Class: Google::Cloud::CapacityPlanner::V1beta::UsageHistory

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/capacityplanner/v1beta/usage_service.rb

Overview

A collection of data points that describes the historical time-varying values of a resource.

Defined Under Namespace

Modules: AggregationMethod

Instance Attribute Summary collapse

Instance Attribute Details

#aggregation_method ⇒ ::Google::Cloud::CapacityPlanner::V1beta::UsageHistory::AggregationMethod

Returns Method used to convert sampled usage data to time series values.

Returns:



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# File 'proto_docs/google/cloud/capacityplanner/v1beta/usage_service.rb', line 405

class UsageHistory
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Methods for converting sampled data to time series values.
  module AggregationMethod
    # No aggregation method is specified.
    AGGREGATION_METHOD_UNSPECIFIED = 0

    MEDIAN = 1

    # Time series values represent the 99th percentile of the sampled values.
    PEAK = 2

    # Time series values represent the 50th(median) percentile of the sampled
    # values.
    P50 = 3

    # Time series values represent the 75th percentile of the sampled values.
    P75 = 4

    # Time series values represent the 99th percentile of the sampled values.
    P99 = 5
  end
end

#time_series ⇒ ::Google::Cloud::CapacityPlanner::V1beta::TimeSeries

Returns The collection of data points that represent the historical values.

Returns:



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# File 'proto_docs/google/cloud/capacityplanner/v1beta/usage_service.rb', line 405

class UsageHistory
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Methods for converting sampled data to time series values.
  module AggregationMethod
    # No aggregation method is specified.
    AGGREGATION_METHOD_UNSPECIFIED = 0

    MEDIAN = 1

    # Time series values represent the 99th percentile of the sampled values.
    PEAK = 2

    # Time series values represent the 50th(median) percentile of the sampled
    # values.
    P50 = 3

    # Time series values represent the 75th percentile of the sampled values.
    P75 = 4

    # Time series values represent the 99th percentile of the sampled values.
    P99 = 5
  end
end