pub struct Builder { /* private fields */ }Expand description
A builder for AutoScalingGroupRecommendation.
Implementations§
source§impl Builder
impl Builder
sourcepub fn account_id(self, input: impl Into<String>) -> Self
pub fn account_id(self, input: impl Into<String>) -> Self
The Amazon Web Services account ID of the Auto Scaling group.
sourcepub fn set_account_id(self, input: Option<String>) -> Self
pub fn set_account_id(self, input: Option<String>) -> Self
The Amazon Web Services account ID of the Auto Scaling group.
Examples found in repository?
src/json_deser.rs (lines 2029-2035)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn auto_scaling_group_arn(self, input: impl Into<String>) -> Self
pub fn auto_scaling_group_arn(self, input: impl Into<String>) -> Self
The Amazon Resource Name (ARN) of the Auto Scaling group.
sourcepub fn set_auto_scaling_group_arn(self, input: Option<String>) -> Self
pub fn set_auto_scaling_group_arn(self, input: Option<String>) -> Self
The Amazon Resource Name (ARN) of the Auto Scaling group.
Examples found in repository?
src/json_deser.rs (lines 2038-2044)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn auto_scaling_group_name(self, input: impl Into<String>) -> Self
pub fn auto_scaling_group_name(self, input: impl Into<String>) -> Self
The name of the Auto Scaling group.
sourcepub fn set_auto_scaling_group_name(self, input: Option<String>) -> Self
pub fn set_auto_scaling_group_name(self, input: Option<String>) -> Self
The name of the Auto Scaling group.
Examples found in repository?
src/json_deser.rs (lines 2047-2053)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn finding(self, input: Finding) -> Self
pub fn finding(self, input: Finding) -> Self
The finding classification of the Auto Scaling group.
Findings for Auto Scaling groups include:
-
NotOptimized—An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload. -
Optimized—An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
sourcepub fn set_finding(self, input: Option<Finding>) -> Self
pub fn set_finding(self, input: Option<Finding>) -> Self
The finding classification of the Auto Scaling group.
Findings for Auto Scaling groups include:
-
NotOptimized—An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload. -
Optimized—An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
Examples found in repository?
src/json_deser.rs (lines 2056-2065)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn utilization_metrics(self, input: UtilizationMetric) -> Self
pub fn utilization_metrics(self, input: UtilizationMetric) -> Self
Appends an item to utilization_metrics.
To override the contents of this collection use set_utilization_metrics.
An array of objects that describe the utilization metrics of the Auto Scaling group.
sourcepub fn set_utilization_metrics(
self,
input: Option<Vec<UtilizationMetric>>
) -> Self
pub fn set_utilization_metrics(
self,
input: Option<Vec<UtilizationMetric>>
) -> Self
An array of objects that describe the utilization metrics of the Auto Scaling group.
Examples found in repository?
src/json_deser.rs (lines 2068-2070)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn look_back_period_in_days(self, input: f64) -> Self
pub fn look_back_period_in_days(self, input: f64) -> Self
The number of days for which utilization metrics were analyzed for the Auto Scaling group.
sourcepub fn set_look_back_period_in_days(self, input: Option<f64>) -> Self
pub fn set_look_back_period_in_days(self, input: Option<f64>) -> Self
The number of days for which utilization metrics were analyzed for the Auto Scaling group.
Examples found in repository?
src/json_deser.rs (lines 2073-2078)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn current_configuration(self, input: AutoScalingGroupConfiguration) -> Self
pub fn current_configuration(self, input: AutoScalingGroupConfiguration) -> Self
An array of objects that describe the current configuration of the Auto Scaling group.
sourcepub fn set_current_configuration(
self,
input: Option<AutoScalingGroupConfiguration>
) -> Self
pub fn set_current_configuration(
self,
input: Option<AutoScalingGroupConfiguration>
) -> Self
An array of objects that describe the current configuration of the Auto Scaling group.
Examples found in repository?
src/json_deser.rs (lines 2081-2083)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn recommendation_options(
self,
input: AutoScalingGroupRecommendationOption
) -> Self
pub fn recommendation_options(
self,
input: AutoScalingGroupRecommendationOption
) -> Self
Appends an item to recommendation_options.
To override the contents of this collection use set_recommendation_options.
An array of objects that describe the recommendation options for the Auto Scaling group.
sourcepub fn set_recommendation_options(
self,
input: Option<Vec<AutoScalingGroupRecommendationOption>>
) -> Self
pub fn set_recommendation_options(
self,
input: Option<Vec<AutoScalingGroupRecommendationOption>>
) -> Self
An array of objects that describe the recommendation options for the Auto Scaling group.
Examples found in repository?
src/json_deser.rs (lines 2086-2088)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn last_refresh_timestamp(self, input: DateTime) -> Self
pub fn last_refresh_timestamp(self, input: DateTime) -> Self
The timestamp of when the Auto Scaling group recommendation was last generated.
sourcepub fn set_last_refresh_timestamp(self, input: Option<DateTime>) -> Self
pub fn set_last_refresh_timestamp(self, input: Option<DateTime>) -> Self
The timestamp of when the Auto Scaling group recommendation was last generated.
Examples found in repository?
src/json_deser.rs (lines 2091-2096)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn current_performance_risk(self, input: CurrentPerformanceRisk) -> Self
pub fn current_performance_risk(self, input: CurrentPerformanceRisk) -> Self
The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
sourcepub fn set_current_performance_risk(
self,
input: Option<CurrentPerformanceRisk>
) -> Self
pub fn set_current_performance_risk(
self,
input: Option<CurrentPerformanceRisk>
) -> Self
The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
Examples found in repository?
src/json_deser.rs (lines 2099-2109)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn effective_recommendation_preferences(
self,
input: EffectiveRecommendationPreferences
) -> Self
pub fn effective_recommendation_preferences(
self,
input: EffectiveRecommendationPreferences
) -> Self
An object that describes the effective recommendation preferences for the Auto Scaling group.
sourcepub fn set_effective_recommendation_preferences(
self,
input: Option<EffectiveRecommendationPreferences>
) -> Self
pub fn set_effective_recommendation_preferences(
self,
input: Option<EffectiveRecommendationPreferences>
) -> Self
An object that describes the effective recommendation preferences for the Auto Scaling group.
Examples found in repository?
src/json_deser.rs (lines 2112-2114)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn inferred_workload_types(self, input: InferredWorkloadType) -> Self
pub fn inferred_workload_types(self, input: InferredWorkloadType) -> Self
Appends an item to inferred_workload_types.
To override the contents of this collection use set_inferred_workload_types.
The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
Compute Optimizer can infer if one of the following applications might be running on the instances:
-
AmazonEmr- Infers that Amazon EMR might be running on the instances. -
ApacheCassandra- Infers that Apache Cassandra might be running on the instances. -
ApacheHadoop- Infers that Apache Hadoop might be running on the instances. -
Memcached- Infers that Memcached might be running on the instances. -
NGINX- Infers that NGINX might be running on the instances. -
PostgreSql- Infers that PostgreSQL might be running on the instances. -
Redis- Infers that Redis might be running on the instances.
sourcepub fn set_inferred_workload_types(
self,
input: Option<Vec<InferredWorkloadType>>
) -> Self
pub fn set_inferred_workload_types(
self,
input: Option<Vec<InferredWorkloadType>>
) -> Self
The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
Compute Optimizer can infer if one of the following applications might be running on the instances:
-
AmazonEmr- Infers that Amazon EMR might be running on the instances. -
ApacheCassandra- Infers that Apache Cassandra might be running on the instances. -
ApacheHadoop- Infers that Apache Hadoop might be running on the instances. -
Memcached- Infers that Memcached might be running on the instances. -
NGINX- Infers that NGINX might be running on the instances. -
PostgreSql- Infers that PostgreSQL might be running on the instances. -
Redis- Infers that Redis might be running on the instances.
Examples found in repository?
src/json_deser.rs (lines 2117-2119)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn build(self) -> AutoScalingGroupRecommendation
pub fn build(self) -> AutoScalingGroupRecommendation
Consumes the builder and constructs a AutoScalingGroupRecommendation.
Examples found in repository?
src/json_deser.rs (line 2134)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendation>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder = crate::model::auto_scaling_group_recommendation::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"accountId" => {
builder = builder.set_account_id(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupArn" => {
builder = builder.set_auto_scaling_group_arn(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"autoScalingGroupName" => {
builder = builder.set_auto_scaling_group_name(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| s.to_unescaped().map(|u| u.into_owned()))
.transpose()?,
);
}
"finding" => {
builder = builder.set_finding(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped()
.map(|u| crate::model::Finding::from(u.as_ref()))
})
.transpose()?,
);
}
"utilizationMetrics" => {
builder = builder.set_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_utilization_metrics(tokens)?
);
}
"lookBackPeriodInDays" => {
builder = builder.set_look_back_period_in_days(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"currentConfiguration" => {
builder = builder.set_current_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"recommendationOptions" => {
builder = builder.set_recommendation_options(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_auto_scaling_group_recommendation_options(tokens)?
);
}
"lastRefreshTimestamp" => {
builder = builder.set_last_refresh_timestamp(
aws_smithy_json::deserialize::token::expect_timestamp_or_null(
tokens.next(),
aws_smithy_types::date_time::Format::EpochSeconds,
)?,
);
}
"currentPerformanceRisk" => {
builder = builder.set_current_performance_risk(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::CurrentPerformanceRisk::from(u.as_ref())
})
})
.transpose()?,
);
}
"effectiveRecommendationPreferences" => {
builder = builder.set_effective_recommendation_preferences(
crate::json_deser::deser_structure_crate_model_effective_recommendation_preferences(tokens)?
);
}
"inferredWorkloadTypes" => {
builder = builder.set_inferred_workload_types(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_inferred_workload_types(tokens)?
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}