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
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>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
--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
is2017-01-01
andend
is2017-05-01
, then the cost and usage data is retrieved from2017-01-01
up to and including2017-04-30
but not including2017-05-01
.Start -> (string)
The beginning of the time period. The start date is inclusive. For example, if
start
is2017-01-01
, Amazon Web Services retrieves cost and usage data starting at2017-01-01
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
is2017-05-01
, 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 differentContext
. For more information, seeContext
.LINK_ACCOUNT_NAME
andSERVICE_CODE
can only be used in CostCategoryRule .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 beRESERVATIONS
orCOST_AND_USAGE
. The default value isCOST_AND_USAGE
. If the context is set toRESERVATIONS
, the resulting dimension values can be used in theGetReservationUtilization
operation. If the context is set toCOST_AND_USAGE
, the resulting dimension values can be used in theGetCostAndUsage
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
andMultiAZ
.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
, andC7g
),Memory Optimization
(for example,R4
,R5n
,R5b
, andR6g
).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
andCreateBucket
.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
andMultiAZ
.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
. ForGetRightsizingRecommendation
, the Region is a full name (for example,REGION==US East (N. Virginia)
. TheExpression
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 createExpression
andDimensionValues
objects using eitherwith*
methods orset*
methods in multiple lines.Compound dimension values with logical operations - You can use multiple
Expression
types and the logical operatorsAND/OR/NOT
to create a list of one or moreExpression
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)
. TheExpression
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 anExpression
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 toLINKED_ACCOUNT
,REGION
, orRIGHTSIZING_TYPE
.For the
GetReservationPurchaseRecommendation
action, only NOT is supported. AND and OR aren’t supported. Dimensions are limited toLINKED_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
. ForGetRightsizingRecommendation
, the Region is a full name (for example,REGION==US East (N. Virginia)
. TheExpression
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 createExpression
andDimensionValues
objects using eitherwith*
methods orset*
methods in multiple lines.Compound dimension values with logical operations - You can use multiple
Expression
types and the logical operatorsAND/OR/NOT
to create a list of one or moreExpression
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)
. TheExpression
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 anExpression
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 toLINKED_ACCOUNT
,REGION
, orRIGHTSIZING_TYPE
.For the
GetReservationPurchaseRecommendation
action, only NOT is supported. AND and OR aren’t supported. Dimensions are limited toLINKED_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 forExpression
.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.LINK_ACCOUNT_NAME
andSERVICE_CODE
can only be used in CostCategoryRule .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 forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string)
Tags -> (structure)
The specific
Tag
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_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
isEQUALS
andCASE_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
. ForGetRightsizingRecommendation
, the Region is a full name (for example,REGION==US East (N. Virginia)
. TheExpression
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 createExpression
andDimensionValues
objects using eitherwith*
methods orset*
methods in multiple lines.Compound dimension values with logical operations - You can use multiple
Expression
types and the logical operatorsAND/OR/NOT
to create a list of one or moreExpression
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)
. TheExpression
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 anExpression
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 toLINKED_ACCOUNT
,REGION
, orRIGHTSIZING_TYPE
.For the
GetReservationPurchaseRecommendation
action, only NOT is supported. AND and OR aren’t supported. Dimensions are limited toLINKED_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 forExpression
.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.LINK_ACCOUNT_NAME
andSERVICE_CODE
can only be used in CostCategoryRule .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 forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string)
Tags -> (structure)
The specific
Tag
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_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
isEQUALS
andCASE_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 forExpression
.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.LINK_ACCOUNT_NAME
andSERVICE_CODE
can only be used in CostCategoryRule .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 forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string)
Tags -> (structure)
The specific
Tag
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_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
isEQUALS
andCASE_SENSITIVE
.(string)
Dimensions -> (structure)
The specific
Dimension
to use forExpression
.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.LINK_ACCOUNT_NAME
andSERVICE_CODE
can only be used in CostCategoryRule .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 forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string)
Tags -> (structure)
The specific
Tag
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_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
isEQUALS
andCASE_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 areASCENDING
orDESCENDING
.When you specify a
SortBy
paramater, the context must beCOST_AND_USAGE
. Further, when usingSortBy
,NextPageToken
andSearchString
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 valueinput
, prints a sample input JSON that can be used as an argument for--cli-input-json
. Similarly, if providedyaml-input
it will print a sample input YAML that can be used with--cli-input-yaml
. If provided with the valueoutput
, 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.Global Options¶
--debug
(boolean)Turn on debug logging.
--endpoint-url
(string)Override command’s default URL with the given URL.
--no-verify-ssl
(boolean)By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)Disable automatic pagination.
--output
(string)The formatting style for command output.
json
text
table
yaml
yaml-stream
--query
(string)A JMESPath query to use in filtering the response data.
--profile
(string)Use a specific profile from your credential file.
--region
(string)The region to use. Overrides config/env settings.
--version
(string)Display the version of this tool.
--color
(string)Turn on/off color output.
on
off
auto
--no-sign-request
(boolean)Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format
(string)The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob
fileb://
will always be treated as binary and use the file contents directly regardless of thecli-binary-format
setting. When usingfile://
the file contents will need to properly formatted for the configuredcli-binary-format
.
base64
raw-in-base64-out
--no-cli-pager
(boolean)Disable cli pager for output.
--cli-auto-prompt
(boolean)Automatically prompt for CLI input parameters.
--no-cli-auto-prompt
(boolean)Disable automatically prompt for CLI input 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 SERVICEOutput:
{ "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
andCreateBucket
.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. You can opt-in by enabling
Hourly
andResource Level Data
in Cost Management Console preferences.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
andMultiAZ
.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.