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Class: Aws::CostExplorer::Types::Expression

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing Expression as input to an Aws::Client method, you can use a vanilla Hash:

{
  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
    values: ["Value"],
    match_options: ["EQUALS"], # accepts EQUALS, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE
  },
  tags: {
    key: "TagKey",
    values: ["Value"],
    match_options: ["EQUALS"], # accepts EQUALS, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE
  },
  cost_categories: {
    key: "CostCategoryName",
    values: ["Value"],
    match_options: ["EQUALS"], # accepts EQUALS, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE
  },
}

Use Expression to filter by cost or by usage. There are two patterns:

  • Simple dimension values - You can set the dimension name and values for the filters that you plan to use. For example, you can filter for REGION==us-east-1 OR REGION==us-west-1. For GetRightsizingRecommendation, the Region is a full name (for example, REGION==US East (N. Virginia). The Expression example looks like:

    { "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", “us-west-1” ] } }

    The list of dimension values are OR'd together to retrieve cost or usage data. You can create Expression and DimensionValues objects using either with methods or set methods in multiple lines.

  • Compound dimension values with logical operations - You can use multiple Expression types and the logical operators AND/OR/NOT to create a list of one or more Expression objects. This allows you to filter on more advanced options. For example, you can filter on ((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer). The Expression for that looks like this:

    { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

    Because each Expression can have only one operator, the service returns an error if more than one is specified. The following example shows an Expression object that creates an error.

    { "And": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }

For GetRightsizingRecommendation action, a combination of OR and NOT is not supported. OR is not supported between different dimensions, or dimensions and tags. NOT operators aren't supported. Dimensions are also limited to LINKED_ACCOUNT, REGION, or RIGHTSIZING_TYPE.

Returned by:

Instance Attribute Summary collapse

Instance Attribute Details

#andArray<Types::Expression>

Return results that match both Dimension objects.

Returns:

#cost_categoriesTypes::CostCategoryValues

The filter based on CostCategory values.

Returns:

#dimensionsTypes::DimensionValues

The specific Dimension to use for Expression.

Returns:

#notTypes::Expression

Return results that don\'t match a Dimension object.

Returns:

#orArray<Types::Expression>

Return results that match either Dimension object.

Returns:

#tagsTypes::TagValues

The specific Tag to use for Expression.

Returns: