Amazon Kinesis Analytics
kinesisanalytics (API Version 2018-05-23)

ParallelismConfigurationUpdate

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

Contents

AutoScalingEnabledUpdate

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

Type: Boolean

Required: No

ConfigurationTypeUpdate

Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Type: String

Valid Values: DEFAULT | CUSTOM

Required: No

ParallelismPerKPUUpdate

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

Type: Integer

Valid Range: Minimum value of 1.

Required: No

ParallelismUpdate

Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

Type: Integer

Valid Range: Minimum value of 1.

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

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