Struct google_api_proto::google::cloud::aiplatform::v1beta1::Featurestore
source · pub struct Featurestore {
pub name: String,
pub create_time: Option<Timestamp>,
pub update_time: Option<Timestamp>,
pub etag: String,
pub labels: BTreeMap<String, String>,
pub online_serving_config: Option<OnlineServingConfig>,
pub state: i32,
pub online_storage_ttl_days: i32,
pub encryption_spec: Option<EncryptionSpec>,
pub satisfies_pzs: bool,
pub satisfies_pzi: bool,
}
Expand description
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§
§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: BTreeMap<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: i32
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§
Trait Implementations§
source§impl Clone for Featurestore
impl Clone for Featurestore
source§fn clone(&self) -> Featurestore
fn clone(&self) -> Featurestore
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for Featurestore
impl Debug for Featurestore
source§impl Default for Featurestore
impl Default for Featurestore
source§impl Message for Featurestore
impl Message for Featurestore
source§fn encoded_len(&self) -> usize
fn encoded_len(&self) -> usize
source§fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>where
Self: Sized,
fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>where
Self: Sized,
source§fn encode_to_vec(&self) -> Vec<u8>where
Self: Sized,
fn encode_to_vec(&self) -> Vec<u8>where
Self: Sized,
source§fn encode_length_delimited(
&self,
buf: &mut impl BufMut,
) -> Result<(), EncodeError>where
Self: Sized,
fn encode_length_delimited(
&self,
buf: &mut impl BufMut,
) -> Result<(), EncodeError>where
Self: Sized,
source§fn encode_length_delimited_to_vec(&self) -> Vec<u8>where
Self: Sized,
fn encode_length_delimited_to_vec(&self) -> Vec<u8>where
Self: Sized,
source§fn decode(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
fn decode(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
source§fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>where
Self: Default,
source§fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
self
. Read moresource§fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>where
Self: Sized,
self
.source§impl PartialEq for Featurestore
impl PartialEq for Featurestore
source§fn eq(&self, other: &Featurestore) -> bool
fn eq(&self, other: &Featurestore) -> bool
self
and other
values to be equal, and is used
by ==
.impl StructuralPartialEq for Featurestore
Auto Trait Implementations§
impl Freeze for Featurestore
impl RefUnwindSafe for Featurestore
impl Send for Featurestore
impl Sync for Featurestore
impl Unpin for Featurestore
impl UnwindSafe for Featurestore
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoRequest<T> for T
impl<T> IntoRequest<T> for T
source§fn into_request(self) -> Request<T>
fn into_request(self) -> Request<T>
T
in a tonic::Request