interface ParallelismConfigurationProperty

Language	Type name
.NET	Amazon.CDK.AWS.KinesisAnalyticsV2.CfnApplication.ParallelismConfigurationProperty
Java	software.amazon.awscdk.services.kinesisanalyticsv2.CfnApplication.ParallelismConfigurationProperty
Python	aws_cdk.aws_kinesisanalyticsv2.CfnApplication.ParallelismConfigurationProperty
TypeScript	@aws-cdk/aws-kinesisanalyticsv2 » CfnApplication » ParallelismConfigurationProperty

Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously.

For more information about parallelism, see Parallel Execution in the Apache Flink Documentation .

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import * as kinesisanalyticsv2 from '@aws-cdk/aws-kinesisanalyticsv2';
const parallelismConfigurationProperty: kinesisanalyticsv2.CfnApplication.ParallelismConfigurationProperty = {
  configurationType: 'configurationType',

  // the properties below are optional
  autoScalingEnabled: false,
  parallelism: 123,
  parallelismPerKpu: 123,
};

Properties

Name	Type	Description
configurationType	string	Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
autoScalingEnabled?	boolean | IResolvable	Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
parallelism?	number	Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.
parallelismPerKpu?	number	Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.

---

configurationType

Type: string

Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.

You must set this property to CUSTOM in order to change your application's AutoScalingEnabled , Parallelism , or ParallelismPerKPU properties.

---

autoScalingEnabled?

Type: boolean | IResolvable (optional)

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

---

parallelism?

Type: number (optional)

Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.

The Kinesis Data Analytics service can increase this number automatically if ParallelismConfiguration:AutoScalingEnabled is set to true .

---

parallelismPerKpu?

Type: number (optional)

Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.

For more information about KPUs, see Amazon Kinesis Data Analytics Pricing .