personalize/aws.sdk.kotlin.services.personalize.model/DatasetImportJob

DatasetImportJob

Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. For more information, see CreateDatasetImportJob.

A dataset import job can be in one of the following states:

CREATE PENDING CREATE IN_PROGRESS ACTIVE -or- CREATE FAILED

Types

Builder

class Builder

Companion

object Companion

Properties

creationDateTime

val creationDateTime: Instant?

The creation date and time (in Unix time) of the dataset import job.

datasetArn

val datasetArn: String?

The Amazon Resource Name (ARN) of the dataset that receives the imported data.

datasetImportJobArn

val datasetImportJobArn: String?

The ARN of the dataset import job.

dataSource

val dataSource: DataSource?

The Amazon S3 bucket that contains the training data to import.

failureReason

val failureReason: String?

If a dataset import job fails, provides the reason why.

importMode

val importMode: ImportMode?

The import mode used by the dataset import job to import new records.

jobName

val jobName: String?

The name of the import job.

lastUpdatedDateTime

val lastUpdatedDateTime: Instant?

The date and time (in Unix time) the dataset was last updated.

publishAttributionMetricsToS3

val publishAttributionMetricsToS3: Boolean?

Whether the job publishes metrics to Amazon S3 for a metric attribution.

roleArn

val roleArn: String?

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

status

val status: String?

The status of the dataset import job.

Functions

copy

inline fun copy(block: DatasetImportJob.Builder.() -> Unit = {}): DatasetImportJob

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String