public sealed class ImportFeatureValuesRequest : IMessage<ImportFeatureValuesRequest>, IEquatable<ImportFeatureValuesRequest>, IDeepCloneable<ImportFeatureValuesRequest>, IBufferMessage, IMessage
Reference documentation and code samples for the Vertex AI v1beta1 API class ImportFeatureValuesRequest.
Request message for
[FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.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 2025-03-25 UTC."],[[["The `ImportFeatureValuesRequest` class is a request message for importing feature values in the Vertex AI v1beta1 API, specifically used with `FeaturestoreService.ImportFeatureValues`."],["This class inherits from `object` and implements multiple interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, providing functionalities for message handling, comparison, deep cloning, and buffer management."],["It supports multiple sources for importing data, including Avro, BigQuery, and CSV, through the properties `AvroSource`, `BigquerySource`, and `CsvSource`, respectively, and allows the specification of the source column that holds the entity IDs."],["You can specify a single feature timestamp for all imported entities through `FeatureTime`, or a source column that holds the feature timestamp for each entity using `FeatureTimeField`."],["The class allows for settings like disabling the ingestion analysis pipeline via `DisableIngestionAnalysis`, preventing data import for online serving using `DisableOnlineServing`, and defining worker count for the data writing process using `WorkerCount`."]]],[]]
