Deleting a dataset to delete all of its data - Amazon Personalize
Deleting a dataset (console)Deleting a dataset (AWS CLI)Deleting a dataset (AWS SDKs)

Deleting a dataset to delete all of its data

To delete all of the data in a dataset, you delete the dataset. You can delete a dataset with the Amazon Personalize console, AWS Command Line Interface (AWS CLI), or AWS SDKs. Before you delete a dataset, note the following:

  • You must delete all filters before deleting any dataset.

  • If you created an event tracker, you must delete it before you delete an Item interactions dataset.

  • If you created a metric attribution that references the dataset, you must delete the metric attribution first.

  • If you use User-Personalization-v2, User-Personalization, or Next-Best-Action recipes or Top picks for you and Recommended for you use cases, deleting a dataset halts automatic updates for any associated solution versions or recommenders.

  • No associated DatasetImportJob can have a status of CREATE PENDING or IN PROGRESS.

  • No associated Recommender or SolutionVersion can have a status of CREATE PENDING or IN PROGRESS.

Deleting a dataset (console)

To delete a dataset with the Amazon Personalize console, navigate to the dataset details page and choose delete.

To delete a dataset

  1. Open the Amazon Personalize console at https://console.aws.amazon.com/personalize/home.

  2. In the navigation pane, choose Dataset groups.

  3. On the Dataset groups page, choose your dataset group.

  4. In the navigation pane, choose Datasets.

  5. Choose the dataset to open its details page.

  6. On the dataset's details page, choose Delete and confirm dataset deletion.

Deleting a dataset (AWS CLI)

The following code shows how to delete a dataset with the AWS CLI and the DeleteDataset operation.

aws personalize delete-dataset --dataset-arn dataset-arn

Deleting a dataset (AWS SDKs)

The following code shows how to delete a dataset with the AWS SDKs and the DeleteDataset operation.

SDK for Python (Boto3)
import boto3

personalize = boto3.client('personalize')

response = personalize.delete_dataset(
    datasetArn = 'dataset ARN'
)
SDK for Java 2.x
public static void deleteDataset(PersonalizeClient personalizeClient,
                                 String datasetArn) {

    try {
        DeleteDatasetRequest deleteRequest = DeleteDatasetRequest.builder()
                .datasetArn(datasetArn)
                .build();

        int responseCode = personalizeClient.deleteDataset(deleteRequest).sdkHttpResponse().statusCode();
        System.out.println(responseCode);
    } catch (PersonalizeException e) {
        System.out.println(e.awsErrorDetails().errorMessage());
    }
}