Struct StreamingReadFeatureValuesRequest 

#[non_exhaustive]
pub struct StreamingReadFeatureValuesRequest {
    pub entity_type: String,
    pub entity_ids: Vec<String>,
    pub feature_selector: Option<FeatureSelector>,
    /* private fields */
}

Available on crate feature featurestore-online-serving-service only.

Request message for [FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues].

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

entity_type: String

Required. The resource name of the entities’ type. Value format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}. For example, for a machine learning model predicting user clicks on a website, an EntityType ID could be user.

entity_ids: Vec<String>

Required. IDs of entities to read Feature values of. The maximum number of IDs is 100. For example, for a machine learning model predicting user clicks on a website, an entity ID could be user_123.

feature_selector: Option<FeatureSelector>

Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.

Implementations

impl StreamingReadFeatureValuesRequest

pub fn new() -> Self

pub fn set_entity_type<T: Into<String>>(self, v: T) -> Self

Sets the value of entity_type.

Example

let x = StreamingReadFeatureValuesRequest::new().set_entity_type("example");

pub fn set_entity_ids<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<String>,

Sets the value of entity_ids.

Example

let x = StreamingReadFeatureValuesRequest::new().set_entity_ids(["a", "b", "c"]);

pub fn set_feature_selector<T>(self, v: T) -> Self

where T: Into<FeatureSelector>,

Sets the value of feature_selector.

Example

use google_cloud_aiplatform_v1::model::FeatureSelector;
let x = StreamingReadFeatureValuesRequest::new().set_feature_selector(FeatureSelector::default()/* use setters */);

pub fn set_or_clear_feature_selector<T>(self, v: Option<T>) -> Self

where T: Into<FeatureSelector>,

Sets or clears the value of feature_selector.

Example

use google_cloud_aiplatform_v1::model::FeatureSelector;
let x = StreamingReadFeatureValuesRequest::new().set_or_clear_feature_selector(Some(FeatureSelector::default()/* use setters */));
let x = StreamingReadFeatureValuesRequest::new().set_or_clear_feature_selector(None::<FeatureSelector>);

Trait Implementations

impl Clone for StreamingReadFeatureValuesRequest

fn clone(&self) -> StreamingReadFeatureValuesRequest

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for StreamingReadFeatureValuesRequest

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

Formats the value using the given formatter.

impl Default for StreamingReadFeatureValuesRequest

fn default() -> StreamingReadFeatureValuesRequest

Returns the “default value” for a type.

impl Message for StreamingReadFeatureValuesRequest

fn typename() -> &'static str

The typename of this message.

impl PartialEq for StreamingReadFeatureValuesRequest

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for StreamingReadFeatureValuesRequest