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start_data_source_run async

start_data_source_run(
    domain_identifier: DomainId,
    data_source_identifier: DataSourceId,
    *,
    config_overrides: Optional[AsyncDataZoneClientConfig] = None,
    client_token: Optional[str] = None,
) -> StartDataSourceRunOutput

Start the run of the specified data source in Amazon DataZone.

Parameters:

  • domain_identifier (DomainId) –

    The identifier of the Amazon DataZone domain in which to start a data source run.

  • data_source_identifier (DataSourceId) –

    The identifier of the data source.

  • client_token (Optional[str], default: None ) –

    A unique, case-sensitive identifier that is provided to ensure the idempotency of the request.

Raises:

Source code in docs_src/capo_datazone/_services/async_data_zone.py
async def start_data_source_run(
    self,
    domain_identifier: "capo_datazone.types.domain_id.DomainId",
    data_source_identifier: "capo_datazone.types.data_source_id.DataSourceId",
    *,
    config_overrides: Optional[AsyncDataZoneClientConfig] = None,
    client_token: Optional[str] = None,
) -> "capo_datazone.types.start_data_source_run_output.StartDataSourceRunOutput":
    """<p>Start the run of the specified data source in Amazon DataZone.</p>

    Args:
        domain_identifier: <p>The identifier of the Amazon DataZone domain in which to start a data source run.</p>
        data_source_identifier: <p>The identifier of the data source.</p>
        client_token: <p>A unique, case-sensitive identifier that is provided to ensure the idempotency of the request.</p>

    Raises:
        capo_datazone.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_datazone.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_datazone.errors.unauthorized_exception.UnauthorizedException: <p>You do not have permission to perform this action.</p>
        capo_datazone.errors.conflict_exception.ConflictException: <p>There is a conflict while performing this action.</p>
        capo_datazone.errors.internal_server_exception.InternalServerException: <p>The request has failed because of an unknown error, exception or failure.</p>
        capo_datazone.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource cannot be found.</p>
        capo_datazone.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The request has exceeded the specified service quota.</p>
        capo_datazone.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the Amazon Web Services service.</p>
        capo_datazone.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_datazone.types.start_data_source_run_input.StartDataSourceRunInput]",
    ) -> AsyncOperationResponse[
        "capo_datazone.types.start_data_source_run_output.StartDataSourceRunOutput"
    ]:
        import capo_datazone._operations.data_zone.start_data_source_run

        (
            output,
            http_response,
        ) = await capo_datazone._operations.data_zone.start_data_source_run.async_start_data_source_run(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("StartDataSourceRun")
    )
    input_: capo_datazone.types.start_data_source_run_input.StartDataSourceRunInput = {
        "domain_identifier": domain_identifier,
        "data_source_identifier": data_source_identifier,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

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