activate_pipeline

activate_pipeline(**kwargs)

Validates the specified pipeline and starts processing pipeline tasks. If the pipeline does not pass validation, activation fails.

If you need to pause the pipeline to investigate an issue with a component, such as a data source or script, call DeactivatePipeline.

To activate a finished pipeline, modify the end date for the pipeline and then activate it.

See also: AWS API Documentation

Request Syntax

response = client.activate_pipeline(
    pipelineId='string',
    parameterValues=[
        {
            'id': 'string',
            'stringValue': 'string'
        },
    ],
    startTimestamp=datetime(2015, 1, 1)
)

Parameters

• pipelineId (string) --

  [REQUIRED]

  The ID of the pipeline.

• parameterValues (list) --

  A list of parameter values to pass to the pipeline at activation.

  • (dict) --

    A value or list of parameter values.

    • id (string) -- [REQUIRED]

      The ID of the parameter value.

    • stringValue (string) -- [REQUIRED]

      The field value, expressed as a String.

• startTimestamp (datetime) -- The date and time to resume the pipeline. By default, the pipeline resumes from the last completed execution.

Return type

dict

Returns

Response Syntax

{}

Response Structure

• (dict) --

  Contains the output of ActivatePipeline.

Exceptions

• DataPipeline.Client.exceptions.PipelineNotFoundException
• DataPipeline.Client.exceptions.PipelineDeletedException
• DataPipeline.Client.exceptions.InternalServiceError
• DataPipeline.Client.exceptions.InvalidRequestException