[ aws . glue ]

cancel-ml-task-run

Description

Cancels (stops) a task run. Machine learning task runs are asynchronous tasks that Glue runs on your behalf as part of various machine learning workflows. You can cancel a machine learning task run at any time by calling CancelMLTaskRun with a task run’s parent transform’s TransformID and the task run’s TaskRunId .

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  cancel-ml-task-run
--transform-id <value>
--task-run-id <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--transform-id (string)

The unique identifier of the machine learning transform.

--task-run-id (string)

A unique identifier for the task run.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml.

--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. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

See ‘aws help’ for descriptions of global parameters.

Output

TransformId -> (string)

The unique identifier of the machine learning transform.

TaskRunId -> (string)

The unique identifier for the task run.

Status -> (string)

The status for this run.