Create Usage Limit
redshift_create_usage_limit | R Documentation |
Creates a usage limit for a specified Amazon Redshift feature on a cluster¶
Description¶
Creates a usage limit for a specified Amazon Redshift feature on a cluster. The usage limit is identified by the returned usage limit identifier.
Usage¶
redshift_create_usage_limit(ClusterIdentifier, FeatureType, LimitType,
Amount, Period, BreachAction, Tags)
Arguments¶
ClusterIdentifier
[required] The identifier of the cluster that you want to limit usage.
FeatureType
[required] The Amazon Redshift feature that you want to limit.
LimitType
[required] The type of limit. Depending on the feature type, this can be based on a time duration or data size. If
FeatureType
isspectrum
, thenLimitType
must bedata-scanned
. IfFeatureType
isconcurrency-scaling
, thenLimitType
must betime
. IfFeatureType
iscross-region-datasharing
, thenLimitType
must bedata-scanned
.Amount
[required] The limit amount. If time-based, this amount is in minutes. If data-based, this amount is in terabytes (TB). The value must be a positive number.
Period
The time period that the amount applies to. A
weekly
period begins on Sunday. The default ismonthly
.BreachAction
The action that Amazon Redshift takes when the limit is reached. The default is log. For more information about this parameter, see UsageLimit.
Tags
A list of tag instances.
Value¶
A list with the following syntax:
list(
UsageLimitId = "string",
ClusterIdentifier = "string",
FeatureType = "spectrum"|"concurrency-scaling"|"cross-region-datasharing",
LimitType = "time"|"data-scanned",
Amount = 123,
Period = "daily"|"weekly"|"monthly",
BreachAction = "log"|"emit-metric"|"disable",
Tags = list(
list(
Key = "string",
Value = "string"
)
)
)
Request syntax¶
svc$create_usage_limit(
ClusterIdentifier = "string",
FeatureType = "spectrum"|"concurrency-scaling"|"cross-region-datasharing",
LimitType = "time"|"data-scanned",
Amount = 123,
Period = "daily"|"weekly"|"monthly",
BreachAction = "log"|"emit-metric"|"disable",
Tags = list(
list(
Key = "string",
Value = "string"
)
)
)