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"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20 UTC."],[[["\u003cp\u003eThis document provides comprehensive reference documentation for the \u003ccode\u003eImportFeatureValuesRequest\u003c/code\u003e class within the Vertex AI v1 API, specifically under the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1\u003c/code\u003e namespace.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version for the \u003ccode\u003eImportFeatureValuesRequest\u003c/code\u003e is 3.22.0, and the document covers all the way back to version 1.0.0.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eImportFeatureValuesRequest\u003c/code\u003e is a class used to define requests for the \u003ccode\u003eFeaturestoreService.ImportFeatureValues\u003c/code\u003e API, allowing the import of feature values into the Vertex AI platform.\u003c/p\u003e\n"],["\u003cp\u003eThe document details the class's inheritance, implemented interfaces, constructors, properties, and related types such as \u003ccode\u003eAvroSource\u003c/code\u003e, \u003ccode\u003eBigQuerySource\u003c/code\u003e, and \u003ccode\u003eCsvSource\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eProperties like \u003ccode\u003eDisableIngestionAnalysis\u003c/code\u003e, \u003ccode\u003eDisableOnlineServing\u003c/code\u003e, \u003ccode\u003eEntityIdField\u003c/code\u003e, and \u003ccode\u003eFeatureSpecs\u003c/code\u003e are explained, allowing users to customize and fine-tune their feature value import operations.\u003c/p\u003e\n"]]],[],null,[]]
