get_relational_database_metric_data async ¶

async def get_relational_database_metric_data(
    self,
    relational_database_name: "capo_lightsail.types.resource_name.ResourceName",
    metric_name: "capo_lightsail.types.relational_database_metric_name.RelationalDatabaseMetricName",
    period: "capo_lightsail.types.metric_period.MetricPeriod",
    start_time: "capo_lightsail.types.iso_date.IsoDate",
    end_time: "capo_lightsail.types.iso_date.IsoDate",
    unit: "capo_lightsail.types.metric_unit.MetricUnit",
    statistics: "capo_lightsail.types.metric_statistic_list.MetricStatisticList",
    *,
    config_overrides: Optional[AsyncLightsailClientConfig] = None,
) -> "capo_lightsail.types.get_relational_database_metric_data_result.GetRelationalDatabaseMetricDataResult":
    """<p>Returns the data points of the specified metric for a database in Amazon Lightsail.</p> <p>Metrics report the utilization of your resources, and the error counts generated by them. Monitor and collect metric data regularly to maintain the reliability, availability, and performance of your resources.</p>

    Args:
        relational_database_name: <p>The name of your database from which to get metric data.</p>
        metric_name: <p>The metric for which you want to return information.</p> <p>Valid relational database metric names are listed below, along with the most useful <code>statistics</code> to include in your request, and the published <code>unit</code> value. All relational database metric data is available in 1-minute (60 seconds) granularity.</p> <ul> <li> <p> <b> <code>CPUUtilization</code> </b> - The percentage of CPU utilization currently in use on the database.</p> <p> <code>Statistics</code>: The most useful statistics are <code>Maximum</code> and <code>Average</code>.</p> <p> <code>Unit</code>: The published unit is <code>Percent</code>.</p> </li> <li> <p> <b> <code>DatabaseConnections</code> </b> - The number of database connections in use.</p> <p> <code>Statistics</code>: The most useful statistics are <code>Maximum</code> and <code>Sum</code>.</p> <p> <code>Unit</code>: The published unit is <code>Count</code>.</p> </li> <li> <p> <b> <code>DiskQueueDepth</code> </b> - The number of outstanding IOs (read/write requests) that are waiting to access the disk.</p> <p> <code>Statistics</code>: The most useful statistic is <code>Sum</code>.</p> <p> <code>Unit</code>: The published unit is <code>Count</code>.</p> </li> <li> <p> <b> <code>FreeStorageSpace</code> </b> - The amount of available storage space.</p> <p> <code>Statistics</code>: The most useful statistic is <code>Sum</code>.</p> <p> <code>Unit</code>: The published unit is <code>Bytes</code>.</p> </li> <li> <p> <b> <code>NetworkReceiveThroughput</code> </b> - The incoming (Receive) network traffic on the database, including both customer database traffic and AWS traffic used for monitoring and replication.</p> <p> <code>Statistics</code>: The most useful statistic is <code>Average</code>.</p> <p> <code>Unit</code>: The published unit is <code>Bytes/Second</code>.</p> </li> <li> <p> <b> <code>NetworkTransmitThroughput</code> </b> - The outgoing (Transmit) network traffic on the database, including both customer database traffic and AWS traffic used for monitoring and replication.</p> <p> <code>Statistics</code>: The most useful statistic is <code>Average</code>.</p> <p> <code>Unit</code>: The published unit is <code>Bytes/Second</code>.</p> </li> </ul>
        period: <p>The granularity, in seconds, of the returned data points.</p> <p>All relational database metric data is available in 1-minute (60 seconds) granularity.</p>
        start_time: <p>The start of the time interval from which to get metric data.</p> <p>Constraints:</p> <ul> <li> <p>Specified in Coordinated Universal Time (UTC).</p> </li> <li> <p>Specified in the Unix time format.</p> <p>For example, if you wish to use a start time of October 1, 2018, at 8 PM UTC, then you input <code>1538424000</code> as the start time.</p> </li> </ul>
        end_time: <p>The end of the time interval from which to get metric data.</p> <p>Constraints:</p> <ul> <li> <p>Specified in Coordinated Universal Time (UTC).</p> </li> <li> <p>Specified in the Unix time format.</p> <p>For example, if you wish to use an end time of October 1, 2018, at 8 PM UTC, then you input <code>1538424000</code> as the end time.</p> </li> </ul>
        unit: <p>The unit for the metric data request. Valid units depend on the metric data being requested. For the valid units with each available metric, see the <code>metricName</code> parameter.</p>
        statistics: <p>The statistic for the metric.</p> <p>The following statistics are available:</p> <ul> <li> <p> <code>Minimum</code> - The lowest value observed during the specified period. Use this value to determine low volumes of activity for your application.</p> </li> <li> <p> <code>Maximum</code> - The highest value observed during the specified period. Use this value to determine high volumes of activity for your application.</p> </li> <li> <p> <code>Sum</code> - All values submitted for the matching metric added together. You can use this statistic to determine the total volume of a metric.</p> </li> <li> <p> <code>Average</code> - The value of Sum / SampleCount during the specified period. By comparing this statistic with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your resources.</p> </li> <li> <p> <code>SampleCount</code> - The count, or number, of data points used for the statistical calculation.</p> </li> </ul>

    Raises:
        capo_lightsail.errors.access_denied_exception.AccessDeniedException: <p>Lightsail throws this exception when the user cannot be authenticated or uses invalid credentials to access a resource.</p>
        capo_lightsail.errors.account_setup_in_progress_exception.AccountSetupInProgressException: <p>Lightsail throws this exception when an account is still in the setup in progress state.</p>
        capo_lightsail.errors.invalid_input_exception.InvalidInputException: <p>Lightsail throws this exception when user input does not conform to the validation rules of an input field.</p> <note> <p>Domain and distribution APIs are only available in the N. Virginia (<code>us-east-1</code>) Amazon Web Services Region. Please set your Amazon Web Services Region configuration to <code>us-east-1</code> to create, view, or edit these resources.</p> </note>
        capo_lightsail.errors.not_found_exception.NotFoundException: <p>Lightsail throws this exception when it cannot find a resource.</p>
        capo_lightsail.errors.operation_failure_exception.OperationFailureException: <p>Lightsail throws this exception when an operation fails to execute.</p>
        capo_lightsail.errors.region_setup_in_progress_exception.RegionSetupInProgressException: <p>Lightsail throws this exception when an operation is performed on resources in an opt-in Region that is currently being set up.</p>
        capo_lightsail.errors.service_exception.ServiceException: <p>A general service exception.</p>
        capo_lightsail.errors.unauthenticated_exception.UnauthenticatedException: <p>Lightsail throws this exception when the user has not been authenticated.</p>
        capo_lightsail.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_lightsail.types.get_relational_database_metric_data_request.GetRelationalDatabaseMetricDataRequest]",
    ) -> AsyncOperationResponse[
        "capo_lightsail.types.get_relational_database_metric_data_result.GetRelationalDatabaseMetricDataResult"
    ]:
        import capo_lightsail._operations.lightsail_20161128.get_relational_database_metric_data

        (
            output,
            http_response,
        ) = await capo_lightsail._operations.lightsail_20161128.get_relational_database_metric_data.async_get_relational_database_metric_data(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetRelationalDatabaseMetricData")
    )
    input_: capo_lightsail.types.get_relational_database_metric_data_request.GetRelationalDatabaseMetricDataRequest = {
        "relational_database_name": relational_database_name,
        "metric_name": metric_name,
        "period": period,
        "start_time": start_time,
        "end_time": end_time,
        "unit": unit,
        "statistics": statistics,
    }

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