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.
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>]
--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
.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
--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
.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.
REGION - The Amazon Web Services Region.
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
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
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.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.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.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.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",
"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",
"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",
"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",
"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 by which you want to sort the data.
The key represents cost and usage metrics. The following values are supported:
BlendedCost
UnblendedCost
AmortizedCost
NetAmortizedCost
NetUnblendedCost
UsageQuantity
NormalizedUsageAmount
Supported values for
SortOrder
areASCENDING
orDESCENDING
.When you specify a
SortBy
paramater, the context must beCOST_AND_USAGE
. Further, when usingSortBy
,NextPageToken
andSearchString
are not supported.(structure)
The details of 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 to be returned for this request. If MaxResults is not specified with SortBy, the request will return 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.
See ‘aws help’ for descriptions of global parameters.
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
}
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.
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.