Class: Aws::CostExplorer::Types::GetUsageForecastRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::CostExplorer::Types::GetUsageForecastRequest
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-costexplorer/types.rb
Overview
When making an API call, you may pass GetUsageForecastRequest data as a hash:
{
time_period: { # required
start: "YearMonthDay", # required
end: "YearMonthDay", # required
},
metric: "BLENDED_COST", # required, accepts BLENDED_COST, UNBLENDED_COST, AMORTIZED_COST, NET_UNBLENDED_COST, NET_AMORTIZED_COST, USAGE_QUANTITY, NORMALIZED_USAGE_AMOUNT
granularity: "DAILY", # required, accepts DAILY, MONTHLY, HOURLY
filter: {
or: [
{
# recursive Expression
},
],
and: [
{
# recursive Expression
},
],
not: {
# recursive Expression
},
dimensions: {
key: "AZ", # accepts AZ, INSTANCE_TYPE, LINKED_ACCOUNT, LINKED_ACCOUNT_NAME, OPERATION, PURCHASE_TYPE, REGION, SERVICE, SERVICE_CODE, USAGE_TYPE, USAGE_TYPE_GROUP, RECORD_TYPE, OPERATING_SYSTEM, TENANCY, SCOPE, PLATFORM, SUBSCRIPTION_ID, LEGAL_ENTITY_NAME, DEPLOYMENT_OPTION, DATABASE_ENGINE, CACHE_ENGINE, INSTANCE_TYPE_FAMILY, BILLING_ENTITY, RESERVATION_ID, RESOURCE_ID, RIGHTSIZING_TYPE, SAVINGS_PLANS_TYPE, SAVINGS_PLAN_ARN, PAYMENT_OPTION, AGREEMENT_END_DATE_TIME_AFTER, AGREEMENT_END_DATE_TIME_BEFORE
values: ["Value"],
match_options: ["EQUALS"], # accepts EQUALS, ABSENT, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE
},
tags: {
key: "TagKey",
values: ["Value"],
match_options: ["EQUALS"], # accepts EQUALS, ABSENT, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE
},
cost_categories: {
key: "CostCategoryName",
values: ["Value"],
match_options: ["EQUALS"], # accepts EQUALS, ABSENT, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE
},
},
prediction_interval_level: 1,
}
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#filter ⇒ Types::Expression
The filters that you want to use to filter your forecast.
-
#granularity ⇒ String
How granular you want the forecast to be.
-
#metric ⇒ String
Which metric Cost Explorer uses to create your forecast.
-
#prediction_interval_level ⇒ Integer
Cost Explorer always returns the mean forecast as a single point.
-
#time_period ⇒ Types::DateInterval
The start and end dates of the period that you want to retrieve usage forecast for.
Instance Attribute Details
#filter ⇒ Types::Expression
The filters that you want to use to filter your forecast. The ‘GetUsageForecast` API supports filtering by the following dimensions:
-
‘AZ`
-
‘INSTANCE_TYPE`
-
‘LINKED_ACCOUNT`
-
‘LINKED_ACCOUNT_NAME`
-
‘OPERATION`
-
‘PURCHASE_TYPE`
-
‘REGION`
-
‘SERVICE`
-
‘USAGE_TYPE`
-
‘USAGE_TYPE_GROUP`
-
‘RECORD_TYPE`
-
‘OPERATING_SYSTEM`
-
‘TENANCY`
-
‘SCOPE`
-
‘PLATFORM`
-
‘SUBSCRIPTION_ID`
-
‘LEGAL_ENTITY_NAME`
-
‘DEPLOYMENT_OPTION`
-
‘DATABASE_ENGINE`
-
‘INSTANCE_TYPE_FAMILY`
-
‘BILLING_ENTITY`
-
‘RESERVATION_ID`
-
‘SAVINGS_PLAN_ARN`
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# File 'lib/aws-sdk-costexplorer/types.rb', line 4869 class GetUsageForecastRequest < Struct.new( :time_period, :metric, :granularity, :filter, :prediction_interval_level) SENSITIVE = [] include Aws::Structure end |
#granularity ⇒ String
How granular you want the forecast to be. You can get 3 months of ‘DAILY` forecasts or 12 months of `MONTHLY` forecasts.
The ‘GetUsageForecast` operation supports only `DAILY` and `MONTHLY` granularities.
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# File 'lib/aws-sdk-costexplorer/types.rb', line 4869 class GetUsageForecastRequest < Struct.new( :time_period, :metric, :granularity, :filter, :prediction_interval_level) SENSITIVE = [] include Aws::Structure end |
#metric ⇒ String
Which metric Cost Explorer uses to create your forecast.
Valid values for a ‘GetUsageForecast` call are the following:
-
USAGE_QUANTITY
-
NORMALIZED_USAGE_AMOUNT
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# File 'lib/aws-sdk-costexplorer/types.rb', line 4869 class GetUsageForecastRequest < Struct.new( :time_period, :metric, :granularity, :filter, :prediction_interval_level) SENSITIVE = [] include Aws::Structure end |
#prediction_interval_level ⇒ Integer
Cost Explorer always returns the mean forecast as a single point. You can request a prediction interval around the mean by specifying a confidence level. The higher the confidence level, the more confident Cost Explorer is about the actual value falling in the prediction interval. Higher confidence levels result in wider prediction intervals.
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# File 'lib/aws-sdk-costexplorer/types.rb', line 4869 class GetUsageForecastRequest < Struct.new( :time_period, :metric, :granularity, :filter, :prediction_interval_level) SENSITIVE = [] include Aws::Structure end |
#time_period ⇒ Types::DateInterval
The start and end dates of the period that you want to retrieve usage forecast for. The start date is inclusive, but the end date is exclusive. For example, if ‘start` is `2017-01-01` and `end` is `2017-05-01`, then the cost and usage data is retrieved from `2017-01-01` up to and including `2017-04-30` but not including `2017-05-01`. The start date must be equal to or later than the current date to avoid a validation error.
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# File 'lib/aws-sdk-costexplorer/types.rb', line 4869 class GetUsageForecastRequest < Struct.new( :time_period, :metric, :granularity, :filter, :prediction_interval_level) SENSITIVE = [] include Aws::Structure end |