Struct GoogleCloudAiplatformV1ImportFeatureValuesRequest

pub struct GoogleCloudAiplatformV1ImportFeatureValuesRequest {
    pub feature_time: Option<DateTime<Utc>>,
    pub feature_specs: Option<Vec<GoogleCloudAiplatformV1ImportFeatureValuesRequestFeatureSpec>>,
    pub disable_online_serving: Option<bool>,
    pub worker_count: Option<i32>,
    pub avro_source: Option<GoogleCloudAiplatformV1AvroSource>,
    pub csv_source: Option<GoogleCloudAiplatformV1CsvSource>,
    pub entity_id_field: Option<String>,
    pub feature_time_field: Option<String>,
    pub disable_ingestion_analysis: Option<bool>,
    pub bigquery_source: Option<GoogleCloudAiplatformV1BigQuerySource>,
}

Request message for FeaturestoreService.ImportFeatureValues.

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• locations featurestores entity types import feature values projects (request)

Fields

feature_time: Option<DateTime<Utc>>

Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.

feature_specs: Option<Vec<GoogleCloudAiplatformV1ImportFeatureValuesRequestFeatureSpec>>

Required. Specifications defining which Feature values to import from the entity. The request fails if no feature_specs are provided, and having multiple feature_specs for one Feature is not allowed.

disable_online_serving: Option<bool>

If set, data will not be imported for online serving. This is typically used for backfilling, where Feature generation timestamps are not in the timestamp range needed for online serving.

worker_count: Option<i32>

Specifies the number of workers that are used to write data to the Featurestore. Consider the online serving capacity that you require to achieve the desired import throughput without interfering with online serving. The value must be positive, and less than or equal to 100. If not set, defaults to using 1 worker. The low count ensures minimal impact on online serving performance.

avro_source: Option<GoogleCloudAiplatformV1AvroSource>

no description provided

csv_source: Option<GoogleCloudAiplatformV1CsvSource>

no description provided

entity_id_field: Option<String>

Source column that holds entity IDs. If not provided, entity IDs are extracted from the column named entity_id.

feature_time_field: Option<String>

Source column that holds the Feature timestamp for all Feature values in each entity.

disable_ingestion_analysis: Option<bool>

If true, API doesn’t start ingestion analysis pipeline.

bigquery_source: Option<GoogleCloudAiplatformV1BigQuerySource>

no description provided

Trait Implementations

impl Clone for GoogleCloudAiplatformV1ImportFeatureValuesRequest

fn clone(&self) -> GoogleCloudAiplatformV1ImportFeatureValuesRequest

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1ImportFeatureValuesRequest

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1ImportFeatureValuesRequest

fn default() -> GoogleCloudAiplatformV1ImportFeatureValuesRequest

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1ImportFeatureValuesRequest

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1ImportFeatureValuesRequest

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl RequestValue for GoogleCloudAiplatformV1ImportFeatureValuesRequest