Personalize Dataset Export Job

An AWS Personalize Dataset Export Job is a resource that allows you to export data from a dataset in Amazon Personalize to an Amazon S3 bucket. This is useful for analyzing the data outside of Personalize, sharing it with other systems, or archiving it. The export job runs asynchronously and provides details such as status, creation time, and destination location.

aws.personalize_dataset_export_job

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
creation_date_timecoretimestampThe creation date and time (in Unix time) of the dataset export job.
dataset_arncorestringThe Amazon Resource Name (ARN) of the dataset to export.
dataset_export_job_arncorestringThe Amazon Resource Name (ARN) of the dataset export job.
failure_reasoncorestringIf a dataset export job fails, provides the reason why.
ingestion_modecorestringThe data to export, based on how you imported the data. You can choose to export BULK data that you imported using a dataset import job, PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.
job_namecorestringThe name of the export job.
job_outputcorejsonThe path to the Amazon S3 bucket where the job's output is stored. For example: s3://bucket-name/folder-name/
last_updated_date_timecoretimestampThe date and time (in Unix time) the status of the dataset export job was last updated.
role_arncorestringThe Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.
statuscorestringThe status of the dataset export job. A dataset export job can be in one of the following states: CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
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