get_upgrade_history ¶

get_upgrade_history(
    domain_name: DomainName,
    *,
    config_overrides: Optional[ElasticsearchServiceClientConfig] = None,
    max_results: Optional[MaxResults] = None,
    next_token: Optional[NextToken] = None,
) -> GetUpgradeHistoryResponse

Retrieves the complete history of the last 10 upgrades that were performed on the domain.

Raises:

BaseException –

An error occurred while processing the request.
DisabledOperationException –

An error occured because the client wanted to access a not supported operation. Gives http status code of 409.
InternalException –

The request processing has failed because of an unknown error, exception or failure (the failure is internal to the service) . Gives http status code of 500.
ResourceNotFoundException –

An exception for accessing or deleting a resource that does not exist. Gives http status code of 400.
ValidationException –

An exception for missing / invalid input fields. Gives http status code of 400.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_elasticsearch_service/_services/elasticsearch_service.py

def get_upgrade_history(
    self,
    domain_name: "capo_elasticsearch_service.types.domain_name.DomainName",
    *,
    config_overrides: Optional[ElasticsearchServiceClientConfig] = None,
    max_results: Optional[
        "capo_elasticsearch_service.types.max_results.MaxResults"
    ] = None,
    next_token: Optional[
        "capo_elasticsearch_service.types.next_token.NextToken"
    ] = None,
) -> "capo_elasticsearch_service.types.get_upgrade_history_response.GetUpgradeHistoryResponse":
    """<p>Retrieves the complete history of the last 10 upgrades that were performed on the domain.</p>

    Raises:
        capo_elasticsearch_service.errors.base_exception.BaseException: <p>An error occurred while processing the request.</p>
        capo_elasticsearch_service.errors.disabled_operation_exception.DisabledOperationException: <p>An error occured because the client wanted to access a not supported operation. Gives http status code of 409.</p>
        capo_elasticsearch_service.errors.internal_exception.InternalException: <p>The request processing has failed because of an unknown error, exception or failure (the failure is internal to the service) . Gives http status code of 500.</p>
        capo_elasticsearch_service.errors.resource_not_found_exception.ResourceNotFoundException: <p>An exception for accessing or deleting a resource that does not exist. Gives http status code of 400.</p>
        capo_elasticsearch_service.errors.validation_exception.ValidationException: <p>An exception for missing / invalid input fields. Gives http status code of 400.</p>
        capo_elasticsearch_service.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_elasticsearch_service.types.get_upgrade_history_request.GetUpgradeHistoryRequest]",
    ) -> OperationResponse[
        "capo_elasticsearch_service.types.get_upgrade_history_response.GetUpgradeHistoryResponse"
    ]:
        import capo_elasticsearch_service._operations.amazon_elasticsearch_service2015.get_upgrade_history

        output, http_response = (
            capo_elasticsearch_service._operations.amazon_elasticsearch_service2015.get_upgrade_history.get_upgrade_history(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetUpgradeHistory")
    )
    input_: capo_elasticsearch_service.types.get_upgrade_history_request.GetUpgradeHistoryRequest = {
        "domain_name": domain_name
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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