Usage Limit Args
data class UsageLimitArgs(val amount: Output<Int>? = null, val breachAction: Output<String>? = null, val clusterIdentifier: Output<String>? = null, val featureType: Output<String>? = null, val limitType: Output<String>? = null, val period: Output<String>? = null, val tags: Output<Map<String, String>>? = null) : ConvertibleToJava<UsageLimitArgs>
Creates a new Amazon Redshift Usage Limit.
Example Usage
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.redshift.UsageLimit;
import com.pulumi.aws.redshift.UsageLimitArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var example = new UsageLimit("example", UsageLimitArgs.builder()
.clusterIdentifier(aws_redshift_cluster.example().id())
.featureType("concurrency-scaling")
.limitType("time")
.amount(60)
.build());
}
}
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Import
Using pulumi import
, import Redshift usage limits using the id
. For example:
$ pulumi import aws:redshift/usageLimit:UsageLimit example example-id
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Constructors
Functions
Properties
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The type of limit. Depending on the feature type, this can be based on a time duration or data size. If FeatureType is spectrum
, then LimitType must be data-scanned
. If FeatureType is concurrency-scaling
, then LimitType must be time
. If FeatureType is cross-region-datasharing
, then LimitType must be data-scanned
. Valid values are data-scanned
, and time
.