public sealed class ImportFeatureValuesRequest : IMessage<ImportFeatureValuesRequest>, IEquatable<ImportFeatureValuesRequest>, IDeepCloneable<ImportFeatureValuesRequest>, IBufferMessage, IMessage
Reference documentation and code samples for the Vertex AI v1 API class ImportFeatureValuesRequest.
Request message for
[FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
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.
Required. The resource name of the EntityType grouping the Features for
which values are being imported. Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
public RepeatedField<ImportFeatureValuesRequest.Types.FeatureSpec> FeatureSpecs { get; }
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.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-04-08 UTC."],[[["This document provides comprehensive reference information for the `ImportFeatureValuesRequest` class within the Google Cloud AI Platform v1 API, specifically version 3.19.0."],["The `ImportFeatureValuesRequest` class is used to define the request message for importing feature values into a Featurestore, outlining the necessary parameters such as data source, entity type, and feature specifications."],["The document outlines the `ImportFeatureValuesRequest` class's implementation of various interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, indicating its role in the communication and data management within the API."],["The page lists various versions of this class, from `1.0.0` to `3.22.0 (latest)` enabling users to find documentation relating to the version they are using, along with navigation links."],["The documentation thoroughly describes the constructors and properties of the `ImportFeatureValuesRequest` class, such as `AvroSource`, `BigquerySource`, `CsvSource`, `DisableIngestionAnalysis`, `EntityIdField`, and `FeatureSpecs`, and further explains their purpose and usage."]]],[]]