AWS CloudFormation
User Guide (Version )

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AWS::KinesisAnalyticsV2::Application ParallelismConfiguration

Describes parameters for how a Java-based Amazon Kinesis Data Analytics application executes multiple tasks simultaneously. For more information about parallelism, see Parallel Execution in the Apache Flink Documentation.

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

JSON

{ "AutoScalingEnabled" : Boolean, "ConfigurationType" : String, "Parallelism" : Integer, "ParallelismPerKPU" : Integer }

YAML

AutoScalingEnabled: Boolean ConfigurationType: String Parallelism: Integer ParallelismPerKPU: Integer

Properties

AutoScalingEnabled

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

Required: No

Type: Boolean

Update requires: No interruption

ConfigurationType

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.

Required: Yes

Type: String

Allowed Values: CUSTOM | DEFAULT

Update requires: No interruption

Parallelism

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.

Required: No

Type: Integer

Minimum: 1

Update requires: No interruption

ParallelismPerKPU

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.

Required: No

Type: Integer

Minimum: 1

Update requires: No interruption

See Also

On this page: