Request Syntax Request Parameters Response Syntax Response Elements Errors See Also

CreateDataDeletionJob

Creates a batch job that deletes all references to specific users from an Amazon Personalize dataset group in batches. You specify the users to delete in a CSV file of userIds in an Amazon S3 bucket. After a job completes, Amazon Personalize no longer trains on the users’ data and no longer considers the users when generating user segments. For more information about creating a data deletion job, see Deleting users.

Your input file must be a CSV file with a single USER_ID column that lists the users IDs. For more information about preparing the CSV file, see Preparing your data deletion file and uploading it to Amazon S3.
To give Amazon Personalize permission to access your input CSV file of userIds, you must specify an IAM service role that has permission to read from the data source. This role needs GetObject and ListBucket permissions for the bucket and its content. These permissions are the same as importing data. For information on granting access to your Amazon S3 bucket, see Giving Amazon Personalize Access to Amazon S3 Resources.

After you create a job, it can take up to a day to delete all references to the users from datasets and models. Until the job completes, Amazon Personalize continues to use the data when training. And if you use a User Segmentation recipe, the users might appear in user segments.

Status

A data deletion job can have one of the following statuses:

PENDING > IN_PROGRESS > COMPLETED -or- FAILED

To get the status of the data deletion job, call DescribeDataDeletionJob API operation and specify the Amazon Resource Name (ARN) of the job. If the status is FAILED, the response includes a failureReason key, which describes why the job failed.

Related APIs

Request Syntax


{
   "datasetGroupArn": "string",
   "dataSource": { 
      "dataLocation": "string"
   },
   "jobName": "string",
   "roleArn": "string",
   "tags": [ 
      { 
         "tagKey": "string",
         "tagValue": "string"
      }
   ]
}

Request Parameters

The request accepts the following data in JSON format.

datasetGroupArn

The Amazon Resource Name (ARN) of the dataset group that has the datasets you want to delete records from.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):personalize:.*:.*:.+

Required: Yes

dataSource

The Amazon S3 bucket that contains the list of userIds of the users to delete.

Type: DataSource object

Required: Yes

jobName

The name for the data deletion job.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z0-9][a-zA-Z0-9\-_]*

Required: Yes

roleArn

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

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+

Required: Yes

tags

A list of tags to apply to the data deletion job.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 200 items.

Required: No

Response Syntax


{
   "dataDeletionJobArn": "string"
}

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

dataDeletionJobArn

The Amazon Resource Name (ARN) of the data deletion job.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):personalize:.*:.*:.+

Errors

InvalidInputException

Provide a valid value for the field or parameter.

HTTP Status Code: 400

LimitExceededException

The limit on the number of requests per second has been exceeded.

HTTP Status Code: 400

ResourceAlreadyExistsException

The specified resource already exists.

HTTP Status Code: 400

ResourceInUseException

The specified resource is in use.

HTTP Status Code: 400

ResourceNotFoundException

Could not find the specified resource.

HTTP Status Code: 400

TooManyTagsException

You have exceeded the maximum number of tags you can apply to this resource.

HTTP Status Code: 400