Class: Aws::ApplicationAutoScaling::Types::PredictiveScalingMetricDataQuery
- Inherits:
-
Struct
- Object
- Struct
- Aws::ApplicationAutoScaling::Types::PredictiveScalingMetricDataQuery
- Defined in:
- gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/types.rb
Overview
The metric data to return. Also defines whether this call is returning data for one metric only, or whether it is performing a math expression on the values of returned metric statistics to create a new time series. A time series is a series of data points, each of which is associated with a timestamp.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#expression ⇒ String
The math expression to perform on the returned data, if this object is performing a math expression.
-
#id ⇒ String
A short name that identifies the object's results in the response.
-
#label ⇒ String
A human-readable label for this metric or expression.
-
#metric_stat ⇒ Types::PredictiveScalingMetricStat
Information about the metric data to return.
-
#return_data ⇒ Boolean
Indicates whether to return the timestamps and raw data values of this metric.
Instance Attribute Details
#expression ⇒ String
The math expression to perform on the returned data, if this object
is performing a math expression. This expression can use the Id
of
the other metrics to refer to those metrics, and can also use the
Id
of other expressions to use the result of those expressions.
Conditional: Within each MetricDataQuery
object, you must specify
either Expression
or MetricStat
, but not both.
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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/types.rb', line 2013 class PredictiveScalingMetricDataQuery < Struct.new( :id, :expression, :metric_stat, :label, :return_data) SENSITIVE = [] include Aws::Structure end |
#id ⇒ String
A short name that identifies the object's results in the response.
This name must be unique among all MetricDataQuery
objects
specified for a single scaling policy. If you are performing math
expressions on this set of data, this name represents that data and
can serve as a variable in the mathematical expression. The valid
characters are letters, numbers, and underscores. The first
character must be a lowercase letter.
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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/types.rb', line 2013 class PredictiveScalingMetricDataQuery < Struct.new( :id, :expression, :metric_stat, :label, :return_data) SENSITIVE = [] include Aws::Structure end |
#label ⇒ String
A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/types.rb', line 2013 class PredictiveScalingMetricDataQuery < Struct.new( :id, :expression, :metric_stat, :label, :return_data) SENSITIVE = [] include Aws::Structure end |
#metric_stat ⇒ Types::PredictiveScalingMetricStat
Information about the metric data to return.
Conditional: Within each MetricDataQuery
object, you must specify
either Expression
or MetricStat
, but not both.
2013 2014 2015 2016 2017 2018 2019 2020 2021 |
# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/types.rb', line 2013 class PredictiveScalingMetricDataQuery < Struct.new( :id, :expression, :metric_stat, :label, :return_data) SENSITIVE = [] include Aws::Structure end |
#return_data ⇒ Boolean
Indicates whether to return the timestamps and raw data values of this metric.
If you use any math expressions, specify true
for this value for
only the final math expression that the metric specification is
based on. You must specify false
for ReturnData
for all the
other metrics and expressions used in the metric specification.
If you are only retrieving metrics and not performing any math
expressions, do not specify anything for ReturnData
. This sets it
to its default (true
).
2013 2014 2015 2016 2017 2018 2019 2020 2021 |
# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/types.rb', line 2013 class PredictiveScalingMetricDataQuery < Struct.new( :id, :expression, :metric_stat, :label, :return_data) SENSITIVE = [] include Aws::Structure end |