Struct Featurestore 

#[non_exhaustive]
pub struct Featurestore {
    pub name: String,
    pub create_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub etag: String,
    pub labels: HashMap<String, String>,
    pub online_serving_config: Option<OnlineServingConfig>,
    pub state: State,
    pub online_storage_ttl_days: i32,
    pub encryption_spec: Option<EncryptionSpec>,
    pub satisfies_pzs: bool,
    pub satisfies_pzi: bool,
    /* private fields */
}

Available on crate feature featurestore-service only.

Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features. The Featurestore is a top-level container for your features and their values.

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.

name: String

Output only. Name of the Featurestore. Format: projects/{project}/locations/{location}/featurestores/{featurestore}

create_time: Option<Timestamp>

Output only. Timestamp when this Featurestore was created.

update_time: Option<Timestamp>

Output only. Timestamp when this Featurestore was last updated.

etag: String

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

labels: HashMap<String, String>

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

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 Featurestore(System labels are excluded).“ System reserved label keys are prefixed with “aiplatform.googleapis.com/” and are immutable.

online_serving_config: Option<OnlineServingConfig>

Optional. Config for online storage resources. The field should not co-exist with the field of OnlineStoreReplicationConfig. If both of it and OnlineStoreReplicationConfig are unset, the feature store will not have an online store and cannot be used for online serving.

state: State

Output only. State of the featurestore.

online_storage_ttl_days: i32

Optional. TTL in days for feature values that will be stored in online serving storage. The Feature Store online storage periodically removes obsolete feature values older than online_storage_ttl_days since the feature generation time. Note that online_storage_ttl_days should be less than or equal to offline_storage_ttl_days for each EntityType under a featurestore. If not set, default to 4000 days

encryption_spec: Option<EncryptionSpec>

Optional. Customer-managed encryption key spec for data storage. If set, both of the online and offline data storage will be secured by this key.

satisfies_pzs: bool

Output only. Reserved for future use.

satisfies_pzi: bool

Output only. Reserved for future use.

Implementations

impl Featurestore

pub fn new() -> Self

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

Sets the value of name.

Example

let x = Featurestore::new().set_name("example");

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

where T: Into<Timestamp>,

Sets the value of create_time.

Example

use wkt::Timestamp;
let x = Featurestore::new().set_create_time(Timestamp::default()/* use setters */);

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

where T: Into<Timestamp>,

Sets or clears the value of create_time.

Example

use wkt::Timestamp;
let x = Featurestore::new().set_or_clear_create_time(Some(Timestamp::default()/* use setters */));
let x = Featurestore::new().set_or_clear_create_time(None::<Timestamp>);

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

where T: Into<Timestamp>,

Sets the value of update_time.

Example

use wkt::Timestamp;
let x = Featurestore::new().set_update_time(Timestamp::default()/* use setters */);

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

where T: Into<Timestamp>,

Sets or clears the value of update_time.

Example

use wkt::Timestamp;
let x = Featurestore::new().set_or_clear_update_time(Some(Timestamp::default()/* use setters */));
let x = Featurestore::new().set_or_clear_update_time(None::<Timestamp>);

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

Sets the value of etag.

Example

let x = Featurestore::new().set_etag("example");

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

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

Sets the value of labels.

Example

let x = Featurestore::new().set_labels([
    ("key0", "abc"),
    ("key1", "xyz"),
]);

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

where T: Into<OnlineServingConfig>,

Sets the value of online_serving_config.

Example

use google_cloud_aiplatform_v1::model::featurestore::OnlineServingConfig;
let x = Featurestore::new().set_online_serving_config(OnlineServingConfig::default()/* use setters */);

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

where T: Into<OnlineServingConfig>,

Sets or clears the value of online_serving_config.

Example

use google_cloud_aiplatform_v1::model::featurestore::OnlineServingConfig;
let x = Featurestore::new().set_or_clear_online_serving_config(Some(OnlineServingConfig::default()/* use setters */));
let x = Featurestore::new().set_or_clear_online_serving_config(None::<OnlineServingConfig>);

pub fn set_state<T: Into<State>>(self, v: T) -> Self

Sets the value of state.

Example

use google_cloud_aiplatform_v1::model::featurestore::State;
let x0 = Featurestore::new().set_state(State::Stable);
let x1 = Featurestore::new().set_state(State::Updating);

pub fn set_online_storage_ttl_days<T: Into<i32>>(self, v: T) -> Self

Sets the value of online_storage_ttl_days.

Example

let x = Featurestore::new().set_online_storage_ttl_days(42);

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

where T: Into<EncryptionSpec>,

Sets the value of encryption_spec.

Example

use google_cloud_aiplatform_v1::model::EncryptionSpec;
let x = Featurestore::new().set_encryption_spec(EncryptionSpec::default()/* use setters */);

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

where T: Into<EncryptionSpec>,

Sets or clears the value of encryption_spec.

Example

use google_cloud_aiplatform_v1::model::EncryptionSpec;
let x = Featurestore::new().set_or_clear_encryption_spec(Some(EncryptionSpec::default()/* use setters */));
let x = Featurestore::new().set_or_clear_encryption_spec(None::<EncryptionSpec>);

pub fn set_satisfies_pzs<T: Into<bool>>(self, v: T) -> Self

Sets the value of satisfies_pzs.

Example

let x = Featurestore::new().set_satisfies_pzs(true);

pub fn set_satisfies_pzi<T: Into<bool>>(self, v: T) -> Self

Sets the value of satisfies_pzi.

Example

let x = Featurestore::new().set_satisfies_pzi(true);

Trait Implementations

impl Clone for Featurestore

fn clone(&self) -> Featurestore

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Featurestore

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

Formats the value using the given formatter.

impl Default for Featurestore

fn default() -> Featurestore

Returns the “default value” for a type.

impl Message for Featurestore

fn typename() -> &'static str

The typename of this message.

impl PartialEq for Featurestore

fn eq(&self, other: &Featurestore) -> 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 Featurestore