Struct aws_sdk_autoscaling::operation::get_predictive_scaling_forecast::builders::GetPredictiveScalingForecastInputBuilder

#[non_exhaustive]
pub struct GetPredictiveScalingForecastInputBuilder { /* private fields */ }

A builder for GetPredictiveScalingForecastInput.

Implementations

impl GetPredictiveScalingForecastInputBuilder

pub fn auto_scaling_group_name(self, input: impl Into<String>) -> Self

The name of the Auto Scaling group.

This field is required.

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

The name of the Auto Scaling group.

pub fn get_auto_scaling_group_name(&self) -> &Option<String>

The name of the Auto Scaling group.

pub fn policy_name(self, input: impl Into<String>) -> Self

The name of the policy.

This field is required.

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

The name of the policy.

pub fn get_policy_name(&self) -> &Option<String>

The name of the policy.

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

The inclusive start time of the time range for the forecast data to get. At most, the date and time can be one year before the current date and time.

This field is required.

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

The inclusive start time of the time range for the forecast data to get. At most, the date and time can be one year before the current date and time.

pub fn get_start_time(&self) -> &Option<DateTime>

The inclusive start time of the time range for the forecast data to get. At most, the date and time can be one year before the current date and time.

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

The exclusive end time of the time range for the forecast data to get. The maximum time duration between the start and end time is 30 days.

Although this parameter can accept a date and time that is more than two days in the future, the availability of forecast data has limits. Amazon EC2 Auto Scaling only issues forecasts for periods of two days in advance.

This field is required.

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

The exclusive end time of the time range for the forecast data to get. The maximum time duration between the start and end time is 30 days.

Although this parameter can accept a date and time that is more than two days in the future, the availability of forecast data has limits. Amazon EC2 Auto Scaling only issues forecasts for periods of two days in advance.

pub fn get_end_time(&self) -> &Option<DateTime>

The exclusive end time of the time range for the forecast data to get. The maximum time duration between the start and end time is 30 days.

Although this parameter can accept a date and time that is more than two days in the future, the availability of forecast data has limits. Amazon EC2 Auto Scaling only issues forecasts for periods of two days in advance.

pub fn build(self) -> Result<GetPredictiveScalingForecastInput, BuildError>

Consumes the builder and constructs a GetPredictiveScalingForecastInput.

impl GetPredictiveScalingForecastInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<GetPredictiveScalingForecastOutput, SdkError<GetPredictiveScalingForecastError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for GetPredictiveScalingForecastInputBuilder

fn clone(&self) -> GetPredictiveScalingForecastInputBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GetPredictiveScalingForecastInputBuilder

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

Formats the value using the given formatter.

impl Default for GetPredictiveScalingForecastInputBuilder

fn default() -> GetPredictiveScalingForecastInputBuilder

Returns the “default value” for a type.

impl PartialEq for GetPredictiveScalingForecastInputBuilder

fn eq(&self, other: &GetPredictiveScalingForecastInputBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for GetPredictiveScalingForecastInputBuilder