Creates a job that exports data from your dataset to an Amazon S3 bucket
Source:R/personalize_operations.R
personalize_create_dataset_export_job.RdCreates a job that exports data from your dataset to an Amazon S3 bucket. To allow Amazon Personalize to export the training data, you must specify an service-linked IAM role that gives Amazon Personalize PutObject permissions for your Amazon S3 bucket. For information, see Exporting a dataset in the Amazon Personalize developer guide.
See https://www.paws-r-sdk.com/docs/personalize_create_dataset_export_job/ for full documentation.
Usage
personalize_create_dataset_export_job(
jobName,
datasetArn,
ingestionMode = NULL,
roleArn,
jobOutput,
tags = NULL
)Arguments
- jobName
[required] The name for the dataset export job.
- datasetArn
[required] The Amazon Resource Name (ARN) of the dataset that contains the data to export.
- ingestionMode
The data to export, based on how you imported the data. You can choose to export only
BULKdata that you imported using a dataset import job, onlyPUTdata that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), orALLfor both types. The default value isPUT.- roleArn
[required] The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.
- jobOutput
[required] The path to the Amazon S3 bucket where the job's output is stored.
A list of tags to apply to the dataset export job.