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 2025-08-20 UTC."],[[["\u003cp\u003eThe page provides reference documentation for the \u003ccode\u003eImportFeatureValuesRequest\u003c/code\u003e class within the Vertex AI v1 API.\u003c/p\u003e\n"],["\u003cp\u003eThis class, \u003ccode\u003eImportFeatureValuesRequest\u003c/code\u003e, is used to import feature values into a Featurestore in Google Cloud's Vertex AI.\u003c/p\u003e\n"],["\u003cp\u003eThe documentation outlines the available properties within the \u003ccode\u003eImportFeatureValuesRequest\u003c/code\u003e class, such as \u003ccode\u003eAvroSource\u003c/code\u003e, \u003ccode\u003eBigquerySource\u003c/code\u003e, \u003ccode\u003eCsvSource\u003c/code\u003e, \u003ccode\u003eEntityType\u003c/code\u003e, \u003ccode\u003eFeatureSpecs\u003c/code\u003e, and various other fields related to data source and import configuration.\u003c/p\u003e\n"],["\u003cp\u003eThe content lists many different versions, ranging from 3.22.0 to 1.0.0, of the \u003ccode\u003eImportFeatureValuesRequest\u003c/code\u003e, with 3.22.0 being the most recent.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eImportFeatureValuesRequest\u003c/code\u003e class implements multiple interfaces including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, as well as inherits members from the base \u003ccode\u003eobject\u003c/code\u003e class.\u003c/p\u003e\n"]]],[],null,[]]
