Starts a SageMaker pipeline execution.

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Last Updated: Feb. 27, 2023

Access Instructions

Install the Amazon provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.


configThe configuration to start the pipeline execution.
aws_conn_idThe AWS connection ID to use.
pipeline_nameRequiredName of the pipeline to start.
display_nameThe name this pipeline execution will have in the UI. Doesn’t need to be unique.
pipeline_paramsOptional parameters for the pipeline. All parameters supplied need to already be present in the pipeline definition.
wait_for_completionIf true, this operator will only complete once the pipeline is complete.
check_intervalHow long to wait between checks for pipeline status when waiting for completion.
verboseWhether to print steps details when waiting for completion. Defaults to true, consider turning off for pipelines that have thousands of steps.


Starts a SageMaker pipeline execution.

See also

For more information on how to use this operator, take a look at the guide: Start an Amazon SageMaker pipeline execution

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