start_session ¶

def start_session(
    self,
    application_id: "capo_emr_serverless.types.application_id.ApplicationId",
    client_token: "capo_emr_serverless.types.client_token.ClientToken",
    execution_role_arn: "capo_emr_serverless.types.iam_role_arn.IAMRoleArn",
    *,
    config_overrides: Optional[EMRServerlessClientConfig] = None,
    configuration_overrides: Optional[
        "capo_emr_serverless.types.session_configuration_overrides.SessionConfigurationOverrides"
    ] = None,
    tags: Optional["capo_emr_serverless.types.tag_map.TagMap"] = None,
    idle_timeout_minutes: Optional[
        "capo_emr_serverless.types.duration.Duration"
    ] = None,
    name: Optional["capo_emr_serverless.types.string256.String256"] = None,
) -> "capo_emr_serverless.types.start_session_response.StartSessionResponse":
    """<p>Creates and starts a new session on the specified application. The application must be in the <code>STARTED</code> state or have <code>AutoStart</code> enabled, and have interactive sessions enabled. This operation is supported for EMR release 7.13.0 and later.</p>

    Args:
        application_id: <p>The ID of the application on which to start the session.</p>
        client_token: <p>A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. If you retry a request that completed successfully using the same client token, the server returns the successful response without performing the operation again.</p>
        execution_role_arn: <p>The execution role ARN for the session. Amazon EMR Serverless uses this role to access Amazon Web Services resources on your behalf during session execution.</p>
        configuration_overrides: <p>The configuration overrides for the session. Only runtime configuration overrides are supported.</p>
        tags: <p>The tags to assign to the session.</p>
        idle_timeout_minutes: <p>The idle timeout in minutes for the session. After the session remains idle for this duration, Amazon EMR Serverless automatically terminates it.</p>
        name: <p>The optional name for the session.</p>

    Raises:
        capo_emr_serverless.errors.conflict_exception.ConflictException: <p>The request could not be processed because of conflict in the current state of the resource.</p>
        capo_emr_serverless.errors.internal_server_exception.InternalServerException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_emr_serverless.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_emr_serverless.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The maximum number of resources per account has been reached.</p>
        capo_emr_serverless.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_emr_serverless.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_emr_serverless.types.start_session_request.StartSessionRequest]",
    ) -> OperationResponse[
        "capo_emr_serverless.types.start_session_response.StartSessionResponse"
    ]:
        import capo_emr_serverless._operations.aws_toledo_web_service.start_session

        output, http_response = (
            capo_emr_serverless._operations.aws_toledo_web_service.start_session.start_session(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_emr_serverless.types.start_session_request.StartSessionRequest",
    ) -> dict[str, Any]:
        import capo_emr_serverless.types.start_session_request

        return capo_emr_serverless.types.start_session_request.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("StartSession", redact_input=_redact_input),
    )
    input_: capo_emr_serverless.types.start_session_request.StartSessionRequest = {
        "application_id": application_id,
        "client_token": client_token,
        "execution_role_arn": execution_role_arn,
    }
    if configuration_overrides is not None:
        input_["configuration_overrides"] = configuration_overrides
    if tags is not None:
        input_["tags"] = tags
    if idle_timeout_minutes is not None:
        input_["idle_timeout_minutes"] = idle_timeout_minutes
    if name is not None:
        input_["name"] = name

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output