Class: Aws::ApplicationAutoScaling::Types::PredictiveScalingMetricDataQuery
- Inherits:
-
Struct
- Object
- Struct
- Aws::ApplicationAutoScaling::Types::PredictiveScalingMetricDataQuery
- Includes:
- Structure
- Defined in:
- 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 '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 '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 '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.
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# File '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`).
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# File 'lib/aws-sdk-applicationautoscaling/types.rb', line 2013 class PredictiveScalingMetricDataQuery < Struct.new( :id, :expression, :metric_stat, :label, :return_data) SENSITIVE = [] include Aws::Structure end |