Struct aws_sdk_lightsail::client::fluent_builders::GetBucketMetricData

pub struct GetBucketMetricData<C = DynConnector, M = AwsMiddleware, R = Standard> { /* fields omitted */ }

Fluent builder constructing a request to GetBucketMetricData.

Returns the data points of a specific metric for an Amazon Lightsail bucket.

Metrics report the utilization of a bucket. View and collect metric data regularly to monitor the number of objects stored in a bucket (including object versions) and the storage space used by those objects.

Implementations

impl<C, M, R> GetBucketMetricData<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub async fn send(
    self
) -> Result<GetBucketMetricDataOutput, SdkError<GetBucketMetricDataError>> where
    R::Policy: SmithyRetryPolicy<GetBucketMetricDataInputOperationOutputAlias, GetBucketMetricDataOutput, GetBucketMetricDataError, GetBucketMetricDataInputOperationRetryAlias>, 

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn bucket_name(self, inp: impl Into<String>) -> Self

The name of the bucket for which to get metric data.

pub fn set_bucket_name(self, input: Option<String>) -> Self

The name of the bucket for which to get metric data.

pub fn metric_name(self, inp: BucketMetricName) -> Self

The metric for which you want to return information.

Valid bucket metric names are listed below, along with the most useful statistics to include in your request, and the published unit value.

These bucket metrics are reported once per day.

• BucketSizeBytes - The amount of data in bytes stored in a bucket. This value is calculated by summing the size of all objects in the bucket (including object versions), including the size of all parts for all incomplete multipart uploads to the bucket.

  Statistics: The most useful statistic is Maximum.

  Unit: The published unit is Bytes.

• NumberOfObjects - The total number of objects stored in a bucket. This value is calculated by counting all objects in the bucket (including object versions) and the total number of parts for all incomplete multipart uploads to the bucket.

  Statistics: The most useful statistic is Average.

  Unit: The published unit is Count.

pub fn set_metric_name(self, input: Option<BucketMetricName>) -> Self

The metric for which you want to return information.

Valid bucket metric names are listed below, along with the most useful statistics to include in your request, and the published unit value.

These bucket metrics are reported once per day.

• BucketSizeBytes - The amount of data in bytes stored in a bucket. This value is calculated by summing the size of all objects in the bucket (including object versions), including the size of all parts for all incomplete multipart uploads to the bucket.

  Statistics: The most useful statistic is Maximum.

  Unit: The published unit is Bytes.

• NumberOfObjects - The total number of objects stored in a bucket. This value is calculated by counting all objects in the bucket (including object versions) and the total number of parts for all incomplete multipart uploads to the bucket.

  Statistics: The most useful statistic is Average.

  Unit: The published unit is Count.

pub fn start_time(self, inp: DateTime) -> Self

The timestamp indicating the earliest data to be returned.

pub fn set_start_time(self, input: Option<DateTime>) -> Self

The timestamp indicating the earliest data to be returned.

pub fn end_time(self, inp: DateTime) -> Self

The timestamp indicating the latest data to be returned.

pub fn set_end_time(self, input: Option<DateTime>) -> Self

The timestamp indicating the latest data to be returned.

pub fn period(self, inp: i32) -> Self

The granularity, in seconds, of the returned data points.

Bucket storage metrics are reported once per day. Therefore, you should specify a period of 86400 seconds, which is the number of seconds in a day.

pub fn set_period(self, input: Option<i32>) -> Self

The granularity, in seconds, of the returned data points.

Bucket storage metrics are reported once per day. Therefore, you should specify a period of 86400 seconds, which is the number of seconds in a day.

pub fn statistics(self, inp: impl Into<MetricStatistic>) -> Self

Appends an item to statistics.

To override the contents of this collection use set_statistics.

The statistic for the metric.

The following statistics are available:

• Minimum - The lowest value observed during the specified period. Use this value to determine low volumes of activity for your application.

• Maximum - The highest value observed during the specified period. Use this value to determine high volumes of activity for your application.

• Sum - The sum of all values submitted for the matching metric. You can use this statistic to determine the total volume of a metric.

• Average - 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.

• SampleCount - The count, or number, of data points used for the statistical calculation.

pub fn set_statistics(self, input: Option<Vec<MetricStatistic>>) -> Self

The statistic for the metric.

The following statistics are available:

• Minimum - The lowest value observed during the specified period. Use this value to determine low volumes of activity for your application.

• Maximum - The highest value observed during the specified period. Use this value to determine high volumes of activity for your application.

• Sum - The sum of all values submitted for the matching metric. You can use this statistic to determine the total volume of a metric.

• Average - 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.

• SampleCount - The count, or number, of data points used for the statistical calculation.

pub fn unit(self, inp: MetricUnit) -> Self

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 metricName parameter.

pub fn set_unit(self, input: Option<MetricUnit>) -> Self

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 metricName parameter.

Trait Implementations

impl<C: Debug, M: Debug, R: Debug> Debug for GetBucketMetricData<C, M, R>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.