Interface FeatureViewOrBuilder (3.46.0) 

public interface FeatureViewOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsLabels(String key)

public abstract 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

getBigQuerySource()

public abstract 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 abstract 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 abstract 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 abstract 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

getEtag()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type Description
Map<String,String>

getLabelsCount()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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.

getServiceAccountEmail()

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

getSyncConfig()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract FeatureView.VectorSearchConfig getVectorSearchConfig()

Deprecated. google.cloud.aiplatform.v1beta1.FeatureView.vector_search_config is deprecated. See google/cloud/aiplatform/v1beta1/feature_view.proto;l=304

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 abstract 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

hasBigQuerySource()

public abstract 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 abstract 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 abstract 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 abstract 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.

hasSyncConfig()

public abstract 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 abstract 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 abstract boolean hasVectorSearchConfig()

Deprecated. google.cloud.aiplatform.v1beta1.FeatureView.vector_search_config is deprecated. See google/cloud/aiplatform/v1beta1/feature_view.proto;l=304

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.