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public static final class FeatureView.Builder extends GeneratedMessageV3.Builder<FeatureView.Builder> implements FeatureViewOrBuilder
FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.
Protobuf type google.cloud.aiplatform.v1beta1.FeatureView
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > FeatureView.BuilderImplements
FeatureViewOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public FeatureView.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
build()
public FeatureView build()
Returns | |
---|---|
Type | Description |
FeatureView |
buildPartial()
public FeatureView buildPartial()
Returns | |
---|---|
Type | Description |
FeatureView |
clear()
public FeatureView.Builder clear()
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
clearBigQuerySource()
public FeatureView.Builder clearBigQuerySource()
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.Builder |
clearCreateTime()
public FeatureView.Builder clearCreateTime()
Output only. Timestamp when this FeatureView was created.
.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
clearEtag()
public FeatureView.Builder clearEtag()
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 |
FeatureView.Builder |
This builder for chaining. |
clearFeatureRegistrySource()
public FeatureView.Builder clearFeatureRegistrySource()
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.Builder |
clearField(Descriptors.FieldDescriptor field)
public FeatureView.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
clearIndexConfig()
public FeatureView.Builder clearIndexConfig()
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.Builder |
clearLabels()
public FeatureView.Builder clearLabels()
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
clearName()
public FeatureView.Builder clearName()
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 |
FeatureView.Builder |
This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public FeatureView.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
clearServiceAccountEmail()
public FeatureView.Builder clearServiceAccountEmail()
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 |
FeatureView.Builder |
This builder for chaining. |
clearServiceAgentType()
public FeatureView.Builder clearServiceAgentType()
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.Builder |
This builder for chaining. |
clearSource()
public FeatureView.Builder clearSource()
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
clearSyncConfig()
public FeatureView.Builder clearSyncConfig()
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.Builder |
clearUpdateTime()
public FeatureView.Builder clearUpdateTime()
Output only. Timestamp when this FeatureView was last updated.
.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
clearVectorSearchConfig() (deprecated)
public FeatureView.Builder clearVectorSearchConfig()
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.Builder |
clone()
public FeatureView.Builder clone()
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
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 |
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. |
getBigQuerySourceBuilder()
public FeatureView.BigQuerySource.Builder getBigQuerySourceBuilder()
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.Builder |
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. |
getCreateTimeBuilder()
public Timestamp.Builder getCreateTimeBuilder()
Output only. Timestamp when this FeatureView was created.
.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Builder |
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 |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
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. |
getFeatureRegistrySourceBuilder()
public FeatureView.FeatureRegistrySource.Builder getFeatureRegistrySourceBuilder()
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.Builder |
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. |
getIndexConfigBuilder()
public FeatureView.IndexConfig.Builder getIndexConfigBuilder()
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.Builder |
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 |
getMutableLabels() (deprecated)
public Map<String,String> getMutableLabels()
Use alternate mutation accessors instead.
Returns | |
---|---|
Type | Description |
Map<String,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. |
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. |
getSyncConfigBuilder()
public FeatureView.SyncConfig.Builder getSyncConfigBuilder()
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.Builder |
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. |
getUpdateTimeBuilder()
public Timestamp.Builder getUpdateTimeBuilder()
Output only. Timestamp when this FeatureView was last updated.
.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Builder |
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=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. |
getVectorSearchConfigBuilder() (deprecated)
public FeatureView.VectorSearchConfig.Builder getVectorSearchConfigBuilder()
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.Builder |
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 |
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. |
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=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. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
internalGetMapFieldReflection(int number)
protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter | |
---|---|
Name | Description |
number |
int |
Returns | |
---|---|
Type | Description |
com.google.protobuf.MapFieldReflectionAccessor |
internalGetMutableMapFieldReflection(int number)
protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter | |
---|---|
Name | Description |
number |
int |
Returns | |
---|---|
Type | Description |
com.google.protobuf.MapFieldReflectionAccessor |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeBigQuerySource(FeatureView.BigQuerySource value)
public FeatureView.Builder mergeBigQuerySource(FeatureView.BigQuerySource value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.BigQuerySource |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeCreateTime(Timestamp value)
public FeatureView.Builder mergeCreateTime(Timestamp value)
Output only. Timestamp when this FeatureView was created.
.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
Timestamp |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeFeatureRegistrySource(FeatureView.FeatureRegistrySource value)
public FeatureView.Builder mergeFeatureRegistrySource(FeatureView.FeatureRegistrySource value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.FeatureRegistrySource |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeFrom(FeatureView other)
public FeatureView.Builder mergeFrom(FeatureView other)
Parameter | |
---|---|
Name | Description |
other |
FeatureView |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public FeatureView.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public FeatureView.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeIndexConfig(FeatureView.IndexConfig value)
public FeatureView.Builder mergeIndexConfig(FeatureView.IndexConfig value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.IndexConfig |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeSyncConfig(FeatureView.SyncConfig value)
public FeatureView.Builder mergeSyncConfig(FeatureView.SyncConfig value)
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;
Parameter | |
---|---|
Name | Description |
value |
FeatureView.SyncConfig |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final FeatureView.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeUpdateTime(Timestamp value)
public FeatureView.Builder mergeUpdateTime(Timestamp value)
Output only. Timestamp when this FeatureView was last updated.
.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
Timestamp |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
mergeVectorSearchConfig(FeatureView.VectorSearchConfig value) (deprecated)
public FeatureView.Builder mergeVectorSearchConfig(FeatureView.VectorSearchConfig value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.VectorSearchConfig |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
putAllLabels(Map<String,String> values)
public FeatureView.Builder putAllLabels(Map<String,String> values)
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 |
values |
Map<String,String> |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
putLabels(String key, String value)
public FeatureView.Builder putLabels(String key, String value)
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 |
value |
String |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
removeLabels(String key)
public FeatureView.Builder removeLabels(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 |
FeatureView.Builder |
setBigQuerySource(FeatureView.BigQuerySource value)
public FeatureView.Builder setBigQuerySource(FeatureView.BigQuerySource value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.BigQuerySource |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setBigQuerySource(FeatureView.BigQuerySource.Builder builderForValue)
public FeatureView.Builder setBigQuerySource(FeatureView.BigQuerySource.Builder builderForValue)
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];
Parameter | |
---|---|
Name | Description |
builderForValue |
FeatureView.BigQuerySource.Builder |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setCreateTime(Timestamp value)
public FeatureView.Builder setCreateTime(Timestamp value)
Output only. Timestamp when this FeatureView was created.
.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
Timestamp |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setCreateTime(Timestamp.Builder builderForValue)
public FeatureView.Builder setCreateTime(Timestamp.Builder builderForValue)
Output only. Timestamp when this FeatureView was created.
.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue |
Builder |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setEtag(String value)
public FeatureView.Builder setEtag(String value)
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];
Parameter | |
---|---|
Name | Description |
value |
String The etag to set. |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
This builder for chaining. |
setEtagBytes(ByteString value)
public FeatureView.Builder setEtagBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for etag to set. |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
This builder for chaining. |
setFeatureRegistrySource(FeatureView.FeatureRegistrySource value)
public FeatureView.Builder setFeatureRegistrySource(FeatureView.FeatureRegistrySource value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.FeatureRegistrySource |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setFeatureRegistrySource(FeatureView.FeatureRegistrySource.Builder builderForValue)
public FeatureView.Builder setFeatureRegistrySource(FeatureView.FeatureRegistrySource.Builder builderForValue)
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];
Parameter | |
---|---|
Name | Description |
builderForValue |
FeatureView.FeatureRegistrySource.Builder |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public FeatureView.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setIndexConfig(FeatureView.IndexConfig value)
public FeatureView.Builder setIndexConfig(FeatureView.IndexConfig value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.IndexConfig |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setIndexConfig(FeatureView.IndexConfig.Builder builderForValue)
public FeatureView.Builder setIndexConfig(FeatureView.IndexConfig.Builder builderForValue)
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];
Parameter | |
---|---|
Name | Description |
builderForValue |
FeatureView.IndexConfig.Builder |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setName(String value)
public FeatureView.Builder setName(String value)
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];
Parameter | |
---|---|
Name | Description |
value |
String The name to set. |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
This builder for chaining. |
setNameBytes(ByteString value)
public FeatureView.Builder setNameBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for name to set. |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public FeatureView.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setServiceAccountEmail(String value)
public FeatureView.Builder setServiceAccountEmail(String value)
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];
Parameter | |
---|---|
Name | Description |
value |
String The serviceAccountEmail to set. |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
This builder for chaining. |
setServiceAccountEmailBytes(ByteString value)
public FeatureView.Builder setServiceAccountEmailBytes(ByteString value)
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];
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for serviceAccountEmail to set. |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
This builder for chaining. |
setServiceAgentType(FeatureView.ServiceAgentType value)
public FeatureView.Builder setServiceAgentType(FeatureView.ServiceAgentType value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.ServiceAgentType The serviceAgentType to set. |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
This builder for chaining. |
setServiceAgentTypeValue(int value)
public FeatureView.Builder setServiceAgentTypeValue(int value)
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];
Parameter | |
---|---|
Name | Description |
value |
int The enum numeric value on the wire for serviceAgentType to set. |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
This builder for chaining. |
setSyncConfig(FeatureView.SyncConfig value)
public FeatureView.Builder setSyncConfig(FeatureView.SyncConfig value)
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;
Parameter | |
---|---|
Name | Description |
value |
FeatureView.SyncConfig |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setSyncConfig(FeatureView.SyncConfig.Builder builderForValue)
public FeatureView.Builder setSyncConfig(FeatureView.SyncConfig.Builder builderForValue)
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;
Parameter | |
---|---|
Name | Description |
builderForValue |
FeatureView.SyncConfig.Builder |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final FeatureView.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setUpdateTime(Timestamp value)
public FeatureView.Builder setUpdateTime(Timestamp value)
Output only. Timestamp when this FeatureView was last updated.
.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
Timestamp |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setUpdateTime(Timestamp.Builder builderForValue)
public FeatureView.Builder setUpdateTime(Timestamp.Builder builderForValue)
Output only. Timestamp when this FeatureView was last updated.
.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue |
Builder |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setVectorSearchConfig(FeatureView.VectorSearchConfig value) (deprecated)
public FeatureView.Builder setVectorSearchConfig(FeatureView.VectorSearchConfig value)
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];
Parameter | |
---|---|
Name | Description |
value |
FeatureView.VectorSearchConfig |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |
setVectorSearchConfig(FeatureView.VectorSearchConfig.Builder builderForValue) (deprecated)
public FeatureView.Builder setVectorSearchConfig(FeatureView.VectorSearchConfig.Builder builderForValue)
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];
Parameter | |
---|---|
Name | Description |
builderForValue |
FeatureView.VectorSearchConfig.Builder |
Returns | |
---|---|
Type | Description |
FeatureView.Builder |