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start_application async 

start_application(
    application_name: ApplicationName,
    *,
    config_overrides: Optional[AsyncKinesisAnalyticsV2ClientConfig] = None,
    run_configuration: Optional[RunConfiguration] = None,
) -> StartApplicationResponse

Starts the specified Managed Service for Apache Flink application. After creating an application, you must exclusively call this operation to start your application.

Parameters:

  • application_name (ApplicationName) –

    The name of the application.

  • run_configuration (Optional[RunConfiguration], default: None ) –

    Identifies the run configuration (start parameters) of a Managed Service for Apache Flink application.

Raises:

Source code in docs_src/capo_kinesis_analytics_v2/_services/async_kinesis_analytics_v2.py 
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async def start_application(
    self,
    application_name: "capo_kinesis_analytics_v2.types.application_name.ApplicationName",
    *,
    config_overrides: Optional[AsyncKinesisAnalyticsV2ClientConfig] = None,
    run_configuration: Optional[
        "capo_kinesis_analytics_v2.types.run_configuration.RunConfiguration"
    ] = None,
) -> "capo_kinesis_analytics_v2.types.start_application_response.StartApplicationResponse":
    """<p>Starts the specified Managed Service for Apache Flink application. After creating an application, you must exclusively call this operation to start your application.</p>

    Args:
        application_name: <p>The name of the application.</p>
        run_configuration: <p>Identifies the run configuration (start parameters) of a Managed Service for Apache Flink application.</p>

    Raises:
        capo_kinesis_analytics_v2.errors.invalid_application_configuration_exception.InvalidApplicationConfigurationException: <p>The user-provided application configuration is not valid.</p>
        capo_kinesis_analytics_v2.errors.invalid_argument_exception.InvalidArgumentException: <p>The specified input parameter value is not valid.</p>
        capo_kinesis_analytics_v2.errors.invalid_request_exception.InvalidRequestException: <p>The request JSON is not valid for the operation.</p>
        capo_kinesis_analytics_v2.errors.resource_in_use_exception.ResourceInUseException: <p>The application is not available for this operation.</p>
        capo_kinesis_analytics_v2.errors.resource_not_found_exception.ResourceNotFoundException: <p>Specified application can't be found.</p>
        capo_kinesis_analytics_v2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_kinesis_analytics_v2.types.start_application_request.StartApplicationRequest]",
    ) -> AsyncOperationResponse[
        "capo_kinesis_analytics_v2.types.start_application_response.StartApplicationResponse"
    ]:
        import capo_kinesis_analytics_v2._operations.kinesis_analytics_20180523.start_application

        (
            output,
            http_response,
        ) = await capo_kinesis_analytics_v2._operations.kinesis_analytics_20180523.start_application.async_start_application(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("StartApplication")
    )
    input_: capo_kinesis_analytics_v2.types.start_application_request.StartApplicationRequest = {
        "application_name": application_name
    }
    if run_configuration is not None:
        input_["run_configuration"] = run_configuration

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output