Struct gapi_grpc::google::cloud::aiplatform::v1beta1::Dataset

pub struct Dataset {
    pub name: String,
    pub display_name: String,
    pub metadata_schema_uri: String,
    pub metadata: Option<Value>,
    pub create_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub etag: String,
    pub labels: HashMap<String, String>,
    pub encryption_spec: Option<EncryptionSpec>,
}

A collection of DataItems and Annotations on them.

Fields

name: String

Output only. The resource name of the Dataset.

display_name: String

Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can be consist of any UTF-8 characters.

metadata_schema_uri: String

Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.

metadata: Option<Value>

Required. Additional information about the Dataset.

create_time: Option<Timestamp>

Output only. Timestamp when this Dataset was created.

update_time: Option<Timestamp>

Output only. Timestamp when this Dataset was last updated.

etag: String

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

labels: HashMap<String, String>

The labels with user-defined metadata to organize your Datasets.

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. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with “aiplatform.googleapis.com/” and are immutable. Following system labels exist for each Dataset:

• “aiplatform.googleapis.com/dataset_metadata_schema”: output only, its value is the [metadata_schema’s][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.

encryption_spec: Option<EncryptionSpec>

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

Trait Implementations

impl Clone for Dataset

fn clone(&self) -> Dataset

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Dataset

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

Formats the value using the given formatter.

impl Default for Dataset

fn default() -> Dataset

Returns the “default value” for a type.

impl Message for Dataset

fn encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

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.

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

Encodes the message to a buffer.

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

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

pub fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

Decodes an instance of the message from a buffer.

pub fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

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

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

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

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

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

impl PartialEq<Dataset> for Dataset

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

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

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

This method tests for !=.

impl StructuralPartialEq for Dataset