public static final int ETAG_FIELD_NUMBER
Field Value
Type Description
int

FEATURE_REGISTRY_SOURCE_FIELD_NUMBER

public static final int FEATURE_REGISTRY_SOURCE_FIELD_NUMBER
Field Value
Type Description
int

INDEX_CONFIG_FIELD_NUMBER

public static final int INDEX_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

LABELS_FIELD_NUMBER

public static final int LABELS_FIELD_NUMBER
Field Value
Type Description
int

NAME_FIELD_NUMBER

public static final int NAME_FIELD_NUMBER
Field Value
Type Description
int

OPTIMIZED_CONFIG_FIELD_NUMBER

public static final int OPTIMIZED_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

SATISFIES_PZI_FIELD_NUMBER

public static final int SATISFIES_PZI_FIELD_NUMBER
Field Value
Type Description
int

SATISFIES_PZS_FIELD_NUMBER

public static final int SATISFIES_PZS_FIELD_NUMBER
Field Value
Type Description
int

SERVICE_ACCOUNT_EMAIL_FIELD_NUMBER

public static final int SERVICE_ACCOUNT_EMAIL_FIELD_NUMBER
Field Value
Type Description
int

SERVICE_AGENT_TYPE_FIELD_NUMBER

public static final int SERVICE_AGENT_TYPE_FIELD_NUMBER
Field Value
Type Description
int

SYNC_CONFIG_FIELD_NUMBER

public static final int SYNC_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

UPDATE_TIME_FIELD_NUMBER

public static final int UPDATE_TIME_FIELD_NUMBER
Field Value
Type Description
int

VECTOR_SEARCH_CONFIG_FIELD_NUMBER

public static final int VECTOR_SEARCH_CONFIG_FIELD_NUMBER
Field Value
Type Description
int

VERTEX_RAG_SOURCE_FIELD_NUMBER

public static final int VERTEX_RAG_SOURCE_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static FeatureView getDefaultInstance()
Returns
Type Description
FeatureView

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static FeatureView.Builder newBuilder()
Returns
Type Description
FeatureView.Builder

newBuilder(FeatureView prototype)

public static FeatureView.Builder newBuilder(FeatureView prototype)
Parameter
Name Description
prototype FeatureView
Returns
Type Description
FeatureView.Builder

parseDelimitedFrom(InputStream input)

public static FeatureView parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
FeatureView
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static FeatureView parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeatureView
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static FeatureView parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
FeatureView
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static FeatureView parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeatureView
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static FeatureView parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
FeatureView
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static FeatureView parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeatureView
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static FeatureView parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
FeatureView
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static FeatureView parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeatureView
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static FeatureView parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
FeatureView
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static FeatureView parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeatureView
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static FeatureView parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
FeatureView
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static FeatureView parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
FeatureView
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<FeatureView> parser()
Returns
Type Description
Parser<FeatureView>

Methods

containsLabels(String key)

public boolean containsLabels(String key)

Optional. The labels with user-defined metadata to organize your FeatureViews.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
key String
Returns
Type Description
boolean

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getBigQuerySource()

public FeatureView.BigQuerySource getBigQuerySource()

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource big_query_source = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.BigQuerySource

The bigQuerySource.

getBigQuerySourceOrBuilder()

public FeatureView.BigQuerySourceOrBuilder getBigQuerySourceOrBuilder()

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource big_query_source = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.BigQuerySourceOrBuilder

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this FeatureView was created.

.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The createTime.

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this FeatureView was created.

.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

getDefaultInstanceForType()

public FeatureView getDefaultInstanceForType()
Returns
Type Description
FeatureView

getEtag()

public String getEtag()

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The etag.

getEtagBytes()

public ByteString getEtagBytes()

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for etag.

getFeatureRegistrySource()

public FeatureView.FeatureRegistrySource getFeatureRegistrySource()

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource feature_registry_source = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.FeatureRegistrySource

The featureRegistrySource.

getFeatureRegistrySourceOrBuilder()

public FeatureView.FeatureRegistrySourceOrBuilder getFeatureRegistrySourceOrBuilder()

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource feature_registry_source = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.FeatureRegistrySourceOrBuilder

getIndexConfig()

public FeatureView.IndexConfig getIndexConfig()

Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.

.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig index_config = 15 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.IndexConfig

The indexConfig.

getIndexConfigOrBuilder()

public FeatureView.IndexConfigOrBuilder getIndexConfigOrBuilder()

Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.

.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig index_config = 15 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.IndexConfigOrBuilder

getLabels() (deprecated)

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type Description
Map<String,String>

getLabelsCount()

public int getLabelsCount()

Optional. The labels with user-defined metadata to organize your FeatureViews.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

getLabelsMap()

public Map<String,String> getLabelsMap()

Optional. The labels with user-defined metadata to organize your FeatureViews.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

Optional. The labels with user-defined metadata to organize your FeatureViews.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

Optional. The labels with user-defined metadata to organize your FeatureViews.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
key String
Returns
Type Description
String

getName()

public String getName()

Identifier. Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

string name = 1 [(.google.api.field_behavior) = IDENTIFIER];

Returns
Type Description
String

The name.

getNameBytes()

public ByteString getNameBytes()

Identifier. Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

string name = 1 [(.google.api.field_behavior) = IDENTIFIER];

Returns
Type Description
ByteString

The bytes for name.

getOptimizedConfig()

public FeatureView.OptimizedConfig getOptimizedConfig()

Optional. Configuration for FeatureView created under Optimized FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.OptimizedConfig optimized_config = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.OptimizedConfig

The optimizedConfig.

getOptimizedConfigOrBuilder()

public FeatureView.OptimizedConfigOrBuilder getOptimizedConfigOrBuilder()

Optional. Configuration for FeatureView created under Optimized FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.OptimizedConfig optimized_config = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.OptimizedConfigOrBuilder

getParserForType()

public Parser<FeatureView> getParserForType()
Returns
Type Description
Parser<FeatureView>
Overrides

getSatisfiesPzi()

public boolean getSatisfiesPzi()

Output only. Reserved for future use.

bool satisfies_pzi = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

The satisfiesPzi.

getSatisfiesPzs()

public boolean getSatisfiesPzs()

Output only. Reserved for future use.

bool satisfies_pzs = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

The satisfiesPzs.

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

getServiceAccountEmail()

public String getServiceAccountEmail()

Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.

string service_account_email = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
String

The serviceAccountEmail.

getServiceAccountEmailBytes()

public ByteString getServiceAccountEmailBytes()

Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.

string service_account_email = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
ByteString

The bytes for serviceAccountEmail.

getServiceAgentType()

public FeatureView.ServiceAgentType getServiceAgentType()

Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to SERVICE_AGENT_TYPE_FEATURE_VIEW. This will generate a separate service account to access the BigQuery source table.

.google.cloud.aiplatform.v1beta1.FeatureView.ServiceAgentType service_agent_type = 14 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.ServiceAgentType

The serviceAgentType.

getServiceAgentTypeValue()

public int getServiceAgentTypeValue()

Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to SERVICE_AGENT_TYPE_FEATURE_VIEW. This will generate a separate service account to access the BigQuery source table.

.google.cloud.aiplatform.v1beta1.FeatureView.ServiceAgentType service_agent_type = 14 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The enum numeric value on the wire for serviceAgentType.

getSourceCase()

public FeatureView.SourceCase getSourceCase()
Returns
Type Description
FeatureView.SourceCase

getSyncConfig()

public FeatureView.SyncConfig getSyncConfig()

Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.

.google.cloud.aiplatform.v1beta1.FeatureView.SyncConfig sync_config = 7;

Returns
Type Description
FeatureView.SyncConfig

The syncConfig.

getSyncConfigOrBuilder()

public FeatureView.SyncConfigOrBuilder getSyncConfigOrBuilder()

Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.

.google.cloud.aiplatform.v1beta1.FeatureView.SyncConfig sync_config = 7;

Returns
Type Description
FeatureView.SyncConfigOrBuilder

getUpdateTime()

public Timestamp getUpdateTime()

Output only. Timestamp when this FeatureView was last updated.

.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The updateTime.

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Timestamp when this FeatureView was last updated.

.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

getVectorSearchConfig() (deprecated)

public FeatureView.VectorSearchConfig getVectorSearchConfig()

Deprecated. google.cloud.aiplatform.v1beta1.FeatureView.vector_search_config is deprecated. See google/cloud/aiplatform/v1beta1/feature_view.proto;l=339

Optional. Deprecated: please use FeatureView.index_config instead.

.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig vector_search_config = 8 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.VectorSearchConfig

The vectorSearchConfig.

getVectorSearchConfigOrBuilder() (deprecated)

public FeatureView.VectorSearchConfigOrBuilder getVectorSearchConfigOrBuilder()

Optional. Deprecated: please use FeatureView.index_config instead.

.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig vector_search_config = 8 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.VectorSearchConfigOrBuilder

getVertexRagSource()

public FeatureView.VertexRagSource getVertexRagSource()

Optional. The Vertex RAG Source that the FeatureView is linked to.

.google.cloud.aiplatform.v1beta1.FeatureView.VertexRagSource vertex_rag_source = 18 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.VertexRagSource

The vertexRagSource.

getVertexRagSourceOrBuilder()

public FeatureView.VertexRagSourceOrBuilder getVertexRagSourceOrBuilder()

Optional. The Vertex RAG Source that the FeatureView is linked to.

.google.cloud.aiplatform.v1beta1.FeatureView.VertexRagSource vertex_rag_source = 18 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
FeatureView.VertexRagSourceOrBuilder

hasBigQuerySource()

public boolean hasBigQuerySource()

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource big_query_source = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the bigQuerySource field is set.

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this FeatureView was created.

.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the createTime field is set.

hasFeatureRegistrySource()

public boolean hasFeatureRegistrySource()

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource feature_registry_source = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the featureRegistrySource field is set.

hasIndexConfig()

public boolean hasIndexConfig()

Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.

.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig index_config = 15 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the indexConfig field is set.

hasOptimizedConfig()

public boolean hasOptimizedConfig()

Optional. Configuration for FeatureView created under Optimized FeatureOnlineStore.

.google.cloud.aiplatform.v1beta1.FeatureView.OptimizedConfig optimized_config = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the optimizedConfig field is set.

hasSyncConfig()

public boolean hasSyncConfig()

Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.

.google.cloud.aiplatform.v1beta1.FeatureView.SyncConfig sync_config = 7;

Returns
Type Description
boolean

Whether the syncConfig field is set.

hasUpdateTime()

public boolean hasUpdateTime()

Output only. Timestamp when this FeatureView was last updated.

.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the updateTime field is set.

hasVectorSearchConfig() (deprecated)

public boolean hasVectorSearchConfig()

Deprecated. google.cloud.aiplatform.v1beta1.FeatureView.vector_search_config is deprecated. See google/cloud/aiplatform/v1beta1/feature_view.proto;l=339

Optional. Deprecated: please use FeatureView.index_config instead.

.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig vector_search_config = 8 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the vectorSearchConfig field is set.

hasVertexRagSource()

public boolean hasVertexRagSource()

Optional. The Vertex RAG Source that the FeatureView is linked to.

.google.cloud.aiplatform.v1beta1.FeatureView.VertexRagSource vertex_rag_source = 18 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the vertexRagSource field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public FeatureView.Builder newBuilderForType()
Returns
Type Description
FeatureView.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected FeatureView.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
FeatureView.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public FeatureView.Builder toBuilder()
Returns
Type Description
FeatureView.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException