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[ aws . personalize ]
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 .
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:
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
See also: AWS API Documentation
create-data-deletion-job
--job-name <value>
--dataset-group-arn <value>
--data-source <value>
--role-arn <value>
[--tags <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
--job-name
(string)
The name for the data deletion job.
--dataset-group-arn
(string)
The Amazon Resource Name (ARN) of the dataset group that has the datasets you want to delete records from.
--data-source
(structure)
The Amazon S3 bucket that contains the list of userIds of the users to delete.
dataLocation -> (string)
For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For data deletion jobs, the path to the Amazon S3 bucket that stores the list of records to delete.
For example:
s3://bucket-name/folder-name/fileName.csv
If your CSV files are in a folder in your Amazon S3 bucket and you want your import job or data deletion job to consider multiple files, you can specify the path to the folder. With a data deletion job, Amazon Personalize uses all files in the folder and any sub folder. Use the following syntax with a
/
after the folder name:s3://bucket-name/folder-name/
Shorthand Syntax:
dataLocation=string
JSON Syntax:
{
"dataLocation": "string"
}
--role-arn
(string)
The Amazon Resource Name (ARN) of the IAM role that has permissions to read from the Amazon S3 data source.
--tags
(list)
A list of tags to apply to the data deletion job.
(structure)
The optional metadata that you apply to resources to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. For more information see Tagging Amazon Personalize resources .
tagKey -> (string)
One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values.tagValue -> (string)
The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).
Shorthand Syntax:
tagKey=string,tagValue=string ...
JSON Syntax:
[
{
"tagKey": "string",
"tagValue": "string"
}
...
]
--cli-input-json
(string)
Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command's default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output
(string)
The formatting style for command output.
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.