[ aws . ce ]

get-dimension-values

Description

Retrieves all available filter values for a specified filter over a period of time. You can search the dimension values for an arbitrary string.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  get-dimension-values
[--search-string <value>]
--time-period <value>
--dimension <value>
[--context <value>]
[--filter <value>]
[--sort-by <value>]
[--max-results <value>]
[--next-page-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--search-string (string)

The value that you want to search the filter values for.

--time-period (structure)

The start date and end date for retrieving the dimension values. 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 .

Start -> (string)

The beginning of the time period. The start date is inclusive. For example, if start is 2017-01-01 , Amazon Web Services retrieves cost and usage data starting at 2017-01-01 up to the end date. The start date must be equal to or no later than the current date to avoid a validation error.

End -> (string)

The end of the time period. The end date is exclusive. For example, if end is 2017-05-01 , Amazon Web Services retrieves cost and usage data from the start date up to, but not including, 2017-05-01 .

Shorthand Syntax:

Start=string,End=string

JSON Syntax:

{
  "Start": "string",
  "End": "string"
}

--dimension (string)

The name of the dimension. Each Dimension is available for a different Context . For more information, see Context .

Possible values:

• 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

• INVOICING_ENTITY

--context (string)

The context for the call to GetDimensionValues . This can be RESERVATIONS or COST_AND_USAGE . The default value is COST_AND_USAGE . If the context is set to RESERVATIONS , the resulting dimension values can be used in the GetReservationUtilization operation. If the context is set to COST_AND_USAGE , the resulting dimension values can be used in the GetCostAndUsage operation.

If you set the context to COST_AND_USAGE , you can use the following dimensions for searching:

• AZ - The Availability Zone. An example is us-east-1a .

• BILLING_ENTITY - The Amazon Web Services seller that your account is with. Possible values are the following: - Amazon Web Services(Amazon Web Services): The entity that sells Amazon Web Services. - AISPL (Amazon Internet Services Pvt. Ltd.): The local Indian entity that’s an acting reseller for Amazon Web Services in India. - Amazon Web Services Marketplace: The entity that supports the sale of solutions that are built on Amazon Web Services by third-party software providers.

• CACHE_ENGINE - The Amazon ElastiCache operating system. Examples are Windows or Linux.

• DEPLOYMENT_OPTION - The scope of Amazon Relational Database Service deployments. Valid values are SingleAZ and MultiAZ .

• DATABASE_ENGINE - The Amazon Relational Database Service database. Examples are Aurora or MySQL.

• INSTANCE_TYPE - The type of Amazon EC2 instance. An example is m4.xlarge .

• INSTANCE_TYPE_FAMILY - A family of instance types optimized to fit different use cases. Examples are Compute Optimized (for example, C4 , C5 , C6g , and C7g ), Memory Optimization (for example, R4 , R5n , R5b , and R6g ).

• INVOICING_ENTITY - The name of the entity that issues the Amazon Web Services invoice.

• LEGAL_ENTITY_NAME - The name of the organization that sells you Amazon Web Services services, such as Amazon Web Services.

• LINKED_ACCOUNT - The description in the attribute map that includes the full name of the member account. The value field contains the Amazon Web Services ID of the member account.

• OPERATING_SYSTEM - The operating system. Examples are Windows or Linux.

• OPERATION - The action performed. Examples include RunInstance and CreateBucket .

• PLATFORM - The Amazon EC2 operating system. Examples are Windows or Linux.

• PURCHASE_TYPE - The reservation type of the purchase that this usage is related to. Examples include On-Demand Instances and Standard Reserved Instances.

• RESERVATION_ID - The unique identifier for an Amazon Web Services Reservation Instance.

• SAVINGS_PLAN_ARN - The unique identifier for your Savings Plans.

• SAVINGS_PLANS_TYPE - Type of Savings Plans (EC2 Instance or Compute).

• SERVICE - The Amazon Web Services service such as Amazon DynamoDB.

• TENANCY - The tenancy of a resource. Examples are shared or dedicated.

• USAGE_TYPE - The type of usage. An example is DataTransfer-In-Bytes. The response for the GetDimensionValues operation includes a unit attribute. Examples include GB and Hrs.

• USAGE_TYPE_GROUP - The grouping of common usage types. An example is Amazon EC2: CloudWatch – Alarms. The response for this operation includes a unit attribute.

• REGION - The Amazon Web Services Region.

• RECORD_TYPE - The different types of charges such as Reserved Instance (RI) fees, usage costs, tax refunds, and credits.

• RESOURCE_ID - The unique identifier of the resource. ResourceId is an opt-in feature only available for last 14 days for EC2-Compute Service.

If you set the context to RESERVATIONS , you can use the following dimensions for searching:

• AZ - The Availability Zone. An example is us-east-1a .

• CACHE_ENGINE - The Amazon ElastiCache operating system. Examples are Windows or Linux.

• DEPLOYMENT_OPTION - The scope of Amazon Relational Database Service deployments. Valid values are SingleAZ and MultiAZ .

• INSTANCE_TYPE - The type of Amazon EC2 instance. An example is m4.xlarge .

• LINKED_ACCOUNT - The description in the attribute map that includes the full name of the member account. The value field contains the Amazon Web Services ID of the member account.

• PLATFORM - The Amazon EC2 operating system. Examples are Windows or Linux.

• REGION - The Amazon Web Services Region.

• SCOPE (Utilization only) - The scope of a Reserved Instance (RI). Values are regional or a single Availability Zone.

• TAG (Coverage only) - The tags that are associated with a Reserved Instance (RI).

• TENANCY - The tenancy of a resource. Examples are shared or dedicated.

If you set the context to SAVINGS_PLANS , you can use the following dimensions for searching:

• SAVINGS_PLANS_TYPE - Type of Savings Plans (EC2 Instance or Compute)

• PAYMENT_OPTION - The payment option for the given Savings Plans (for example, All Upfront)

• REGION - The Amazon Web Services Region.

• INSTANCE_TYPE_FAMILY - The family of instances (For example, m5 )

• LINKED_ACCOUNT - The description in the attribute map that includes the full name of the member account. The value field contains the Amazon Web Services ID of the member account.

• SAVINGS_PLAN_ARN - The unique identifier for your Savings Plans.

Possible values:

• COST_AND_USAGE

• RESERVATIONS

• SAVINGS_PLANS

--filter (structure)

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 is as follows: { "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. By doing this, you can 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 is as follows: { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

Note

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" ] } }

Note

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

For the GetReservationPurchaseRecommendation action, only NOT is supported. AND and OR aren’t supported. Dimensions are limited to LINKED_ACCOUNT .

Or -> (list)

Return results that match either Dimension object.

(structure)

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 is as follows: { "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. By doing this, you can 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 is as follows: { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

Note

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" ] } }

Note

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

For the GetReservationPurchaseRecommendation action, only NOT is supported. AND and OR aren’t supported. Dimensions are limited to LINKED_ACCOUNT .

Or -> (list)

Return results that match either Dimension object.

( … recursive … )

And -> (list)

Return results that match both Dimension objects.

( … recursive … )

( … recursive … )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter that’s based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

And -> (list)

Return results that match both Dimension objects.

(structure)

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 is as follows: { "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. By doing this, you can 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 is as follows: { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

Note

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" ] } }

Note

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

For the GetReservationPurchaseRecommendation action, only NOT is supported. AND and OR aren’t supported. Dimensions are limited to LINKED_ACCOUNT .

Or -> (list)

Return results that match either Dimension object.

( … recursive … )

And -> (list)

Return results that match both Dimension objects.

( … recursive … )

( … recursive … )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter that’s based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

Not -> (structure)

Return results that don’t match a Dimension object.

Or -> (list)

Return results that match either Dimension object.

( … recursive … )

And -> (list)

Return results that match both Dimension objects.

( … recursive … )

( … recursive … )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter that’s based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter that’s based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

JSON Syntax:

{
  "Or": [
    {
      "Or": [
        { ... recursive ... }
        ...
      ],
      "And": [
        { ... recursive ... }
        ...
      ],
      "Not": { ... recursive ... },
      "Dimensions": {
        "Key": "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"|"INVOICING_ENTITY",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "Tags": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "CostCategories": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      }
    }
    ...
  ],
  "And": [
    {
      "Or": [
        { ... recursive ... }
        ...
      ],
      "And": [
        { ... recursive ... }
        ...
      ],
      "Not": { ... recursive ... },
      "Dimensions": {
        "Key": "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"|"INVOICING_ENTITY",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "Tags": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "CostCategories": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      }
    }
    ...
  ],
  "Not": {
    "Or": [
      { ... recursive ... }
      ...
    ],
    "And": [
      { ... recursive ... }
      ...
    ],
    "Not": { ... recursive ... },
    "Dimensions": {
      "Key": "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"|"INVOICING_ENTITY",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    },
    "Tags": {
      "Key": "string",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    },
    "CostCategories": {
      "Key": "string",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    }
  },
  "Dimensions": {
    "Key": "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"|"INVOICING_ENTITY",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  },
  "Tags": {
    "Key": "string",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  },
  "CostCategories": {
    "Key": "string",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  }
}

--sort-by (list)

The value that you want to sort the data by.

The key represents cost and usage metrics. The following values are supported:

• BlendedCost

• UnblendedCost

• AmortizedCost

• NetAmortizedCost

• NetUnblendedCost

• UsageQuantity

• NormalizedUsageAmount

The supported values for the SortOrder key are ASCENDING or DESCENDING .

When you specify a SortBy paramater, the context must be COST_AND_USAGE . Further, when using SortBy , NextPageToken and SearchString aren’t supported.

(structure)

The details for how to sort the data.

Key -> (string)

The key that’s used to sort the data.

SortOrder -> (string)

The order that’s used to sort the data.

Shorthand Syntax:

Key=string,SortOrder=string ...

JSON Syntax:

[
  {
    "Key": "string",
    "SortOrder": "ASCENDING"|"DESCENDING"
  }
  ...
]

--max-results (integer)

This field is only used when SortBy is provided in the request. The maximum number of objects that are returned for this request. If MaxResults isn’t specified with SortBy, the request returns 1000 results as the default value for this parameter.

For GetDimensionValues , MaxResults has an upper limit of 1000.

--next-page-token (string)

The token to retrieve the next set of results. Amazon Web Services provides the token when the response from a previous call has more results than the maximum page size.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

See ‘aws help’ for descriptions of global parameters.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To retrieve the tags for the dimension SERVICE, with a value of “Elastic”

This example retrieves the tags for the dimension SERVICE, with a value of “Elastic” for January 01 2017 through May 18 2017.

Command:

aws ce get-dimension-values --search-string Elastic --time-period Start=2017-01-01,End=2017-05-18 --dimension SERVICE

Output:

{
   "TotalSize": 6,
   "DimensionValues": [
       {
           "Attributes": {},
           "Value": "Amazon ElastiCache"
       },
       {
           "Attributes": {},
           "Value": "EC2 - Other"
       },
       {
           "Attributes": {},
           "Value": "Amazon Elastic Compute Cloud - Compute"
       },
       {
           "Attributes": {},
           "Value": "Amazon Elastic Load Balancing"
       },
       {
           "Attributes": {},
           "Value": "Amazon Elastic MapReduce"
       },
       {
           "Attributes": {},
           "Value": "Amazon Elasticsearch Service"
       }
   ],
   "ReturnSize": 6
}

Output

DimensionValues -> (list)

The filters that you used to filter your request. Some dimensions are available only for a specific context.

If you set the context to COST_AND_USAGE , you can use the following dimensions for searching:

• AZ - The Availability Zone. An example is us-east-1a .

• DATABASE_ENGINE - The Amazon Relational Database Service database. Examples are Aurora or MySQL.

• INSTANCE_TYPE - The type of Amazon EC2 instance. An example is m4.xlarge .

• LEGAL_ENTITY_NAME - The name of the organization that sells you Amazon Web Services services, such as Amazon Web Services.

• LINKED_ACCOUNT - The description in the attribute map that includes the full name of the member account. The value field contains the Amazon Web Services ID of the member account.

• OPERATING_SYSTEM - The operating system. Examples are Windows or Linux.

• OPERATION - The action performed. Examples include RunInstance and CreateBucket .

• PLATFORM - The Amazon EC2 operating system. Examples are Windows or Linux.

• PURCHASE_TYPE - The reservation type of the purchase to which this usage is related. Examples include On-Demand Instances and Standard Reserved Instances.

• SERVICE - The Amazon Web Services service such as Amazon DynamoDB.

• USAGE_TYPE - The type of usage. An example is DataTransfer-In-Bytes. The response for the GetDimensionValues operation includes a unit attribute. Examples include GB and Hrs.

• USAGE_TYPE_GROUP - The grouping of common usage types. An example is Amazon EC2: CloudWatch – Alarms. The response for this operation includes a unit attribute.

• RECORD_TYPE - The different types of charges such as RI fees, usage costs, tax refunds, and credits.

• RESOURCE_ID - The unique identifier of the resource. ResourceId is an opt-in feature only available for last 14 days for EC2-Compute Service.

If you set the context to RESERVATIONS , you can use the following dimensions for searching:

• AZ - The Availability Zone. An example is us-east-1a .

• CACHE_ENGINE - The Amazon ElastiCache operating system. Examples are Windows or Linux.

• DEPLOYMENT_OPTION - The scope of Amazon Relational Database Service deployments. Valid values are SingleAZ and MultiAZ .

• INSTANCE_TYPE - The type of Amazon EC2 instance. An example is m4.xlarge .

• LINKED_ACCOUNT - The description in the attribute map that includes the full name of the member account. The value field contains the Amazon Web Services ID of the member account.

• PLATFORM - The Amazon EC2 operating system. Examples are Windows or Linux.

• REGION - The Amazon Web Services Region.

• SCOPE (Utilization only) - The scope of a Reserved Instance (RI). Values are regional or a single Availability Zone.

• TAG (Coverage only) - The tags that are associated with a Reserved Instance (RI).

• TENANCY - The tenancy of a resource. Examples are shared or dedicated.

If you set the context to SAVINGS_PLANS , you can use the following dimensions for searching:

• SAVINGS_PLANS_TYPE - Type of Savings Plans (EC2 Instance or Compute)

• PAYMENT_OPTION - Payment option for the given Savings Plans (for example, All Upfront)

• REGION - The Amazon Web Services Region.

• INSTANCE_TYPE_FAMILY - The family of instances (For example, m5 )

• LINKED_ACCOUNT - The description in the attribute map that includes the full name of the member account. The value field contains the Amazon Web Services ID of the member account.

• SAVINGS_PLAN_ARN - The unique identifier for your Savings Plan

(structure)

The metadata of a specific type that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

Value -> (string)

The value of a dimension with a specific attribute.

Attributes -> (map)

The attribute that applies to a specific Dimension .

key -> (string)

value -> (string)

ReturnSize -> (integer)

The number of results that Amazon Web Services returned at one time.

TotalSize -> (integer)

The total number of search results.

NextPageToken -> (string)

The token for the next set of retrievable results. Amazon Web Services provides the token when the response from a previous call has more results than the maximum page size.