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Starts a pipeline execution

Description

Starts a pipeline execution.

Usage

sagemaker_start_pipeline_execution(PipelineName,
  PipelineExecutionDisplayName, PipelineParameters,
  PipelineExecutionDescription, ClientRequestToken,
  ParallelismConfiguration, SelectiveExecutionConfig, PipelineVersionId,
  MlflowExperimentName)

Arguments

  • PipelineName

    [required] The name or Amazon Resource Name (ARN) of the pipeline.

  • PipelineExecutionDisplayName

    The display name of the pipeline execution.

  • PipelineParameters

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

  • PipelineExecutionDescription

    The description of the pipeline execution.

  • ClientRequestToken

    [required] A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.

  • ParallelismConfiguration

    This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this specific run.

  • SelectiveExecutionConfig

    The selective execution configuration applied to the pipeline run.

  • PipelineVersionId

    The ID of the pipeline version to start execution from.

  • MlflowExperimentName

    The MLflow experiment name of the pipeline execution.

Value

A list with the following syntax:

list(
  PipelineExecutionArn = "string"
)

Request syntax

svc$start_pipeline_execution(
  PipelineName = "string",
  PipelineExecutionDisplayName = "string",
  PipelineParameters = list(
    list(
      Name = "string",
      Value = "string"
    )
  ),
  PipelineExecutionDescription = "string",
  ClientRequestToken = "string",
  ParallelismConfiguration = list(
    MaxParallelExecutionSteps = 123
  ),
  SelectiveExecutionConfig = list(
    SourcePipelineExecutionArn = "string",
    SelectedSteps = list(
      list(
        StepName = "string"
      )
    )
  ),
  PipelineVersionId = 123,
  MlflowExperimentName = "string"
)