class Aws::KinesisAnalyticsV2::Types::ParallelismConfiguration
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].
[1]: ci.apache.org/projects/flink/flink-docs-release-1.8/dev/parallel.html [2]: ci.apache.org/projects/flink/flink-docs-release-1.8/
@note When making an API call, you may pass ParallelismConfiguration
data as a hash: { configuration_type: "DEFAULT", # required, accepts DEFAULT, CUSTOM parallelism: 1, parallelism_per_kpu: 1, auto_scaling_enabled: false, }
@!attribute [rw] configuration_type
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. @return [String]
@!attribute [rw] parallelism
Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If `AutoScalingEnabled` is set to True, Kinesis Data Analytics increases the `CurrentParallelism` value in response to application load. The service can increase the `CurrentParallelism` value 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 can reduce the `CurrentParallelism` value down to the `Parallelism` setting. @return [Integer]
@!attribute [rw] parallelism_per_kpu
Describes the number of parallel tasks that a Flink-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][1]. [1]: http://aws.amazon.com/kinesis/data-analytics/pricing/ @return [Integer]
@!attribute [rw] auto_scaling_enabled
Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput. @return [Boolean]
@see docs.aws.amazon.com/goto/WebAPI/kinesisanalyticsv2-2018-05-23/ParallelismConfiguration AWS API Documentation
Constants
- SENSITIVE