Uses of Class
com.amazonaws.services.pi.model.MetricKeyDataPoints

Packages that use MetricKeyDataPoints

Package	Description
com.amazonaws.services.pi.model

Uses of MetricKeyDataPoints in com.amazonaws.services.pi.model

Methods in com.amazonaws.services.pi.model that return MetricKeyDataPoints

Modifier and Type	Method and Description
MetricKeyDataPoints	MetricKeyDataPoints.clone()
MetricKeyDataPoints	MetricKeyDataPoints.withDataPoints(Collection<DataPoint> dataPoints) An array of timestamp-value pairs, representing measurements over a period of time.
MetricKeyDataPoints	MetricKeyDataPoints.withDataPoints(DataPoint... dataPoints) An array of timestamp-value pairs, representing measurements over a period of time.
MetricKeyDataPoints	MetricKeyDataPoints.withKey(ResponseResourceMetricKey key) The dimension(s) to which the data points apply.

Methods in com.amazonaws.services.pi.model that return types with arguments of type MetricKeyDataPoints

Modifier and Type	Method and Description
List<MetricKeyDataPoints>	GetResourceMetricsResult.getMetricList() An array of metric results,, where each array element contains all of the data points for a particular dimension.

Methods in com.amazonaws.services.pi.model with parameters of type MetricKeyDataPoints

Modifier and Type	Method and Description
GetResourceMetricsResult	GetResourceMetricsResult.withMetricList(MetricKeyDataPoints... metricList) An array of metric results,, where each array element contains all of the data points for a particular dimension.

Method parameters in com.amazonaws.services.pi.model with type arguments of type MetricKeyDataPoints

Modifier and Type	Method and Description
void	GetResourceMetricsResult.setMetricList(Collection<MetricKeyDataPoints> metricList) An array of metric results,, where each array element contains all of the data points for a particular dimension.
GetResourceMetricsResult	GetResourceMetricsResult.withMetricList(Collection<MetricKeyDataPoints> metricList) An array of metric results,, where each array element contains all of the data points for a particular dimension.