StartPipelineExecution - Amazon SageMaker Service

StartPipelineExecution

Starts a pipeline execution.

Request Syntax

{ "ClientRequestToken": "string", "PipelineExecutionDescription": "string", "PipelineExecutionDisplayName": "string", "PipelineName": "string", "PipelineParameters": [ { "Name": "string", "Value": "string" } ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

ClientRequestToken

A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.

Type: String

Length Constraints: Minimum length of 32. Maximum length of 128.

Required: Yes

PipelineExecutionDescription

The description of the pipeline execution.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 3072.

Pattern: .*

Required: No

PipelineExecutionDisplayName

The display name of the pipeline execution.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 82.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,81}

Required: No

PipelineName

The name of the pipeline.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 256.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,255}

Required: Yes

PipelineParameters

Contains a list of pipeline parameters. This list can be empty.

Type: Array of Parameter objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No

Response Syntax

{ "PipelineExecutionArn": "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.

PipelineExecutionArn

The Amazon Resource Name (ARN) of the pipeline execution.

Type: String

Length Constraints: Maximum length of 256.

Pattern: ^arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:pipeline\/.*\/execution\/.*$

Errors

For information about the errors that are common to all actions, see Common Errors.

ResourceLimitExceeded

You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400

ResourceNotFound

Resource being access is not found.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: