Struct google_api_proto::google::cloud::aiplatform::v1beta1::FeatureView

pub struct FeatureView {
    pub name: String,
    pub create_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub etag: String,
    pub labels: BTreeMap<String, String>,
    pub sync_config: Option<SyncConfig>,
    pub vector_search_config: Option<VectorSearchConfig>,
    pub index_config: Option<IndexConfig>,
    pub service_agent_type: i32,
    pub service_account_email: String,
    pub source: Option<Source>,
}

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

Fields

name: String

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

create_time: Option<Timestamp>

Output only. Timestamp when this FeatureView was created.

update_time: Option<Timestamp>

Output only. Timestamp when this FeatureView was last updated.

etag: String

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

labels: BTreeMap<String, String>

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.

sync_config: Option<SyncConfig>

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.

vector_search_config: Option<VectorSearchConfig>

👎Deprecated

Optional. Deprecated: please use [FeatureView.index_config][google.cloud.aiplatform.v1beta1.FeatureView.index_config] instead.

index_config: Option<IndexConfig>

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.

service_agent_type: i32

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.

service_account_email: String

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.

source: Option<Source>

Implementations

impl FeatureView

pub fn service_agent_type(&self) -> ServiceAgentType

Returns the enum value of service_agent_type, or the default if the field is set to an invalid enum value.

pub fn set_service_agent_type(&mut self, value: ServiceAgentType)

Sets service_agent_type to the provided enum value.

Trait Implementations

impl Clone for FeatureView

fn clone(&self) -> FeatureView

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FeatureView

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for FeatureView

fn default() -> Self

Returns the “default value” for a type.

impl Message for FeatureView

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError>

where B: BufMut, Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError>

where B: BufMut, Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError>

where B: Buf, Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError>

where B: Buf, Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for FeatureView

fn eq(&self, other: &FeatureView) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for FeatureView